Where the AI market is talking

Nvidia to acquire Hugging Face

nemotron? https://news.ycombinator.com/item?id=46275111 parakeet? see https://huggingface.co/nvidia for the current list

Nvidia to acquire Hugging Face

Or, alternatively, they can now direct Hugging Face not to sue...

Nvidia to acquire Hugging Face

I personally think this acquisition is genius anybody who could afford it would be wise to own HuggingFace because they are incredible

Hugging Face approached Nvidia’s Huang weeks ahead of $12.9B acquisition

.name Termination

I am also one of the 22,000 people who have a third-level .name domain and I am livid about this, not least because Verisign flat-out lied in their proposal to ICANN: ( https://itp.cdn.icann.org/en/files/consensus-policies/rsep-2... ) : "2.1. What effect, if any, will the proposed service have on the life cycle of domain names? None. There will not be any effect on the life cycle of domain names. ... 2.3. Explain how the proposed service will affect the throughput, response time, consistency or coherence of responses to Internet servers or end systems. There will be no effect on the throughput, response time, consistency or coherence of responses to Internet servers or end systems." My registrar is also suggesting that they are going to just keep the money I …

Nvidia to acquire Hugging Face

My understanding of Hugging Face is limited to "File Host with Model Cards". Can someone with more understanding explain what the $12 billion value comes from?

Putting my Jax-trained models on the Hugging Face Hub

Agent behavior, reasoning and collaboration in the OpenAI Hugging Face incident

Nvidia to acquire Hugging Face

Overheard: "It would be a shame if Hugging Face had to press charges for hacking against your best customer. Perhaps if I was busy counting my money, it might slip my mind."

True Rate of Unemployment

Always, but perhaps not in this case. I wasn't correcting spelling, but coherence. The comment I replied to includes a sentence that is both ambiguous and non-nonsensical. It doesn't seem to be an issue of grammar, but rather clarity of thought.

Yes, we should be worried about the Hugging Face hack

Nvidia to Acquire Hugging Face

Openrouter and huggingface both sold to multi billion dollar entities in the same few weeks - perhaps this is great for the founders, but as a consumer I hate this acquisition loop that happens with every company of adequate size these days.

Claude for Commerce Agents

Yep, not in the sense that you cannot make money from it, but platforms are now fighting against it. but that doesn’t stop people from trying out. And companies like ElevenLabs are themselves publishing guides on how to create what is now called “faceless YouTube video channels”.

Ask HN: Who wants to be hired? (September 2026)

Location : India Remote : Yes Willing to relocate : yes Technologies : Python | Generative AI | Agentic AI | LLMs | RAG | AI Agents | Multi-Agent Systems | LangChain | LangGraph | CrewAI | AutoGen | ReAct | HITL | AI Guardrails | Tool Calling | Embeddings | Semantic Search | ChromaDB | Vector Databases | FastAPI | REST APIs | PostgreSQL | MongoDB | Docker | Kubernetes | AWS | GCP | Azure | PyTorch | TensorFlow | Computer Vision | Git | GitHub Resume / CV : https://drive.google.com/file/d/1tUHB-wJSNQ5oZtr8C-BPANCGvKD... Email : ayazzssaifi@gmail.com

Making the Internet Boring

I'm with you on this, the knowledge sharing on YT is massive and in general not replicated in written form anywhere else. Anything that needs fixing involves a YT search for me these days, since that has the highest chance of turning up something useful and relevant. Only downside is that it's time consuming to find the right spot in the video and pause/rewind to understand how to do the thing properly. But having someone actually demonstrate how to do it, rather than just describing it with words, is so helpful and makes replicating it a lot easier.

The Overton Window of Food

I like to buy raw pecans in bulk from Costco for cheap, lightly roast the nuts in the air fryer for several minutes, and then chop them and add them into the oats. Great delicate flavors and aromas that can't be replicated with shelf-stable ingredients. Maybe add a tiny bit of butter and some cinnamon. So good

Muse Spark 1.3

I don’t think people are appreciating how much debt has been issued under the assumption that OpenAI and Anthropic would have pricing power for the next 5 years. The size of this bet was on the order of hundreds of billions, if not trillions. A repeat of 2008 is basically inevitable at this point. Those loans are dogshit because those companies have no moat. There’s like 7 or 8 companies at this point that are trading blows: Google/Meta/Zai/Deepseek/Ant/OpenAI/xAi The “winner takes all” assumption was wrong. Intelligence providers are rapidly becoming as fungible as gasoline.

Muse Spark 1.3

It's somewhat useful to note just for your own timelines that Fable was reportedly trained in February. I'm not sure when mythos 5.1 finished training, but muse spark 1.3 almost certainly finished more recently than that. This doesn't mean it's not one of the best models available (clearly it is), but that table didn't compare Fable/mythos (unless I missed it?) and OpenAI will be releasing a much more recently trained model (Astra) any day. So you shouldn't think "wow, Facebook has caught up" You should think, "wow, Facebook is less than 6 months behind the frontier" and that they're actually creating good models which is going to be good in many ways (price for customers, for one!) There are downsides too, but I'll discuss those separately somewhere

'Insane data': Duke professor Dan Ariely accused of additional research fraud

> Dan Ariely, professor of business administration in the Fuqua School of Business, is once again under scrutiny after an article released Monday found evidence that he likely tampered with or fabricated data in an influential 2002 research paper on procrastination. > The findings — published in Data Colada, a blog run by three esteemed behavioral science professors that investigates and replicates academic research — identified four key “red flags” in the study’s data, which suggested the results were not possible without interference. > “We are unable to generate a benign explanation for all of the anomalies presented here,” the professors wrote. “Based on this evidence, we believe the data for Study 2 of Ariely and Wertenbroch (2002) were severely tampered with or fabricated t…

METR Report on OpenAI / Hugging Face Hacking Incident