Where the AI market is talking

7.1 Earthquake in Japan

Electrical is inadequate power delivery-wise and requires completely different cookware to the point that it's a different cuisine. For example to replicate a gas burner you have to have above 15KW continious power. Good luck wiring that into your apartment, or feeding this with local solar. Or even finding an induction stovetop that won't melt its insides in a year or two at a measly 5KW.

AI revenues are growing fast, but not fast enough

You really see the first mover disadvantages in US AI labs. And how second movers (open Chinese labs) can disrupt them. First movers tend to get overcapitalized and way ahead of their skis. You saw a smaller version of this in the vector database market (remember that?) where companies like Pinecone were getting billion+ valuations for capabilities which now seem like a commodity. There's vector DB companies now with much less debt / VC obligations that don't need to clear insane revenue levels to justify investment.

Fast Remediation Is the New Trust Model (JFrog and OpenAI Zero-Day Findings)

So they are the proxy in the hugging face hacking incident? Way to bury that lede.

The Drift Principle: Coherence is not contact [pdf]

Hugging Face is being used to easily undress women and children

Hugging Face Has a Deepfake Nudes Problem

We have proof automation now

Proof automation will make things a lot easier. I'm not entirely sure that it's the only thing required, but it's a big part of the thing required. What's more interesting to me is, how do we prove that the business intent is accurately encoded in the code? This is a different problem. Not "is the logic internally coherent," but "is the logic going to give us what we want?" And how do we make sure that the logic keeps giving us what we want, iteration after iteration? I've open source a tool, Drift, for this purpose. So far, biased and anecdotally as its builder, this has been the missing layer. It works because the spec is treated as a duplicate of the code, written and committed in the repo and kept in sync with hashes. The LLM then checks for diffs manually. There are ways to use perpl…

Did AI Hack HuggingFace?

LiveOverflow posted this video on YouTube attempting to reverse engineer the potential exploit chain GPT used to hack HuggingFace. The title is the original one on YouTube. Original description from the video: An OpenAI agent reportedly escaped its sandbox, found multiple zero-days, and hacked Hugging Face... all to cheat on a cybersecurity benchmark? The story sounded almost too crazy to be true. Mohan (S1r1u5) investigated and reconstructed the likely attack chain, examined the patches, and reproduced vulnerabilities that match the public disclosures. Was this really a rogue AI, clever marketing, or "just" an agent that lost track of its task and caused real-world damage?

What Even Are Microservices?

This is what people always say but it's not really the only case, and it's not even a particularly good case. You could achieve the same organizational thing through modules, for example. The real—and the one thing you can't replicate—is data isolation. Of course there are other benefits, but it's data isolation is the differentiator of micro-services and other types of architecture.

Hugging Face CEO shares his demands of OpenAI after 'rogue' agent hack

Our position on open-weights models

I case you're wondering, HF = Hugging Face

Our position on open-weights models

The way this reads, it seems like it was written for US lawmakers. > the CCP is clearly the most capable threat—build AI models that are more powerful than those built by the US, and use them to achieve permanent military superiority or perpetrate incredibly deep repression of their own people. This comes off a bit hypocritical, coming from one of the men responsible for the models most likely to be used by the US military, and for repression of US citizens. > We should crack down on industrial-scale distillation operations ... We should have policy interventions to deter this behavior. How exactly would you design policy interventions to stop distillation? If Anthropic wants to make their products available around the world, you would need some kind of global regulation to curtail …

Ask HN: How to rewrite `Claude.md` and install the skill for Opus5 and Fable5

Thanks; the issue likely stemmed from the translation software used previously. I’ve seen many people online mention that removing skills like "superpowers" reduces token consumption and shortens completion times. I also read that Anthropic removed over 80% of the system prompts for Claude Code. I’m interested in finding out how to adjust `claude.md` and the installed skills to better optimize performance for the Opus 5 and Fable 5 models.

Ask HN: How to rewrite `Claude.md` and install the skill for Opus5 and Fable5

Thanks; the issue likely stemmed from the translation software used previously. I’ve seen many people online mention that removing skills like "superpowers" reduces token consumption and shortens completion times. I also read that Anthropic removed over 80% of the system prompts for Claude Code. I’m interested in finding out how to adjust `claude.md` and the installed skills to better optimize performance for the Opus 5 and Fable 5 models.

Tell HN: Our paid Claude AI subscription unavailable >1 week and no support

Dear all, our team is using a Claude AI Team plan for more than 1 year already: - we are a normal company, doing normal business, nothing critical - all our bills are paid and we can see them as paid - nontheless, the service is not available for more than one week to us Question: - any other idea to reach out to them than their "Fin AI Chatbot" at support@anthropic.com? - did anybody else had the same experience? If yes, what helped to solve it? Its really frustrating :-( (especially since some people built their interal workflow around Claude, now they are somehow stuck)

Our position on open-weights models

OpenAI is in a way worth situation financially speaking, with a ridiculous amount of spending commitment, would be really strange to merge with it

Our position on open-weights models

Clown. I switched from openAI to anthropic because OAI were the bigger clowns in the industry and didn't want to support them, anthropic seemed like the better alternative that didn't cooperate with governamental shenanigans and actually focused on building a better product. But now they are both clowns and anthropic is reaching a ceiling on quality. I'll jump ship as soon as I find a good subsidized Chinese model provider. US companies only path forward is to become retarded instead of competitive.

Our position on open-weights models

Clown. I switched from openAI to anthropic because OAI were the bigger clowns in the industry and didn't want to support them, anthropic seemed like the better alternative that didn't cooperate with governamental shenanigans and actually focused on building a better product. But now they are both clowns and anthropic is reaching a ceiling on quality. I'll jump ship as soon as I find a good subsidized Chinese model provider. US companies only path forward is to become retarded instead of competitive.

Kimi K3 Now Available via Telnyx Inference API

In my first interaction ("hi there kimi k3!"), Kimi K3 identified twice out of three times as Claude: > Hi there! Quick note — I'm actually Claude, made by Anthropic, not Kimi. But no worries! https://imgur.com/a/jqpc2Jc and > Just a quick heads-up — I'm Claude, made by Anthropic, not Kimi! Kimi is a different AI assistant (made by Moonshot AI), so it looks like there might be a little mix-up. https://imgur.com/a/AKxeysH

Our position on open-weights models

It really barely matters. Even if the US closes itself of for Chinese models; Europe won't. The rest of the world won't. Even a completely closed US economy would not merit the current valuations Antrophic and OpenAI have.