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So dancing bugs got upstaged by kpop girls , there’s the whole Bun vs Zig drama , and yesterday’s ChatGPT/Codex superapp launch was bumpier than expected , and the reset button was pressed a couple times to compensate. After buying Statsig and making a big deal out of GPT5’s routing/getting rid of the model picker , the main issue now is that GPT 5.6’s…
Open source AI is booming, according to Hugging Face CEO Clem Delangue . The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500.
Open source AI is booming, according to Hugging Face CEO Clem Delangue . The company has grown into something like a GitHub for AI in recent years, where AI builders can share and download open models and datasets, now used by roughly half the Fortune 500.
Profiling in PyTorch (Part 3): Attention is all you profile The series "Profiling in PyTorch" is meant to make you comfortable reading profiler traces and tables. In Part 1 we profiled basic math operations like addition and multiplication.
On any other day, the launch of a surprisingly good/competitive Muse Spark 1.1 from Meta Superintelligence Labs, including, for the first time, in the Meta Model API (signaling high confidence for broad usage and third party testing which is bearing out in their sister models ), would deserve title story status, but they had the misfortune of going up…
We’ve been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B , but we’re excited to conclude this series returning to Modal, which has just raised a monster $355M Series C . The cloud was built for developers.
Data for Agents Why agentic AI needs open data, and why synthetic data is how we scale it. Image: Nemotron Post-Training v3 Prompt Atlas More Than Model Weights Building AI agents is hard, because the real world does not behave like a benchmark.
Native-speed vLLM transformers modeling backend TL;DR : The transformers vLLM backend is now as fast (or faster) than custom vLLM implementations for many LLM architectures. Model authors can automatically leverage their transformers implementations to get ultra fast vLLM inference, for free.
The days of Nvidia’s unparalleled market dominance aren’t over, but challengers and choices are arising from all directions. ZML , a hot French AI startup endorsed by Turing Award winner Yann LeCun, has released inference -performance software that allows a variety of open source large language models to run on a variety of chips — including Nvidia’s,…
Congrats to Meta Superintelligence on having the top 2/3 image/video models in the world! This would’ve been a candidate for a title story, but unfortunately that is pretty much all the detail we have about Muse Image/Video - no paper, no technical detail whatsoever.
From Hugging Face to Amazon SageMaker Studio in one click Today, we’re excited to announce a deep-link integration between Hugging Face and Amazon SageMaker AI . Developers can now go from model discovery to hands-on experimentation in SageMaker Studio with a single selection.
Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot For most teams, models and datasets live in a bucket in one region of one cloud. The GPUs you can get, whether for development, training, or serving, increasingly sit on a different cloud than your data.
Hugging Face Models on Foundry Managed Compute At Microsoft Build 2026, we announced Foundry Managed Compute and Hugging Face models on Foundry — a curated catalog of open-weight models from the Hugging Face ecosystem, refreshed weekly, deployable in one click onto Foundry Managed Compute. Weights are pre-staged in Azure, runtimes are built and scanned by…
PRX Part 4: Our Data Strategy Welcome back! This is Part 4 of the PRX series.
Station F , a Paris-based startup hub founded by French billionaire Xavier Niel, is gearing up for a new edition of its F/ai accelerator program in a bid to strengthen its positioning as a stepping stone for promising AI startups. Launched in January of this year , F/ai’s planning to kick-start its second batch this September, aiming to help a handful of…
Fable was relaunched on schedule, and AIE was on top of it with the first Field Guide to Fable talk , as well as the rest of the excellent Richard MacManus coverage of AIEWF Day 3 across Autoresearch , Cursor FDE , and a followup to Zach Lloyd’s popular talk yesterday on Software Factories , as well as “all killer no filler” closing keynotes: AI News for…
Hugging Face and Cerebras bring Gemma 4 to real-time voice AI For voice AI, latency is a critical parameter. Developers have made tremendous progress in model quality, but the user experience is still often limited by response times.
In separate announcements, Sonnet 5 was released today, and Fable/Mythos 5 were approved to be released again after some work with the government. The primary discussion around Sonnet 5’s efficiency was a damper on the excitement, driven by tokenizer changes and 3-6x more turn taking in benchmarks: Oh my god, Sonnet 5 was MORE EXPENSIVE THAN FABLE to run…
Why Specialization Is Inevitable --- Those who follow Dharma AI already know that we view specialization as one of the defining principles of effective AI systems, shaping everything from cost and performance to reliability and sovereignty. Few papers have articulated that case as rigorously as the 2026 work by Goldfeder, Wyder, LeCun, and Shwartz-Ziv.
Featuring Every Eval Ever Results on Hugging Face Model Pages Every Eval Ever (EEE) and Hugging Face Community Evals are now intercompatible. We enable cross-posting and interpreting evaluation results, while linking to open models, leaderboards, and a unified standardized metadata store.
Against the backdrop of ongoing Anthropic-Fable negotiations and a relaxation of Mythos controls, GPT-5.6 was announced today, but with limited access to trusted partners. It is Mythos-beating at a subset of coding agent tasks: But OpenAI took strong pains to explain that this model both Mythos-beating and also not as capable at Cyber as Mythos: GPT‑5.6…
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Run a vLLM Server on HF Jobs in One Command You can spin up a private, OpenAI-compatible LLM endpoint on Hugging Face infrastructure with a single command — no servers to provision, no Kubernetes, pay-per-second. Once it's up, you can query it from your laptop, a notebook, or anywhere else.
The brief history of Meta-Harnesses is a little undocumented, but it roughly goes: at first there was Conductor and Zed’s ACP , then there came OpenInspect , Cloudflare’s Flue , and then Vercel’s Eve and HarnessAgent , and Heypi . It should not go unnoticed that today’s podcast guest Matei Zaharia, CTO of the enormously successful (for a pre LLM era…
Experimenting with the proposed Cross-Origin Storage API in Transformers.js (This is a guest post by Developer Relations Engineer Thomas Steiner from the Chrome team at Google.) Transformers.js provides Web developers with a simple way to use the power of transformers in their Web apps through task-specific pipelines. To run inference in the browser,…