Some very sad news to bring you.
Liverpool and Portugal footballer Diogo Jota and his brother Andre Silva have died in a car crash in Spain.
Our thoughts are with their family and friends.
Kenya has been hit by a recent wave of repression, tarnishing its reputation as a beacon of democracy in East Africa.
Critics fear that it is sliding down the path of Uganda and Tanzania, both of which are notorious for cracking down on dissent. https://t.co/kRIdJAGa3R
"The evidence is clear: people caring about their rights and speaking up against repression has made some substantive things happen." @andmeringue
Read the full interview ⬇️
https://t.co/EOj4Pae4yy
On October 23, hear from @andmeringue, our Senior Policy Analyst, and other experts at @trustcon as they discuss AI and the law, current + possible implications, and reccs to ensure procedural fairness.
Is AI democratizing law or creating new barriers? Find out at #TC2024!
Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery!
https://t.co/jC7g5GPVsE
From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI Scientist opens a new era of AI-driven scientific research and accelerated discovery.
Here are 4 example Machine Learning research papers generated by The AI Scientist.
We published our report, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, and open-sourced our project!
Paper: https://t.co/lTQ8UenFHk
GitHub: https://t.co/Im53whVeAq
Our system leverages LLMs to propose and implement new research directions. Here, we first apply The AI Scientist to conduct Machine Learning research. Crucially, our system is capable of executing the entire ML research lifecycle: from inventing research ideas and experiments, writing code, to executing experiments on GPUs and gathering results. It can also write an entire scientific paper, explaining, visualizing and contextualizing the results.
Furthermore, while an LLM author writes entire research papers, another LLM reviewer critiques resulting manuscripts to provide feedback to improve the work, and also to select the most promising ideas to further develop in the next iteration cycle, leading to continual, open-ended discoveries, thus emulating the human scientific community. As a proof of concept, our system produced papers with novel contributions in ML research domains such language modeling, Diffusion and Grokking.
We (@_chris_lu_, @RobertTLange, @hardmaru) proudly collaborated with the @UniOfOxford (@j_foerst, @FLAIR_Ox) and @UBC (@cong_ml, @jeffclune) on this exciting project.
📣 Applications are now open for our next round of Intensive Support partnerships in Sub-Saharan Africa. Apply by Aug 12th https://t.co/EBB1VuQCD6
Please share with your networks!