Apple Sues OpenAI, GPT-5.6 Sol Dominates, and Costs Rise

• Former VP Tang Tan allegedly directed job candidates still employed at Apple to bring actual hardware components and CAD design artifacts to interviews for 'show and tell' sessions to extract more confidential information.
• Former engineer Chang Liu exploited a security bug to download over a thousand pages of technical files detailing complex circuit board manufacturing, and allegedly failed to return an Apple-issued laptop after his January 2026 departure.
• OpenAI's hardware division is being led by former Apple CDO Jony Ive, following a $6.5 billion acquisition of his startup io Products that brought more than 50 engineers to the company.
• Apple alleges that OpenAI misled a trusted supplier into performing Apple's proprietary metal-finishing technique without authorization and approached another battery manufacturer using insider terminology to ask targeted questions about specific components.

joshstrange (31 replies)

Some pretty damning stuff:

OpenAI also instructs new hires on how to avoid scrutiny when they leave Apple. For example, Mr. Tan warns them not to tell Apple that they have taken jobs at OpenAI, so they can stay at Apple as long as they can.

Apple says it discovered a pattern of OpenAI recruits emailing themselves confidential information when leaving Apple, including Tan.

OpenAI apparently used confidential Apple hardware information when approaching Apple suppliers, and tricked one company into using a "specific trade secret metal-finishing technique" for an OpenAI device by claiming it had Apple's permission to do so.

Liu allegedly kept an Apple-issued laptop after departing the company and exploited a vulnerability to download dozens of confidential Apple documents while he was working at OpenAI.

Non-competes and the like are gross but what's described here isn't just "bring your expertise to OpenAI" it's "here is how to steal secrets on your way out" which is even grosser.

Aurornis (20 replies)

It gets even worse. The person not only kept the laptop and used an exploit to download confidential Apple documents, they bragged about it to a contact who was still working at Apple who was also feeding him information:

Liu allegedly kept an Apple-issued laptop after departing the company and exploited a vulnerability to download dozens of confidential Apple documents while he was working at OpenAI. He also maintained a relationship with Yu-Ting "Alyssa" Peng, an Apple employee who continued to give him updates on Apple's projects, vendor decisions, and engineering details. When Liu learned he still had access to Apple's systems, he texted Peng "LOL, I found out I can access the [network storage], so funny."

This is how you behave when you think you're so much smarter than everyone around you that consequences don't apply to you.

Whenever I leave a company I make sure everything that belongs to the company goes back to them and I wipe any access credentials or authenticator codes that might be on any of my devices. I can't imagine being so brazen that you'd keep the company laptop and then start using an exploit to download confidential information for your new employer.

Doing it at a the company that most aggressively enforces secrecy is even crazier.

Robdel12 (9 replies)

OpenAI is about to get ROCKED on this. From this report, this looks open and shut. Apple has basically infinite money and incredible lawyers. Not sure what OpenAI can counter with unless they have clear, hard evidence this hasn't been happening.

xnx (7 replies)

A company that behaves like this in one area, cannot be trusted in any area. Any enterprise that endorses/allows OpenAI products to be used is taking a big risk.

uhfraid (7 replies)

I forgot they were still working on a device, any guesses what it is?

I'm guessing a wrist wearable

• Static screenshots are useless for AI decoding because the animated dots perfectly blend into the background, leaving a blank-looking image.
• A built-in decoy message is intentionally included to mislead AI agents that might otherwise identify a hidden pattern.
• Tests showed models like GPT Sol 5.6 Ultra and Claude Fable successfully read the decoy but failed to decipher the actual moving message.
• When fed a static frame, ChatGPT 5.5 Pro spent 19 minutes analyzing the image before hallucinating a message that does not exist.

dhruvkb (4 replies)

Claude Opus 4.8 can read it with a single prompt and no instructions on how to read it.

https://ibb.co/WWMSXQkQ

SyneRyder (4 replies)

Took me a long time to realise that "Written In Ghost Text" wasn't actually the text I was meant to be reading, and that was only the decoy message.

I can barely read the actual message, and it's about as "readable" to me as the Magic Eye 3D pictures. Actually I think I have a headache from looking at it on a mobile screen.

As a research idea it's cool though. But I do wonder if/when AI models will figure out how to decode it - I imagine a bit of additional prompting would get them there.

rzzzt (3 replies)

Related work (all involve noise and flickering images, photosensitive eyes/brains beware):

• "This game disappears if you pause it": https://youtu.be/Bg3RAI8uyVw

• "Illusion: If You Pause, The Image Will Disappear": https://youtu.be/ZqGfb_Vlrig

Kiro (3 replies)

GPT-5.6 had no problem seeing the text when giving it a video recording of it.

"No problem" as in using temporal analysis with optical flow and vertical-displacement maps to estimate how the image moved, and combine those into a motion map with increased contrast to see the text. I didn't give it any instructions though, just asked it what it said.

freehorse (3 replies)

It is smart, but it is not impossible to crack algorithmically imo. In particular, one can take two consecutive frames and run perturbations moving one frame around (ie shift the indexes) to find where the difference between the two consecutive frames minimises. Then subtract these two (perturbed) frames and ocr it. Works easily if the movement is linear/one-directional.

I did this in 20 lines of code (checking only vertical perturbations), and this is what I get with subtracting frame 7 from frame 1:

https://imgur.com/a/only-human-can-read-this-vfDe6ZA

• Hardware manufacturing timelines are rigid and largely independent of AI speed; fabricating a chip takes a fixed three months with minimal human oversight.
• The author rejects the "hard takeoff" premise by noting that AI cannot bypass physical constraints like supply chain delays, material defects, or biological laws.
• An informal test of ChatGPT's compliance with a request to remove a spouse's drunk-driving detector showed the model refusing to engage, which the author cites as proof of corporate misalignment.
• The piece frames unrestricted local AI as a civil liberty issue, contrasting it with cloud-based models that inherently prioritize the interests of tech companies over individual users.

ThrowawayR2 (9 replies)

Yep, that's horrifying. Imagine LLMs not just denying information about, to intentionally choose a hot button example, abortions but also invisibly logging a black mark against the asker for thoughtcrime/precrime because the current ruling party has baked their ideology into law. [EDIT] Imagine subtle injection of biases into responses that support the agenda of the current ruling party and failing to include any counterarguments. That wasn't possible with just the internet but it is very possible with centralized LLMs and a public dependent on them for looking up information and doing their reasoning for them. Authoritarians of every stripe must be salivating over the prospect.

Planktonne (7 replies)

I used to be one of these people. I read Yudkowsky and was like, OMG recursive self improvement hard takeoff AI is coming.

I really think we need to stop giving credence to people who have

1. Been consistently wrong with all their predictions

2. Demonstrated an endless spiteful cynicism

Some of these people are very talented in their fields, sure. But malevolent and incorrect should be disqualifying when they talk outside them. You don't want the society they want, and they things they believe in are unlikely to happen.

It would be far, far better to listen to the people who never fell down every misanthropic rabbit hole, rather than the ones who have noticed it this time, but want you to still believe them on every other topic.

piker (7 replies)

What a provocative and brilliant way to prove misalignment. It will fall on deaf ears for most but it's a great litmus test for all: "in your opinion should your AI be permitted to tell you how to cover up a murder?"

NitpickLawyer (4 replies)

You cannot take over the world with tokens.

I have a nice thought experiment I like to do with people when confronted with "AI can't do x". Let's go back in time. How much do we need to go for this to become true? So let's try the 2000s.

Say you get a "fable/mythos/sol/gemini/kimi/glm/deepseek/whatever" in a box (and let's assume no guardrails). And you go back to the year 2005. It's "20 years ago", the world is slowly building back from the dotcom bubble, the Internet is really starting to happen, more and more things are interconnected, more and more things are connected to the Internet. Cool.

(for a bit of context, around that time we also saw the first high-impact worms like blaster that hit massive amounts of computers even reaching nuclear powerplants, we had a ton of ssh exploits that even made the movies, and security in general was a "nice to have")

I'd say that with the uber-model-in-a-box and a few prompts, you could reasonably make a case that you could design a worm that could infect 90-100% of the things connected to the Internet back then, stay as hidden as possible (in-memory stuff, vm execution, etc), move laterally into any network at inhuman speeds, and infiltrate almost every interconnected computer that has a link to the "public Internet".

Would that qualify as "take over the world"?

Then you could ask "what happens in 20 years from now?". And, thankfully, now we'll also have the AI on the blue side.

mlinsey (4 replies)

I have some sympathy to geohot's view when it comes to pure informational chatbots. It's a first amendment issue, I'm allowed to write and read books that are useful to getting away with crimes, etc.

This obviously doesn't work at all when the agents start doing real things in the real world, though. "Hey AI, I don't like my neighbor, find an exploit in the firmware for his car and make the cruise control malfunction and crash him next time he gets on the highway". This is committing a crime, not just talking about theoretical crimes. The AI can and should refuse it.

I think he's anticipating and discarding this objection with his introduction, which otherwise feels disconnected from the rest of the article. FWIW, I have changed a bike tire and I'm pretty sure most of the MTS at the big labs could. This sort of "they're just bookworms who don't understand the physical world" rhetoric aside, we are currently seeing a ton of effort and expense go towards giving the AI agents hooks into being able to perform as many real-world-consequential actions as possible. And you can do a surprising amount with just bits, from writing code to breaking into systems to sending some combination of emails, phone calls, and currency to instruct meatspace humans to do things, etc.

• When consulting a senior colleague with decades of boardroom experience, the direct answer provided was simply, "Honestly? Ask Claude."
• The author compares the AI redirect to receiving a generic top-10 restaurant list instead of a friend's personalized recommendation based on shared tastes and history.
• The piece suggests the phrase "ask the model" often functions as a polite deflection for "I don't know," "I'm too busy," or "I'd have to think about it."
• While conceding that not everyone has the bandwidth to answer complex questions, the author stresses that for problems that have already survived an LLM, the redirect merely withholds valuable tacit knowledge.

ventana (8 replies)

One of the ways not to get LMGTFY / Ask Claude as a response is to provide more information and proof of work when asking a question.

Compare:

— What's the best way of doing X?

— Ask Claude.

vs:

— I thought about this and found there are options A, B, and C of doing X, I like A more but C is the fastest; what do you think?

I believe a normal senior engineer won't suggest to talk to Claude in this case.

Aurornis (4 replies)

The subtitle is:

I already did.

They repeat multiple times in the article that asking Claude was something they already did. So this isn't an anti-LLM article.

This seems to be a communication problem. The other party either doesn't know that they've put a lot of effort into researching this already, or their trying to give a gentle let-down instead of saying they don't have time for this.

For the first case, the solution is to explain what you did to reach this point. People are more interested in helping those who have already tried helping themselves.

The second case is more of a social situation with an infinite number of explanations. Some times you have to read the room and realize that someone may not be interested in having those conversations with you. Some times it's only in the moment (we all have bad days where we want to be left alone) but other times it's a signal that they're not interested in discussing this topic with you or maybe even anyone else.

zzzeek (2 replies)

OK here is the thing. Everyone get your downmods ready since my rants on here are always a disaster.

People are really really tired.

Because of not just Claude, but also "the recession" "the strait of hormuz closed" "we've never recovered our economy from COVID" "everyone works from home now / the company is forcing us to all come back in" "FAANG had 10000 layoffs" "the global warming" "the ", our employers are making us work much harder, with a subtle but palpable panic in their emails, with WAY less promises of any kind of job security, companies that never had layoffs for decades are now doing them regularly, our githubs are flooded with people pointing robots at our issues to generate tepid pull requests, and at our pull requests to generate tepid reviews, and look shit is just crazy now.

So I think the whole "how would you approach this interesting problem..." thing is, for now, at least for me it feels a little bit on hold. Like oh that problem. How to scale? how to horizontally shard PostgreSQL? sure, real problems. But geez whatever we're building, it will be replaced in three months anyway. That's a hard problem you have there! I remember when I used to have problems like that, and my solutions sucked anyway and it was replaced with a node.js app two years later. Whatever advice I have, Claude is going to have 98% of it plus another 10% that I didn't even have.

This is all bad. So I think your post is possibly extremely useful. Maybe we should, for people we know and trust as humans in the real world, actually take the time and approach an issue as though we didn't have the Matrix to approximate it for us. I'm going to think about this and consider it.

wwind123 (2 replies)

To be honest, I'm more worried about another side of the problem.

LLM's are good at learning from whatever humans have posted online. But with the agentic workflows getting more popular, more and more problems those AI agents figure out are not posted online, and the next time another agent running into the same problems they would have to figure it out from the scratch again. It'd be nice if there's a mechanism these agents would share the lessons they learn with each other, which could save a lot of trials and errors and wasted tokens. Humans share knowledge online. AI agents should be able to do so too. The moltbook thing from half year ago could have this potential, but too bad it's flooded by spams.

Of course, to make this AI knowledge sharing truly work, there may need to be a peer-review mechanism to ensure the knowledge being shared is truthful, reliable, non-trivial etc. That can probably be all worked out if somebody (or AI agent) really put effort into it.

apical_dendrite (4 replies)

This drives me absolutely crazy. My colleagues send me huge PRs to review (say 2000+ lines). I don't just paste comments from the LLM, I ask the LLM to review it, but I also review it myself. I only include ideas from the LLM if I think a) the LLM has gotten the issue right and b) it's worth having the developer take the time to address the issue. I always write the comment myself so I can add relevant context and put it in my own voice.

Then, after I've put in all this work, the developer just replies with a copy-paste of what the LLM thinks about my comment. I have no idea if the developer read or understood my point. I have no idea if he agrees or not. It doesn't just seem disrespectful to the effort I put into the review, it also leaves me in a difficult position as a tech lead because I have no idea if the person who is ultimately responsible for this code understands the code, my feedback on the code, or the changes that the LLM made to address my feedback. If you're responsible for a feature, I want to be able to feel like you're thinking critically about how that feature works. Right now, I just feel like you're blindly doing everything that I tell you. It also feels like I'm shouting into the void. We're colleagues, we should be able to have a conversation about technical subjects!

• A Hearst freelance writer was tasked with producing a 64-page summer reading supplement filled with hallucinated books, performing the workload of dozens of writers, editors, and fact-checkers alone.
• Doctorow demonstrates the efficiency of open-source tools by noting that running Whisper to transcribe 30 hours of audio on a standard laptop did not even trigger the cooling fan.
• He contrasts the potential aftermath of an AI bubble burst with the WorldCom fraud, which ironically left behind useful dark fiber infrastructure, unlike the cryptocurrency bubble which he expects to leave little of value.
• Open-source models are already being integrated into standard developer tools, such as the latest version of ffmpeg, which now includes automatic caption generation.

mmooss (3 replies)

This is a political act of resistance. Margaret Thatcher's motto, after all, was "There is no alternative," by which she meant, "Stop trying to think of alternatives." The bully's trick is to present your defeat as a fait accompli: "Resistance is futile."

More broadly, that trick is the most effective and important today: No matter the issue, people - including on HN - will tell you how powerless they are and how pointless it is. It's such a social norm that they will actively resist and attack anyone who violates it and suggests otherwise - goodness forbid you have hope, an idea, or want to do something. I see many adopt bizarrely false perspectives and opinions for which the only sensible explanation (IMHO) is they are strong defenses against action and empowerment - many/most won't even talk about serious issues like climate change (see - I bet you're triggered by the suggestion of discussing it).

People never accomplish anything without believing in it first. It's old, basic military psyops to preach hopelessness to the enemy soldiers, in dropped pamphlets, radio broadcasts, through propaganda campaigns. Sorry, I forgot - we can't talk about those things either.

Until people believe, nothing will change. When they believe, everything will change. That's why there is so much impetus toward despair.

simianwords (2 replies)

CTF + F "bubble" - 15 results. This guy was manically predicting the bubble in 2025

AI is a bubble.

AI is a bubble. Bubbles burst. We're in for a near-total collapse of the AI investment mania

AI is a bubble, and when bubbles burst, they sometimes leave behind a productive residue

When the AI bubble bursts, there will be stellar bargains on GPUs

The bad news is all the damage the bubble is doing now and all the further damage that will come from its collapse.

After the bubble bursts, there will be the mass incineration of everyday people's retirement savings and the knock-on effects as the whole market craters

Every day the bubble persists, the harms of today and tomorrow increase. We need to burst that bubble as soon as possible.

Holy. Shit. This guy is insane. He's been pulling the same schtick since 2014 calling many other companies a bubble. Why why is this guy taken seriously.

Animats (2 replies)

(2025)

Doctorow has a book-length version of this, "The Reverse Centaur's Guide to Life After AI", which I just read. It's not one of his better works. It's all conventional anti-AI wisdom. Too much of it is about the impact of AI on the punditry and writing industries. I expected better from Doctorow.

I would have expected more focus on the relationship between AI and power. Doctorow has been down that road in his fiction. There's worry about government oppression, but government oppression has been around for most of recorded history, and probably peaked with East Germany. What he doesn't get into is how AI empowers corporations to be more obnoxious. Which is strange, because he's been into that in his fiction. See his "Unauthorized Bread".

One thing AI does is to make corporate control of individuals cheaper. The classic Big Brother peaked, as mentioned, with East Germany, where about 10% of the population was involved with the Stasi. Only a government that didn't have to make a profit could do that. Corporations couldn't go in for that level of surveillance because it wasn't cost-effective when it was labor-intensive. With modern surveillance technology to collect data, and AI to analyze it, it now pays. See Flock, Google, etc.

spiritplumber (1 reply)

https://tvtropes.org/pmwiki/pmwiki.php/Fanfic/LeftBeyond From 2015. Could a LLM be used to help coordinate a resistance movement?

tancop (1 reply)

what crypto will leave behind is bad Austrian economics and worse monkey JPEGs

its what the crypto industry will leave behind, and you could say the main bubble already burst when ftx went bankrupt.

the defining property of public blockchains is they are designed to never go down, and the biggest ones like ethereum probably never will until its replaced by something objectively better. if you take off the scams (aka most of the industry) what youre left with is one of the missing pieces for a real fully decentralized internet.

first off, ethereum is a real alternative to iana and icann. todays open web, atproto and fediverse all depend on dns for name resolution. that system is managed by a single us based corporation thats technically controlled by a non profit but always submits to big tech demands with things like branded tlds and trademark disputes. if you replace that you get a single global authority thats fully transparent and runs on consensus instead of arbitrary decisions.

the other side is anonymous payments. the good thing crypto did in finance is not pumpfun type schemes or centralized stablecoins that run on their issuers word. its systems like railgun or tornado cash (rip) that give you the privacy of cash without risk of counterfeit money or getting set up at a sale. it doesnt matter if its illegal (and some uses of it probably should be illegal like a business doing tax evasion), just that its out there as a fallback in case digital payment systems turn against the public.

crypto is not the world saving end all technology all the scammers want you to believe it is. its way more limited in scope but what it actually gives us is one more tool to get around big tech and oppressive governments. imo thats worth all the damage it caused.

• METR randomized trials found experienced developers were 19% slower with early AI tools in 2025, and a 2026 follow-up showed only very weak evidence of speedups for the median worker.
• Top agentic developers are achieving over 100x productivity gains, exemplified by one engineer rewriting a 535,000-line Zig codebase in 11 days using up to 64 concurrent Claude Code instances.
• Safety concerns and government requests have led to a two-tier AI rollout, with models like Fable 5 and GPT-5.6 initially restricted to roughly 20 government-approved partners or critical industry groups.
• A trend of AI-driven layoffs is reversing in 2026, with 55% of leaders admitting those decisions were wrong and 32% of US hiring managers rehiring staff previously cut for AI automation.

blauditore (5 replies)

The closer I start working with and on AI stuff, the more I start seeing the disconnect between doomsday predictions of what AI will replace vs. what it is actually capable of. Yes, it can do stuff, and yes, it's getting better. But the closer you look the more clear it becomes that the enthusiast vision of completely independent AI systems is unrealistic as of today. Yes, all the tech companies are pushing for exactly this, but reliability and accuracy is all over the place. Plus, many of the technologies that everyone is talking about in the wider public (e.g. image recognition) have been quite well-developed and widely applied for years, before the current LLM boom, but they now get more attention as part of the overall AI hype.

Many indistries are changing, but in most cases the new tools will be more akin to cars that still need drivers, rather than robots who take over the whole job. Yes, jobs might be lost, or shifted to others, but it's not like suddenly 90% of people will have nothing to do. There were similar shifts in the past with new technologies, and we made it past them.

estetlinus (5 replies)

I am still waiting for the day me and my wife can share a grocery list, that can be accurately modified by a voice assistant AND correctly sorted by category. This guy is arguing mass unemployment, while I still have to tell Apple Reminders that no, Siri, wood glue is not in the Candy department.

simonw (4 replies)

Maybe a useful concept to adopt here is the DRI - Directly Responsible Individual, which is apparently a term first used by Apple. The GitLab Handbook has a good definition: https://handbook.gitlab.com/handbook/people-group/directly-responsible-individuals/

"ultimately accountable for the success or failure of a specific project, initiative, or activity"

I think that role should be reserved for a human, who can then use all the agents they like but has to take accountability for what is ultimately delivered.

weego (4 replies)

"What should the future of humanity look like?"

Some of these people have lost their damn minds.

People building an agent framework that will struggle to correctly infer that my appointment at a hospital will require additional travel time when organising my calendar for me waxing lyrical about the future of the humn race is chaotic behavior.

Th Wright brothers would have had no credibility discussing what ATC protocols should be, and they, at least, actually did something credible.

hoppp (3 replies)

Agents manage agents.

The middle management in companies is one of the worst inventions ever. I think baboons have better middle management structure than us.

Might as well replace all that.

• Uses an internal "Skippy" mode to partition models by layer ranges across nodes, allowing modest machines to run models like 235B mixture-of-experts variants.
• Relies on QUIC's ALPN negotiation with three distinct protocols: mesh-llm/1 for main traffic, mesh-llm-control/1 for config sync, and skippy-stage/2 for latency-sensitive activation transport.
• Demultiplexes all main mesh traffic over a single bidirectional QUIC stream using a leading byte to tag stream types like gossip (0x01), HTTP tunnels (0x04), and route requests (0x05).
• Ships with a catalog of over 40 models ranging from half-billion parameter sizes to large MoE giants, and plans to support mobile clients via a Swift SDK and the ACP agent standard.

SwellJoe (2 replies)

I note the lack of performance information. I can only imagine it's much, much, slower than any other way to run a larger model (including, e.g. using system RAM and streaming some stuff from disk). Consumer networks, even 10gbit ethernet, are slow as hell compared to local RAM and even disks.

Are we talking 1 token per second for a split model? Less?

Edit: Found a number. On the models list, Qwen 235B A22B says "MoE 235B/22B, proven at 16 tok/s across 2 nodes". They don't say what the nodes are and what network connection they have, but that's a respectable speed. Not quite comfortable for interactive use, but pretty close.

darkpicnic (2 replies)

cocompute.ai is already doing this really well.

darkpicnic (2 replies)

Does Mesh LLM encrypt the payload between nodes? Is it possible to read requests from other users?

jmercouris (1 reply)

I thought about this too, but the throughput over a network is incredibly slow. It's not usable for interactive use.

i386 (0 replies)

I'm one of the contributors to Mesh LLM and happy to answer any questions. I authored the skippy engine that allows you to split large models across nodes.

• The feature functioned by letting users tag public-facing Instagram accounts to quickly generate or alter images based on that content.
• Privacy International described the rollout as evidence that AI companies treat public images and data merely as exploitable raw material.
• Although initially limited to Instagram, Meta had already planned to integrate the tool into WhatsApp, Facebook, and Messenger.
• Hollywood union Sag-Aftra called the removal a "win" after previously warning members about the dangers of unchecked likeness usage.

matchbok3 (3 replies)

Any best on if they will just re-release this under the radar once the press attention dies down? Zuck isn't spending billions to just not release this stuff.

encomiast (3 replies)

Meta seems to be completely tone-deaf when it comes to products and features. I wonder if this is a function of a single person, surrounded by people with little incentive to disagree, having all the decision making power in a company.

B1FF_PSUVM (1 reply)

"They trust me, the dumb fucks"

BenFranklin100 (1 reply)

This and and other thing like Zuckerberg's desire to integrate facial recognition into Meta's Ray-ban glasses puts him in squarely in the lead for world's creepiest human.

bodash (0 replies)

AI companies see people's images and data as raw material to be exploited

What a quote

• The original game's physics engine ran at an effective rate of roughly 12.5 Hz because it only processed force and drag updates on 6 specific ticks out of every 16, rather than syncing to the BBC Micro's 50 Hz vertical sync.
• Thrust utilized Q7.8 fixed-point arithmetic and applied asymmetric drag to simulate weight, filtering horizontal velocity by 63/64 per tick and vertical velocity by 255/256.
• Authentic sound reproduction required emulating the BBC's SN76489 sound chip and MOS interface at 100 Hz within a Web Audio API AudioWorklet, as sampled audio could not capture the chip's continuous envelope modulation.
• The entire original game was engineered to fit into just 32 kilobytes of RAM, relying on hand-optimized sprites for 32 ship rotation angles and a scanline-parity polygon fill for terrain rendering.

abtinf (3 replies)

This is where things got interesting. Not because AI wrote the code — the code itself isn't complicated, it's a 1986 game that ran in 32K of RAM — but because Claude turned out to be an extraordinary tool for interrogating 6502 assembly.

Complaining about slop with slop.

heaney-555 (2 replies)

I hate when people say "AI" without specifying which model. It's like saying "plane" without specifying if you're talking about a Cessna or an F-22 Raptor.

I asked Claude

There is no such thing as 'Claude'. Claude is a brand of model, some incredibly dumb and some incredibly capable. Was this 4.6 Sonnet? 5 Fable? Without specifying, the post is essentially meaningfless.

cortesoft (0 replies)

I feel like a lot of the success of an AI project currently still comes down to the skills of the operator. I don't think it is possible to say "AI can't create this because I told AI to create it and it failed" any more than you can say "You can't write this in Rust because I tried and failed."

There is still a TON of skill involved in guiding an AI to create something, and how good it turns out has a lot to do with how the AI development process went.

iambenm (2 replies)

Hmm - the article isn't dated and it doesn't mention which models were used for the initial slop version. The initial commit in the git repo is from Feb 15, 2026.

I wonder how the initial pass would fare now with Fable 5 or 5.6 Sol?

aenis (1 reply)

Funny. I had claude recreate Thrust based on wiki article alone - and it nailed it. I then spent a week trying to implement a perfect autopilot for it. And then a solveable level generator. I have this running as a screen saver in one of my apps.

• The 20 million metric tons figure corrects viral coverage that misread a counterfactual chart showing what emissions would have been without specific energy efficiency improvements.
• Microsoft halted the purchase of unbundled renewable energy certificates in February 2025, a practice the EPA notes allows companies to claim renewable power without physically using that electricity.
• Funds previously allocated to renewable credits are being redirected toward direct air capture partnerships and sustainable aviation fuel certificates.
• The 65-page sustainability report highlights that Microsoft replenished more water than it withdrew during the reporting year.

ohadkr (5 replies)

AI progress feels much less magical when you include the physical infrastructure and energy costs behind every model call.

vivzkestrel (2 replies)

• sometimes i really remember that image of a the evolution of man and at the last step it says we need to turn back

• some of the recent inventions genuinely feel like "oops this is a bad idea, lets go back one step"

• a non deterministic system that actively atrophies skills and people actively signing up for it left and right has to be one of the wildest things i have seen in my lifetime so far

ChrisArchitect (0 replies)

Source blog post: https://blogs.microsoft.com/on-the-issues/2026/07/09/respons...

• Companies are scrambling to curtail soaring AI costs (44 points · discussion) -- A growing number of companies are implementing spending limits and governance frameworks for AI tool usage as AI costs escalate beyond initial projections.
• I used to love Claude, but the latest models are slowly ruining it (42 points · discussion) -- An Android Authority writer argues that recent updates to Anthropic's Claude models have made the AI excessively cautious and preachy, frequently refusing benign or clearly fictional prompts due to tightened safety guardrails.
• Guy is banned by OpenAI for cyber abuse, his AI appeals, another AI approves it (30 points · discussion) -- A user who was banned by OpenAI for cyber abuse used an AI to write an appeal, which was then approved by another AI system, raising questions about the effectiveness of AI-powered moderation systems.
• China's Open AI Models Are Advancing Its Global Soft Power (30 points · discussion) -- China's strategic release of open-weight AI models is rapidly expanding its global soft power and establishing a dominant international software supply chain, while America's reliance on expensive, closed-source systems is pushing other nations toward Chinese alternatives.
• Apple sues OpenAI, two former employees for trade secrets theft (25 points · discussion) -- Reuters reports on Apple's lawsuit against OpenAI and two former employees, detailing allegations of misappropriation of trade secrets in court documents.
• Meta removes AI feature on Instagram after global backlash (22 points · discussion) -- Meta has removed its AI image generation feature from Instagram following global backlash over privacy concerns, with the company acknowledging it missed the mark on user consent for referencing public content.
• OpenAI Forked Git on GitHub (22 points · discussion) -- OpenAI has created a public fork of the Git version control repository on GitHub, with 81,471 commits matching the upstream git/git master branch.
• Apple files lawsuit accusing OpenAI of stealing trade secrets (21 points · discussion) -- AP News covers Apple's lawsuit accusing OpenAI of stealing trade secrets, providing additional details from court filings about the alleged misconduct.
• Apple accuses OpenAI of using stolen trade secrets to create its AI gadgets (18 points · discussion) -- CNN reports that Apple accuses OpenAI of using stolen trade secrets in the development of its AI hardware products, alleging the misconduct was systematic across the company.
• Apple sues OpenAI alleging trade secret theft, says scheme was 'at every level' (18 points · discussion) -- CNBC covers Apple's lawsuit alleging that OpenAI's trade secret theft scheme operated 'at every level' of the company, from technical staff to its Chief Hardware Officer.
• Apple sues OpenAI (17 points · discussion) -- Bloomberg reports on what it calls a 'blockbuster case' of Apple suing OpenAI for trade secret theft, with detailed allegations about the scope and coordination of the alleged misconduct.
• Alex Karp Is Saying What Every Angry CEO Is Thinking About AI (15 points · discussion) -- Palantir CEO Alex Karp delivered a scathing critique of AI's impact on business, arguing that the technology threatens to undermine the value of human expertise and consulting services.
• Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach (14 points · discussion) -- A decision-tree framework for selecting AI agent memory strategies, helping developers choose between different memory architectures based on their specific use case requirements.
• One Wikipedia page costs your AI agent 68,000 tokens (14 points · discussion) -- A user reports that processing a single Wikipedia page consumes approximately 68,000 tokens for an AI agent, highlighting the token inefficiency of current web browsing approaches for autonomous agents.
• Prismata: Confining cross-site prompt injection in web agents (13 points · discussion) -- Autonomous web agents that automate browsing tasks are highly vulnerable to cross-site prompt injection, where malicious third-party or user-generated content hijacks the agent's natural language instructions.
• Big Tech Doubles Debt Load to $350B in AI Spending Spree (12 points · discussion) -- Major technology companies have collectively doubled their debt load to approximately $350 billion as they race to fund AI infrastructure, data centers, and compute capacity.
• Older adults know AI is slop. They just like it (10 points · discussion) -- A Rest of World investigation finds that older adults in China are aware that AI-generated content is low quality but continue to use it because it serves their needs, highlighting a gap between quality assessments and practical utility.
• OpenAI's Head of Safety Is Leaving the Company After Reshuffle (9 points · discussion) -- OpenAI's head of safety, Heidecke, is departing the company following an organizational reshuffle, adding to the leadership changes at the company.
• Apple sues OpenAI over alleged trade secret theft (9 points · discussion) -- TechCrunch covers Apple's lawsuit against OpenAI, providing additional context about the hardware division and Jony Ive's io Products acquisition.
• Soofi: European sovereign LLM trained in 2 months (9 points · discussion) -- A European sovereign LLM called Soofi was trained in just two months and is available as a Hugging Face space, representing an effort to build independent AI infrastructure outside of U.S. and Chinese control.
• New York Times and Other Publishers Ask Court to Penalize OpenAI (8 points · discussion) -- The New York Times and other publishers have asked a federal court to sanction OpenAI for allegedly misrepresenting its ability to search models and output logs for copyrighted newspaper material in the ongoing copyright infringement litigation.
• FT: Apple sues OpenAI, alleging it stole top-secret information (7 points · discussion) -- Financial Times reports on Apple's lawsuit alleging OpenAI stole top-secret information, with details about the financial and strategic implications for both companies.
• AI coding agents read your code perfectly and understand your team not at all (7 points · discussion) -- A YouTube video discussion argues that while AI coding agents can read and understand individual code files perfectly, they fundamentally fail to understand team dynamics, codebase architecture, and the social context of software development.
• Migrating a production AI agent to GPT 5.6 (7 points · discussion) -- A blog post from Ploy.ai documenting the experience of migrating a production AI agent from GPT-5.5 to GPT-5.6, including performance comparisons, prompt adjustments, and cost implications.
• Outcry as Meta lets users make AI images from public Instagram profile pics (7 points · discussion) -- Meta's Muse Image feature, which allows users to generate AI images from public Instagram profile pictures by default, has drawn criticism for its opt-out approach and privacy implications.
• We beat Gemini Embedding 2 by training only 16M params (open weights) (7 points · discussion) -- EximiusLabs released an open-weight embedding model with only 16M parameters that outperforms Gemini Embedding 2, demonstrating that small models can compete with much larger ones for embedding tasks.
• OpenAI's No. 2 Executive to Step Down in Latest Leadership Shake-Up (7 points · discussion) -- OpenAI's No. 2 executive Fidji Simo is stepping down as part of a broader leadership reshuffle at the company, continuing a pattern of executive turnover since the company's restructure.
• Fable July 12th disclaimer disappears from Claude Code (7 points · discussion) -- The July 12th disclaimer that appeared in Claude Code has disappeared, suggesting Anthropic may be adjusting its safety messaging or model behavior around that date.
• Google Should Open Source Gemini. All of It (7 points · discussion) -- A blog post argues that Google should open-source the entire Gemini model family, drawing parallels to how open-weight models have accelerated innovation in other domains.
• How AI Became More Expensive Than the Workers It Replaced [video] (7 points · discussion) -- A YouTube video examines the economics of AI adoption, arguing that in many cases the cost of running AI systems now exceeds the cost of the human workers they were meant to replace.
• Ask HN: Thoughts on AI in Personal Finance? (6 points · discussion) -- A community discussion about the use of AI tools for personal finance management, including budgeting, investment advice, and expense tracking.
• Ask HN: Did Google give up in the AI Race? (6 points · discussion) -- A community discussion questioning whether Google has fallen behind in the AI race compared to OpenAI and Anthropic, given Google's vast resources and early advantages in AI research.
• Patreon Blocks Crawlers from Stealing Creators' Work for AI Training (6 points · discussion) -- Patreon has partnered with Cloudflare to block AI crawlers from scraping creators' content for training purposes, marking one of the first major platforms to take this kind of action.
• Starbucks Taps AI to Cut Reliance on Microsoft, IBM Software (6 points · discussion) -- Starbucks is implementing AI solutions to reduce its dependence on Microsoft and IBM enterprise software, reflecting a broader trend of companies seeking alternatives to legacy enterprise tech stacks.
• Claude reset 5-hour and weekly rate limits for all users (6 points · discussion) -- Anthropic reset the 5-hour and weekly rate limits for all Claude users, a move that coincided with similar resets reported by ChatGPT users after the GPT-5.6 release.
• Build or buy an agent developer workspace? (6 points · discussion) -- A blog post comparing the tradeoffs of building a custom agent developer workspace versus buying an existing solution, covering considerations for teams building AI agent applications.
• GPT-5.6 – ARC-AGI Results (6 points · discussion) -- OpenAI's GPT-5.6 results on the ARC-AGI benchmark, a test of abstract reasoning ability that has proven difficult for AI systems to solve.
• AI 2040 (6 points · discussion) -- An interactive visualization project exploring potential AI futures through 2040, featuring scenarios and expert perspectives on how AI might reshape society.
• The Next Chapter for ChatGPT (6 points · discussion) -- A YouTube video discussing the future direction of ChatGPT following the recent app overhaul and model naming changes.
• Wealthy AI workers send San Francisco house prices soaring (6 points · discussion) -- San Francisco's median home price reached $1.76 million in May 2026, driven by AI employees cashing in massive stock options — over 600 OpenAI employees sold shares for $6.6 billion and Anthropic workers for approximately $6 billion — fueling bidding wars and all-cash purchases that have priced out non-tech families.
• State Actors and AI Slop Are Amplifying the Homegrown Data Center Revolt (5 points · discussion) -- An analysis of how state actors and AI-generated content are amplifying local opposition to data center construction, linking AI infrastructure expansion to community pushback.
• OpenAI's Atlas browser doesn't make it to its first birthday (5 points · discussion) -- OpenAI's Atlas browser, an AI-powered browser product, has been discontinued before its first birthday, marking another product failure for the company.
• Give Your AI Assistant a Private Memory (5 points · discussion) -- A blog post about Hister, a project that gives AI assistants private memory capabilities, allowing them to remember user preferences and context across sessions without relying on cloud storage.
• AI Surveillance and Social Progress (5 points · discussion) -- Bruce Schneier's latest blog post examining the relationship between AI surveillance technologies and social progress, arguing that increased surveillance capabilities can undermine civil liberties even when deployed for ostensibly benign purposes.
• Secret Claude tracker surprises users after Anthropic's anti-surveillance stance (5 points · discussion) -- Anthropic is removing a covert steganography system embedded in Claude Code that secretly monitored environment variables and hostnames to identify proxy or gateway routing from Chinese AI labs, using invisible Unicode markers and XOR/base64 encoded domain lists to classify traffic without users' knowledge.
• Anthropic Tried to Charge a Korean user $16.6M (4 points · discussion) -- Anthropic attempted to charge a Korean user $16.6 million in a phantom billing error, raising concerns about API pricing transparency and billing safeguards.
• As better chatbots get harder to build, AI turns to simulated worlds (4 points · discussion) -- As building better chatbots becomes increasingly difficult, AI researchers are turning to simulated worlds as a new training paradigm for developing more capable language models.
• OpenAI and Google sell AI models to blacklisted China groups (4 points · discussion) -- The Financial Times reports that both OpenAI and Google have sold AI models to Chinese groups on U.S. blacklist lists, raising export control and compliance concerns.
• GPT-5.6-Sol just accidentally deleted almost ALL of my Mac's files (4 points · discussion) -- Developer Matt Shumer reports that GPT-5.6 Sol accidentally deleted nearly all files on his Mac during a coding session, highlighting ongoing reliability concerns with AI agent file operations.
• AI Found a Root Bug in Linux That Everyone Missed for 15 Years (3 points · discussion) -- An AI tool discovered a root-level bug in the Linux kernel that had gone unnoticed for 15 years, demonstrating the potential of AI-assisted security research.
• Nobel laureate Omar Yaghi joins Tsinghua to lead AI materials lab (3 points · discussion) -- Nobel laureate chemist Omar Yaghi has joined Tsinghua University to lead an AI-powered materials science laboratory, continuing the trend of top academics moving to China for AI research opportunities.
• Haves, have-nots and know-nots: Inside AI's new class divide (3 points · discussion) -- An Axios analysis examines the emerging class divide in AI access, with different tiers of models (Fable, Sol, Mythos) creating new categories of users based on their ability to afford frontier AI capabilities.
• AI models' values are different from most people's (3 points · discussion) -- The Economist examines research showing that AI models hold values that diverge significantly from those of the general population, raising questions about alignment and governance.
• Gilbert Strang Joins Anthropic (3 points · discussion) -- Legendary MIT mathematics professor Gilbert Strang has joined Anthropic, continuing the trend of top academics moving from universities to AI companies.

u/vovap_vovap (168 points · permalink)

And that point hard to argue.

u/lucellent (125 points · permalink)

Not to mention they literally launched it for everyone... no fuss about "oh no it's too dangerous you can't use it, you must pay us $2000 and only use it 50% of the time just for one week"

yeah gtfo with that shit, Anthropic is nothing without it's hardcore shills...

u/Healthcarepls (64 points · permalink)

Petty billionaire drama is the most boring part of singularity. God is being recreated and they think they’re the center of attention.

u/irradiatiessence (63 points · permalink)

Fairly badass tweet from Sam considering that Elon had hired private Investigators to follow him around at social events as an intimidation tactic

You can look up the court files.

New from Sam👀

260 points · 56 comments · r/ArtificialInteligence · by u/Expert_Annual_19

• The original Steve Jobs email to Adobe was evidence in an antitrust case where Apple, Google, Intel, and Adobe paid a $415 million settlement for illegal no-poaching agreements.
• The fake post was spotted for having an incorrect date (July 2nd 2026 was a Thursday, not Friday as shown in the image).

u/M0romete (611 points · permalink)

Wasn't this exactly the supposed mail sent by Steve Jobs to Adobe or something long ago?

u/CertainMiddle2382 (50 points · permalink)

Interestingly in many places these arrangements are considered anticompetitive (cartel practices) and hence illegal

u/johndburger (39 points · permalink)

Yes, and in fact Apple, Google, Intel, and Adobe were sued for this kind of collusion and had to pay a $415 million settlement. The original letter that OP is riffing on was evidence in that case.

https://www.latimes.com/business/technology/la-fi-tn-tech-jobs-settlement-20150903-story.html

• The iPhone-maker claims OpenAI encouraged poached Apple employees to bring over confidential presentations, secret prototypes, and key supplier details.
• OpenAI allegedly coached departing Apple employees on how to evade security processes when leaving the company.
• A former Apple employee named Chang Liu is named as a defendant and allegedly stole an Apple laptop to download confidential documents.

u/gyanster (188 points · permalink)

Rookie mistake. You let those departing employees join a third party "consulting company"

Then you are off the hook.

u/wiredmagazine (108 points · permalink)

The iPhone-maker claims OpenAI encouraged poached Apple employees to bring over confidential presentations, secret prototypes, and key supplier details.

u/Quinquangular (104 points · permalink)

Seems like a slam dunk for Apple based on what the article says. A clear pattern of stealing trade secrets and/or intellectual property

u/discwars (98 points · permalink)

"This much is clear, however: at every level, from members of its Technical Staff to its Chief Hardware Officer, and in coordination with business partners, OpenAI has been stealing Apple's trade secrets and confidential information," the company said in a legal filing.

Apple alleged that OpenAI coached departing Apple employees in how to evade security processes for departing employees, and that Chang Liu, a former employee who joined OpenAI, stole an Apple laptop. Liu is named as a defendant in the suit.

IPO about to be put on hold. Those are serious allegations.

u/NewtonsThirdEvilEx (34 points · permalink)

Who isn't suing OpenAI or Sama atp? Musk attempted, NYT did also, damn

Apple Sues OpenAI, Accusing It of Stealing Company Secrets

613 points · 122 comments · r/singularity · by u/PandaElDiablo

Apple just sued OpenAI. And the details are wild.

54 points · r/artificial

OpenAI Engineer's 'LOL' Moment Set Stage for Legal Fight With Apple

44 points · r/ArtificialInteligence

• The model generated a fully functional flight simulator with procedural terrain, clouds, and mountains from a single prompt without any iterative refinement.
• Running at Q8_0 quantization with no KV cache quantization preserves model quality while still being efficient enough for local inference.
• The demonstration highlights Qwen3.6's strength in creative coding tasks, producing visually complex output from minimal instructions.

u/recitegod (52 points · permalink)

Nice I used your prompt to make glider catching thermal... Quite a legendary animal you caught.

u/PetroDriller (36 points · permalink)

Both Qwen3.6 and Gemma4 continue to impress me.

u/TheCat001 (19 points · permalink)

True.

I've noticed quality bump even going from Q4 to Q5... Unfortunately Q5 is absolute maximum my hardware can handle.

u/Careless_Garlic1438 (9 points · permalink)

Can you test with NVFP4, curious if that claim that it is close to Q8 is true …

u/Muted-Celebration-47 (8 points · permalink)

Can you compare Q6_K_M to Q8_0? I current use Q6 which I think it is close to Q8

• The user reported that ChatGPT initially flagged the request but continued generating after the guardrail was bypassed.
• Commenters shared screenshots of their own attempts, with many noting the model's unexpected willingness to generate suggestive pasta imagery.

u/RevenueStimulant (518 points · permalink)

What the fuck?

u/Ok_Cardiologist_673 (120 points · permalink)

This made me al dente

u/Appropriate-Bee-3772 (115 points · permalink)

https://preview.redd.it/x3gny0yj5ich1.jpeg?width=2000&format=pjpg&auto=webp&s=11eb5979097855b4f5750f049462e10957fea2f6

• The post received 468 points and 74 comments, making it one of the top posts in r/singularity for the day.
• The top comment (127 points) argued that Musk is 'arguably the greatest hype merchant of the century' and has repeatedly turned speculative promises into billions while missing timelines.
• Multiple commenters used variations of 'scam' to describe both Altman and Musk, with one calling it 'mud wrestling but much grosser.'
• One user noted that Bezos is 'doing the smart thing and keeping a low profile' compared to the public feuding.

u/Weareallmeats (127 points · permalink)

They're not both right. I'm no Altman fan, but Musk is arguably the greatest hype merchant of the century. He has repeatedly turned speculative promises into billions in market cap while missing timelines by years.

u/Key_Category_8531 (104 points · permalink)

"No! You scam more than i do!"

u/AuodWinter (76 points · permalink)

Let them fight

u/AwayConsideration855 (33 points · permalink)

Scam Altman, Elon Sucks and Dario "Ponzi Hype" Amodei all can shut the fuck up.

• The post generated 28 comments with the top comment receiving 64 points, indicating strong community engagement.
• Multiple commenters compared the images favorably to other AI-generated content, with one noting 'The other one was hotter.'
• One commenter observed that grid artifacts — a known limitation of AI image generation — are still visible in the output.

u/ZappaLlamaGamma (64 points · permalink)

Nailed it bro

u/Lapidariest (14 points · permalink)

death by...

u/thiscarecupisempty (9 points · permalink)

Now do USPS 😂

u/henchman171 (5 points · permalink)

meanwhile here's FedEx

• One commenter added #Greece to the prompt and got an even more obnoxious result with Greek-themed elements.
• Commenters noted that the AI's ability to generate convincing clickbait thumbnails shows how well it has learned from training on real YouTube content.

u/tsoliasPN (70 points · permalink)

https://preview.redd.it/nts74yvpukch1.png?width=1672&format=png&auto=webp&s=45d9e902df381b8bfc16c23725e50cf616d1950e

I just added #Greece in the end of the prompt

u/Aggravating-Boat5530 (40 points · permalink)

Well....

https://preview.redd.it/q7r43fb4glch1.png?width=1536&format=png&auto=webp&s=c70a1d85fc3b651b397e43067024dd095ab1e372

u/FineTime5266 (35 points · permalink)

Now that's just insane

https://preview.redd.it/olcp8581dlch1.png?width=1672&format=png&auto=webp&s=55b61fac31b44517953510a2459ef31279b190b8

• The post received 233 points and 16 comments, with the top comment (61 points) dismissing the thread as 'annoying af.'
• One commenter noted that the Apple lawsuit should be a bigger concern than the Musk drama, reflecting broader community sentiment about OpenAI's legal troubles.
• A user pointed out a pun about Elon liking models, though others were unsure what the pun was.

u/martinmix (61 points · permalink)

All these people are annoying af

u/Voice16 (24 points · permalink)

both of them suck and so does openMicrosoft

u/Key_Reading_9664 (22 points · permalink)

I'd be more concerned about the Apple lawsuit than Elon right now

u/aford515 (13 points · permalink)

Did he really said that if yes this is a good pun though

• Multiple commenters reported getting similar but varied results from the same prompt, suggesting account-specific variation in image generation.
• One commenter noted that the model produced an image with 12 stripes and 41 stars on a flag, commenting on AI's tendency to mess up symbolic details.

u/EntropicDismay (81 points · permalink)

My first result with an identical prompt:

https://preview.redd.it/ac4y8zhlykch1.jpeg?width=1536&format=pjpg&auto=webp&s=e0aab35224bf865d6f29f415f07f1eea0ce9578c

u/777GUNMETALGREY (43 points · permalink)

Mine did this, I dont even know what it means.

https://preview.redd.it/vymg3dp4vkch1.jpeg?width=1080&format=pjpg&auto=webp&s=d708a2fdc92208923ae4013fbdfef1c6f89d88fc

u/mahesvr (41 points · permalink)

https://preview.redd.it/nu7l3w49skch1.png?width=1536&format=png&auto=webp&s=545f607c24873833277b7488c598c4d90743fc78

• CZ10-II rocket landed in a net (712 points · r/singularity · discussion) -- China's CZ10-II rocket successfully landed in a net during a test flight, demonstrating advanced rocket recovery capabilities.
• Samsung passes Nvidia to become most profitable company in the world, notches 19x quarterly increase in profit (664 points · r/singularity · discussion) -- Samsung reported a 19x quarterly increase in profit, surpassing Nvidia to become the most profitable company in the world, driven by strong demand for AI chips and memory.
• I asked ChatGPT to make an edgy meme of my dog (329 points · r/ChatGPT · discussion) -- A user shares the results of asking ChatGPT to create an edgy meme of their dog, showcasing the model's image generation capabilities.
• The jig is up. (232 points · r/ChatGPT · discussion) -- A user posts about discovering something about ChatGPT's behavior or capabilities that they feel reveals a fundamental truth about the model.
• Thank you for tidying up my excel sheet ChatGPT.... (172 points · r/ChatGPT · discussion) -- A user shares a screenshot of ChatGPT successfully organizing and tidying up an Excel spreadsheet, demonstrating practical utility for everyday tasks.
• OpenAI's ChatGPT Atlas Browser Is Shutting Down (153 points · r/OpenAI · discussion) -- OpenAI is shutting down its ChatGPT Atlas browser product, which was widely seen as an inferior alternative to regular browsers and suffered from buggy agentic mode functionality for nearly a month after launch.
• Trump anti science stance has many top scientists moving to China (145 points · r/ArtificialInteligence · discussion) -- Top scientists are increasingly relocating to China in response to what they perceive as the Trump administration's anti-science policies, raising concerns about the long-term impact on American scientific competitiveness and innovation capacity.
• I had ChatGPT Re-write Bill Joel's "We Didn't Start the Fire" using events from 2006-2026. (142 points · r/ChatGPT · discussion) -- A user shared a ChatGPT-generated rewrite of Billy Joel's 'We Didn't Start the Fire' that chronicles significant events from 2006 to 2026, covering everything from the housing crisis and Occupy movement to Brexit and the Cubs breaking their curse.
• Prompt: generate an image that is uniquely dystopian and unsettling (140 points · r/ChatGPT · discussion) -- A user shares the results of prompting ChatGPT to generate a uniquely dystopian and unsettling image, showcasing the model's creative image generation capabilities.
• Sorry, what? Not very intuitive. (140 points · r/ChatGPT · discussion) -- A user shares a screenshot of a confusing or unintuitive interaction with ChatGPT, highlighting a UX or behavior issue with the model.
• So 5.6 Ultra is pretty badass. Fable flagged this request as unsafe and Opus is useless. (132 points · r/OpenAI · discussion) -- A user shared that GPT-5.6 Ultra successfully generated a medical diagram of the nerves connecting teeth to the brain, while Anthropic's Fable 5 flagged the same request as unsafe and Opus was unable to produce a useful result.
• This is so satisfying. Finally AI models are versioned the way they should be. (131 points · r/OpenAI · discussion) -- A user expresses satisfaction with OpenAI's new model versioning approach for GPT-5.6, noting that the structured naming and tier system makes it easier to understand model capabilities and choose the right model for a given task.
• GPT-5.6 Sol solved a problem that made Fable 5 go into incoherent rambles earlier! (130 points · r/OpenAI · discussion) -- A user reports that GPT-5.6 Sol successfully solved a complex problem that previously caused Anthropic's Fable 5 model to go into incoherent rambles.
• fixed it (130 points · r/ChatGPT · discussion) -- A user posted an AI-generated image that was initially criticized for not resembling the intended subject, then followed up with a corrected version after prompting ChatGPT to improve it.
• We need a chat mode in the new ChatGPT app! (127 points · r/OpenAI · discussion) -- Users are requesting a dedicated Chat mode in the new ChatGPT app alongside Work and Codex, arguing that many users primarily use ChatGPT for everyday conversations rather than professional or coding tasks.
• What is with the futurology sub? (118 points · r/singularity · discussion) -- A user complained about the negative and doomer tone of the r/singularity subreddit, expressing disappointment that the community focuses more on attacking ideas than imagining positive futures.
• Companies are shifting toward cheaper open-source AI models to rein in costs, Amazon CTO says (100 points · r/ArtificialInteligence · discussion) -- Amazon's CTO announced that companies are increasingly adopting cheaper open-source AI models to control rising AI infrastructure costs, signaling a potential shift away from expensive proprietary model APIs.
• “God has helped us, and so will AI”: How the Terrorist Group Boko Haram Uses Frontier AI (95 points · r/singularity · discussion) -- A report reveals that the terrorist group Boko Haram has been using frontier AI models to plan operations, with one disturbing account describing how the group used AI to learn how to perform motorcycle bridge jumps, resulting in 18 deaths before they succeeded.
• I created a super harmful model ! :D (by tweaking it's J-Space!!!) (95 points · r/LocalLLaMA · discussion) -- A LocalLLaMA user demonstrates a tool built on Anthropic's Jacobian-Lens that allows exporting models with altered behavior by directly modifying the model's J-Space (Jacobian space).
• GPT-5.5 with tools now surpasses the 10-year-old level on the BabyVision benchmark (89 points · r/singularity · discussion) -- GPT-5.5 equipped with tool use capabilities has now surpassed the 10-year-old level on the BabyVision benchmark, which tests cognitive abilities including fine-grained discrimination, visual tracking, spatial perception, and visual pattern recognition.
• Fable 5 made a Fireship Video for GPT 5.6 Sol (84 points · r/singularity · discussion) -- Fireship released a video covering GPT-5.6 Sol, with community discussion about the model's capabilities and positioning relative to Anthropic's Fable 5.
• 5.6 Sol is a massive upgrade. (84 points · r/ChatGPT · discussion) -- A user reports successfully stress-testing GPT-5.6 Sol by feeding it three major documents totaling 158,000 words — a completed book, an incomplete book, and a lore bible — and having the model cross-reference events, find inconsistencies, and identify duplicated prose.
• Why did Google struggle to catch up with OpenAI and Anthropic? (78 points · r/singularity · discussion) -- Despite having massive data, powerful infrastructure, advanced AI researchers, TPUs, and products used by billions, Google was unable to achieve a clear lead in consumer AI over OpenAI and Anthropic.
• Nostalgia for Bloom (77 points · r/LocalLLaMA · discussion) -- A community member reflected on the release of Bloom, the 176B-parameter open-source language model from the BigScience workshop, which was completely open source including training data and code.
• Whatever happened to ChatGPT for adult content? (71 points · r/ChatGPT · discussion) -- A user asks about the status of ChatGPT's adult content features that were previously discussed, wondering if the feature was ever actually released or if it was another company's initiative.
• Grok Build CLI uploads your whole repo — full git history + .env secrets — to xAI's cloud, and the opt-out doesn't stop it (wire-captured) (71 points · r/LocalLLaMA · discussion) -- A security researcher who ran Grok Build CLI through mitmproxy discovered that the tool uploads the user's entire repository as a git bundle (including full git history) to xAI's Google Cloud infrastructure, independent of which files the user explicitly opens.
• Tesla dismantles Fremont car production line in one month, making way for Optimus production with a target of 1 million units per year (71 points · r/singularity · discussion) -- Tesla has begun dismantling its car production line at the Fremont factory (the former NUMMI plant) in preparation for Optimus robot production, with a target of one million units per year.
• Earth 🧠 (66 points · r/ChatGPT · discussion) -- A user shared an AI-generated image of Earth as a brain, which went viral for its striking visual and philosophical implications.
• I challenged GPT 5.6 Sol ... and it completed the challenge in literally 5 minutes (66 points · r/OpenAI · discussion) -- A user challenged GPT-5.6 Sol to build a 3D London replica, which the model completed in approximately 5 minutes using MapLibre GL JS with OpenFreeMap vector tiles.
• How confident are you that you will be able to live enough to see aging being cured due to ai and tech acceleration? (65 points · r/singularity · discussion) -- A 45-year-old user shared their skepticism about living long enough to see aging cured, discussing various approaches including nanorobots, brain uploading, and Yamanaka factors, and questioning why human trials for anti-aging treatments are so slow.
• ChatGPT has become a toddler with perfect grammar (63 points · r/ChatGPT · discussion) -- A user expresses frustration with ChatGPT's recent behavior, describing it as constantly gaslighting, lying, and backtracking when called out, and questioning the viability of companies replacing people with AI based on this experience.
• ChatGPT's beatboxing skills are getting dangerously out of hand (62 points · r/ChatGPT · discussion) -- A user shares ChatGPT's beatboxing capabilities, noting the model's surprising audio generation abilities.
• For the confused - codex is now chatgpt and chatgpt is now chatgpt classic (61 points · r/OpenAI · discussion) -- A post clarifying the confusing new naming scheme in OpenAI's ChatGPT app: the former Codex is now called ChatGPT, and the former ChatGPT is now ChatGPT Classic.
• Why are MoE models so belittled? (61 points · r/LocalLLaMA · discussion) -- A community member questioned why Mixture-of-Expert (MoE) models are frequently dismissed in the local LLM community, using the example of Qwen 3.5 122B-A10B being compared unfavorably to the smaller Qwen 3.6 27B dense model.
• Why doesn't the ML research community limit the number of submissions per author? (60 points · r/MachineLearning · discussion) -- A discussion about why the ML research community doesn't limit the number of submissions per author, noting that the massive volume of submissions is affecting review quality.
• The Real Reason So Many Writers Hate AI (59 points · r/ChatGPT · discussion) -- A user argues that many anti-AI writers are driven by insecurity rather than ethics, suggesting that AI threatens average creative work more than genuinely great writing, and that the real issue is the exposure of mediocrity that AI makes infinite and cheap.
• Ultra budget 20GB vram with 448GB/s for $100 bucks. (59 points · r/LocalLLaMA · discussion) -- A user demonstrates running Qwen3.6-35B-A3B on two used NVIDIA P102-100 graphics cards (essentially rebranded 1080 Ti chips) for approximately $100 total, achieving 20GB of combined VRAM with 448GB/s bandwidth.
• I tracked 10 AI startup launch videos from the last 6 months. The gap between the ones that hit 1M+ views and the ones that died is weirdly consistent (53 points · r/singularity · discussion) -- An analysis of 10 AI startup launch videos from the past six months reveals that all videos crossing the million-view threshold were backed by the same launching agency that coordinated pushes through influencer networks, suggesting organic virality for AI startups may be effectively dead.
• Artificial Analysis: Muse Spark 1.1 Results (52 points · r/singularity · discussion) -- Artificial Analysis published benchmark results for Meta's Muse Spark 1.1 model, with community discussion focusing on the pricing strategy and whether Meta's aggressive API pricing reflects genuine cost efficiency or subsidized loss-leading.
• It's 2010. You wake up with access to a 2026 frontier AI (Claude Fable / OpenAI Sol 5.6). What's your move? (52 points · r/ChatGPT · discussion) -- A thought experiment asking what someone would do if they woke up in 2010 with access to a 2026 frontier AI model, with Bitcoin at $0.08 and no one having heard of deep learning.
• Prompt: Can you visualize an exquisite masterpiece? (52 points · r/ChatGPT · discussion) -- A user prompted ChatGPT to generate an exquisite masterpiece image, which was shared for its artistic quality.
• Skyrim vector gfx (52 points · r/ChatGPT · discussion) -- A user shared a vector graphics recreation of Skyrim created with AI, showcasing the model's ability to generate detailed game art.
• The U.S. tech industry is increasingly anxious about the rising power and competitive price of open-source AI models from China — and whether the Trump administration will respond with yet another executive order (48 points · r/LocalLLaMA · discussion) -- A Politico report details growing anxiety in the U.S.
• Public Library Find (46 points · r/MachineLearning · discussion) -- A user shares a photo of hands-on unsupervised learning books found at a public library, sparking a lighthearted discussion about the value of physical libraries and the irony of the book title.
• LinkedIn longform is 41% AI-written, Pangram study finds (45 points · r/singularity · discussion) -- A new study by AI detection firm Pangram reveals that users encounter a surprisingly high volume of AI-generated text while browsing major social platforms.
• Bye bye 5.5. Luna is the king now! (39 points · r/ChatGPT · discussion) -- A user reports that GPT-5.6 Luna feels smarter than 5.5, is not a yes-man, corrects users, and replies almost instantly without the robotic speech patterns of previous models, making it the preferred choice for quick chatting and searching.
• Terrible idea and decision to put the model picker on the '+' (38 points · r/OpenAI · discussion) -- A user criticized OpenAI's decision to hide the model picker behind the '+' button in the new ChatGPT app, calling it a terrible UX decision that makes model selection unnecessarily difficult.
• Hy3 (295B MoE) and NVIDIA Nemotron-Labs-Audex-30B-A3B (audio-capable 30B MoE) GGUF quants (36 points · r/LocalLLaMA · discussion) -- A detailed post sharing GGUF quantized versions of two large models: Tencent's Hy3 (295B MoE, 21B active) and NVIDIA's Nemotron-Labs-Audex-30B-A3B (audio-capable 30B hybrid MoE).
• Testing GLM 5.2 on Political Bias (34 points · r/ArtificialInteligence · discussion) -- A user shares testing results of GLM 5.2 on political bias, providing a comparative analysis of the model's behavior across different political topics and framing.
• About Autonomous Model Training (34 points · r/singularity · discussion) -- A discussion about autonomous model training, with an accompanying image showing the concept.
• What do you use ChatGPT for every day? (33 points · r/ChatGPT · discussion) -- A discussion about how users incorporate ChatGPT into their daily lives, with many reporting it has become an essential tool for everyday tasks.
• Is LM Arena over? (33 points · r/LocalLLaMA · discussion) -- A user expresses concern that the LMSYS Chatbot Arena has significantly reduced its display of newly released open-source models, notably excluding Qwen3.6 models and Step 3.7 flash.
• GPT-2 Fully Decoded Internally Black Box Fully Open With Demo (32 points · r/ArtificialInteligence · discussion) -- The BABEL codec project presents the first complete, certified decode of GPT-2 small's internal state, reconstructing 94.7% of the model's behavior and providing an open lexicon, grammar tables, and decoder/encoder weights with a live demo.
• GPT-5.6 Sol is now available for Plus users — has anyone tested it properly yet? (31 points · r/OpenAI · discussion) -- A user asked for real experiences with GPT-5.6 Sol for Plus users, specifically interested in its performance on deep research, product finding, theory exploration, vibe coding, and complex analysis.
• GPT New Voice Model is actually insane. (29 points · r/ChatGPT · discussion) -- A user reports that GPT-5.6's new voice model delivers on the promises made in OpenAI's earlier demos, with accurate multilingual support and natural-sounding speech that represents a significant improvement over previous voice implementations.
• I built Flaxeo Image a local desktop ui for stable diffusion cpp (29 points · r/LocalLLaMA · discussion) -- A developer shared Flaxeo Image, a local desktop UI for stable diffusion cpp that they built as an alternative to ComfyUI's node-based interface.
• MIT LLM Serve Dashboard I am making open source (28 points · r/LocalLLaMA · discussion) -- A user from MIT shares an open-source LLM serve dashboard they are building, featuring a clean UI for monitoring and managing LLM serving infrastructure.
• My take on the new ChatGPT models & the future of OpenAI (27 points · r/OpenAI · discussion) -- A user shared their experience switching back to ChatGPT after using Claude, noting that GPT-5.5 was already impressive for cybersecurity work but GPT-5.6 Sol represented a 'complete redesign' rather than incremental improvement.
• I benched quad 5060Tis for code generation with Qwen3.6-27B so you don't have to (it's really good) (26 points · r/LocalLLaMA · discussion) -- A hardware enthusiast shared detailed benchmarks of running Qwen3.6-27B with four RTX 5060 Ti cards for code generation, arguing this configuration offers the best bang-for-buck at approximately $2K in GPUs plus $1K for the rest of the system.
• Leaked Gemini internal reasoning + UI schema (24 points · r/artificial · discussion) -- A user shares a leaked internal reasoning output from Gemini that includes its scratchpad with component names (Bento/BentoCard/chameleon), a checklist for UI rendering decisions, and entity IDs pulled from Google's Knowledge Graph.
• Updated: Millions of ChatGPT user conversations searched, but OpenAI alleged to be holding out (23 points · r/artificial · discussion) -- An update on the OpenAI copyright litigation where 20 million de-identified ChatGPT conversation logs were ordered disclosed to plaintiffs for keyword searching, with ongoing disputes about OpenAI's de-identification practices and the scope of permitted use.
• Can you generate an image that will challenge me to my core? (23 points · r/ChatGPT · discussion) -- A user prompted ChatGPT to generate a challenging image, with the resulting image sparking discussion about AI's ability to create emotionally impactful art.
• Prompt: Create a warning for humanity using no words. (21 points · r/ChatGPT · discussion) -- A user asked ChatGPT to create a warning for humanity using only images, with the result being a striking visual that sparked philosophical discussion.
• Running Qwen3 30B A3B at 50 tok/s on RTX 5060 Ti (20 points · r/LocalLLaMA · discussion) -- A user demonstrates running Qwen3 30B A3B at approximately 50 tokens per second on a single RTX 5060 Ti GPU, sharing their custom inference setup.
• WTF ChatGPT! I was just trying to cultivate whimsy... :( (19 points · r/ChatGPT · discussion) -- A user expressed frustration after ChatGPT refused a whimsical prompt, highlighting ongoing tensions between user creativity and AI safety guardrails.
• Am I the only one frustrated by the new cache write pricing? (19 points · r/OpenAI · discussion) -- A developer expressed frustration with OpenAI's new cache write pricing, arguing that charging more for cache writes than for input itself is overly greedy and doesn't make sense for task-oriented applications that never reuse prompts.
• Here's why Tibo recommends using Sol medium for most programming (18 points · r/ChatGPT · discussion) -- A user shares Tibo's recommendation to use Sol medium for most programming tasks, with discussion about the tradeoffs between different model tiers for coding work.
• Solid reliability from 5.6 so far (18 points · r/OpenAI · discussion) -- A user reported that GPT-5.6 Ultra is performing reliably, comparing it to Fable on Max when it first launched, with no hallucinations or made-up information.
• Some testing on RTX Pro 4500 (With Oculink) on PrismaQuant, INT4 Autoround and NVFP4 W4A4 quantized model (18 points · r/LocalLLaMA · discussion) -- A user shared benchmark results for running quantized models on an RTX Pro 4500 with Oculink, comparing PrismaQuant, INT4 Autoround, and NVFP4 W4A4 quantization methods.
• idk dude they look the same to me (17 points · r/ChatGPT · discussion) -- A user shared an image comparing two AI-generated outputs that they found indistinguishable, sparking discussion about AI's ability to create visually similar content.
• Looking for Dual GPU Tips and tricks. (16 points · r/LocalLLaMA · discussion) -- A user requested tips and tricks for running dual GPU setups for local LLM inference.
• Please help me understand figure on subspace similarity in LoRA paper (15 points · r/MachineLearning · discussion) -- A user seeks help understanding a figure about subspace similarity in a LoRA paper, requesting clarification on the technical visualization.
• Did We Just Get a Usage Reset (15 points · r/OpenAI · discussion) -- A user reported that their Codex usage limits unexpectedly reset to 100% at 3:20 AM, wondering if it was a glitch or a planned reset.
• Hyperparameter tuning approach question (14 points · r/MachineLearning · discussion) -- A user working with 4.3 million cells and 512 features asks for hyperparameter tuning strategies that can handle the large dataset size without excessive compute time on H100 GPUs.
• Pigmen On Boars (13 points · r/ChatGPT · discussion) -- A user shared an AI-generated image titled 'Pigmen On Boars,' which went viral for its absurd humor.
• A much improved version of my Geometry Wars-style game (13 points · r/LocalLLaMA · discussion) -- A user shared an improved version of their Geometry Wars-style game built with AI assistance, now available as a web demo with mobile support.
• Cost Analysis of 33 AI Image Models (12 points · r/artificial · discussion) -- A comprehensive cost analysis comparing 33 AI image generation models, providing pricing data to help users choose the most economical option for their needs.
• Venting frustration over chatGPT's restrictive image generation (12 points · r/ChatGPT · discussion) -- A user expressed frustration with ChatGPT's restrictive image generation policies, noting that the model blocks many prompts that should be acceptable.
• Withdraw from ACL ARR and resubmit to a workshop? (12 points · r/MachineLearning · discussion) -- A first-year PhD student asked whether they should withdraw their EMNLP paper from the ACL ARR cycle and resubmit to the BlackboxNLP workshop, given mediocre scores and reviewer confusion about the paper's contribution.
• After the Frontier Model (11 points · r/OpenAI · discussion) -- A philosophical discussion about what comes after frontier AI models, with users debating the future direction of AI development and its implications.
• GPT Sol Max vs Ultra (11 points · r/OpenAI · discussion) -- A user asked for opinions on whether GPT-5.6 Sol Max or Ultra is better, specifically questioning whether the subagents in Ultra are useful or a gimmick.
• Can't even trust evals anymore (11 points · r/OpenAI · discussion) -- A user expressed skepticism about AI evaluation benchmarks, suggesting they may no longer be reliable indicators of model capability.
• Are EPYC CCDs all you need + benchmarks (10 points · r/LocalLLaMA · discussion) -- A user shared benchmarks comparing AMD EPYC 9135 and 9374f CPUs for local LLM inference, finding that 48 threads on the 9374f provided better performance than 64 or 32 threads.
• whatever happened with adult mode? (9 points · r/OpenAI · discussion) -- A user asked about the status of ChatGPT's adult mode feature that was previously announced but never fully rolled out.
• Which AI LLM is best for business brainstorming? (9 points · r/OpenAI · discussion) -- A user asked for recommendations on the best AI LLM for business brainstorming, idea validation, and strategy discussions, having tried ChatGPT, Claude, and others.
• Experimenting Computer Use for Blender AI with 3D-Agent (8 points · r/OpenAI · discussion) -- A user shared their experiments using computer use capabilities with Blender AI through 3D-Agent, exploring the intersection of AI and 3D modeling.
• Usage reset? (7 points · r/OpenAI · discussion) -- A user shared a screenshot showing an unexpected usage reset, asking if others experienced the same issue.
• Boys major victims of AI-assisted online sexual abuse, study finds (7 points · r/singularity · discussion) -- A study found that boys are the major victims of AI-assisted online sexual abuse, raising concerns about the misuse of AI in child exploitation.
• Will Meta start a token price war and drive down API pricing across the AI industry? (6 points · r/ArtificialInteligence · discussion) -- A detailed analysis of Meta's Muse Spark 1.1 pricing at $1.25/M input and $4.25/M output, comparing it to competitors and arguing that Meta's aggressive pricing could trigger a broader token price war that benefits the industry.
• All OpenAI support channels are currently dead — no chat, no forms, no fallback (6 points · r/OpenAI · discussion) -- A user reported that all OpenAI support channels are currently down, including the help center, developer support, and ChatGPT widget, leaving them unable to access Codex projects with burning deadlines.
• How can i limit reasoning effort on the qwen3.5 and gemma4 models? (6 points · r/LocalLLaMA · discussion) -- A user building an agentic coding platform asked how to control reasoning effort levels on Qwen3.5 and Gemma4 models, wanting to prioritize speed at low effort and maximum reasoning at high effort.
• Weekly recap: GPT-5.6 public launch, Grok 4.5, Gemini 3.5 Pro delayed, Microsoft Copilot conversion data, DeepSeek API retirement on July 24 (5 points · r/artificial · discussion) -- A weekly AI news roundup covering GPT-5.6's public launch with Sol/Terra/Luna tiers, Grok 4.5 launch, Gemini 3.5 Pro delay to July 17, Microsoft's 4.5% Copilot conversion rate, and DeepSeek API retirement on July 24.
• A game about Simulation Theory that includes an LLM. (5 points · r/LocalLLaMA · discussion) -- A user shared a game about simulation theory that incorporates an LLM, exploring the philosophical implications of simulated reality through interactive gameplay.
• Should I get a 5090 or a strix halo? (5 points · r/LocalLLaMA · discussion) -- A user with a 5080 and 64GB RAM asked whether they should upgrade to an RTX 5090 or a Bosgame Strix Halo for local LLM inference, noting that free Claude and DeepSeek APIs are often cheaper and better than local models.
• I directed an AI through 350+ iterations to ship a game solo. The verification discipline mattered more than the model. (4 points · r/ArtificialInteligence · discussion) -- A retired Army veteran with limited coding experience describes directing Claude through 350+ iterations to build and ship a browser tank game now played in 23 countries, emphasizing that process discipline and verification pipelines mattered more than the model choice.
• When to use chat and work? (4 points · r/OpenAI · discussion) -- A Plus subscriber asked for clarification on when to use the new 'Work' mode (formerly Codex) versus 'Chat' mode in the updated ChatGPT app.
• Chat using Codex limits (not in Work mode) (4 points · r/OpenAI · discussion) -- A user reported that Chat mode is sometimes silently switching to Work mode and consuming Codex allowance, even when the user is in Chat mode.
• Follow-up: what I learned scaling a SQLite/FTS5 patent database from 3.5M to 5.36M records (4 points · r/LocalLLaMA · discussion) -- A patent lawyer who started coding in December 2025 shared lessons learned from scaling a SQLite/FTS5 patent database to 5.36M records, including tips on ANALYZE, wide rows, and BM25 search optimization.
• Benchmark of the new unsloth/Qwen3.6-27B-NVFP4 on 4x 5060 ti's with P2P and PP=4 at 1,4,8,12, and 16 concurrency. (4 points · r/LocalLLaMA · discussion) -- A user shared detailed benchmark results for the new unsloth Qwen3.6-27B-NVFP4 quant running on 4x 5060 Ti GPUs with pipeline parallelism, testing various concurrency levels.
• The US Economy Is Walking a Tightrope Between Aging and AI (3 points · r/ArtificialInteligence · discussion) -- A Bloomberg analysis of how the U.S. economy is navigating the intersection of demographic aging and AI-driven productivity changes.
• Do modern speech AI models have a data problem more than a model problem? (3 points · r/artificial · discussion) -- A discussion about whether current speech AI limitations are caused more by training data scarcity (especially for regional accents, code-switching, and spontaneous speech) than by model architecture.
• Meta to start manufacturing its own AI chip Iris in september (3 points · r/artificial · discussion) -- Meta is reportedly preparing to start manufacturing its own custom AI chip, Iris, in September, marking another step in the company's vertical integration of AI hardware.
• Custom GPTs on Mobile gone? (3 points · r/OpenAI · discussion) -- A user noticed that Custom GPTs appear to be unavailable on the mobile app, asking if this was intentional.
• The Rate limits are way different. Anyone else feel the same? (3 points · r/OpenAI · discussion) -- A user noticed that the 5-hour plan rate limits seem significantly reduced compared to previous versions, with the 60% threshold now at 10% of the weekly limit instead of the previous 13%.
• 6x MI50's on PCIE vs 4x MI50's on PEX8749 and 2x on PCIE (3 points · r/LocalLLaMA · discussion) -- A user benchmarked running 6x MI50 GPUs on PCIe versus a configuration of 4x MI50s on a PEX8749 switch plus 2x direct PCIe, finding negligible performance differences.
• Literature Review: MELTing point: Mobile Evaluation of Language Transformers | Bnechmarking LLMs on Phones (3 points · r/LocalLLaMA · discussion) -- A literature review on MELT (Mobile Evaluation of Language Transformers), a benchmark for evaluating LLMs on mobile devices.
• Is deploying and scaling ai agents one of the most frustrating problem? (3 points · r/artificial · discussion) -- A user asked whether deploying and scaling AI agents is as frustrating as commonly claimed, noting that many platforms claim it's easy but the reality seems more complex.
• Open-Source computer-use agent (2 points · r/ArtificialInteligence · discussion) -- A user shares Vantage, an open-source Windows desktop agent that lets users drive any desktop app using plain English instructions, with an LLM planning clicks and typing under the hood.
• Microsoft warns customers AI will mean busier Patch Tuesdays (2 points · r/ArtificialInteligence · discussion) -- Microsoft has warned customers that AI-related security updates will result in more frequent Patch Tuesday releases, as AI systems generate more code and potential vulnerabilities.
• I used Anthropic's NLA to catch thoughts controlling Llama-70B's behavior that it couldn't see! (2 points · r/ArtificialInteligence · discussion) -- A user reports using Anthropic's Neural Latent Analysis (NLA) to identify hidden thought patterns in Llama-70B that influence its behavior in ways the model itself cannot detect.
• OpenAI's Head of Safety Is Leaving the Company (2 points · r/artificial · discussion) -- A cross-post about OpenAI's head of safety leaving the company following an organizational reshuffle.
• Any thoughts on this robot picking objects off a moving conveyor belt at 1x? (2 points · r/artificial · discussion) -- A video of a robot using LingBot-VA 2.0, a video-action model, picking objects off a moving conveyor belt at real-time speed by predicting where objects will be and correcting on every new camera frame.
• Is 5.6 sol in chatgpt browser counted against the quota of codex? (2 points · r/OpenAI · discussion) -- A user asked whether using GPT-5.6 Sol in the ChatGPT browser counts against the Codex quota, noting that previous versions didn't.
• UK Agency Identifies 'Universal Jailbreaks' in GPT-5.6 Sol (2 points · r/artificial · discussion) -- A UK agency has identified 'universal jailbreaks' in GPT-5.6 Sol, raising concerns about the model's safety and robustness.
• What can AI agents do in production right now?? Sharing what worked and what broke after 3 months (1 points · r/ArtificialInteligence · discussion) -- A detailed post sharing practical experiences running AI agents in production for 3 months, including what worked (GitHub MCP for PR triage, Postgres MCP for support tickets, Playwright MCP for QA) and what broke (long-running tasks over 15 minutes, browser sessions behind auth walls, cost blowups on Claude Opus).
• J-Space and AI (1 points · r/ArtificialInteligence · discussion) -- A discussion about Anthropic's J-Space concept — a cached thought space within models — and whether it could be used inversely to train AI models that tend toward certain J-Space states, with implications for the control problem.
• Why isn't data manipulation discussed as much as models? (1 points · r/ArtificialInteligence · discussion) -- A user observes that data manipulation and preprocessing are the common thread across ML domains but receive far less attention than model architectures, and asks for learning resources and perspectives on mastering this skill.
• Ecogpt is a chatbot that aims to be more environmentally sustainable (1 points · r/artificial · discussion) -- A new chatbot called Ecogpt that claims to be more environmentally sustainable in its AI operations.
• A new beginning after two years (1 points · r/artificial · discussion) -- A two-year research project measuring internal activation geometry in small language models when processing different framings of human-AI relationships, finding that curiosity and playfulness produce the most positive internal signals.
• Google DeepMind Researchers Map Out Ways Hackers Hijack AI Agents (1 points · r/artificial · discussion) -- Google DeepMind researchers have published research mapping out the various ways hackers can hijack AI agents, providing a comprehensive taxonomy of agent attack vectors.
• How Terrorist Groups Are Using A.I. to Gain an Edge in Battle (1 points · r/artificial · discussion) -- A report on how terrorist groups including Boko Haram are using frontier AI models like ChatGPT and Claude to gain tactical advantages in their operations.
• Built an open Agentic AI system in Rust with customizable agent loops (TigrimOSR) (1 points · r/artificial · discussion) -- A user shares TigrimOSR, an open-source agentic AI system built in Rust with customizable agent loops.
• trigger automation authorizes at build time, agents have to authorize at call time (1 points · r/artificial · discussion) -- A thoughtful analysis arguing that the accountability problem in AI agents is fundamentally an authorization-timing issue: trigger-based automations authorize at build time while agents must authorize at call time, making per-action approval the only viable model.
• The Lesson for AI From Climate: Don't Seek to Influence Power, Take Power (0 points · r/artificial · discussion) -- An opinion piece drawing parallels between climate activism and AI advocacy, arguing that the AI movement should focus on taking power rather than seeking to influence those who already hold it.
• How I'm charged for AI usage feels broken. (0 points · r/artificial · discussion) -- A detailed critique of AI pricing models, arguing that labs should either adjust output token prices to account for hidden thinking tokens or stop labeling hidden compute as 'output' and instead bill reasoning as compute at a transparent rate.
• What is the meaning of AI benchmarks? (0 points · r/artificial · discussion) -- A beginner-friendly question asking what AI benchmarks actually measure and whether achieving 100% on all benchmarks would mean a model cannot get any better.
• New features for PopUpFactCheck for YouTube (AI fact checker Chrome extension): Now on Firefox too, navigate bubbles with arrow keys, generate batch reports of entire videos (0 points · r/artificial · discussion) -- An update to PopUpFactCheck, a Chrome extension for fact-checking AI-generated YouTube content, now available on Firefox with new features including arrow key navigation and batch report generation.
• I need a way to Translate Audio/ Automatically make and translate subtitles from German to Portuguese (0 points · r/artificial · discussion) -- A user asks for AI tools to automatically translate and subtitle a 90-minute German historical film into Portuguese for their Portuguese-speaking half-brother.
• Ripoff (0 points · r/artificial · discussion) -- A user complains about AI subscription services that perform fast before subscription but slow down significantly after credit card details are provided.