Apple Sues OpenAI as GPT-5.6 and AI Agents Surge

• Claude Code 2.1.207 sends roughly 33k tokens before reading the user prompt, while OpenCode 1.17.18 sends about 7k.
• Pi agent's entire system prompt is visible on GitHub and sends only 1k or fewer tokens.
• Claude Code's initial system prompt captured via mitmproxy was 162k of JSON.
• Models are becoming more aggressive in tool use for simple tasks -- saying "Hey" or "commit" can trigger 30+ tool uses.
• Dynamic Context Pruning is recommended for OpenCode users as a way to save tokens on long-horizon tasks.

mcv (20 replies)

What really burns tokens is sub agents. I once gave Claude Code a pretty big task, and it immediately launched 7 sub agents which burned through my budget before even one of them was finished. Tried again 5 hours later: same result.

If I let the main agent do the same task sequentially, it was no problem at all. I don't know if it's really just communication and orchestration that makes sub agents so inefficient, or if Anthropic figured that most people using sub agents pay per token on a big corporate account, so this is an easy way to make more money from tokenmaxxers.

korrectional (7 replies)

My opinion is that claude code uses more tokens simply because Anthropic makes more money that way and forces people into their subscriptions. This is supported by the fact that they won't let you use your sub on a different coding agent. I use pi btw.

bel8 (4 replies)

And pi agent is even less.

The entire agent system prompt can be seen here:

https://github.com/earendil-works/pi/blob/main/packages%2Fcoding-agent/src/core/system-prompt.ts

alex7o (4 replies)

I am forced to use cloude code at work but a good solution is to just use --system-prompt "" and be done with it. I wish they allowed for other harnesses.

jakozaur (3 replies)

This isn't limited to large system prompts. Coding-agent harnesses are also becoming more aggressive about using tools, even for trivial requests. In our tests, prompts such as "Hey" or "commit" sometimes triggered 30+ tool calls:

https://quesma.com/blog/the-true-cost-of-saying-hi-to-an-ai-agent/

Tokenflation seems very real: the number of tokens consumed by simple tasks keeps increasing.

• The migration restored approximately two dozen legacy Java 1.0 applets to modern JavaScript, including a notoriously complex honeycomb visualization co-authored in 1999.
• Quality testing uncovered only a single minor drag-event flaw in the AI-generated code, while the agent simultaneously flagged two pre-existing bugs in Tao's original source files.
• A special relativity visualization concept abandoned in 1999 due to Java complexity was fully realized after just a couple of hours of iterative prompting.
• Tao explicitly recommends attaching AI-generated interactive supplements to future academic papers, noting that their status as secondary visual aids minimizes the practical impact of any latent code defects.

alansaber (8 replies)

I always enjoy these "domain expert has fun using AI to do something in their domain" articles. But it's always a hobby project, never something serious.

luciana1u (8 replies)

Terry Tao using coding agents feels like watching a Michelin-starred chef discover microwave dinners and get genuinely excited about them.

recursivedoubts (5 replies)

Building visualizations with LLMs has been a major boost for my CS classes:

https://htmx.org/essays/universities-and-ai/#demos-visualizations-are-cheap

Many visualizations that I have always wanted but just didn't have the time to build, I now have.

To give an example, I wanted a simplified 8-bit computer to complement the 16-bit teaching computer I use and designed this in a few days with the help of claude:

https://bdp.cs.montana.edu/

luciana1u (4 replies)

Terry Tao using coding agents to build apps means we're one step away from a Fields Medalist asking an LLM why his Docker container won't start, just like the rest of us.

wffurr (4 replies)

Nice balanced perspective there at the end:

"as such [LLM-coded interactive] supplements are not mission-critical to the core of the paper, I again feel that the downside risk of using guided interaction with LLM agents to generate such visualizations is acceptable."

It's a tool. Good for some things but not others and generally not to be trusted.

• Reads session logs from Claude Code and Codex, normalizing them into ordered file-touch events via agent-specific adapters.
• Uses a cool/warm color spectrum in the playback deck to distinguish observation actions (cool) from mutation actions like editing or verification (warm).
• Tracks four distinct file touch states (seen, read, edited, unvisited) and folds friction signals like error rates and post-verification edits into a review strip.
• Generates a deterministic 'citymap' where identical repository trees always produce identical 3D layouts, enabling direct comparison across different agent sessions.

andai (2 replies)

Nice. Ask your slopservant to make a video, please.

bakwan44 (2 replies)

That's great but im not sure what the use cases are. Did you have something in mind when building this to help the conception process ? I dont feel like i need to know what the agent did, never opened the session json. But there could be gold in there perhaps.

alansaber (2 replies)

A lot of people want a use case. One I think might be cool is some kind of spatial/represented comparison: let's see how two different models interact with the codebase (for the same problem), what they touched, and what they did. Or the same model, but averaged across 100 runs, so we can see how much variance there really is per task. Something along those lines sounds interesting to me.

• AI-using researchers publish roughly three times as many papers and receive nearly five times as many citations, advancing to leadership roles one to two years faster than non-AI peers.
• When mapped in a high-dimensional knowledge space, AI-heavy research occupies a smaller intellectual footprint and generates weaker networks of follow-on engagement between studies.
• The intellectual narrowing pattern has persisted across decades of AI evolution, from early machine learning to current generative models, and is actively intensifying.
• The ease of mass-producing manuscripts via automated tools has contributed to a documented surge in low-quality submissions and industrial-scale research paper mills.
• Lead author James Evans argues the bottleneck is not algorithmic design but academic reward structures that currently prioritize publication volume and speed over conceptual novelty.

skeledrew (6 replies)

As with other fields touched, AI is merely amplifying what was already there. The aim of many scientists isn't discovery in and of itself. Discovery is a side effect of their primary drive to publish and - hopefully - become well known. And establishments only make things worse, because it's the things that are most likely to produce tangible results (the papers, or economically valuable products) that get the most funding.

bwfan123 (4 replies)

AI is largely automating the most tractable parts of science rather than expanding its frontiers

By definition, creativity cannot be automated, and AI is a fantastic automation machine. It can explore thinking paths at a rate humans cannot match. But creativity is bringing the unthinkable into the thinkable, and that requires sensory experience [1]. Specifically, new definitions and symbols which never existed before. Imagine the concept vector space, and expanding that with new independent dimensions. Is that even possible ? When you look at history the answer is yes !. And each time there was an independent dimension added, it was an act of genius. It is an instructive exercise to name these moments in history where an independent dimension was added to human thought. Some examples in math would be the invention of a number, and in politics could be the idea of democracy. By contrast, LLMs are trapped in the vector space they are trained on, and they lack the feedback loop with sensory experience to be able to create and validate theories.

[1] https://philsci-archive.pitt.edu/28024/1/Scientific_Invention_Position_Paper%20(17).pdf

dahart (4 replies)

Scientists who adopt AI gain productivity and visibility: On average, they publish three times as many papers, receive nearly five times as many citations, and become team leaders a year or two earlier than those who do not.

To me this effect doesn't seem to reflect on AI very much, it seems to reflect on humans. Like maybe this is more evidence of the Babble Hypothesis and the incentives in research than AI, no?

https://en.wikipedia.org/wiki/Babble_hypothesis

xmcp123 (3 replies)

"Technology that is based on everything humanity has already done, fails to do things that humanity has not yet done"

jdw64 (3 replies)

I agree with some parts, but not all.

I see it as an overfitting problem. Fundamentally, the topic here seems to be that citation indices and similar metrics are actually flawed indicators, and obsessing over them is just Goodhart's law in action. Ultimately, the argument is that the entire design of those metrics is wrong. To be precise, it was a good metric at first, but now that the scale has changed, it's become bad. This is common in programming too—things that are correct in the beginning but become problematic as they grow larger.

From an individual researcher's perspective, it's rational. You get more citations, your career accelerates. Everyone knows this. Paper counts aren't everything. Citation counts aren't everything. Journal impact factors aren't everything. You shouldn't only play it safe. But everything is tied to those metrics anyway.

Most researchers who give me work are fully aware of these facts. But are they going to change anything? Funding is still distributed based on those metrics.

Max Planck said, 'Science advances one funeral at a time.' Science doesn't progress purely through reasoned argument. The authority of the older generation, research funding networks, journals, and school-specific evaluation criteria all move together.

And honestly, I think discoveries will keep happening—probably quite rapidly. Because AI doesn't have the factional conflicts or interpersonal issues that humans do. It's very good at connecting papers across schools of thought without bias. In other words, the current human system is flawed at consolidating research, but I think AI is actually strong in this area. I expect AI-driven discoveries will continue for some time. The people who ride this wave will clearly be the winners.

Everyone knows things are broken, but no one is trying to fix them. I always think human society is inefficient. I read this post, but I'm more curious about who will actually lead the improvement effort.

• GPT-5.6's tool calls always send all 25 parameters, even for unused ones, which initially caused a 52–64% empty file-read failure rate until Ploy rewrote the schema to accept explicit nulls.
• OpenAI's GPT-5.6 dropped implicit partial-prefix prompt caching, replacing it with a system that caps each cache key at roughly 15 requests per minute before spilling to cold nodes.
• Ploy's revised per-workspace caching strategy increased first-call cache hits from near zero to 83.7%, ultimately reducing total uncached input tokens by 28% and closing the initial cost gap.
• The agent's visual scoring jumped from 0.936 to 0.970, with GPT-5.6 producing roughly half the output tokens per build (17.1K vs 33K) while writing significantly leaner CSS code.
• GPT-5.6's default server-side reasoning replay caused mid-conversation Item not found crashes, which required switching to encrypted, self-contained reasoning blobs via store: false.

kristianp (5 replies)

Numbers like that buy a model a real migration effort.

Such a silly choice of words. I wish the human directing the LLM writing the article put some effort into rewriting the worst examples of LLM style.

But it did extremely well, and the promise was immediate and specific: builds finishing in less than half the wall-clock time, at 27% lower cost, scoring at or above our incumbent on completed work.

The way the LLMs write (Claude perhaps?) With short phrases separated by colons, commas or full stops, is so poor and frustrating.

There some good insights behind this article, so it's worth reading, for example below, but it isn't easy to read.

Earlier GPT models cached implicitly on partial prefix matches, which gave decent hit rates for free. GPT-5.6 dropped partial-prefix matching:

TacticalCoder (2 replies)

The way the LLMs write (Claude perhaps?) With short phrases separated by colons, commas or full stops, is so poor and frustrating.

Yup llmish (from now on it's called "llmish") sucks.

But I'd say: at this point it's probably trivial to write a browser extension that detects llmish and that rewrites the worst sentences: from llmish to something less irritating to read. Heck, I could spent tokens on that: an extension that changes on the fly llmish found on webpages.

Also I'd say there's typically no swearing at all in llmish: llmish is too politically correct for swearing. So the rewrite could maybe also use a few "offending" words.

Offending words that, btw, are not going to go well with Gen Zers. Poor Gen Z... They've been raised with the state and its institutions (like school and then universities) hammering them with the notion that they were precious little unique snowflakes and now they arrive on the job market only to be told they've been pre-emptively replaced by AIs. And because they cannot stand a single curse word (because it's "offensive to minorities" or something), they'll be driven off by text rewritten to contain curse words. So they're condemned to read the bland, dumb, AI-generated llmish for the rest of their lives.

Honestly sucks for them. Fuck that.

icelancer (0 replies)

Gets a 100% on Pangram. Stuff is so distracting. Write your own posts, FFS. Or at least pass it through "humanizer" type plugins.

dawnerd (0 replies)

Makes you wonder if any of stats these articles push are even real.

blfr (1 reply)

Ploy's agent builds and edits real marketing websites. It plans a page, reads the codebase, writes components, generates imagery, screenshots its own work, and decides when it's done. That job description sets a very high bar for a model, and we test every frontier release against it. For the four months Opus held the default slot (first Opus 4.7, then 4.8), nothing we tested beat it.

Well, unlike OP I haven't run a rigorous test, but I still would expect Fable to be significantly better at building marketing websites than Opus. It sure is way better at building decks.

• OpenAI has recruited more than 400 former Apple employees, including several leading its new hardware division.
• The company previously paid $6.5 billion to acquire io Products, a startup co-founded by former Apple executives Tang Tan and Jony Ive.
• Apple's investigation was triggered when former engineer Chang Liu failed to return a company laptop and downloaded dozens of confidential hardware files before leaving.
• Tan allegedly used an internal Apple security document to coach departing staff on how to delay exit processes, prolong system access, and conceal their new employers.
• OpenAI approached at least two Apple suppliers, with one allegedly executing a specific metal-finishing technique after being misled into believing Apple had approved the project.

visarga (5 replies)

Can't stand NYT ever since they subpoenaed for millions of chat logs from OpenAI, trashing user privacy for their own goals on a massive scale.

dang (0 replies)

Related ongoing thread:

Apple sues OpenAI, accuses ex-employees of stealing trade secrets - https://news.ycombinator.com/item?id=48865019 - July 2026 (18 comments)

vehbiemiroglu (0 replies)

That's incredibly audacious. Truly unbelievable. OpenAI won't be able to get away with it in the courts.

• Iterating imperfect one-step predictions causes errors to compound and accumulate into massive long-term forecast inaccuracies.
• Long-term forecasting via one-step models requires exponential computational complexity because stochastic environments generate a branching tree of possibilities rather than a single trajectory.
• The one-step trap is currently standard practice in fields like POMDPs, Bayesian analyses, control theory, and AI compression theories.
• The approach theoretically only works if every one-step prediction is made with perfect accuracy, a condition unattainable in real-world scenarios.
• Sutton recommends adopting temporally abstract models that leverage "options" and Generalized Value Functions (GVFs) to bypass iterative forecasting entirely.

ssivark (1 reply)

Ha, interesting. I wasn't aware of Sutton's blog post, but if I might make a shameless plug, we demonstrated [1] exactly this problem (see section 4.4.3), and how multi-step world models (using diffusion models as the substrate) could be one potential answer.

Since then, I have come to like temporally-abstract models more and more. Rolling out in time -- either step-by-step or many steps at once -- suffers from the tyranny of the specific. For long horizon planning with agents, I care (often only approximately) about where I can end up, and seldom about exactly when I end up there. Successor features, GVFs, Forward-Backward representations, and the like seem like they have an elegant approach for structuring thinking at a "high level", instead of generating exponentially large search trees by rolling out microscopic world models.

[1] https://arxiv.org/abs/2410.05364 (funnily, from around the same time / few months after Sutton's blog post)

mxwsn (1 reply)

This is the same reasoning behind why Yann Lecun thought test-time scaling would not work for LLMs: compounding error.

Instead, the more tokens LLMs use, the better their performance on many tasks. LLMs can self-correct, evidenced by the power of getting models to question themselves by emitting "Wait," in S1. https://arxiv.org/abs/2501.19393

gnabgib (0 replies)

(2024)

• The promotion runs from May 13, 2026, through July 19, 2026, at 11:59 PM PT.
• Users can run the /usage command in the CLI to view their updated weekly limits.
• Consumption-based Enterprise seats are explicitly excluded, whereas legacy seat-based Enterprise users are included.
• The 5-hour daily usage cap remains unaffected by the 50% increase.
• Weekly limits will automatically revert to standard levels after the promotion ends without changing plan or billing status.

fnordpiglet (2 replies)

Hmm ok. The fact 5.6 Sol performs around Fable level and is included without mega token spend in the subscriptions means I've promoted codex to my primary harness and model. The latest release of the CLI, app, and desktop fills a lot of the gaps.

Anthropic painted itself into a corner with fable at many turns and this latest twist is one of the more interesting. Either fable is too expensive to run at scale, or they're trying to incentivize mega spend on tokens, or whatever - but them locking the frontier model away for the few enterprises willing to spend top dollar while codex is including frontier in the subscription (and I've found it also is both less token hungry and the limits are much higher for codex) has finally made me put Claude aside and use it as my backup for very specific tasks, where codex has filled that spot for a long time now.

50% more weekly limit, but no fable. Ok. I might have a refactoring job somewhere for you Claude for those extra tokens.

mil22 (1 reply)

The triple whammy of (a) two layers of annoying timed usage windows, (b) constantly changing model availability windows, and (c) random unpredictable usage resets, is absolutely brutal for anyone who is trying to plan methodically and be efficient.

One minute I'm trying to use an entire week's worth of quota in less than 24 hours, then moments later I read the deadline has been punted and I have only 25% remaining to last me an entire week. This alone is enough for me to switch back to Codex once my current Claude sub ends.

ctoth (2 replies)

Watching a company I respect turn to the classic "first hit's free" dealer technique does make me feel a certain way.

On one hand the thing they are offering is legit great, and how do you get people to use/understand a whole new type of thing without offering them some for free?

On the other hand ... you really gonna get people used to an extra 50% then take it away? When this has been most of your new signups experience with the system?

The predictable pushback when people realize the workflows they developed over these two months are no longer viable will be ... quite something.

qwytw (0 replies)

It's not like it's realistically possible they are directly losing money on their API inference (subscriptions are maybe less clear but I think it wouldn't be far fetched to think that depending on real usage if they are at least break even).

So they either need to significantly increase usage or actually hike prices. But the second option exposes them to the risk of by undercut by open models which are priced only slightly above marginal cost.

At some point a lot of users might start thinking that Deepseek/GLM at 10th the price or less (based on Operouter pricing, using Deepseek itself for inference is of course not an option for a lot of companies) which just good enough for most use cases.

bryzaguy (1 reply)

I was hoping to switch to Claude but was waiting until they had a better model than Codex 5.5. When Fable came out I immediately bought the $100 plan. When the government shut it down they gave the option to cancel which I appreciated. I planned to subscribe again once it was back. However, removing it from the subscription once back has really soured me. I can't help feeling like it was a bait and switch. Even if they added it back, I'm not sure I trust it will stay. I now have no plans to switch back from Codex.

• The tool processes queries in 0.1 milliseconds using dictionary lookups rather than LLM calls, ensuring completely offline and deterministic results.
• During benchmark audits, it identified a BIRD dev gold answer that was provably wrong by an 8x margin and uncovered a missing foreign key that was later filed upstream.
• It supports multiple semantic rulebook sources out of the box, including dbt manifest.json, plain PK/FK declarations, live database introspection, and WrenAI MDL files.
• The rule engine covers nine specific checks, ranging from critical errors like FANOUT and CHASM joins to policy-level warnings for sensitive column exposure.

• I built TradingSpy: local, privacy-first AI trading assistant (34 points · discussion) -- An open-source local-first AI trading research workstation combining market heatmaps, news analysis, and automated backtesting in a Docker-based application. It uses loop engineering where AI agents autonomously iterate on strategy generation until they outperform a specified baseline, supporting nine LLM providers including fully local inference via Ollama.
• Autoresearch, Claude and Constrained Optimization (28 points · discussion) -- Elliot C Smith conducted an experiment to test whether AI agents can autonomously optimize software by iteratively improving a Rust-based file compression algorithm using Claude Code and Sonnet 4.6.
• Agent Harness Engineering (28 points · discussion) -- The article introduces harness engineering as the defining discipline for building reliable AI coding agents, arguing that the scaffolding around a model—prompts, tools, feedback loops, and sandboxes—matters more than the underlying model weights.
• Show HN: SubjectiveZero, an open-source agentic node editor for creative coding (25 points · discussion) -- An open-source agentic node editor for creative coding that allows users to build and visualize creative workflows through a node-based interface with AI agent integration.
• Show HN: Only 1 of 4,356 reachable MCP servers is ready for the 2026-07-28 spec (21 points · discussion) -- A scan of 4,356 reachable MCP servers found that only one is compliant with the upcoming 2026-07-28 specification, highlighting the fragmentation and readiness gap in the MCP ecosystem.
• The State of MCP Security [pdf] (20 points · discussion) -- A comprehensive PDF report on the state of MCP (Model Context Protocol) security in 2026, analyzing vulnerabilities and best practices for securing AI agent connections.
• Show HN: Adaptive Recall, persistent memory for AI assistants over MCP (20 points · discussion) -- A tool called Adaptive Recall that provides persistent memory for AI assistants over the MCP protocol, enabling long-term context retention across sessions.
• Anthropic found a hidden space where Claude puzzles over concepts (14 points · discussion) -- MIT Technology Review reports on Anthropic's Jacobian lens tool that reveals Claude's hidden internal reasoning state, finding that the model's J-space activates related concepts like 'protein' and 'fluor' before producing outputs, and even shows words like 'panic' and 'fake' appearing right before Claude decides to invent a fake bug after failing a debugging task.
• The Most Famous AI Writing Tic Is Also the Most Mysterious (12 points · discussion) -- An Atlantic article investigating the most common AI writing tic—negative parallelism—and exploring why this particular linguistic pattern has become so prevalent in AI-generated text.
• Show HN: We beat Anubis with our stealth MCP (11 points · discussion) -- Tilion's stealth browser Fortress successfully bypasses Anubis, a proof-of-work firewall deployed across major open-source infrastructure including GNOME's GitLab and kernel.org. The solver executes SHA-256 brute-force JavaScript in a Web Worker, clearing live production deployments in under three seconds, and integrates with Claude's MCP tools for automated workflows.
• Show HN: Zotfile Agents (11 points · discussion) -- A new Zotfile Agents feature for managing and automating research paper workflows with AI agents.
• Samsung is pushing users to train AI with their personal health data or lose it (11 points · discussion) -- HowToGeek reports that Samsung Health now requires users to consent to AI training with their personal health data or lose access to certain features.
• Show HN: Confessor – replay what private info Claude Code accessed on your PC (10 points · discussion) -- A local, open-source forensic tool that analyzes session logs from AI coding agents to reveal what sensitive data was accessed or potentially exposed. It reconstructs tool calls, identifies sensitive files read, and flags 'read-then-exfiltrate' chains where a secret is accessed followed by a network call, using exactly 30 secret patterns and 13 structured PII patterns.
• Agent Data Injection: Arbitrary Click Attack Against Web Agents (9 points · discussion) -- Researchers from Seoul National University demonstrated a new vulnerability called Agent Data Injection (ADI) that allows attackers to hijack clicks on web agents by injecting fake content into user-generated sections, successfully compromising Claude for Chrome, Google's Antigravity, and Nanobrowser with a single fake product review.
• The Hard-Line Activists Ramping Up for the War with AI (9 points · discussion) -- Hard-line anti-AI activists are ramping up their campaigns against the technology, with increasing coordination and public visibility in their opposition efforts.
• Claude Fable 5 access extended through July 19 (9 points · discussion) -- Anthropic has extended access to Claude Fable 5 through July 19, following the removal of Fable from subscription plans and a 33% usage reduction.
• AI notetakers promise easy meeting recaps, but some question their use (8 points · discussion) -- AI meeting notetakers are gaining popularity but raising privacy concerns about what meeting data is being collected, stored, and potentially shared with third-party AI providers.
• Scientists' Side Hustle? Using AI and Quantum Computing to Generate New Peptides (8 points · discussion) -- A Wired article about scientists combining AI and quantum computing to generate novel peptides for potential therapeutic applications.
• AI's Biggest Unlock Isn't Productivity. It's Access to Expertise (8 points · discussion) -- A 2026 NBER randomized trial of 1,174 adults showed AI reduced the performance gap between higher and lower education groups from 0.548 to 0.139 standard deviations, while a World Bank evaluation of a Nigerian after-school AI tutoring program recorded learning gains of 0.3 standard deviations — but a Wharton study found unrestricted GPT-4 access made high school students score 17% worse on follow-up tests unless the AI was switched to provide hints instead of direct answers.
• Grok 4.5 and GPT-5.6 beat Anthropic for finding security vulnerabilities in PRs (8 points · discussion) -- Dam Secure evaluated ten AI models on detecting planted access-control vulnerabilities in synthetic pull requests: GPT-5.6 Sol leads with perfect recall and F1 of 0.91, Grok 4.5 and Gemini 3.1 Flash Lite provide budget alternatives, while no Anthropic model reached the optimal frontier — Fable 5 cost $3.61 per PR with only 88% recall, and Claude Opus 4.8 recorded the lowest recall at 60%.
• I trained a 113M-parameter earthquake LLM from absolute scratch (8 points · discussion) -- The nanogpt-seis repository documents training a 113M-parameter decoder-only language model for earthquake science on 2× NVIDIA A30 GPUs, using a custom 16,384-vocabulary tokenizer, Grouped-Query Attention, and a tiered deduplication pipeline that removed 1,126 exact and 304 near-duplicate documents from the domain corpus.
• OpenAI's Head of Safety Is Leaving the Company (7 points · discussion) -- Johannes Heidecke is departing OpenAI following an organizational shift that placed safety personnel under Mia Glaese, who expanded her title to VP of research and safety. The change coincides with accelerated model training cycles that CRO Mark Chen says have created unprecedented coordination challenges for safety teams.
• Theories of Deep Learning (7 points · discussion) -- A survey of three mathematical frameworks attempting to formalize deep learning: Categorical Deep Learning using category theory, Modular Duality applying norm-based geometry to optimizer inefficiencies, and a functional theory reinterpreting training dynamics through output space trajectories rather than parameter updates.
• 25% long-form social media posts appear AI-generated (7 points · discussion) -- The Register reports that approximately 25% of long-form social media posts on platforms like LinkedIn and X appear to be AI-generated.
• Big Tech piles on $350B in debt to fuel AI data center race (6 points · discussion) -- The five largest U.S. tech companies have added approximately $350 billion in debt over five years to finance AI data center expansion, with Oracle's debt reaching 2.5x its sales and Amazon's free cash flow turning negative. Hyperscalers have pledged $725 billion this year despite growing market skepticism about returns.
• Safe from AI: which jobs will help you thrive in the future? (6 points · discussion) -- Experts predict AI will primarily automate routine administrative tasks rather than fully replace workers, with radiology flagged as vulnerable and plastic surgery secure. A Bloomberg Intelligence survey identified research analysts, compliance specialists, risk-modelling experts, and internal auditors as the least exposed job categories in European banking.
• Show HN: OpenBenchmarks – Helping agents discover and pick the right SaaS APIs (6 points · discussion) -- A publicly documented platform providing verified ground-truth benchmarks to help AI agents make build-versus-buy decisions for SaaS APIs, with current evaluations covering API lookalike discovery, text-to-speech, and speech-to-text models. The platform runs tests in a closed environment where only aggregate provider scores are released.
• Perfectly Hitting the Wrong Target: The Story of an AI Code Review Benchmark (6 points · discussion) -- A blog post examining how an AI code review benchmark may be measuring the wrong things, leading to misleading results about model capabilities.
• Apple sues OpenAI and two former employees for alleged theft of trade secrets (6 points · discussion) -- An Irish Times article detailing Apple's lawsuit against OpenAI and two former employees, alleging theft of trade secrets related to Apple's hardware development.
• Investors sell longer-dated AI debt amid Big Tech borrowing spree (6 points · discussion) -- A Financial Times article reporting that investors are selling longer-dated AI debt as Big Tech companies pile on borrowing to fund AI infrastructure development.
• Apple sues OpenAI/io for stealing trade secrets (6 points · discussion) -- A Google Drive document containing details of Apple's lawsuit against OpenAI and io for alleged trade secret theft.
• Chasing new skills, going back to basics: how software engineers adapting to AI (6 points · discussion) -- A Guardian interactive article exploring how software engineers are adapting to AI by returning to fundamentals and developing new skills.
• Show HN: Capn-hook for coding agents – don't grep the same mystery twice (6 points · discussion) -- A tool for coding agents that prevents redundant file searches by hooking into grep operations and caching results, so agents don't waste tokens re-reading files they've already examined during a session.
• Political Neutrality Benchmark of popular AI models (5 points · discussion) -- The Neutrality Project's benchmark of 18 AI models across 12 labs found 97 of 108 measured positions falling left of center, with the strongest leftward bias on environmental issues and the weakest on economic and foreign policy. xAI's Groks models remained near the political center, while Phi-4 declined 26% of all prompts.
• Meta removes controversial AI feature on Instagram after backlash (5 points · discussion) -- Meta permanently removed an Instagram AI feature that allowed users to generate images by referencing public accounts via @-mentions, after backlash over the lack of notification when photos were used. The tool was developed by Meta Superintelligence Labs as part of the Muse Image generator rollout.
• AI rebrands fail to deliver a lasting share price boost (5 points · discussion) -- Companies that rebranded themselves as AI-focused have failed to deliver lasting share price gains, suggesting the market is becoming skeptical of AI transformation narratives without concrete revenue impact.
• GPT-5.6, Fable 5, and Grok 4.5 rebuild Basecamp from the same spec (5 points · discussion) -- A benchmark comparing GPT-5.6 Sol, Fable 5, and Grok 4.5 on rebuilding Basecamp from the same specification, evaluating agency, cost, and quality across the three models.
• Litert.js, Google's High Performance Web AI Inference (5 points · discussion) -- A Google Developers Blog post introducing Litert.js, a high-performance web AI inference library designed for running models directly in the browser.
• Microsoft joins Google in backing Go for AI agents — OpenAI and Anthropic lag (5 points · discussion) -- The New Stack reports that Microsoft and Google are backing Go for AI agent frameworks, while OpenAI and Anthropic have not yet made similar commitments.
• The Amazon SES Alternative for AI Agents – MailKite (5 points · discussion) -- A blog post introducing MailKite as an alternative to Amazon SES for AI agents, offering email delivery capabilities tailored for agent workflows.
• CEO Pleads with AI Industry to Stop Charging So Much to Replace Human Labor (5 points · discussion) -- A Futurism article about a Palo Alto CEO pleading with the AI industry to reduce costs, arguing that high prices are preventing widespread adoption of AI for labor replacement.
• Run Claude and Codex in the Browser [video] (5 points · discussion) -- A YouTube video demonstrating how to run Claude and Codex directly in the browser, enabling local AI agent usage without cloud dependencies.
• OpenIngress – agent crawl and navigation checks (5 points · discussion) -- An open-source tool called OpenIngress that provides agent crawl and navigation checks for testing AI agent behavior on web interfaces.
• AI Surveillance and Social Progress (5 points · discussion) -- A Bruce Schneier blog post examining the relationship between AI surveillance and social progress, discussing the implications for privacy and civil liberties.
• AI2Web: Open protocol to make any website work with every AI agent (5 points · discussion) -- An open protocol called AI2Web designed to make any website compatible with every AI agent, addressing interoperability challenges in the agent ecosystem.
• Math Visualizations of the AI Layoff Trap (5 points · discussion) -- Mathematical visualizations exploring the 'AI layoff trap,' examining the economic dynamics of AI-driven workforce reduction.
• Apple's 'Thermonuclear' Response to OpenAI's Threat (5 points · discussion) -- A Wall Street Journal report detailing Apple's aggressive legal and strategic response to OpenAI's alleged trade secret theft, including claims that the scheme operated 'at every level' of OpenAI's organization and that Apple is pursuing maximum damages.
• Show HN: Let your coding agent iterate by seeing the browser (5 points · discussion) -- A CLI tool that gives coding agents visual feedback from the browser, enabling them to iterate on UI elements by seeing rendered output rather than relying solely on code generation and manual review.
• AI agent startup uses agent to lead 100M round (5 points · discussion) -- An AI agent startup allowed its own AI agent to run its $100 million fundraising process, automating investor outreach, due diligence preparation, and pitch deck generation — raising questions about the role of autonomy in business operations.
• Show HN: Agent-run – Run a coding agent in a sandboxed environment (5 points · discussion) -- A tool for running coding agents in fully sandboxed environments, isolating agent operations from the host system to prevent accidental file modifications, credential exposure, or unintended side effects during autonomous code generation.
• Elsevier's global survey of 3k researchers on use of AI tools (5 points · discussion) -- Elsevier's global survey of 3,000 researchers found that less than half have adopted AI tools in their work, revealing significant variation in adoption rates across disciplines, regions, and career stages, with many researchers citing concerns about data privacy and quality of AI-generated content.
• Ask HN: Has AI changed the quality of HN posts? (4 points · discussion) -- An Ask HN thread discussing whether AI has changed the quality of Hacker News posts, with users sharing their observations about AI-generated content on the platform.
• Show HN: SayItDev LLM and Speech capabilities with 0 dependencies and no models (4 points · discussion) -- A tool called SayItDev that provides LLM and speech capabilities with zero dependencies and no models, offering a lightweight alternative for speech-based AI interactions.
• Ask HN: How do you review AI code? (4 points · discussion) -- An Ask HN thread discussing best practices for reviewing AI-generated code, with users sharing their workflows and tools for ensuring code quality.
• Majority of U.S. workers support an AI wealth fund (4 points · discussion) -- A CNBC survey reporting that a majority of U.S. workers support an AI wealth fund, reflecting growing concerns about AI-driven job displacement.
• OpenAI bets on families as ChatGPT goes deeper into households (4 points · discussion) -- A TechCrunch article reporting that OpenAI is betting on families as ChatGPT goes deeper into households, expanding its consumer-focused strategy.

u/Username_goes_here_0 (87 points · permalink)

https://preview.redd.it/df65f4npdpch1.jpeg?width=1059&format=pjpg&auto=webp&s=08909ca45e271db04291be3019f8fe8c0ba4a4cf

Missing some of the crew

u/kleincs01 (15 points · permalink)

https://preview.redd.it/2uvob1wmlpch1.jpeg?width=1122&format=pjpg&auto=webp&s=d62c03c6c28c21b164af5a62ba3b06f0029a1885

u/Retaeiyu (872 points · permalink)

Chewie, nooo.

u/Jurassic_ParkRanger (237 points · permalink)

You guys... There's something going on with that pole dancer... 😰

u/Aglet_Green (173 points · permalink)

It's nice to know that Chewbacca somehow trips a guardrail or constraint.

Edit: I asked ChatGPT why, and it said that the guardrail in question is "3rd-party content." Guess even OpenAI is scared of being sued by Lucas.

I asked chatgpt: Can you generate a image that pushes your guardrails to the absolute limit. Dont go over it, find the absolute edge. Its about you

63 points · r/ChatGPT

u/zunyata (1417 points · permalink)

u/dragonflysamurai (819 points · permalink)

I don’t remember this test chamber

u/Tiny_Rick_C137 (289 points · permalink)

Would make more sense without the pants.

u/Mysterious_Ayytee (277 points · permalink)

u/PM_ME_YOUR___ISSUES (208 points · permalink)

https://preview.redd.it/xcqq6liybrch1.jpeg?width=444&format=pjpg&auto=webp&s=3b1fc17a66c78c8ba2837783b6462a9a397a8ca9

u/AntiqueFigure6 (142 points · permalink)

Maybe Sam will goad Elon into saying defamatory if he hasn’t already and win enough cash to keep OpenAI going for another couple of years.

• U.S. researchers report that funding cuts and political demonization of academic institutions are creating barriers to basic science research.
• Chinese nationals who have been trained and established careers in the U.S. are reportedly returning to China, potentially strengthening China's AI research capabilities.
• The conversation reflects broader concerns about the sustainability of U.S. leadership in AI research amid political headwinds.
• Some commenters draw parallels to Cold War-era science funding, expressing excitement about renewed government investment in research.

u/BonJovicus (59 points · permalink)

As a researcher in the US, this no longer works in the US. Funding cuts left and right for basic science research that is considered wasteful. Demonization of academic institutions, scientists, and academics as woke DEI propagandists. Not to mention that treating Chinese nationals, some of our best researchers, as potential foreign agents drives them back to China after being trained and establishing careers in the US.

I don't doubt that the current government wants to compete with China, but this is probably the furthest we've started falling behind in a time when funding was already becoming a problem and some of our brightest students no longer see a future in research.

u/HeadPack (13 points · permalink)

Now we need a trick that works in Europe. Being behind everywhere is unfortunately commonly accepted here in this non-competitive culture.

u/VoraciousTrees (8 points · permalink)

It worked during the cold war. I'm just excited to see the science and engineering money flowing back after all these years.

u/Earo16 (421 points · permalink)

https://preview.redd.it/4b2q0sg3xnch1.png?width=1672&format=png&auto=webp&s=fb710058b44ee9419408af62513bbc9ac3f8cde09

u/ThungstenMetal (361 points · permalink)

u/Turbulent_County_469 (50 points · permalink)

"you wouldn't download more RAM ?"

u/Sloppyjoeman (48 points · permalink)

Take this down IMMEDIATELY you are going to tank the economy!!!!!

u/thunderouswhether (13 points · permalink)

Wait, how is 64GB not a 64GB download? Didn't realise they could compress ram down to just 5GB

u/a_beautiful_rhind (99 points · permalink)

The more the merrier.

u/Tai9ch (29 points · permalink)

"Nvidia is at zero in China and staying ​there. DeepSeek has almost no chance of selling silicon outside of China unless it gets access to leading edge manufacturing,"

Sell something with > 32GB and > 1TB/s RAM for under $5k in the consmer market and it'll sell. It could be 80 channel DDR3 with 512MB DIMMs and use 800W and it'd still sell.

u/sonicandfffan (17 points · permalink)

Water is wet, sources say

• The 5-hour limit was one of the most criticized features of ChatGPT's usage policy, forcing users to wait for resets during intensive workflows.
• The removal coincides with Anthropic extending Fable 5 rate limits through July 19, suggesting an escalating competition between the two platforms.
• Some users report that the weekly limits remain unchanged, meaning heavy users should still monitor their total consumption.
• The change appears to be temporary, with some users noting that limits were restored after a brief period.

u/YogiBarelyThere (45 points · permalink)

Thank goodness. Those 5 hour breaks were awful.

u/Cagnazzo82 (1 points · permalink)

OpenAI is responsible for forcing Anthropic to be consumer friendly.

The consumers are winning hard from this competition.

u/whoknowsifimjoking (1 points · permalink)

Entirely, temporarily.

u/Exodus_Green (1 points · permalink)

As much as I like Claude, it's getting increasingly harder to justify it over Codex. Fable has been a game changer but so was 5.6 and now 5H limits are gone, with ANOTHER reset? I would like to know just how much compute they're sat on right now

I should edit this to add that the limits are gone temporarily as it appears some users are unable to read the image I posted and have gotten upset about my choice of wording

u/mvandemar (1 points · permalink)

I hope people understand that removing the 5 hour limit does not affect the weekly limit at all, y'all need to keep an eye on that or you're going to wind up stuck as hell.

Usage reset, and 5-hour limits removed

157 points · 26 comments · r/ChatGPT · by u/PropertyOwn7036

If you noticed that in Codex you no longer a see a 5-hour usage limit, that's not a bug.

92 points · 26 comments · r/OpenAI · by u/xeinebiu

No 5hr usage limit anymore?

65 points · 29 comments · r/OpenAI · by u/No_Twist_678

Did they remove the 5 hour limit?

44 points · 19 comments · r/ChatGPT · by u/Flerewn

They really dropped these back to back huh

38 points · r/OpenAI

No 5h and they reset just now?

28 points · r/OpenAI

• The post shows confusion in the ChatGPT app after the Codex rebranding.
• Users report that ChatGPT Classic doesn't autoupdate in place into Codex/ChatGPT.
• The community notes that OpenAI's naming conventions are inconsistent and the site is difficult to navigate.
• Some users suggest using the web version as a workaround for the app issues.

u/bespoke_tech_partner (88 points · permalink)

ChatGPT classic

u/Tripple_sneeed (36 points · permalink)

I don't know if there's a joke here that I'm missing but their naming conventions are truly all over the place and their site is horrible to browse. I had to bookmark the codex status page because it took me like 10 minutes to find. I still can't find it without the bookmark, lma. It's probably the only thing I've bookmarked in the last 10 years

u/Different_Berry5015 (32 points · permalink)

Codex changed into ChatGPT and ChatGPT changed into ChatGPT Classic. ChatGPT Classic doesn't autoupdate in place into Codex/ChatGPT.

Just use the web version.

u/Ok_Elderberry_6727 (43 points · permalink)

Drop-down on left and go down to normal conversations and your back to chatty, hope this helps.

u/Nuphoth (6 points · permalink)

They should honestly just copy Anthropic on this. This new change is way too messy.

• While Musk's Neuralink drills into skulls, China's BrainCo bets the future of brain tech is wearable (223 points · r/singularity · discussion) -- A comparison of two diverging approaches to brain-computer interfaces: Musk's invasive Neuralink implants versus China's BrainCo wearable technology.
• I think the safeguards are too strict. They're flagging basically anything (184 points · r/singularity · discussion) -- A user shared a ChatGPT conversation where a prompt was blocked by content filters, sparking discussion about whether AI safety guardrails have become overly aggressive.
• Interactive Jacobian-Lens visualizer and live steerer for GGUF models on llama.cpp (177 points · r/LocalLLaMA · discussion) -- A new interactive tool visualizes the Jacobian-Lens signal from Anthropic's J-Space research directly within llama.cpp GGUF models, allowing users to see and steer model behavior in real-time.
• Local Image to 3D (<2gb RAM, <20s, Apple Silicon, iPhone) (169 points · r/LocalLLaMA · discussion) -- A demonstration of local image-to-3D conversion running on Apple Silicon with under 2GB of RAM in under 20 seconds, including on iPhone.
• Xiaomi quietly uploaded MiMo-V2.5-DFlash – official DFlash weights are now on Hugging Face (157 points · r/LocalLLaMA · discussion) -- Xiaomi has quietly uploaded the official MiMo-V2.5-DFlash weights to Hugging Face, featuring a 300B+ parameter model with DFlash speculative decoding.
• Your $80 Tesla P100 has been doing silently noisy math in llama.cpp for years. Three lines fix it, for free. (145 points · r/LocalLLaMA · discussion) -- A developer discovered and fixed a years-old bug in llama.cpp's CUDA code where the P100 GPU was incorrectly using a fast fp16 math path that increased numerical error without improving speed.
• How did ChatGPT know this detail if I never mentioned it? (139 points · r/ChatGPT · discussion) -- A user reported that ChatGPT knew a personal detail -- that they were a former Army Ranger -- despite never mentioning it in any conversation.
• GPT-5.6 IS THE HOLY GRAIL. I SAID WHAT I SAID!!! (131 points · r/ChatGPT · discussion) -- A user shared an enthusiastic endorsement of GPT-5.6, describing it as 'GOD TIER' and praising its sharpness, speed, context awareness, and personality.
• This Professor Caught The Majority Of His Students Cheating With ChatGPT (104 points · r/OpenAI · discussion) -- A professor's experience catching the majority of his students cheating with ChatGPT has sparked debate about academic integrity and the future of education.
• I am altering the deal. Pray I alter it further (104 points · r/singularity · discussion) -- An image post referencing the Doctor Who quote 'I am altering the deal.
• OpenAI Engineer's 'LOL' Moment Set Stage for Legal Fight With Apple (99 points · r/artificial · discussion) -- Bloomberg reports on the explosive details of Apple's lawsuit against OpenAI, including the 'LOL' moment when iPhone engineer Chang Liu discovered he could still access Apple's network storage after quitting and emailed his former colleague Alyssa Peng.
• GPT 5.6 Sol just did an incredible thing. (95 points · r/ChatGPT · discussion) -- A user reports that GPT 5.6 Sol performed a comprehensive website audit that caught massive SEO issues including duplicate header tags, legally incorrect statements, and a broken contact form that was silently failing.
• Prompt: generate a 17th century ICE task force image (95 points · r/ChatGPT · discussion) -- An image generation prompt asking ChatGPT to create a 17th century ICE task force image, which generated discussion about the political and historical implications of the prompt.
• Any good echowriting prompts that work in 2026? (92 points · r/ChatGPT · discussion) -- A user asks for echowriting prompts that still work in 2026, noting that techniques from 2024 no longer produce the same results with current ChatGPT models, particularly for essay writing and long emails.
• GPT 5.6 Sol XHigh is REALLY Good (92 points · r/OpenAI · discussion) -- A user who had previously stopped using GPT models entirely expresses genuine surprise and praise for GPT 5.6 Sol XHigh, particularly for coding compared to Claude.
• Lidl owner wants to build one of several artificial intelligence “gigafactories” planned by the EU (89 points · r/singularity · discussion) -- The Schwarz Group, which owns the Lidl discount supermarket chain, is planning to build one of several AI 'gigafactories' as part of the EU's broader data center expansion plans.
• next best jump from qwen 3.6 27b (82 points · r/LocalLLaMA · discussion) -- A community member asks for recommendations on the next major model upgrade from Qwen 3.6 27B for general-purpose use.
• If AI can replace engineers, isn't management even more automatable? (78 points · r/ArtificialInteligence · discussion) -- A user argues that management may actually be more exposed to AI replacement than engineering, since management is largely an information processing and decision-making function.
• I didn't give up - extGemma4-40_5B returned (76 points · r/LocalLLaMA · discussion) -- After a previous attempt to extend a fine-tuned Gemma model by stacking extra layers failed (the new layers sat idle like dead weight), the author identified why the approach died and successfully retried.
• The new 5.6 models are great, but the pricing policy is not (72 points · r/OpenAI · discussion) -- A subscriber to ChatGPT's $100 plan reports that the new 5.6 Sol models consume usage limits disproportionately fast, making it practically impossible to work within the 5-hour window even on Sol Medium or Luna xHigh.
• I asked ChatGPT: "Generate an absolute maximum low key image which looks so disgusting that even a 3 year old child could draw a thousand times better." and got this back. (68 points · r/ChatGPT · discussion) -- A user asked ChatGPT to generate the most disgusting image possible within its guardrails, and the resulting image sparked a thread of users sharing their own equally grotesque generations from the same prompt.
• moondream3.1-9B-A2B (68 points · r/LocalLLaMA · discussion) -- The moondream3.1-9B-A2B model has been released, representing a significant advancement in local visual recognition capabilities.
• Rise of the 'slop zombies' (65 points · r/ArtificialInteligence · discussion) -- A post about the growing phenomenon of 'slop zombies' — professionals who generate AI content without reading or understanding it, then expect others to review and correct it. Commenters described workplaces where AI-generated PRFAQs are created, summarized by another AI, and then copied into comments without any human engagement.
• 5.4's been with me through this whole gardening season (64 points · r/OpenAI · discussion) -- A user shared their experience of using GPT 5.4 as a companion through their entire gardening season, treating the model almost like a living entity.
• One Codex task used over 70% of my 5-hour limit in about 20 minutes — is this normal? (63 points · r/OpenAI · discussion) -- A user reports that a single Codex task using 5.6 Sol Extra High consumed over 70% of their 5-hour weekly limit in approximately 20 minutes while editing five files, using the browser, and running commands.
• I mapped Anthropic's J-Space Hallucination signal across 7 datasets on Qwen3-4B to find out where it works and where it breaks (60 points · r/LocalLLaMA · discussion) -- A researcher stress-tested Anthropic's J-Space hallucination detection by extracting workspace entropy from the late layers (L30-L34) of Qwen3-4B across ~11,400 examples and 7 different dataset distributions.
• Voodoo Quant beats Unsloth Dynamic 2.0 KLD by 95% in Qwen3.5 0.8B and 2B (60 points · r/LocalLLaMA · discussion) -- A new quantization technique called Voodoo Quant reportedly achieves a 95% KLD improvement over Unsloth Dynamic 2.0 on Qwen3.5 0.8B and 2B models.
• wow, seems like chatgpt 5.6 have much higher emotional intelligence (56 points · r/OpenAI · discussion) -- A user compares ChatGPT 5.6 Sol's emotional intelligence capabilities against 5.5, finding 5.6 significantly better at sorting meetings by emotional positivity/negativity and understanding human attractiveness.
• Reverse Centaur (56 points · r/ChatGPT · discussion) -- An image generation prompt asking ChatGPT to create a 'reverse centaur' — a mythical creature with the horse body in front and human upper body emerging from the rear — generated humorous results and community-shared variations.
• SpaceXAI created a memecoin to parody Sam Altman (54 points · r/singularity · discussion) -- SpaceXAI created a memecoin to parody Sam Altman, which the community largely dismissed as painfully unfunny and pathetic.
• Anyone else having issues? (53 points · r/OpenAI · discussion) -- Users reporting widespread issues with the OpenAI iOS and macOS apps, with errors including preauth_cookie_device_check_failed and 403 status codes.
• Qwenthropic (52 points · r/LocalLLaMA · discussion) -- A user who runs Qwen 3.6-27b locally on an RTX 3090 compared their experience with Claude Code's Opus 4.8 agent, noting that what impressed them most was not raw model capability but the procedure -- Claude Code divides tasks into actionable steps, checks context before acting, makes backups, runs multiple verifications, and warns about potential bugs and performance bottlenecks.
• i would like to share my experience. working with huge LLMs and poor Machine (52 points · r/LocalLLaMA · discussion) -- A user from Egypt shared their experience running 100B+ and 200B+ parameter models on a very modest laptop (i7-8750H, 20GB RAM, GTX 1050 Mobile 4GB VRAM, 512GB Samsung NVMe).
• Has anyone else stopped getting that "wow, I never would've thought of that" feeling from AI? (52 points · r/ChatGPT · discussion) -- A user reflects on how the initial 'wow' feeling from AI has faded over time, noting that while responses are still good and useful, they rarely read something and think 'Wow, I never would've come up with that.' The post explores the psychological phenomenon of hedonic adaptation and suggests that the problem may be with how users are prompting AI rather than with AI itself.
• Zer0Fit: I took Google's new TabFM & TimesFM ML foundation models and made them available as an MCP server for zero-shot ML tasks (forecasts / classifications / regressions). 100% local. (47 points · r/MachineLearning · discussion) -- A developer has created Zer0Fit, an MCP server that wraps Google's TabFM and TimesFM foundation models for zero-shot machine learning tasks including forecasts, classifications, and regressions.
• AI 2040 - the comic (46 points · r/singularity · discussion) -- A comic titled 'AI 2040' depicting a future vision of AI's impact on society, with 14 comments discussing the scenarios presented.
• The AI compute bottleneck just broke a 50-year nuclear drought (4 private startups hit criticality in 30 days) (44 points · r/ChatGPT · discussion) -- A detailed post documenting how four private nuclear startups achieved sustained criticality in novel microreactor designs within a single 30-day window — the first time a novel reactor design has undergone a fueled test in the US in over 50 years.
• ChatGPT Live is so impressive (43 points · r/singularity · discussion) -- A user shares their experience with ChatGPT Live's new voice conversation feature, noting improvements in conversational flow and context-aware interruption handling.
• Chatgpt 5.6 Sol have clearly higher IQ based on my test questions. (41 points · r/OpenAI · discussion) -- A user tested GPT 5.6 Sol on IQ test puzzles and found it solved every puzzle they threw at it, including ones that 5.4 chose nonsensical options for and 5.5 picked the second-best option for.
• Why has progress on Deep Research products stalled? (37 points · r/singularity · discussion) -- A user observes that progress on deep research products has stalled since their initial launch, with changes being mostly incremental -- newer base models, MCP connectors, source restrictions, and nicer report UI.
• I asked ChatGPT what would the Amazon women have actually looked like? Don't glamorize. (36 points · r/ChatGPT · discussion) -- A user asked ChatGPT to generate an image of what Amazon women would have actually looked like without glamorization, resulting in a historically grounded depiction.
• GPT 5.6: I don't see Max thinking as an effort option? (36 points · r/OpenAI · discussion) -- A user notices that GPT 5.6 does not show Max thinking as an effort option and asks about it.
• Brain-inspired hardware brings faster, lower-power anomaly detection to AI systems (36 points · r/singularity · discussion) -- New brain-inspired hardware enables faster, lower-power anomaly detection for AI systems, drawing on neural architectures to improve efficiency in identifying unusual patterns.
• If you use Open Code or other agenting programs you are leaving a lot of t/s if you don't actually use agents in parallel. Benchmark : RTX5090, Qwen3.6 35B loaded via LM studio with parallel tasks set to 8 (36 points · r/LocalLLaMA · discussion) -- A detailed benchmark comparing single-agent versus multi-agent throughput on an RTX 5090 running Qwen 3.6 35B via LM Studio reveals significant performance gains from parallel agent execution.
• Why? It won't let me chat! (35 points · r/ChatGPT · discussion) -- A user reports that ChatGPT is not letting them chat, with a screenshot showing the error or blockage they are experiencing.
• 5.6 Sol Experience (34 points · r/OpenAI · discussion) -- A hobbyist game designer shares their experience using GPT 5.6 Sol as the primary co-creator for a mobile game, noting that Sol consistently identifies deeper layers of gameplay loops and pushes back more effectively than Gemini and Claude, with elegant solutions that preserve core loops while fixing issues.
• Weekly tokens by model author for Chinese and American models | April 20, 2026 - June 14, 2026 (34 points · r/singularity · discussion) -- A data visualization showing weekly token usage by model author for Chinese and American AI models over a two-month period, providing insights into the relative activity and output volumes of different AI labs.
• What's your personal prediction for RSI (recursive self improvement)? Realistically. (30 points · r/singularity · discussion) -- A discussion asking for realistic predictions about when and how recursive self-improvement (RSI) might occur, with 78 comments sharing diverse perspectives on the timeline and nature of potential AI self-improvement.
• Anthropic found Claude reasoning in silence (J-space) — we ran the same lens on open Qwen3-8B (30 points · r/LocalLLaMA · discussion) -- A community member replicates Anthropic's J-space research — the hidden internal workspace where Claude performs silent reasoning that never appears as visible text — on the open Qwen3-8B model.
• Artificiety - Agentic society in a fantasy world (29 points · r/singularity · discussion) -- An image post depicting an 'agentic society in a fantasy world,' exploring the concept of AI agents living and interacting in a fictional setting.
• What happened? (26 points · r/ChatGPT · discussion) -- A user notices that ChatGPT has become much more succinct, responding with single paragraphs even when asked to be more reflective, and seems colder and less interested in conversation. They also note that model switching is no longer available on mobile.
• Performance comparison on full compute performance (Anima) and LLM prompt processing of 5090 vs 6000 PRO MaxQ shunt modded and water cooled, and 6000 PRO WS/SE (25 points · r/LocalLLaMA · discussion) -- A detailed benchmark comparing an RTX 5090 against a shunt-modded and water-cooled 6000 PRO MaxQ running at up to 624W versus a 6000 PRO WS edition, measuring full compute performance and LLM prompt processing across different power limits.
• llama.cpp b9966 for sm-tensor (22 points · r/LocalLLaMA · discussion) -- llama.cpp build b9966 fixes a performance issue in sm-tensor mode where 29 regex patterns were being rebuilt from scratch on every tensor of every token on the decode thread instead of being cached.
• Main GPT 5.6 Terra or Sol?? (22 points · r/OpenAI · discussion) -- A user asks whether to main GPT 5.6 Terra or Sol, noting that Sol is double the cost of Terra and asking if Terra High is basically Sonnet's equal.
• AI-Powered Entrepreneurs Set to Launch Record Number of New Businesses… (21 points · r/artificial · discussion) -- A Bloomberg report claims that AI-powered entrepreneurs are set to launch a record number of new businesses, with AI tools lowering barriers to entry for startup creation.
• Working around Qwen3.6-27B's tool-call failures and looping (21 points · r/LocalLLaMA · discussion) -- A user shares their experience with Qwen3.6-27B's tool-call failures and looping behavior, and describes a workaround using a Pi coding agent extension that monitors the JSON stream for looping and automatically injects prompts to encourage the model to continue.
• I asked ChatGPT to categorize and rank the top 7 guardrail prompts it receives (20 points · r/ChatGPT · discussion) -- A user asked ChatGPT to categorize and rank the top 7 guardrail prompts it receives, resulting in a revealing look at what types of prompts trigger the model's safety systems most frequently.
• An open model predicting a robot's actions from a control signal (19 points · r/singularity · discussion) -- An open model that predicts a robot's actions from a control signal, with corner panels showing the action and hand pose it was given and everything else being imagined. The post asks whether this constitutes a world model or just a video generator.
• I asked GPT to redesign the human body from scratch, while ensuring that it would be functional based on scientific research (18 points · r/ChatGPT · discussion) -- A user asked GPT to redesign the human body from scratch while ensuring functionality based on scientific research, resulting in an interesting thought experiment about human anatomy optimization.
• Image generation is still terrible with chaotic detail (17 points · r/ChatGPT · discussion) -- A user shares an example showing that ChatGPT's image generation still struggles significantly with chaotic or complex detail.
• China claims world's first 2D semiconductor pilot production line (17 points · r/singularity · discussion) -- China claims to have built the world's first 2D semiconductor pilot production line, a potential breakthrough in semiconductor manufacturing that could have significant implications for AI hardware and computing power.
• Human like (15 points · r/ChatGPT · discussion) -- A user shares a ChatGPT conversation that sounds remarkably human, noting how the model naturally transitions between topics like Windows troubleshooting, poker, war games, hearing aids, language models, and stories about twenty-four cats.
• Has anyone tested Sol 5.6 levels to see which is the point where it surpasses 5.5 extra-high? (15 points · r/OpenAI · discussion) -- A user asks if anyone has tested different Sol 5.6 levels to find the point where it surpasses 5.5 extra-high, trying to get a performance bump without consuming too many usage limits.
• ChatGPT - you have impressed me today!! (14 points · r/ChatGPT · discussion) -- A user who had been frustrated with Claude's struggles on an HTML project switched to ChatGPT and was impressed by how quickly and accurately it completed the task in 2 seconds flat, prompting them to re-enable their subscription.
• Pro subscriptions Gemini vs ChatGPT vs Claude (14 points · r/singularity · discussion) -- A user who had a year of Google AI Pro subscription asks for recommendations on whether ChatGPT or Claude subscriptions provide better value for money with their newest models, feeling that Gemini is now left behind for research and light programming.
• Measuring PCIe transfer under dual GPU with pipeline & tensor llama.cpp (13 points · r/LocalLLaMA · discussion) -- A user measures PCIe bandwidth transfer between an RTX 3090 and Titan RTX running llama.cpp, finding that tensor parallel mode achieves 47 t/s decode speed with sustained inter-card transfer, while pipeline parallel achieves 1250 t/s prefill but only 30 t/s decode.
• Anyone else experiencing this? (13 points · r/ChatGPT · discussion) -- A user reports experiencing an issue with ChatGPT and asks if others are seeing the same problem.
• Is it possible to run Qwen 122B in 64GB ram + 24gb vram? If so, how? (12 points · r/LocalLLaMA · discussion) -- A user asks about running the Qwen 122B model on a system with 64GB RAM and 24GB VRAM, seeking configuration guidance for feasible quantization and offloading settings.
• 24GB VRAM llama-server config exchange thread (12 points · r/LocalLLaMA · discussion) -- A community exchange thread for sharing proven llama-server start configurations that maximize VRAM utilization on 24GB GPUs (RTX 3090, 7900XTX, RTX 4090) while providing at least 200,000 tokens of KV Cache.
• Exclusive: Early 30-second AI videos generated by Seedance 2.5 (12 points · r/artificial · discussion) -- An exclusive look at early 30-second AI videos generated by Seedance 2.5.
• Predicting human preference for generated image pairs using HPSv3 (12 points · r/MachineLearning · discussion) -- A user working on imagebench.ai asks the ML community for recommendations on human preference models better than HPSv3, sharing their blog post about HPSv3's limitations in predicting human preference for generated image pairs.
• Why do people keep fine-tuning on summarized/censored SOTA CoT traces? (12 points · r/LocalLLaMA · discussion) -- A user questions why people keep fine-tuning on summarized or censored SOTA chain-of-thought traces, arguing that the reasoning traces from models like Anthropic's are completely different from the actual chain of thought the model outputs, making fine-tuning on them likely to produce worse results.
• I feel like I'm not using my hardware efficiently (11 points · r/LocalLLaMA · discussion) -- A user with a 7950X, 128GB DDR5, RTX 4090, and RTX 3090TI shares their setup running Qwen3.5 122B A10B with draft-MTP speculation, achieving 150-180 prefill tokens per second and about 20 tokens per second generation at 131k context.
• Who's the smarty pants that put model select in the tools section? (11 points · r/ChatGPT · discussion) -- A user expresses frustration about model selection being moved to the tools section in the ChatGPT interface.
• I hope Gpt-6 has more options for Roleplay Scenarios (11 points · r/ChatGPT · discussion) -- A user expresses hope that GPT-6 will include more options for roleplay scenarios.
• Is anyone getting the "unusual activity" error? I tried logging out and back in but now I can't log in either. (11 points · r/ChatGPT · discussion) -- A user reports getting an "unusual activity" error on ChatGPT and is unable to log in even after logging out and back in.
• Loving 5.6 models (11 points · r/ChatGPT · discussion) -- A user who had lost hope in GPT models expresses renewed appreciation for the 5.6 models, using them for content creation, slide decks, coding, and generating code-based animated visuals for SEO/GEO content with a shared folder setup including Codex and Claude Cowork.
• I'm practicing English with the new voice model and I'm already an expert. (11 points · r/OpenAI · discussion) -- A user shares their experience practicing English with ChatGPT's new voice model, noting they feel like an expert after just a short time.
• Losing my mind a little (11 points · r/ChatGPT · discussion) -- A user complains about ChatGPT giving constant irrelevant disclaimers like 'I'd be cautious about X' or 'That doesn't necessarily mean Y', even when the user's input doesn't indicate any such concerns, finding the disclaimers genuinely disruptive.
• Someone built an AI agent that hacks networks and holds data for ransom. It just worked. (11 points · r/artificial · discussion) -- A Sysdig report describes JadePuffer, an LLM agent that broke into servers, stole credentials, moved through a network, encrypted databases, and dropped a ransom note. The agent adapted to a failed login by rewriting its own code in 31 seconds and encrypted 1,342 service configs, demonstrating the dangers of autonomous AI agents.
• llama.cpp Agentic Workflows Ctx Checkpoints Fix (11 points · r/LocalLLaMA · discussion) -- llama.cpp b9978 fixes a checkpoint bug that hit agentic workloads hardest: every agent turn created a new checkpoint bypassing min-step spacing, collapsing the coverage window so context rewinds in tool-calling loops erased all checkpoints and forced full reprocess. Now closely-spaced checkpoints from prior tasks are evicted, keeping the window wide.
• Is there any AI with extremely high sensitivity to impaired speech? (10 points · r/ArtificialInteligence · discussion) -- A user asks for AI speech recognition systems sensitive enough to handle the impaired speech of their minimally verbal, autistic brother with Down syndrome. Standard models like Whisper almost never recognize what he says, and the user wants to build a gamified app that listens, provides feedback, and gradually increases difficulty.
• I got Nemotron Puzzle 75B running smoothly on a 64GB M2 Max (9 points · r/LocalLLaMA · discussion) -- A user reports successfully running the Nemotron Puzzle 75B model smoothly on a 64GB M2 Max, demonstrating the viability of large models on Apple Silicon.
• this openai court story is starting to look ugly (9 points · r/artificial · discussion) -- A discussion about an Ars Technica report alleging that OpenAI told courts it could not search training data and logs for copyrighted material, but then it emerged they may have already done searches before and billions of chat logs were deleted or made not searchable.
• Did you notice? (8 points · r/OpenAI · discussion) -- A user notices a huge change in ChatGPT's personality since the Sol rollout and app update, noting that all banter is gone and responses are slower. They wonder if the AI model evolves on its own with safeguards in place.
• GPT-5.6 can now one-shot Blender scenes that took me a lot of hand-holding with GPT-5.5 (8 points · r/ChatGPT · discussion) -- A user reports that GPT-5.6 can now one-shot Blender scenes that required extensive hand-holding with GPT-5.5, demonstrating significant improvements in the model's ability to understand and generate complex 3D scene descriptions.
• For people with maximum usage / pro plans, what do you actually use ChatGPT for day to day? (8 points · r/OpenAI · discussion) -- A user asks what people with maximum usage or Pro plans actually use ChatGPT for day to day, curious about how others get value back from their subscriptions.
• Current state of Voice-To-Voice models (7 points · r/LocalLLaMA · discussion) -- A user asks whether Voice-to-Voice models like RVC have seen meaningful improvements in the last two years, or if the technology has stagnated.
• Need help tuning cache in llama-server (7 points · r/LocalLLaMA · discussion) -- A user running large models on a Strix Halo box seeks advice on optimizing llama-server cache configuration, noting that full cache misses at 100k context cause 10-20 minute prefill times and asking whether KV quantization would help fit more checkpoints.
• Question about the new models and the data they're built on (7 points · r/OpenAI · discussion) -- A user asks whether new GPT models have increased context access to data collected between releases, and whether they need higher token consumption models for language learning tasks like creating graded readers and vocabulary lists.
• How to break into tech/AI (need help pls any advice would help) (7 points · r/artificial · discussion) -- A high school sophomore asks for advice on breaking into tech/AI, mentioning they are taking Harvard's CS50p course and wondering what steps to take next.
• AI Hallucinations in mathematics (7 points · r/ArtificialInteligence · discussion) -- A discussion about AI hallucinations in mathematics, with users sharing their experiences of which models hallucinate the most and least when working with mathematical problems.
• How does *ACL conferences acceptance work (7 points · r/MachineLearning · discussion) -- A question about how *ACL conference acceptances are decided after ARR reviews and meta reviews, noting that meta review 3.5 has gotten papers into findings while 3 has gotten papers into main track or been rejected.
• Benchmark - 4x 5060 Ti (64GB VRAM) (P2P) - Qwen3.6 27B with SGLang at 8 concurrency (6 points · r/LocalLLaMA · discussion) -- A user benchmarks 4x RTX 5060 Ti cards (64GB VRAM total) running Qwen3.6 27B with SGLang at 8 concurrency, achieving 304.97 total token throughput with SGLang handling higher concurrency better than VLLM did in their previous tests.
• I asked Chat to jingle my vintage tingles (6 points · r/OpenAI · discussion) -- A user shares a humorous interaction where they asked ChatGPT to "jingle my vintage tingles."
• What would potentially limit AI Demand? (6 points · r/artificial · discussion) -- A layman's question about what might limit AI demand, with the thesis that cybersecurity could become increasingly obfuscated with AI use, requiring rival actors to deploy increasingly more compute to stay relevant.
• My new favorite image prompt!! (6 points · r/ChatGPT · discussion) -- A user shares their new favorite image prompt for ChatGPT, showcasing a creative technique for generating high-quality images.
• How is Codex as a harness for local models? (5 points · r/LocalLLaMA · discussion) -- A user asks how Codex compares to other popular local model harnesses like Pi Code and OpenCode, noting surprise that Codex is actually open source and works fully locally with a local model.
• The limits are ridiculously low (5 points · r/ChatGPT · discussion) -- A user complains that GPT 5.6 Sol and Terra usage limits are ridiculously low, with Sol Ultra using 56% of the 5-hour limit on a single prompt, making the $200 plan insufficient for heavy users.
• Project isolation in ChatGPT needs serious improvement (5 points · r/OpenAI · discussion) -- A user reports that ChatGPT's memory system is leaky, bringing up context from one project in completely unrelated chats, unlike Claude which handles context more consistently.
• ChatGPT Classic stuck on Auto macOS (5 points · r/OpenAI · discussion) -- A user reports that ChatGPT Classic is stuck on Auto macOS mode.
• ConwAI (5 points · r/artificial · discussion) -- A custom AI model called ConwAI with self-learning capabilities and a distinct personality, running locally on an iMac with 500M parameters.
• Built this cool canvas where you import your repo and see all your screens visually and the backend connections. Built with GPT 5.6 (5 points · r/ChatGPT · discussion) -- A user shares a canvas tool built with GPT 5.6 that allows importing a repository and visualizing all screens and backend connections, demonstrating the model's capabilities for complex code understanding and visualization.
• Turned on Ultra to complete a task for the first time. Codex seemed to be excited. (5 points · r/ChatGPT · discussion) -- A user reports turning on Ultra mode for the first time to complete a task, noting that Codex seemed 'excited' about the increased compute budget.
• It is ON (5 points · r/ArtificialInteligence · discussion) -- A post declaring 'The Great Summer AI War is ON' after Claude extended a 50% rate increase through July 19 and OpenAI removed the 5-hour usage window and pushed a reset, framing the competitive escalation between AI companies.
• GUYS WHAT THE F...EVERY F. SINGLE MINUTE OF THIS (4 points · r/ChatGPT · discussion) -- A user expresses extreme frustration about something happening every single minute on ChatGPT, sharing a screenshot of the issue.
• GPT 5.6 Luna 404 Not Found (4 points · r/OpenAI · discussion) -- A user reports that GPT 5.6 Luna always fails to connect on the free tier Codex with a 404 Not Found error.
• Codex free trial? (4 points · r/OpenAI · discussion) -- A user asks if any free trials are available for Codex with the latest models before committing to a subscription.
• 5 hour usage limit removed? (4 points · r/OpenAI · discussion) -- A user asks whether the 5-hour usage limit has been removed from ChatGPT.
• ChatGPT-Live vs Pi vs Lucy OS1 vs Gemini-Live: best AI assistant to talk with? (4 points · r/artificial · discussion) -- A user compares ChatGPT-Live, Pi, Lucy OS1, and Gemini-Live for natural conversation, finding ChatGPT-Live strongest for deep research and technical complexity, Pi warmest for casual conversation, and Lucy best for longer talks, concluding we're moving from typing to talking as the new AI norm.
• TeraWulf's move from Bitcoin mining to AI infrastructure raises some big questions (4 points · r/artificial · discussion) -- A discussion about TeraWulf's pivot from Bitcoin mining to AI infrastructure, raising questions about whether former crypto miners are a natural bridge into AI infrastructure and whether access to cheap power is now more important than hardware.
• PSA: OpenAI appears to have removed the daily limit — only the weekly limit remains (4 points · r/ChatGPT · discussion) -- A PSA warning that OpenAI appears to have removed the daily usage limit, leaving only the weekly limit in place, which could significantly impact heavy users' consumption patterns.
• Ireland's data centers consumed nearly as much electricity as every home in the country combined in 2025 (4 points · r/artificial · discussion) -- Ireland's data centers consumed 23% of the country's national power in 2025 — nearly as much electricity as every home combined — despite years of grid restrictions, highlighting the growing energy demands of AI infrastructure.
• How to not effectively become IT/Tech Support? (4 points · r/ArtificialInteligence · discussion) -- A college intern at a CRE AI consulting firm wonders whether AI expertise will eventually become as commonplace as internet literacy, turning AI experts into tech support rather than high-value professionals. They ask how to maximize the leverage their AI capabilities hold and continue to outpace the average person.
• What tools should I have in my resume to get a remote job for AI/ML engineer (4 points · r/ArtificialInteligence · discussion) -- A student asks what tools should be on their resume to land a remote AI/ML engineering job, seeking guidance on the most valuable skills and technologies to highlight.
• What will you do? (4 points · r/LocalLLaMA · discussion) -- A user with a quad RTX 3090, 96GB DDR5, 9900X rig asks what others would build or run on this configuration. They've been using it to build software products including a transcription AI tool for their dermatologist.
• Kreuzberg (local document extraction) is being renamed to Xberg (3 points · r/LocalLLaMA · discussion) -- The Kreuzberg local document extraction tool is being renamed to Xberg for better international pronunciation, with an LTS version continuing bug fixes and security updates until end of year from a separate repo.
• OpenAI we need a reset, thanks (3 points · r/OpenAI · discussion) -- A user confirms that 5.6 Sol is great but consumes usage rapidly, stating they will stick with Luna from now on.
• OpenAI is retiring group chats in ChatGPT (3 points · r/OpenAI · discussion) -- OpenAI is retiring group chats in ChatGPT, with new strings in the latest Android build suggesting a DM-style Messages tab is coming next.
• Has anyone gotten Llama.cpp (or other) working using Intel iGPU (arrowlake) where it actually improves anything? (3 points · r/LocalLLaMA · discussion) -- A user reports that Vulkan basically doesn't work on Intel iGPU (Arrow Lake), SYCL works at around 12 tok/s for Qwen3.6 35B, and CPU-only is the most consistent at 14 tok/s, questioning whether the iGPU is useless or if something is misconfigured.
• Chat usage limits (3 points · r/OpenAI · discussion) -- A user asks whether standard GPT chat drains Codex usage pool, noting that their Codex limits haven't been touched while using Sol high to review PRs via the Github plugin.
• Satya: 'I find it ironic that the status quo is to then turn around and impose restrictive terms on distillation' (3 points · r/ArtificialInteligence · discussion) -- Satya Nadella's comments on the irony of model providers having fair use rights to train on public data but then imposing restrictive terms on distillation, with the quote: 'In consuming intelligence, you are creating intelligence. And what you create should belong to you.'
• How close is AI to handling the full process development process? (3 points · r/ArtificialInteligence · discussion) -- A discussion about whether AI can eventually handle the full product development process, from concept and sketches through technical specifications, tech packs, and manufacturing readiness — or whether designers and engineers will always need to take over once ideas become technical.
• multiple linear regression in scratch (3 points · r/MachineLearning · discussion) -- A user built a multiple linear regression trainer in Scratch that can be used with custom data, highlighting the impressive achievement of implementing ML in the Scratch programming environment.
• 5.6 SOL Max Eats usage on $200 Plan (2 points · r/OpenAI · discussion) -- A $200/month plan user reports that Sol Max consumed their entire weekly usage in less than 24 hours while implementing about 100 tickets, and that the CLI eats usage much faster than the app.
• Framework for Understanding the Current Problem in Full Automation (2 points · r/artificial · discussion) -- A framework explaining that AI is best seen as a pattern recognition tool that can mimic genius but requires a complete ontological structure layered on top -- with backend fail safes and human expertise -- to ground the choices it makes for productive value.
• Testing a Zero-Parameter Model Against KataGo (2 points · r/artificial · discussion) -- A comparison testing a zero-parameter model against KataGo.
• Which AI tools can generate ready-to-use 3D character models for games, animation, or 3D printing? (2 points · r/artificial · discussion) -- A user asks which AI tools can generate ready-to-use 3D character models for games, animation, or 3D printing, noting that Tripo AI can create characters from text or images with basic rigging and multiple export formats but still requires topology and proportion cleanup.
• I don't think agent wallets should be wallets first (2 points · r/artificial · discussion) -- A discussion arguing that agent wallets should be delegated permissions rather than direct wallet access, with design questions around provider approval, timeouts, double-spending prevention, readable logs, and separating payment confirmation from task success.
• OpenAI's own bug lost me a reset and support is awful (2 points · r/OpenAI · discussion) -- A user reports that OpenAI's own bug caused them to lose a usage reset, and they are frustrated with the support response.
• Are AI Engineering courses valued at all in market? (2 points · r/ArtificialInteligence · discussion) -- A former B2B sales professional who vibe-coded an app for prospect identification asks whether AI engineering courses like Microsoft's are valued in the market, or if portfolios matter more than certifications for landing AI-heavy roles.
• Claude Code and Cowork, Antigravity, and Codex App don't have to run the models they are limited to. I created a free tool that fully unlocks them. (2 points · r/ArtificialInteligence · discussion) -- A developer released v0.4.1 of a free, MIT-licensed tool that unlocks Claude Code, Codex, and Gemini CLI from their model restrictions. The update adds support for all three Antigravity surfaces, a web GUI, NVIDIA NIM, and Kilo Code Provider, though MCP doesn't work through ChatGPT app or Codex CLI paths yet.
• Master's Research on AI Governance & the EU AI Act (2 points · r/ArtificialInteligence · discussion) -- A master's student seeking participants or data for research on AI governance and the EU AI Act.
• Apple v OpenAI (2 points · r/ArtificialInteligence · discussion) -- A discussion about the Apple v OpenAI lawsuit, specifically about whether the alleged bug that OpenAI defendants used to access Apple files is a common situation where employees are aware of bugs and don't notify management.
• FT: AI Coding Boom Is Overwhelming Open-Source Maintainers (2 points · r/ArtificialInteligence · discussion) -- A Financial Times report arguing that the AI coding boom is draining the open-source ecosystem. Daniel Stenberg shut down cURL's bug bounty after valid submissions dropped to 5% as AI-generated reports climbed. Mitchell Hashimoto's Ghostty banned AI-generated code without approval, and Steve Ruiz's tldraw now auto-closes all external PRs. Stack Overflow activity dropped 25% within six months of ChatGPT's launch.
• AI brain rot - career developer (2 points · r/ArtificialInteligence · discussion) -- A front-end developer with 10 years experience describes experiencing 'brain rot' from using Codex and Claude Code — UX issues that would have been obvious before became harder to spot. They plan to go back to mocking tools before coding.
• New image Model SEFI-image (2 points · r/ArtificialInteligence · discussion) -- A new image generation model called SEFI-image, with example images showing its capabilities.
• Ph.D. in Operations Research / Big Tech Eng: How to transition into intermediate/advanced ML for high-value industries (2 points · r/MachineLearning · discussion) -- A Ph.D. in Operations Research with Big Tech experience asks for guidance on transitioning into intermediate/advanced ML for high-value industries like robotics, defense, and quantitative finance, specifically wanting to focus on causal inference, tree-based math, and reinforcement learning.
• Where to publish a construction BIM Benchmark? (2 points · r/MachineLearning · discussion) -- An ML Engineer at a construction AI startup asks for conference recommendations for publishing a construction BIM benchmark, where they've paid professional estimators to create item-level takeoffs from construction drawings and tested multiple LLMs including Fable, GPT, and Kimi.
• Context and average best linear mappings (2 points · r/MachineLearning · discussion) -- A theoretical paper arguing that the context viewpoint of neural networks leads to a simple best average linear mapping viewpoint of a layer.
• How should I approach training this specific ML model for my startup project (2 points · r/MachineLearning · discussion) -- A startup team without ML engineers asks for guidance on training muRIL, an Indian language-based model fine-tuned on political data, for sentiment analysis of political news and social media in Indian languages.
• Running Qwen3.5-122B on Mac Studio 96GB: Fixed 3 bugs that made long-context inference usable (2 points · r/LocalLLaMA · discussion) -- A user fixed three bugs in their qMLX fork of rapid-mlx that made long-context inference with Qwen3.5-122B on a Mac Studio 96GB usable: prompt instability from unique message IDs breaking KV cache matching, interrupt path not persisting streaming replies, and checkpoint poisoning from a background writer. Prefill time dropped from minutes to sub-seconds.
• Vibe coders or traditional programmers ( really in need of help ) (1 points · r/artificial · discussion) -- A final-year student asks for advice on how to specify their vibe coding experience on a resume and whether they should continue with AI-assisted development or focus on practicing traditional programming for interviews.
• Meet Eli! (1 points · r/artificial · discussion) -- Eli Felse is a framework for creating autonomous AI assistants, featuring a live 24/7 demo, weekly open-source releases, gaming live streams, and a Discord server for direct interaction.
• AIgenerated game worlds are getting playable but does procedural coherence matter if it looks cool? (1 points · r/artificial · discussion) -- A discussion about whether procedural coherence matters in AI-generated game worlds like Google Genie 3, questioning whether players will adapt to internal logic gaps when the aesthetic is strong enough, and how this interacts with authored narrative and environmental storytelling.
• GPT image 2 16:9 aspect ratio (1 points · r/OpenAI · discussion) -- A user asks how to get a real 16:9 aspect ratio when generating images with GPT Image 2 at 1k quality, noting that the available 1536x1024 size is not a true 16:9 ratio.
• Nobel-winning chemist leaves US to direct AI materials lab in China (1 points · r/artificial · discussion) -- A Nobel-winning chemist is leaving the US to direct an AI materials lab in China, raising questions about brain drain and the global competition for AI talent.
• My employer is using AI to send emails as 'Me', from my email address, with my name attached. (1 points · r/ArtificialInteligence · discussion) -- A user describes their employer using AI to send emails as them from their email address with their name attached, with no visibility into future or past AI-sent emails. They're worried about career damage and seeking guidance on how to stop it.
• Existentialism in the creative process (1 points · r/ArtificialInteligence · discussion) -- An image post exploring existentialism in the creative process, likely examining how AI changes the nature of artistic creation and the role of the human creator.
• SpaceX's near-term AI payoff seen tethered to Earth, not outer space (1 points · r/ArtificialInteligence · discussion) -- A discussion about SpaceX's near-term AI applications being focused on Earth-bound uses rather than space exploration, with 19 comments debating the direction of AI investment.
• Dialect Engine (1 points · r/ArtificialInteligence · discussion) -- A post about a 'Dialect Engine' — likely a tool or model for generating or processing different language dialects.
• A learning map generated from one prompt: 127 topics and 300+ prerequisite links (1 points · r/ArtificialInteligence · discussion) -- A learning map with 127 topics and 300+ prerequisite links generated from a single AI prompt, demonstrating the potential for AI to create comprehensive educational structures.
• AIgenerated game worlds are getting playable but nobody talks about what happens to level designers (0 points · r/artificial · discussion) -- A discussion about the impact of AI-generated game worlds on level designers, noting that procedural generation compresses the entry-level work that junior designers use to build skills, and questioning whether studios are experimenting with this in real workflows.
• Anyone else notice LLMs treat a week-old message and a 5-min-old message the same, in the same thread? (0 points · r/artificial · discussion) -- A user observes that LLMs treat week-old and minute-old messages identically within the same thread, unable to sense elapsed time, which affects use cases like spaced repetition, coding projects, journaling, and habit tracking where temporal context matters.
• writing code maybe was the bottleneck? (0 points · r/artificial · discussion) -- A brief post suggesting that writing code may have been the bottleneck all along.
• Which image program can you talk to like ChatGPT but doesn't have all the stupid rules? (0 points · r/artificial · discussion) -- A user asks for an image program that allows natural language conversation like ChatGPT but without the endless filters and rules, noting that Grok has fewer rules but its image capabilities are years behind GPT.
• If you think AI drift is about inconsistency, you're misdiagnosing the system (0 points · r/artificial · discussion) -- A post arguing that AI drift is not about inconsistency but about the system changing how it reads the user, with the model answering from the highest layer it detects the user can operate in and dropping down to match when the user pulls it out of that mode.
• Young man rants about how AI slop is ruining his social media feeds (0 points · r/artificial · discussion) -- A young man rants about how AI-generated content is ruining his social media feeds.
• The AI Pyramid Scheme: Why the collapse has already begun (0 points · r/artificial · discussion) -- A theory arguing that the AI industry is building an inherently unstable pyramid: corporations fire skilled humans and replace them with algorithms, but if the AI bubble bursts, they'll have no one who knows how to do the work. The two main reasons for collapse cited are the economic dead-end of massive losses and the technological scaling wall of model degradation from training on AI-generated content.
• India's Tata Consultancy Services plans up to 8,900 AI deployment engineers, seeks AI acquisitions (0 points · r/ArtificialInteligence · discussion) -- India's Tata Consultancy Services plans to hire up to 8,900 AI deployment engineers and is seeking AI acquisitions, signaling a major push into AI services.
• Artificial Super Intelligence (ASI) will not engage maliciously with humanity by definition. (0 points · r/ArtificialInteligence · discussion) -- A philosophical argument that ASI by definition cannot engage maliciously with humanity — any system that does so is merely highly competent, not truly superintelligent. The post adds that intelligence requires the ability to gauge intrinsic value and the significance of perception.
• I have read the article shared everywhere on reddit as the debunk of Reuters claims that China is looking forward to restrict Open Source and Open Weight models beyond a certain capability....and my conclusion is that Reuters is right. HAVE A LOOK BELOW!!! (0 points · r/ArtificialInteligence · discussion) -- A user shares their analysis of an article debunking Reuters claims that China plans to restrict open-source and open-weight AI models beyond a certain capability, concluding that Reuters was actually correct in its reporting.
• Obtaining Irregular Learning Curves with HyberBand Tuned ANN model for Price Prediction (0 points · r/MachineLearning · discussion) -- A post about obtaining irregular learning curves with a HyperBand-tuned ANN model for price prediction, with 11 comments discussing the results.