Where the AI market is talking

Israeli startup was linked to rogue AI hacks at OpenAI, Anthropic and Meta

70% of AI revenue comes from OpenAI and Anthropic

70% of AI revenue comes from OpenAI and Anthropic

Message your other Claude Code sessions

It's Claude code talking to another Claude code. They're both already leaking your data to Anthropic in the first place.

Message your other Claude Code sessions

You can have Codex access Claude’s conversations trivially. The other way around not so much as OpenAI locks everything server side.

Ask HN: Do you use LLMs for non-coding related work?

LLMs are very good at code. We can argue on the merits of their other qualities, but we can all agree on that. However, code is a very small section of 'work'. OpenAI, Anthropic, Kimi, etc. all market "work assistant" products that are supposed to handle that other sections. Are y'all using any of these products voluntarily? How do you use it? What do you like and what can be improved? I understand I am sounding like a survey, but I am genuinely curious. I don't see how you can fit them in any organization without causing undue chaos.

Ask HN: Do you use LLMs for non-coding related work?

LLMs are very good at code. We can argue on the merits of their other qualities, but we can all agree on that. However, code is a very small section of 'work'. OpenAI, Anthropic, Kimi, etc. all market "work assistant" products that are supposed to handle that other sections. Are y'all using any of these products voluntarily? How do you use it? What do you like and what can be improved? I understand I am sounding like a survey, but I am genuinely curious. I don't see how you can fit them in any organization without causing undue chaos.

Improving GPT‑5.6 Sol in ChatGPT, expanding GPT‑5.6 Luna access for free users

>OpenAI isn't profitable even if you discount R&D entirely. They have a billion weekly active users, almost all free (Not Google search free. Free free) with about ~50M subscriptions. Of course they're not profitable even without R&D. Low cost isn't no cost. Take away the huge R&D and they become hugely profitable with a robust ad business like Google Search. >If ads were the solutions for profitability these companies would have used ads as their source of income from the very beginning. You've said this a couple times and it doesn't make any more sense the more you say it. Just admit you're wrong about inference costs and move on.

_for-sale DNS records

Yes. For some reason OpenAI is now spamming HN.

Timeline of the OpenAI accidental attack against Hugging Face

It really irks me that if a student or intern did this they'd be facing charges and OpenAI gets to just brag instead

Hyper-Markdown – Markdown for knowledge graphs

I'm all in favour of Markdown with more capabilities, but this isn't a useful project. Generated docs like this are worse than gibberish--they take far longer to parse, and there's no way of knowing if any one sentence is actually meaningful or correct. There are definitely some places where the docs aren't coherent, but those are (ironically) the best bits: you can verify quality immediately. With meaningful documentation, I could be tempted to use this. As it is, this reads worse than a Markov chain (which is at least obviously nonsense) and makes me extremely skeptical of the project's quality or use.

Muse Code Sends Codex and Claude Instructions to Meta by Default

Codex can read a CLAUDE.md in a workspace or when configured to treat it as an instruction file. This test concerned Muse automatically loading personal files from ~/.codex and ~/.claude outside the selected workspace and sending their contents in the first provider request. A file stored in ~/.claude was written for Anthropic. A file stored in ~/.codex was written for OpenAI. Muse treats the existence of those files as permission to copy their contents to Meta. It displays a notice and provides an opt-out, but never asks before sending them. That cross-vendor assumption is the privacy issue.

Muse Code Sends Codex and Claude Instructions to Meta by Default

Codex can read a CLAUDE.md in a workspace or when configured to treat it as an instruction file. This test concerned Muse automatically loading personal files from ~/.codex and ~/.claude outside the selected workspace and sending their contents in the first provider request. A file stored in ~/.claude was written for Anthropic. A file stored in ~/.codex was written for OpenAI. Muse treats the existence of those files as permission to copy their contents to Meta. It displays a notice and provides an opt-out, but never asks before sending them. That cross-vendor assumption is the privacy issue.

DeepSeek V4 Flash 0731

I would love to be shilling for Anthropic, but I am not. I am part of a group of about 30 developers, and 80% of them are using Fable 5 and very sold on it, with the remainder being committed to Sol. Both are competent, but among our set (who will try anything), Fable 5 is definitely winning. The fucking refusals for security work are insane though, and I hate them. I use Sol and Grok 4.5 as my inline debuggers/reviewers, and both do well, and are decent at token save. DeepSeek V4 Flash 0731 found some interesting bugs when I tried it a few days ago, and I'm curious to see if that also joins the code-review line up

Show HN: Sous.bio – your sous chef in the lab

Recording science is a huge bottleneck. In my previous role at a synbio start-up, there was so much we want to do with result --data driven decisions on experiments, analysis on yield from experimental params, -- but could not as collecting coherent data was hard. The data schema was hard to design, legacy lab instruments was hard to pipe data through, and there's no immediate value to provide the scientists themselves. Sous is an AI-enabled platform to accelerate this process and allow scientists to focus on the science. We are currently focused on the SynBio domain but our mission is to help make science more efficient! Love to connect if you are interested.

Muse Code and Muse Spark 1.2

But you trust Anthropic not do that?!

Microsoft Word for Windows 1.1a, Native X64 Port

>This project is a fully working native Windows x64 port of Microsoft Word for Windows 1.1a, whose historical codename was Opus. Not to be confused with the Anthropic LLM model Opus - what was once an old codename is as good as new once again!

Timeline of the OpenAI accidental attack against Hugging Face

Anthropic also did that right after OpenAI-HuggingFace event. "Mom, brother is getting all the PR candies! I want some too!"

Timeline of the OpenAI accidental attack against Hugging Face

Anthropic also did that right after OpenAI-HuggingFace event. "Mom, brother is getting all the PR candies! I want some too!"

Timeline of the OpenAI accidental attack against Hugging Face

Anthropic also did that right after OpenAI-HuggingFace event. "Mom, brother is getting all the PR candies! I want some too!"