Where the AI market is talking

GPT 5.6 Cyber

> We couldn't start verification. You may not be eligible for this verification flow right now. Please try again later, or contact support if you think this is a mistake. > POST /backend-api/compliance/cyber_verification/persona/inquiries > 403 cyber_verification_precheck_failed All I did was open and close the Persona tab. Even Anthropic accepted me into their cyber program.

Mark Zuckerberg attacks 'closed' AI rivals as Meta returns to open models

That reads like it was written by a PR company, or at the very least by a team of professional speechwriters. It has all the tells of political rhetoric. I have zero faith that Zuckerberg went anywhere near these words. It's possible he may not even have set their general direction, beyond "We need a distraction from our court cases. Something that will harm OpenAI and Anthropic would be great."

How Claude marks AI-generated content

People with dyslexia and dystrophia, commonly use LLMs to proofread content. Even Anthropic admits this is a limitation.

How Claude marks AI-generated content

It could also partly be a byproduct of examples of claude writing being in the dataset, which of course anthropic has lots and lots of and they do train on.

How Claude marks AI-generated content

I don’t like the idea of hacking a response to contain a watermark. I also don’t like the idea of false positives detections coming directly from Anthropic. If people read more AI generated content, people will probably start writing more in that style

How Claude marks AI-generated content

I have had a hunch for a while now that (in addition to these tools), Anthropic has actually leaned in to Claude's distinctive manner of writing since it makes the text more obviously AI generated and thus less susceptible to misuse. That's not necessarily the same thing as a markov-style fingerprint but it could be a correlated factor.

Docker Sandboxes – Disposable, isolated sandboxes for AI agents

Wouldn't say 'better' alternative, but I worked on making my own setup that I can trust by implementing a pi extension that leverages smolvm and agent-vault. The VM tooling is controlled by nix flakes. I can't share the source code (developed on company time), but I have a 'spec' of the whole thing, which you should be able to feed to your agent to replicate - https://gist.github.com/mahalel/c4e984292ff90bd4e11269555158...

Auto mode is now the default in Claude Code

>couldn't replicate nearly as easily by manually modifying open source. (I'm sure I could do it by starting with open source and using an LLM to make changes, and in other cases I have done exactly that, but at that point I don't really see the conceptual difference -- I'm still getting an LLM to write code and then repeatedly running that code Yes, that's what I meant, vibecoding something that uses existing software, not manually using open source stuff. It doesn't even need to fork or modify code. >at that point I don't really see the conceptual difference -- I'm still getting an LLM to write code and then repeatedly running that code I do agree, it's a subtle difference, about importing higher level dependencies vs building on top of low lever abstractions and writing everything…

Mark Zuckerberg attacks 'closed' AI rivals as Meta returns to open models

> The Kimi K3 'weights' are an opaque blob that can only be used by contract. Have you looked at the contract? There are zero conditions unless you've broken $20M in revenue with their model. It doesn't even forbid distillation, lol > Soon you will sing songs for the freedom Xi has given us when you read a declaration of 'open weights' ... for a model so huge it takes a nuclear powered data center to run and crashes the Hugging Face servers when it is uploaded. Releasing a big open-weights model is... le bad? Am I understanding you correctly? There are small models out there if you want them, you know.

Timeline of the OpenAI accidental attack against Hugging Face

Not just cyber, but apparently the message board stuff started with regular training and evals. It was a cyber test where HuggingFace got hacked, but all this other stuff was going on under OpenAI's nose for quite a while before that.

CEO Just Fired 500 People Because He Says Zillow Is More Efficient Without Them

I made a single, coherent argument. If you're seeking cost savings, he's a 14M liability, and easily replaced at lower cost.

Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

I was able to use rope/yarn scaling with llama.cpp to extend the context window to 256K and it seems to be pretty usable on the debugging-and-bugfixing session I have that’s 216K tokens deep. No infinite output loops, reasoning is still coherent, tool calls appear to be passing and failing at roughly the same rate as a fresh context window. Haven’t tried going to 512K or higher yet but 256K definitely seems usable to me on a single Radeon R9700. I added these arguments to my llama-server call, using the official GGUF release from Meta’s account on HF. `--rope-scaling yarn --rope-scale 2 --yarn-orig-ctx 131072 --override-kv muse-glimmer.context_length=int:262144,dflash.context_length=int:262144`

Why Can't You Pack a Bag? (2024)

I tried layering when I traveled somewhere cold, where the high was just above freezing. I felt foolish whenever I went indoors and had to peel off three or four layers in order to feel comfortable. The next time I went, I brought a proper winter jacket. When I was indoors, I took off my jacket. It was simpler and more comfortable, both outdoors and indoors. You cannot replicate a winter jacket with a rain shell and a bunch of layers. The Bay Area has a lot of microclimates but none of them are really cold nor hot or humid.

Mark Zuckerberg attacks 'closed' AI rivals as Meta returns to open models

The price of Kimi K3 is 'monopolistically' determined by contract with Moonshot. The weights are nominally on Hugging Face but can only be provided under contract with Moonshot, which specifies what the price can be. So it will be with the next Alibaba behemoth and, I would think, all others forever. Soon you will sing songs for the freedom Xi has given us when you read a declaration of 'open weights' ... for a model so huge it takes a nuclear powered data center to run and crashes the Hugging Face servers when it is uploaded. The Kimi K3 'weights' are an opaque blob that can only be used by contract.

Learning more about Claude's mathematical capabilities

> Throughout this process, Jarred's input was mostly limited to sending Claude messages of encouragement (mostly variants of “keep going” or “believe in yourself”). This seems to have helped Claude overcome some initial skepticism that it could make meaningful progress. while :; do echo "You can do it!"; done | claude -c I had a similar experience a few months ago. Tried to see how much I could replicate an OpenClaw with Claude. Asked it what the weather is. "I don't know, I'm just a programmer." Added "You can do anything, believe in yourself." to the system prompt and suddenly it was able to tell me the weather...

Auto mode is now the default in Claude Code

Thanks, I think I understand your point better now. In this case, though, you are wrong about both my intentions and the relative practical value of the two approaches (to me). I'm not doing this to take creative or intellectual credit in any external way; you're right that there is some degree of increased personal satisfaction (which I don't see as a problem, as long as it doesn't crowd out more wholesome ways of 'earning' that satisfaction), but I'm not kidding myself about what I've actually done here. I also write my own code for fun/creative expression/intellectual stimulation/showing off, but that's a separate thing and there's not much crossover between the two types of project for me. And the end products really are useful to me in a way that I couldn't replicate j…

DeepSeek costs OpenCode Go user $1.14/day; dual DGX breaks even in 24 years

I ran a popular gen AI audio website on them as an on-prem GPU cluster. 6.5M MAU with $650k ARR at peak. Half the inference happening locally. We got destroyed by bigger players (ElevenLabs, Suno, and more recently Fish) that fundraised and had better in-house models. It was a headache to run, I wanted to pursue a different market (video/creative), and I pivoted. My pivot failed and was dead for over a year as I went too far into controllability. One of my changes then got a semblance of PMF and it's doing $4M annualized run rate (but it's not fundable in its current shape). I ultimately want to build open source cloud infra and open source workflow products - more friendly than Comfy, more free than RunPod. In any case, I can't run my current work on the GPUs. But I'm close enough t…

Show HN: Ante, a coding agent in a single binary that runs offline

Hi HN, I'm Mohan from Antigma Labs. Ante is a coding agent that ships as one self-contained ~15MB binary: the TUI, an embedded ripgrep, local PDF/OCR, and a natively managed llama.cpp engine are all inside. No runtime dependencies, no node_modules, no account. - Ante installs a pinned, checksum-verified official llama.cpp build matched to your machine (Metal on Apple silicon; CUDA, Vulkan, or CPU on Linux) and handles upgrades when the pin changes. - It discovers GGUF files already on disk (~/.ante/models, the llama.cpp and Hugging Face caches), attaches to llama servers already running on local ports, and estimates RAM/VRAM from model size and context window before anything loads. - `ante --offline-model /path/to/model.gguf "prompt"` boots the server, r…

OpenAI / Hugging Face Hack

How I use LLMs to learn complex topics

Your comment is phrased as if it somehow refutes their point but it doesn't. > Cause if you went back and forth with ChatGPT for an hour it definitely hallucinated and lied to you at some point. If you're asserting that this is not the case today then that's going to be require pretty extraordinary evidence. "Chatbots use Google now" is not evidence that the information they provide is in fact correct. They don't hallucinate all the time like they used to, no, but I'd be very surprised if the majority of these sorts of conversations were free of major factual errors. I frequently notice degradation in the model model's ability to remain coherent when it searches for information online. For example I might ask Sonnet 5 "how do I build a shed" and during its search it presumably comes ac…