an someone do a study on the rates of blue boxes with blue text in websites pre and post Claude? I swear I see this style everywhere now

July has been a big month for Viser! - Released v1.0.0😊 - We did some writing Some demos👇

1/N 🚀 Launching LEANN — the tiniest vector index on Earth! Fast, accurate, and 100% private RAG on your MacBook. 0% internet. 97% smaller. Semantic search on everything. Your personal Jarvis, ready to dive into your emails, chats, and more. 🔗 Code: github.com/yichuan-w/LEANN 📄

Recently when using in a somewhat long Cursor chat, it will just randomly delete all the code it has written from that chat and restoring the checkpoint doesn't bring any of it back. Files which it created are just completely empty. Anyone else notice this?

What makes LLMs like Grok-4 unique? We use sparse autoencoders (SAEs) to tackle queries like these and apply them to four data analysis tasks: data diffing, correlations, targeted clustering, and retrieval. By analyzing model outputs, SAEs find novel insights on model behavior!

we’re on the board! x.ai/safety

grok 4 model card and RMF! x.ai/safety

Don't know what to get your advisor for their birthday? Give them the best gift of all: their time back. Happy (late) birthday Joey Gonzalez :)

is it just me or is claude-4 on cursor incredibly cheery and sycophantic now

🔍 How do we teach an LLM to 𝘮𝘢𝘴𝘵𝘦𝘳 a body of knowledge? In new work with AI at Meta, we propose Active Reading 📙: a way for models to teach themselves new things by self-studying their training data. Results: * 𝟔𝟔% on SimpleQA w/ an 8B model by studying the wikipedia

Interested in building and benchmarking deep research systems? Excited to introduce DeepScholar-Bench, a live benchmark for generative research synthesis, from our team at Stanford and Berkeley! 🏆Live Leaderboard guestrin-lab.github.io/deepscholar-le… 📚 Paper: arxiv.org/abs/2508.20033 🛠️

🎉 Excited to share RecA: Reconstruction Alignment Improves Unified Multimodal Models 🔥 Post-train w/ RecA: 8k images & 4 hours (8 GPUs) → SOTA UMMs: GenEval 0.73→0.90 | DPGBench 80.93→88.15 | ImgEdit 3.38→3.75 Code: github.com/HorizonWind200… 1/n

NeurIPS 2025 ✅ Our generate-verify de-hallucination paper is in! ✔️ DFS-backtracking–like tricks fix VLM hallucinations ✔️ Explicit confidence targets matter (we stressed this before OpenAI’s “Why LMs Hallucinate”) 👉 Check it out: reverse-vlm.github.io See u all at SD!

Excited to share: MAST has been accepted as 🌟 NeurIPS D&B Spotlight🌟 Updates for the community: - NEW: We open-source 1,000+ multi-agent traces (link in 🧵). - lots of exciting use cases are emerging, we’ll be releasing blogs & tutorials to help you get started - And … more

SGLang now supports deterministic LLM inference! Building on Thinking Machines batch-invariant kernels, we integrated deterministic attention & sampling ops into a high-throughput engine - fully compatible with chunked prefill, CUDA graphs, radix cache, and non-greedy sampling. ✅

🎉 Re-introducing Categories in Vision Arena! Since we first introduced categories over two years ago (and Vision Arena last year), the AI evaluation landscape has grown rapidly. Categories let us zoom in on model performance for specific areas, from captioning to diagrams. 🧵

Training our advisors was too hard, so we tried to train black-box models like GPT-5 instead. Check out our work: Advisor Models, a training framework that adapts frontier models behind an API to your specific environment, users, or tasks using a smaller, advisor model (1/n)!