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RESEARCH
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The Art of Statistics: Essential Guide Learning from Data
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AI Risk Without AGI: Harms From Current LLM Systems
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🤯 AI doesn’t need to be AGI to cause harm! 🤯 ChatGPT can’t reliably run a timer but it has still been implicated in delusions, suicides, cognitive surrender, mass disinformation, and so much more. A system doesn’t have to be AGI to carry risks. Mythos probably isn’t AGI either (nothing’s really been released), but it clearly can be used as a cyberattacking tool etc* *the commenter below also misunderstands my views. I don’t think pure LLMs will ever be AGI but some approach will be eventually. (And I have always been clear about). (Also hardly anyone is using pure LLMs anymore; almost everyone has quietly moved to what I long urged: neurosymbolic AI, in which symbolic tools complement the weakness of pure LLMs, quietly vindicating what I have argued for 30 years.) Kudo (@CryptoC58828499) Please. If AI isn’t going to AGI (as you claim), then stop the damn fear mongering. — https://nitter.net/CryptoC58828499/status/2041898327965626458#m
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Daily AI and Robotics News in 5 Minutes
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I break down stories like this every day in my free newsletter. Keep up with the latest in AI/Robotics in 5 min a day:
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Google’s Multi-Agent Research System Automates Literature Reviews
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NEW paper from Google on multi-agent research agents. It's one of the first systems that handles end-to-end LaTeX generation, targeted literature reviews, and conceptual diagrams as a decoupled, standalone writer. Automated research frameworks can run experiments, but their
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ACM Prize Honors Matei Zaharia for Distributed Data Systems
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We're incredibly proud to congratulate our co-founder and CTO, @matei_zaharia
, on receiving the ACM Prize in Computing for his development of distributed data systems that have enabled large-scale machine learning, analytics, and AI. Matei's open-source contributions have -
Why AI Scaling Skeptics Misunderstand Exponential Growth
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We're not hitting an AI ceiling. Here's why the AI scaling skeptics are wrong. Exponentials help us understand everything that's going on in AI. For thousands of years, we lived in a linear world. Two apple trees produced about twice as many as one did. Walking half as far took
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DISCO: AI-Designed Enzymes for Novel Chemical Transformations
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Such an incredible journey building DISCO 🪩. Love working with this team. DISCO is a co-design model with functional, de novo, new-to-nature enzymes. Huge shoutout to my co-authors for making this a reality! 🚀👇 https://t.co/xb6XGotQz4
— Alex Tong (@AlexanderTong7) 8 avril 2026Such an incredible journey building DISCO 🪩. Love working with this team. DISCO is a co-design model with functional, de novo, new-to-nature enzymes. Huge shoutout to my co-authors for making this a reality! 🚀👇 Jarrid Rector-Brooks (@jarridrb) What if AI could invent enzymes that nature hasn’t seen? 👩🔬🧑🔬 Introducing 🪩 DISCO: Diffusion for Sequence-structure CO-design 14 rounds of directed evolution and over a year of wet lab work. That's what it took to engineer an enzyme for selective C(sp³)–H insertion, one of the most challenging transformations in organic chemistry. DISCO surpasses this with a single plate. No pre-specified catalytic residues, no template, no theozyme, no inverse folding, just joint diffusion over protein sequence and structure. 📝 Blog: disco-design.github.io/ 📄 Paper: arxiv.org/abs/2604.05181 💻 Code: github.com/DISCO-design/DISC… — https://nitter.net/jarridrb/status/2041893841301860542#m
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Context Engineering: Organizing Unstructured Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data, not generic pretraining.
→ View original post on X — @ronald_vanloon, 2026-04-08 15:00 UTC
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BiMotion: B-spline Method Generates Expressive 3D Character Animations
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Tired of stiff, janky 3D character animations from text descriptions?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 avril 2026
Researchers from University of Edinburgh, Cornell University, University of Michigan, and Voxel51 present BiMotion.
This novel method transforms text prompts into truly continuous and expressive 3D… pic.twitter.com/Q1ArAvsIPhTired of stiff, janky 3D character animations from text descriptions? Researchers from University of Edinburgh, Cornell University, University of Michigan, and Voxel51 present BiMotion. This novel method transforms text prompts into truly continuous and expressive 3D character movements by using smooth mathematical curves (B-splines) instead of choppy, frame-by-frame animation. The result? BiMotion generates far more expressive, higher-quality, and precisely prompt-aligned motions than current state-of-the-art methods like AnimateAnyMesh, all at a faster speed! BiMotion: B-spline Motion for Text-guided Dynamic 3D Character Generation Paper: arxiv.org/abs/2602.18873 Project: wangmiaowei.github.io/BiMoti… Code: github.com/wangmiaowei/BiMot… Hugging Face: huggingface.co/datasets/miao… Our report: mp.weixin.qq.com/s/KP5klDevL… 📬 #PapersAccepted by Jiqizhixin
