XFrontier01:31Nathan Lambert@natolambert@tenobrus It's set to have automatic approval for open source models and technologies, seems more about things like the manus deal and critical data from domestic industry (with future optionality on regulation, but this is also just a proposal not law)Collected by WispRead in full↗
XFrontier00:35Nathan Lambert@natolambert@kuchaev yeah I updated it right after I posted realizing that, and will add beam shortly!Collected by WispRead in full↗
XFrontier00:13Nathan Lambert@natolambert@gabriberton @__tinygrad__ I did give praise, you can look at the other tweets., e.g. https://t.co/oLICbgQ9R5Collected by WispRead in full↗
XFrontier23:59Nathan Lambert@natolambert@TheZvi Compute restrictions, I do think there's more internal lab-govt discussions on safety in China, less organization development. No good answers, but I've been monitoring & ponderingCollected by WispRead in full↗
XFrontier21:48Nathan Lambert@natolambertSeems very important, as tons of people are tweeting about the end of bigger open models from China due to this from MOCOM, but there's a statement intending to make it easier for open source technology. Much hinges on implementation and how "near automatic" approval would work. https://t.co/pKkcSjAhAiCollected by WispRead in full↗
XFrontier02:47Nathan Lambert@natolambert@xlr8harder Its got all the restrictions across all license eras 1. Built with muse branding nonsense that no one followed 2. Revenue gate like kimi/glm (reasonable) 3. Restricted domains / authorized use policy 4. All of the above applies to models trained on ai outputs (maybe)Collected by WispRead in full↗
XFrontier01:37Nathan Lambert@natolambertIf it performs roughly what like the scores indicate, adoption of this model is going to go gangbusters. First open-weigh model in the US with near frontier agentic capabilities (GLM 5.2 + Kimi K3 was that step change from China). US models get crazy adoption. https://t.co/9elY7xigU5Collected by WispRead in full↗
XFrontier23:24Nathan Lambert@natolambertIn this case I normally would consider myself a "not knowing" but most of the takes have been so bad and extreme, that I'd upgrade myself to "knows better"Collected by WispRead in full↗
XFrontier21:12Nathan Lambert@natolambert@MishaLaskin congrats & thank you for using a very accessible license!!! Very stark given the Muse one from yesterday, which is pain.Collected by WispRead in full↗
XFrontier02:05Nathan Lambert@natolambertGuys this is like my superbowl I waited so long for US open weight models to be relevant again. Before today the US models were still behind Chinese models from as early as Feb. 2026. Still more work to do! This cut the gap by at least half, in time (say 3 months) https://t.co/uX7em49qtWCollected by WispRead in full↗
XFrontier01:25Nathan Lambert@natolambertOkay now I really gotta blog 🎉 https://t.co/uKl5X18XpwCollected by WispRead in full↗
XFrontier23:18Nathan Lambert@natolambertA safe assumption when people are all commenting on a short Chinese policy document is that they don't know what it means and tried to parse a partial translation from claude, without reading all the way through. There are maybe 5-10 people on this site who i trust to comment.Collected by WispRead in full↗
XFrontier03:30Nathan Lambert@natolambert@teortaxesTex additional safety training is what they said?Collected by WispRead in full↗
XFrontier01:40Nathan Lambert@natolambertThe Meta Muse Open License is trash. Thankfully no one really cares about licenses, expect the inference providers who will happily comply.Collected by WispRead in full↗
XFrontier22:49Nathan Lambert@natolambert@vincentsunnchen @SnorkelAI Just applied for something we have in mind at @trillium_labs -- a good initiative, thanks for doing it (even if we're not funded)!Collected by WispRead in full↗
XFrontier19:52Nathan Lambert@natolambertLots of ecosystem players (Nvidia, Huggingface) vague posting about a lot of releases in the near future. Rumors include thinky, muse spark, and Chinese players who haven’t dropped in a while. Fable 5.5 and whatever OpenAI is cooking expected too at any moment.Collected by WispRead in full↗
XFrontier00:25Nathan Lambert@natolambertVery timely appearance on the a16z podcast with @lishali88, to try to understand how open models play into RSI dynamics, who captures value of open models, wrangling agent swarms, and why I'm building Trillium Labs. https://t.co/psWUUGCfrSCollected by WispRead in full↗
XFrontier20:26Nathan Lambert@natolambert@niloofar_mire I get really hilarious reactions when I tell people I am moving to Boston to prioritize family while still working in AI...Collected by WispRead in full↗
XFrontier02:21Nathan Lambert@natolambertThe updated total downloads, with our curated list of ~2k local checkpoints, matched back to their original "primary" model weight, shows more of a stall in downloads than a clear decline. https://t.co/ZrH2ddNgBPCollected by WispRead in full↗
XFrontier02:21Nathan Lambert@natolambertA gap that has been fixed in our methodology that highlighted a decline was not including local models (GGUF, AWQ, ONNX, etc). Earlier, these were far harder to track and closer to a rounding error. Now, they're surging. We updated our pipeline to track these models! https://t.co/5k2RRcRnk5 https://t.co/MP03FjHaTsCollected by WispRead in full↗