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Person: "steph_palazzolo"
Qwen-Image: SOTA text rendering + 4o-imagegen-level Editing Open Weights MMDiT
qwen-image mmdit gemini-2.5 o3-pro seedprover glm-4.5 xbai-o4 hunyuan alibaba google-deepmind openai bytedance kaggle tencent bilingual-text-rendering image-generation image-editing synthetic-data reasoning math-theorem-proving benchmarking instruction-following model-efficiency open-weight-models model-transparency competitive-evaluation swyx demishassabis tulseedoshi mparakhin teortaxestex cgeorgiaw dorialexander steph_palazzolo corbtt synthwavedd epochairesearch
Alibaba surprised with the release of Qwen-Image, a 20B MMDiT model excelling at bilingual text rendering and graphic poster creation, with open weights and demos available. Google DeepMind launched Gemini 2.5 Deep Think to Ultra subscribers, showing significant reasoning improvements and benchmark gains (+11.2% AIME, +13.2% HLE, +13.4% LiveCodeBench) rivaling OpenAI's o3 Pro. ByteDance's SeedProver achieved state-of-the-art math theorem proving results, surpassing DeepMind's AlphaGeometry2. OpenAI is developing a "universal verifier" for math and coding gains transfer. Competitive reasoning benchmarks and game arenas by Google and Kaggle highlight a meta-shift in reasoning model efficiency, comparable to the original Transformer leap. Other open-weight models gaining momentum include GLM-4.5, XBai o4, and Tencent Hunyuan with a focus on efficient training. "Qwen is all you need."
not much happened today
gemma-3n glm-4.1v-thinking deepseek-r1t2 mini-max-m1 o3 claude-4-opus claude-sonnet moe-72b meta scale-ai unslothai zhipu-ai deepseek huawei minimax-ai allenai sakana-ai-labs openai model-performance vision conv2d float16 training-loss open-source model-benchmarks moe load-balancing scientific-literature-evaluation code-generation adaptive-tree-search synthesis-benchmarks alexandr_wang natfriedman steph_palazzolo thegregyang teortaxes_tex denny_zhou agihippo danielhanchen osanseviero reach_vb scaling01 ndea
Meta has hired Scale AI CEO Alexandr Wang as its new Chief AI Officer, acquiring a 49% non-voting stake in Scale AI for $14.3 billion, doubling its valuation to ~$28 billion. This move is part of a major talent shuffle involving Meta, OpenAI, and Scale AI. Discussions include the impact on Yann LeCun's influence at Meta and potential responses from OpenAI. In model news, Gemma 3N faces technical issues like vision NaNs and FP16 overflows, with fixes from UnslothAI. Chinese open-source models like GLM-4.1V-Thinking by Zhipu AI and DeepSeek R1T2 show strong performance and speed improvements. Huawei open-sourced a 72B MoE model with a novel load balancing solution. The MiniMax-M1 hybrid MoE model leads math benchmarks on the Text Arena leaderboard. AllenAI launched SciArena for scientific literature evaluation, where o3 outperforms others. Research from Sakana AI Labs introduces AB-MCTS for code generation, improving synthesis benchmarks.
not much happened today
chai-2 gemini-2.5-pro deepseek-r1-0528 meta scale-ai anthropic cloudflare grammarly superhuman chai-discovery atlassian notion slack commoncrawl hugging-face sakana-ai inference model-scaling collective-intelligence zero-shot-learning enterprise-deployment data-access science-funding open-source-llms alexandr_wang nat_friedman clementdelangue teortaxestex ylecun steph_palazzolo andersonbcdefg jeremyphoward reach_vb
Meta makes a major AI move by hiring Scale AI founder Alexandr Wang as Chief AI Officer and acquiring a 49% non-voting stake in Scale AI for $14.3 billion, doubling its valuation to about $28 billion. Chai Discovery announces Chai-2, a breakthrough model for zero-shot antibody discovery and optimization. The US government faces budget cuts threatening to eliminate a quarter million science research jobs by 2026. Data access restrictions intensify as companies like Atlassian, Notion, and Slack block web crawlers including Common Crawl, raising concerns about future public internet archives. Hugging Face shuts down HuggingChat after serving over a million users, marking a significant experiment in open-source LLMs. Sakana AI releases AB-MCTS, an inference-time scaling algorithm enabling multiple models like Gemini 2.5 Pro and DeepSeek-R1-0528 to cooperate and outperform individual models.
Bartz v. Anthropic PBC — "Training use is Fair Use"
claude gemini-robotics-on-device anthropic replit delphi sequoia thinking-machines-lab disney universal midjourney google-deepmind fair-use copyright reinforcement-learning foundation-models robotics funding lawsuit digital-minds model-release andrea_bartz giffmana andrewcurran_ amasad swyx hwchase17 krandiash daraladje steph_palazzolo corbtt demishassabis
Anthropic won a significant fair use ruling allowing the training of Claude on copyrighted books, setting a precedent for AI training legality despite concerns over pirated data. Replit achieved a major milestone with $100M ARR, showing rapid growth. Delphi raised $16M Series A to scale digital minds, while Thinking Machines Lab focuses on reinforcement learning for business applications. Disney and Universal sued Midjourney over unauthorized use of copyrighted images. Google DeepMind released Gemini Robotics On-Device, a compact foundation model for robotics.
Granola launches team notes, while Notion launches meeting transcription
gpt-4.1 gpt-4o-mini gpt-4.1-mini claude-opus claude-sonnet claude-o3 qwen3 seed1.5-vl llama-4 am-thinking-v1 openai anthropic alibaba meta-ai-fair huggingface granola coding instruction-following benchmarking model-releases reasoning image-generation collaborative-software model-performance kevinweil scaling01 steph_palazzolo andersonbcdefg reach_vb yuchenj_uw qtnx_ _akhaliq risingsayak
GPT-4.1 is now available in ChatGPT for Plus, Pro, and Team users, focusing on coding and instruction following, with GPT 4.1 mini replacing GPT 4o mini. Anthropic is releasing new Claude models including Claude Opus and Claude Sonnet, though some criticism about hallucinations in Claude O3 was noted. Alibaba shared the Qwen3 Technical Report with strong benchmark results from Seed1.5-VL. Meta FAIR announced new models and datasets but faced criticism on Llama 4. AM-Thinking-v1 launched on Hugging Face as a 32B scale reasoning model. Granola raised $43M in Series B and launched Granola 2.0 with a Notion-like UI. The AI ecosystem shows rapid iteration and cloning of ideas, emphasizing execution and distribution.