Where the AI market is talking

Meta Muse Glimmer – open weights 30B local coding model

I don't understand the desire to run own AI models for programming locally. No laptop is ever going to be as powerful and energy efficient to run anything close to OpenAI, Anthropic or Google models. A model you can run on a loptop is simply not going to work as well as it's needed for programming. Small models for linguistic work fine, but anything more sophisticated simply won't provide enough resources or power. Or models would need to be significantly dumbed down - then why use them at all? So far the idea of carrying a "thin" or "thin"-like device looks more reasonable to me, while running AI on your own server.

Show HN: Voice driven murder mystery, Interview AI suspects with your voice

Hiiiii, i would appreciate your feedback now that I resolved the openai issue. I think you will be surprised. I was!

Show HN: Voice driven murder mystery, Interview AI suspects with your voice

I have no idea how to do that, but yes, as someone else noted, OpenAI might!

Show HN: Voice driven murder mystery, Interview AI suspects with your voice

OpenAI credits ran out! Resolved!

Show HN: Voice driven murder mystery, Interview AI suspects with your voice

Oops, ran out of OpenAI credits

Show HN: Voice driven murder mystery, Interview AI suspects with your voice

Ran out of OpenAI credits, resolved now

Show HN: Voice driven murder mystery, Interview AI suspects with your voice

Sorry! Ran out of OpenAI credits, resolved now

Managing AI Coding Costs at Scale

Currently the bad quality of architecture and holistic view of models is probably explained by the fact that the models just cannot do it. Free markets and China will make sure of that, kind of. In reality Claude and Codex are better and provide much better tooling, so not much competition from free markets and self-hosted models from China, I think. Then when competition really settles to monoploy or duopoly, like it always does in bigtech, it is really difficult to prove Anthropic and OpenAI enshittify their models. Same with Opus 4.6, that suddenly was worse when 4.7 came out.

Managing AI Coding Costs at Scale

Currently the bad quality of architecture and holistic view of models is probably explained by the fact that the models just cannot do it. Free markets and China will make sure of that, kind of. In reality Claude and Codex are better and provide much better tooling, so not much competition from free markets and self-hosted models from China, I think. Then when competition really settles to monoploy or duopoly, like it always does in bigtech, it is really difficult to prove Anthropic and OpenAI enshittify their models. Same with Opus 4.6, that suddenly was worse when 4.7 came out.

What Happened to HackerOne?

I've disclosed vulns across just about every industry — banking, healthcare, oil & gas, government, cybersecurity, etc -- and to some of the largest companies in the world, OpenAI, Salesforce and Google. I've been doing this for nearly 20 years. Most of my research starts with: _There is absolutely no way this works_. Then it works. I've been thinking that a lot more lately. Companies and hackers are both heavily incentivised to reduce the friction involved in vulnerability disclosure, particularly for large organisations. The platforms are good enough now. They're email in 2007: imperfect, occasionally frustrating, but substantially better than what came before. They make SLAs possible. They provide structure and administration. Things still go wrong — companies stop responding, analysts…

Show HN: Voice driven murder mystery, Interview AI suspects with your voice

Hi everyone!!! Thanks so much for the support. I launched this at midnight prior to logging off and going to bed, funnily enough a massive storm hit us around 3am and I woke up and noticed my OpenAI account failed to fund lol. So we ran out of funds and it caused things to break for some of you. Just waking up here on the East coast, once my daughter is occupied I will try to answer more of your comments!

OpenAI tightens controls on its new model over cybersecurity risks

Docker Sandboxes – Disposable, isolated sandboxes for AI agents

yeah, I actually just re-use claude-code .devcontainer: https://github.com/anthropics/claude-code/tree/main/.devcont... I especially like the firewall it has.

The OpenAI and Hugging Face breach story told from the perspective of the AI

The OpenAI and Hugging Face breach story told from the perspective of the AI

Auto mode is now the default in Claude Code

I've tried this, and it is largely what I do, but it's easy to end up with a large tangled pile of markdown files, and the implementation either diverges from what's in markdown or you burn a lot of tokens keeping them in-sync. The plans usually end up very long and verbose, and in my most vibe-y test project I stopped even reading them myself and instead just ask questions interactively. e.g. "what are the remaining unanswered design decisions", "which part is jankiest". It does work quite well although I don't know how I feel about it. P.S. to any anthropic staff: The "chat about this" option in Plan mode is useful but also annoying. When I select it I want to take the next turn of the conversation myself, I don't want it to waste time "thinking" just for it to verbosely ask me what I w…

ChatGPT starts blocking direct requests to copy an author's style

I think the important part of books is the knowledge in them. Not the binding or anything else physical. With some exceptions of course and sure there are things to be learned about physical attributes that don't translate to the digital version, but 95% is in the content. > If Anthropic subsequently released the digitized version of it we’d be having a different discussion, but for obvious reasons they’re not. I don't think you can scan books and just release a pdf. Someone correct me if I'm wrong. Even if you can, I'm sure it's a gray legal area.

New Amazon Data Center Is Set to Have the Most Polluting Power Plant in the U.S.

Who knows.? You’re not wrong that an average person would be in trouble with the law if they took even remotely the same action. One could also ask where’s the EPA, since they openly acknowledged laws were being broken back in January. [1] But xAI has added more turbines since it started years ago, and the water recycling plant is paused [2]. As for doing something about all of this, I suspect it’s even less likely now that Anthropic is using it for compute [3]. 1. https://www.reuters.com/world/americas/pollution-musks-unper... 2. https://wreg.com/news/local/xai-memphis/xai-puts-water-recyc... 3. https://x.ai/news/anthropic-compute-partnership

Auto mode is now the default in Claude Code

The agent decides what it "needs" to read - not the intention behind the prompt you gave it. A failed SSH connection to a staging server for example, can trivially make it look into .ssh to try to diagnose it. And many other ways, including prompt injection. https://www.reddit.com/r/ClaudeAI/comments/1q7dszm/claude_al... https://github.com/anthropics/claude-code/issues/31566 https://github.com/anthropics/claude-code/issues/14485 https://grith.ai/blog/your-ai-agent-has-broad-access

Windows 11's built-in Weather app wastes more than 1 GB of RAM

“aren't truly using a fully shared memory pool” I think with AMD iGPUs I have here (GCN 5.1 and RDNA3 generations) it’s actually unified, at least on Windows 10. The difference between the reserved portion and the rest of the memory is cosmetic. From Vulkan API POV, the reserved portion has device local and multi instance heap flags, the main heap doesn’t. However, the memory type is identical across all heaps, all of them have device local, host visible and host coherent property flags. And I can confirm VMA library from Vulkan SDK successfully allocates way more device visible memory than the size of that reserved portion.