All tags
Topic: "theorem-proving"
not much happened today
muse-glimmer muse-spark-1.2 claude claude-3 meta-ai-fair anthropic openai together-ai hugging-face ollama quantization agentic-ai multimodality model-architecture model-optimization long-context local-deployment benchmarking theorem-proving proof-assistance ai-assisted-reasoning finkd alexandr_wang jarredsumner jdlichtman
Meta re-enters the open-weight frontier with the release of Muse Glimmer, a 30B dense, multimodal, agent-focused model under Apache 2.0, optimized for always-on local agents and consumer hardware. It features quantization to keep the model under 20GB, a lightweight DFlash drafter for faster on-device generation, and architectural innovations like Gemma 4-style hybrid attention and scale-free QK norm. Benchmarks place Muse Glimmer at 35 on the Intelligence Index, notable for local self-hosting with ~60GB BF16, ~18GB 4-bit, and 128K context. Immediate ecosystem support includes vLLM, llama.cpp, Ollama, Together AI, and Hugging Face transformers. Meanwhile, Anthropic's unreleased Claude variant improved a Riemann Hypothesis bound from 41.6% to 67.2% using over 31M output tokens, showcasing AI-assisted theorem search and proof iteration.
not much happened today
kimi-k2 gpt-4.1 voxtral goedel-prover-v2 llama-3 mistral-ai moonshot-ai nous-research google-deepmind openai groq anthropic speech-recognition mixture-of-experts benchmarking dataset-release model-architecture theorem-proving reinforcement-learning asymmetry-of-verification inference-speed model-performance cline _jasonwei
Mistral released Voxtral, claimed as the world's best open speech recognition models, available via API and Hugging Face. Moonshot AI launched Kimi K2, a trillion-parameter Mixture-of-Experts (MoE) model, outperforming GPT-4.1 on benchmarks with 65.4% on SWE-Bench Verified and achieving 200 tokens/second inference speed on Groq hardware. Nous Research open-sourced the Hermes 3 dataset with 1 million samples, aiding SOTA models on the Llama-3 series. Google DeepMind introduced the Mixture-of-Recursions (MoR) architecture promising 2x inference speed and 50% parameter reduction but faced skepticism. Goedel-Prover V2 topped the PutnamBench theorem proving benchmark. AtCoder World Finals saw a human winner with OpenAI placing second. Research highlights include Jason Wei's insights on reinforcement learning and the "Verifier's Law" emphasizing the asymmetry of verification in AI training.
Cursor @ $9b, OpenAI Buys Windsurf @ $3b
llama-nemotron-ultra llama-nemotron-super llama-nemotron-nano qwen3-235b-a22b prover-v2 phi-4-reasoning ernie-4.5-turbo ernie-x1-turbo suno-v4.5 gen-4-references o1-mini openai cursor nvidia alibaba deepseek microsoft baidu suno runway keras reasoning inference-efficiency open-license moe-models math-reasoning theorem-proving model-performance music-generation image-generation recommender-systems tpu-optimization _akhaliq adcock_brett lmarena_ai fchollet
OpenAI is reportedly close to closing a deal with Windsurf, coinciding with Cursor's $900M funding round at a $9B valuation. Nvidia launched the Llama-Nemotron series featuring models from 8B to 253B parameters, praised for reasoning and inference efficiency. Alibaba released the Qwen3 family with MoE and dense models up to 235B parameters, ranking highly in coding and math benchmarks. DeepSeek introduced Prover-V2, an open-source AI for math reasoning with an 88.9% pass rate on MiniF2F-test. Microsoft released reasoning-focused Phi-4 models, outperforming OpenAI's o1-mini. Baidu debuted turbo versions of ERNIE 4.5 and X1 for faster, cheaper inference. Suno v4.5 added advanced AI music generation features, while Runway Gen-4 References enable placing characters into scenes with high consistency. KerasRS, a new recommender system library optimized for TPUs, was released by Fran ois Chollet.