Qwen just released a 480B coding model & a space to try it out for web dev. Fun! Model: Space:

ARC-AGI-3 Agent Competition (27 days left) $10K prize pool in partnership with @huggingface Your first submission is 3 lines of code away Here are quick-start templates from @LangChainAI @AgentOpsAI and @AnthropicAI and lessons learned from devs who've tried ARC-AGI-3 🧵

🎨 We’re thrilled to officially launch Neta Lumina — the most advanced open-source anime model yet. As our 4th open-source model, Neta Lumina has achieved: 🔹 Expertly tuned for 200+ anime aesthetics including Guofeng, Furry, Pets, Scenery Shots and more niche themes 🔹 Unparalleled prompt coherence, even with extra-long natural language 🔹 Native multilingual support: English, 中文, and 日本語 recommended 🔹 Fully compatible with Danbooru-style tags More resources, including model links and prompt book in this thread👇

So strange how most people refer to "AGI" generically as one monolith, like they'll all be the same. There isn't going to be one AGI, or one type of AGI. There's going to be an infinite variety of flavors.

A community member trained a tiny Llama model (23M parameters) on 3 million high-quality @lichess games, then deployed it to run entirely in-browser with 🤗 Transformers.js! Super cool! 🔥 It has an estimated ELO of ~1400... can you beat it? 👀 (runs on both mobile and desktop)

What’s missing: investment in open source models and the other things to support the long term research ecosystem that’ll make the US the long term home of AI innovation. Something our country is lacking today but is fixable.

The best open-source AI model just dropped a detailed report on how it was trained, a rare resource for students given no frontier lab is publishing! Kimi K2's estimated total cost of training is ~$20-30M, roughly in line with pricing: $0.6/M in $2.5/M out tokens. 10 highlights:

That would be so 🔥🔥🔥 @Alibaba_Qwen @Kimi_Moonshot

If i could have a wish today i would wish kimi and qwen release their post training datasets like nous does 🫣🤗 We could all be building off eachothers work a lot easier that way!

🏆 Our @nvidia KV Cache Compression Leaderboard is now live! Compare state-of-the-art compression methods side-by-side with KVPress. See which techniques are leading in efficiency and performance. 🥇