1/ For the past year, we’ve been building a new research organization: Speculative Technologies (@spec__tech) exists to create an abundant, wonder-filled future by unlocking powerful materials and manufacturing technologies that don’t have a home in other institutions.

Advances in AI are paving the way for two-way communication with animals, with profound ethical implications. Steven Rouk explains: sentientmedia.org/ai-animal-comm…

Could AI help us communicate with other animals? If so, what would that mean for animal rights? Check out my new piece in Sentient. #animalrights #AI #artificalintelligence

Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery! sakana.ai/ai-scientist/ From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI

fdl.ai/live "heliolab" showcase happening now! Physics-AI applications in the NASA Digital Twin Earth portfolio, led by partners Google AI NVIDIA AI Pasteur Labs & Inst. for Simulation Intelligence (pasteurlabs.ai)

Automating AI research is exciting! But can LLMs actually produce novel, expert-level research ideas? After a year-long study, we obtained the first statistically significant conclusion: LLM-generated ideas are more novel than ideas written by expert human researchers.

Today's science fiction story is by @owl_poster. Read it here: asimov.press/p/models-life

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After today's Nobel, there couldn't be a better day to announce this 📢 Together with ARIA, we are building a new fellowship to bring top AI people into cutting edge science labs. We'll launch next year. Join us Nov 5 in London or reach out online to learn more.

Tired of wasting hours on data analysis instead of actual science? Scientists, we feel your pain. We’re releasing Metis, an intelligent scientific assistant that helps you go from data to publication-quality figures in under a minute. And it’s free for academics! The best part?

"Evolution doesn't make fixed solutions to specific environments – it makes problem-solving agents at all scales In AI, the higher level is intelligent, but the parts underneath are dumb In biology, every layer tries to bend/shape/coerce/hack the layers below & above it For

ICYMI - François Chollet's AGI-24 conference talk filmed in high-quality by Machine Learning Street Talk. MLST interview episode coming soon. youtu.be/s7_NlkBwdj8

🚀 Excited to share that I’m joining @ImperialCollege in Nov as a Lecturer, leading the Scalable SciML Lab in Imperial Earth Science & Engineering! I’m also honoured to be a Schmidt AI in Science Fellow at I-X. I'm hiring PhD students! benmoseley.blog 🌍✨

I'm so *wildly* excited to finally be able to share that I have joined Pacific Fusion and I'm starting an AI team! PF is the product of a rare alignment of a bunch of exceptional events. The result? A realistic path to fusion energy in years instead of decades. Story time! 🧵

I recently wrote for TIME on why the U.S. is so far behind Europe in animal welfare standards, and what this means for hundreds of millions of animals. It’s a wake-up call to Americans who continue to buy eggs from hens living their entire lives crammed into tiny cages. I also

I’m excited to announce my new book Consider the Turkey, which reveals some surprising details about the lives of the birds who end up on Thanksgiving tables across America. Check out this short book to inform yourself on what you are eating, including some plant-based recipe

44 scientists have issued a stark warning about the threat of a major ocean circulation change, causing a detrimental disruption of climate patterns lasting for centuries to come. Check out this short video explaining what this is all about.

I’d like to see some wild bio inspired stratospheric injection solutions. algae with helium organoidsthat float in the stratosphere multiplying and blocking excess radiation. Good overlap with biological cloud seeding here for ice formation

How can we condense 50-100 years of biological progress into 5-10 years? I wrote a response to Dario Amodei's essay, "Machines of Loving Grace." Most bottlenecks slowing biology today, I argue, are biophysical rather than computational. LEVERS FOR BIOLOGICAL PROGRESS🔻

[Paper] Dreamcoder's inductive program synthesis has inspired many ARC-AGI approaches. By combining neural networks + symbolic abstractions, it can tackle tasks from programming to physics. arxiv.org/abs/2006.08381