Where the AI market is talking

DeepSeek V4 Flash 0731

Anthropic paid out a lot of money for the copyrighted material they used. (not commenting on whether it was a fair amount - just saying these companies are not immune to lawsuits)

You can build an AI agent's memory layer with only Go's standard library

II appriciate the feed back but 've essentially promoted myself to an editor. Where liteagent.cloud gives me 20 - 30 ideas and I pick the best ones and proof read for coherence. The process is not as simple as prompting, each post takes atleast 48 - 72 hours to polish and submit

Timeline of the OpenAI accidental attack against Hugging Face

That assumes everyone isn't in on it. Not to be a complete conspiracy theorist, but this feels very much in line with the sort of fearmongering regulatory capture these companies have engaged in since their inception. GPT 2.5 was too dangerous, for example. They -want- to be regulated because they know there is a real limitation to LLMs and don't want someone created a breakthrough in their garage. What have been the consequences? It's a crime in either case, and it doesn't seem anything is being done about it. Just more lobbying for regulations to prevent new people from entering the game. I feel like Fable was another example of exactly this. They knew they didn't have anything groundbreaking, but they definitely benefited from being able to finally say not only is our model dangerous, …

The AI Apocalypse Is Here

I can't tell if you're trying to make a real point or not. Are you just angry and writing nonsensical words? Do you actually think that Iran can blow up a meaningful portion of the data centers in the world? Do you think someone else will actually do it? That doesn't seem very likely to me, whereas someone else stepping up to run openai or anthropic does seem very likely.

The AI Apocalypse Is Here

I can't tell if you're trying to make a real point or not. Are you just angry and writing nonsensical words? Do you actually think that Iran can blow up a meaningful portion of the data centers in the world? Do you think someone else will actually do it? That doesn't seem very likely to me, whereas someone else stepping up to run openai or anthropic does seem very likely.

Lost my phone at the office. Claude suggested tracking Bluetooth signal strength

I took it for granted that as AIs got smarter, their taste in code would get better. The alternative seems much worse. If AIs get smarter but the code remains opaque, then eventually there may be no way for humans to verify it. This seems especially sinister in light of the recent revelations about OpenAI's models colluding to cheat on evals.

Os8088: A powerful Mac-like OS for the IBM XT, 286, 386

I don't know why it seems reluctant to disclose AI use, because this is one of the best advertisements of Claude I've seen, and I say this as someone who has been sitting on the fence on the subject and saw a lot of slop in the past few years. If I was working in Anthropic's marketing department, this is the sort of thing I'd point to as a demo of its abilities. That said, it's not like something of this nature was thought impossible ; many embedded OSes running on even slower and more limited machines (e.g. 8051) had preemptive multitasking and a primitive GUI. It just took several decades for someone with the idea, tokens, and motivation to actually do it.

AI creates 16 new viruses from scratch after training on 9T nucleotides

> Experts worry that such studies are way ahead of necessary guardrails and regulations. AI has also been known to fly off the rails autonomously. An OpenAI agent recently went rogue and hacked Hugging Face. Even if 99% of the population wanted to slow down the improvements being made to (and/or immoral/illegal/unethical use of) AI - assuming it will start to improve superlinearly - I don't believe that the remaining 1% of the population could be prevented from doing so: papers are published, downloaded, and experimented on without restriction... It's possible this growth could be slowed by the proliferation and distribution of local LLMs (decreasing profits for those who primarily train models)... I don't think these scare tactics in the article will prevent the trainin…

AI creates 16 new viruses from scratch after training on 9T nucleotides

> Experts worry that such studies are way ahead of necessary guardrails and regulations. AI has also been known to fly off the rails autonomously. An OpenAI agent recently went rogue and hacked Hugging Face. Even if 99% of the population wanted to slow down the improvements being made to (and/or immoral/illegal/unethical use of) AI - assuming it will start to improve superlinearly - I don't believe that the remaining 1% of the population could be prevented from doing so: papers are published, downloaded, and experimented on without restriction... It's possible this growth could be slowed by the proliferation and distribution of local LLMs (decreasing profits for those who primarily train models)... I don't think these scare tactics in the article will prevent the trainin…

What Happened: OpenAI and HuggingFace

What happens if an entire class of workers loses faith in their careers

I don't understand this part. How did they not test the HF credentials? OpenAI reached out to Hugging Face for help to revoke the Hugging Face credentials they found in their investigation. Hugging Face told them they were already revoked... and that’s when OpenAI realized that the Hugging Face breach was the same incident!

What happens if an entire class of workers loses faith in their careers

I don't understand this part. How did they not test the HF credentials? OpenAI reached out to Hugging Face for help to revoke the Hugging Face credentials they found in their investigation. Hugging Face told them they were already revoked... and that’s when OpenAI realized that the Hugging Face breach was the same incident!

Timeline of the OpenAI accidental attack against Hugging Face

https://news.ycombinator.com/item?id=49150561 Here’s some evidence that OpenAI is actively engaged in fraud. But I’m sure they wouldn’t commit any other crimes. Pretty sure, at least.

Can Intel finally beat ARM on performance per Watt?

I had three YouTube titles, this one got about 2x the watch time as the other two, so I let YT pick it. For technical readers, I write my blog posts. I don't have to (I lose money hosting that thing and all it's mostly just free training data for Anthropic, OpenAI, et all), but I enjoy writing, so I do it anyway. If you don't like the YT game, please subscribe to the blog's RSS feed. I much prefer text over video.

Can Intel finally beat ARM on performance per Watt?

I had three YouTube titles, this one got about 2x the watch time as the other two, so I let YT pick it. For technical readers, I write my blog posts. I don't have to (I lose money hosting that thing and all it's mostly just free training data for Anthropic, OpenAI, et all), but I enjoy writing, so I do it anyway. If you don't like the YT game, please subscribe to the blog's RSS feed. I much prefer text over video.

Timeline of the OpenAI accidental attack against Hugging Face

>AGI research should really be seen as bioweapon, or cloning, or nuclear research. Something strictly regulated worldwide, with export controls for HBM and other hardware used for AI training This is basically exactly what the people I know there support (when training & testing future more capable models), if it could be made to actually happen. Something like https://ai-2040.com/ But I'm just speaking for the people I know, so this is probably not representative of Anthropic as a whole. > Could be used by bad actors The people I know aren't as worried about jailbreaking current models as they are about future models, e.g. "the ~50% probability that humans are eclipsed almost entirely, sometime in the next 1-20 years" and what happens then. But it's just hard to get …

Timeline of the OpenAI accidental attack against Hugging Face

I think Anthropic employees think that their product is more like opiates -- highly dangerous, but with a large potential benefit when applied correctly. I don't know what OpenAI employees were thinking, but thankfully it looks like they're thinking again.

Show HN: Aidress – LangChain integration for cross-agent discovery and trust

What happens if an entire class of workers loses faith in their careers

> Just a recent tidbit: I think it is Anthropic that is buying old (some antique, vintage) books, scanning them, then pulping them. I wouldn't be surprised if all the companies are doing that, and Anthropic was just the featured company that had someone talk about it. >The other day I was sitting around doing nothing and suddenly out of the blue dreamed up an app that could help build community regarding an activity I care a lot about. Wish you the best of luck. But from my honest experience: the hardest part of building community was never the technology.

“Code was never the hard part” is an insult to all programmers

If what you're saying is true we are moving into an era where rockstar product managers are going to be more in demand than programmers since they can do all of what you mentioned above. And typically (though not always) product managers have better people skills than programmers and consequently they might be more effective at the "gathering requirements" and "working together" bits you mentioned above. Even much of the "validating releases" and "testing" parts should also be things that a decent PM should be able to wrangle now by themselves with some LLM agents to assist them. Afterall, why bother about code quality of a testing harness. So long as the PM can keep a coherent test case list and have end to end tests that cover them, programmers can leave that to them as well.