Shaun Smith retweeted
ML Intern in HuggingChat, is now a great place to iterate on data!
Explore existing datasets. Create your own. Iterate on them with the agent!
Try it yourself: huggingface.co/chat/?mode=ml…
Shaun Smith retweeted
As a Goose maintainer, I know how much work goes into giving users a choice of models. We support more than 80 model providers, and keeping those integrations working is a lot of work.
It's a drag managing the differences in tool calls, streaming, and model behavior across dozens of providers.
Thankfully, Open Responses standardizes the LLM API format, so AI developers can write and maintain one integration instead of a separate adapter for each one.
aaif.io/blog/what-open-respo…
Shaun Smith retweeted
Just watched the @netflix Instadocs about the @OpenAI cyberattack on @huggingface. Super disappointing, as they went for maximum anthropomorphism of the technology and full doomer mode.
I spent more than two hours with them trying to correct all their mistakes and ground this in reality, explaining that agents are technological systems, not aliens. But it looks like the drive to scare people for maximum views was too strong.
Also, they didn’t mention the lack of containment and monitoring of the agents, how closed-model safeguards blocked our defensive work, or how we defended ourselves with AI using an open model. And that we still lack a lot of information and transparency, including full agent traces and that companies need to remain accountable for what their agents do.
It ends up being a fun sci-fi movie though!
Shaun Smith retweeted
I had an awesome time at the @huggingface party! I got to meet the 🤗 MCP maintainer @evalstate, dance with the 🤗 mascot, and meet 2 adorable microducks.
Shaun Smith retweeted
1/ muse spark open is the most capable US open-weight model to date.
816B total params, 42B active. 1M-token context. natively multimodal. built for coding and agentic work like long-horizon tasks, hard software engineering, multi-step reasoning.
america! 🇺🇲
Shaun Smith retweeted
PSA: @mervenoyann is destined to teach @pewdiepie about local agents and post-training.
upvote her plea and make a dream come true.
github.com/odysseus-dev/odys…
Shaun Smith retweeted
Open standards take a village, and MCP's is showing up. :muscle:
Over the past year, its core repository had 721 active contributors from 216 active organizations across 46 countries and territories.
Thank you to everyone contributing to MCP.
Shaun Smith retweeted
You can now train an open model with RL inside claude code, codex, opencode, pi, or any harness you need. All at once, with the harness runs unmodified.
@adithya_s_k added a capture proxy to openenv. it sits between the harness and the model and records the exact token ids and logprobs of every call. to the harness it's just another model provider. harbor supplies the tasks and sandboxes, trl trains with async GRPO.
it's worth doing because the harness completely changes what the model learns. the same LFM2.5-2.6B weights solve 62% of held-out tasks in mini-swe-agent and 33% in claude code. after RL across four harnesses the average goes from 42% to 54%, and claude code from 33% to 49%.
there are three envs you can try in the browser and a training script for each.
guide: huggingface.co/spaces/Adithy…
Shaun Smith retweeted
I'm giving away $1,000 of HF credits 🤗
$10 x 100 people, I want you to experience this:
> having your agent launch hundreds of HF Jobs
> run ~33M tokens of DeepSeek V4.1 Flash
> deploy your own dedicated Qwen3.8 27B endpoint
> Agents + Blender on a GPU because it's 🔥
Just reply with your HF username 👇
Hugging Face Jobs usage is stonking 📈
All thanks to agents: you just need the hf CLI installed and you have access to an insane amount of hardware.
Asked mine to test hundreds of code snippets from Hub model pages: it launched 322 Jobs in 90 minutes, up to 25 at once, CPU to A100 (diffusers, transformers, sklearn, MLX, Keras...)
Total bill: ~$4 🤯
Shaun Smith retweeted
“We are pleased to announce the latest Gemini model!”
Great, can customers use it?
“No.”
Shaun Smith retweeted

Tibo@thsottiauxJul 13
🇺🇸
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Updates for Codex and ChatGPT Work users. No nerfing, only good stuff!
- We have landed inference optimizations and are passing down savings to all the subscriptions for GPT-5.6 Sol. That should result in around 10% more usage on its own.
- We noticed that by changing the context size limit in the product to 372k for GPT-5.6 Sol, up from 272k for GPT-5.5, it resulted in more usage being charged than intended. We have reverted to 272k and will work to roll back out to 372k in the days to come. You should notice that usage drains significantly less after this change.
- To understand where the extra usage was coming from, we ran some experiments where reasoning efforts were changed (referred to as juice values under the hood) and have reverted this.
- There is slightly more usage of multi-agent than intended in high and xhigh reasoning effort, we are fixing this going forward. Also fixing a small other thing we noticed with auto-review where we can be more efficient.
And we continue to have the 5h limit temporarily not apply. Enjoy the rest of the weekend!
OpenAI has reduced GPT-5.6 Sol's thinking budgets in an effort to make the model more efficient
They essentially bumped everyone's reasoning down by 1... so if you were running Sol Extra High, you now have to set it to Max to get the same effort
So we basically don't have Max reasoning anymore, how do you feel about these changes? 🤔
Shaun Smith retweeted
don't sleep on @huggingface 's MCP server. it handles the hub like raw storage and compute.
agents gets generic bash tools like ls to list, make, append hub repo.
agents get jobs tools that can run scripts, commands, containers, servers on any major hardware.
best thing is that it plugs into all major agents, both UI and terminal, and is maintained by core MCP maintainer @evalstate
hf.co/mcp
Shaun Smith retweeted
Most conferences sell workshops separately.
As program chair of AGNTCon + MCPCon, I made the decision to integrate workshops within the 2 conference days. Not only are you not paying extra for the hands-on training, but you also don't have to pay for yet another hotel night.
So for no extra charge, you get 7 workshops along with ~120 sessions and 20 keynotes! Something of this quality would usually cost you a couple thousand bucks.
We're able to provide this experience for only $475! And that includes meals, snacks, a reception, and a concert!
Bruh, you can't beat that. Wait, actually, I can. Here, I'll even throw in an extra 25% off with discount code COMMUNITY25. So, now you get ALL OF THAT for $356.25. You're welcome 🫶🏽
events.linuxfoundation.org/a…
Shaun Smith retweeted
👀 c64-3d-toolkit Blender-to-C64 demo from Sande.
Runs on C64 Ultimate (stock Commodore 64 settings), video shot from a CRT.
More optimizations & updates coming! v0.8.1 atm.
GitHub: github.com/FlyingFathead/c64…
Shaun Smith retweeted
On the public TerminalBench traces, Astra runs into safety classifiers and their rollouts get stopped and scored as 0
Fable gets re-routed to Opus instead and the run continues.
Hard to compare scores that way!
Shaun Smith retweeted
I never got to comment on Nvidia-HF because I was OOO, but something that struck me is how HuggingFace is a steal for Nvidia. HuggingFace's core ability is understanding how to influence the discussion and direction of AI, relative to their resources.
For Nvidia, who is so rich and powerful, this ability is worth easily the ~$10B they paid, but every year. There are many sources of capital other than just hard cash -- HuggingFace is rich in those sources of soft power. It'll be a challenge for Nvidia to keep that culture and to foster it, but that challenge will be valuable growth for the company.
Nvidia is a better buyer than one of the three clouds, as the clouds would feel more pressure to make money on it, to compete directly with github, etc. HuggingFace should now be given the directive of Jensens ambition, to be free from having to think of themselves as a "functioning business unit" and to be the most powerful comm's army in the AI discourse of all time.
HuggingFace should be free to win the hearts and minds of the next 100 million AI developers, and I'm excited to see it happen. Having worked at HuggingFace, and stared down the barrel of making the company work as an independent public entity, this outcome should've been seen as somewhat inevitable.
Congrats again to @Thom_Wolf @julien_c, @ClementDelangue, and all my friends at @huggingface for making something with such incredible value. Much of the culture was about creating value for the whole community, rather than capturing it for HuggingFace. This is now in line with Nvidia's "all-in" bet on open models (so intelligence isn't monopolized), and this next part of the chapter will be fun.
My first day of work at HuggingFace, fresh off a red eye in Paris, still feels like yesterday (2022). When I posted the prediction below, last year, I actually got hate for it. lol.































