Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: An 80s suburban front porch at Halloween dusk with a bowl of glowing AI model cards and dataset badges instead of candy, trick-or-treaters in costumes holding bags labeled with ML framework logos, warm string lights, scattered autumn leaves, jack-o-lanterns, and a house number styled like a HuggingFace model repository ID, cinematic fall lighting with orange and amber tones.
Nvidia just released ChronoEdit-14B on Hugging Face enables physics-aware image editing and action-conditioned world simulation through temporal reasoning. It distills priors from a 14B-parameter pretrained video generative model and separates inference into (i) a video https://x.com/_akhaliq/status/1983953896415604836
The incredible work the @huggingface does in the open truly charts a path towards a post-scarcity future that includes everyone in the fruits of AI.”” / X https://x.com/JayAlammar/status/1984273218568696014
We’ve just published the Smol Training Playbook: a distillation of hard earned knowledge to share exactly what it takes to train SOTA LLMs ⚡️ Featuring our protagonist SmolLM3, we cover: 🧭 Strategy on whether to train your own LLM and burn all your VC money 🪨 Pretraining, https://x.com/_lewtun/status/1983929588909797414
yesterday, Hugging Face dropped a 214-page MASTERCLASS on how to train LLMs > it’s called The Smol Training Playbook > and if want to learn how to train LLMs, > this GIFT is for you > this training bible walks you through the ENTIRE pipeline > covers every concept that matters https://x.com/TheAhmadOsman/status/1984157512795357614
@MiniMax__AI Smart models 🤝 fast inference The tool calling and coding capabilities of M2 look promising! https://x.com/basetenco/status/1982796366108672393
@Teknium1 @intrstllrninja @sgl_project yes minimax-m2 is supported by vllm, see https://x.com/vllm_project/status/1983936128878059541
couple more additions to AIE CODE: excited to welcome back @beyang, CTO of @ampcode, and 3x AIE top speaker and @SkylerMiao7 of @Hailuo_AI Head of Eng, whose Minimax M2 is currently #5 on Artificial Analysis and is the SOTA open model by the measure https://x.com/swyx/status/1983939826069205340
Hugging Face: https://x.com/MiniMax__AI/status/1983524834048184753
Live in Cline: @MiniMax__AI M2 Temporarily free (i.e. money = $0) in Cline! https://x.com/cline/status/1982948478105088047
MiniMax M2 design choice seems to be: qk-norm, partial rope, sliding window attention, no shared expert, GQA”” / X https://x.com/eliebakouch/status/1982660966648324504
MiniMax M2 is available for free for a limited time in anycoder on Hugging Face using @OpenRouterAI https://x.com/_akhaliq/status/1982591245043240975
MiniMax M2 vLLM PR: https://x.com/eliebakouch/status/1982656807102451723
MiniMax Text01 / M1 Model Transformers Deployment Guide – MiniMax API Docs https://platform.minimax.io/docs/guides/text-transformers-deployment
MiniMax-M2 has been met with incredible enthusiasm from developers around the world, we’re deeply encouraged and grateful for it. Earlier today, a surge in global traffic briefly lowered our success rate to 90%. We heard your feedback right away. Service is now fully restored,”” / X https://x.com/MiniMax__AI/status/1983522475217735915
MiniMax’s M2 achieves a new all-time-high Intelligence Index score for an open weights model and offers impressive efficiency with only 10B active parameters (200B total) Key takeaways: ➤ Efficiency to serve at scale: MiniMax-M2 has 200B total parameters and is very sparse with https://x.com/ArtificialAnlys/status/1982714153375854998
Modelscope: https://x.com/MiniMax__AI/status/1982683091115323419
Text Generation Guide – MiniMax API Docs https://platform.minimax.io/docs/guides/text-generation
Wow this is very surprising, in minimax01 they did ablation and show that naive linear attention was better (even much better for long context) https://x.com/eliebakouch/status/1982647963467030704
You can now vibe code AI react apps in anycoder with MiniMax M2 https://x.com/_akhaliq/status/1982937250095882580
@OpenAI Wohoooo! Congratulations on the release 🔥 Love the weights on the hub 🤗 https://x.com/reach_vb/status/1983508207793238150
🔥 It’s here: OpenFold3 is now live. THE open-source foundation model for predicting 3D structures of proteins, nucleic acids & small molecules. This is where the future of drug discovery and biomolecular AI lives. Built by @open_fold. Hosted on @huggingface. 👇 more https://x.com/cgeorgiaw/status/1983241877479379187
