כ-150 אנשים מפגינים מול מעון ראש הממשלה בבלפור נגד "השחיתות השלטונית". המפגינים חסמו את הכביש, אחד מהם עוכב על ידי המשטרה Suleiman Maswadeh סולימאן מסוודה

Get off my lawn, Yawn I'm a king, you're a pawn! Working for Zuck, WTF? Convolution revolution? More like a delusion! #ICLoseR (pronounced "I SEE LOSER")

The #NobelPrize committee couldn't reach Paul Milgrom to share the news that he won, so his fellow winner and neighbor Robert Wilson knocked on his door in the middle of the night.

By popular demand we are releasing lecture videos for Stanford CS224W Machine Learning with Graphs which focuses on graph representation learning. Two new lectures every week. Videos: youtube.com/playlist?list=… Syllabus: cs224w.stanford.edu

Makes us proud to know that CytoReason's computational models are helping Pfizer Inc. develop novel treatments, in less time and cost, for the betterment of the pharma industry and humanity at large. tinyurl.com/227hz6b2 #biotech #Pharmaceuticals

Creating tables in #rstats markdown always felt cumbersome. Until now, as I have tried the RStudio Visual Editor for the first time. The '/' search function makes the experience an absolute joy! Learn more here: blog.rstudio.com/2020/09/30/rst…

Iconic.

This was a much needed study. Bravo Ellen Foxman! This work adds to results by Mahdad Noursadeghi and colleagues that host response identified asymptomatic covid-19 patients one week BEFORE nasal PCR became positive! Host response-based diagnostics will be a key!

למה זה לא מפתיע אותי?

מה קורה כשמעמידים את החלטות הממשלה והכנסת במבחן המציאות? המוניטור - מדור חדש, בשיתוף המרכז להעצמת האזרח, הבודק, מנטר ועוקב אחרי מה שקרה ומה שלא קרה.

GPT-4 is getting worse over time, not better. Many people have reported noticing a significant degradation in the quality of the model responses, but so far, it was all anecdotal. But now we know. At least one study shows how the June version of GPT-4 is objectively worse than

SF’s most talented: -AI researchers -data scientists -software engineers All came to a mansion see what’s possible with AI agents. This stuff is insane. Live tweeting the demos from the AI Agents hackathon at AGI House w/ Wing VC @MultiON_AI 🧵:

If you are interested in reviewing research on alignment for LLMs, look no further. This new survey paper covers different aspects of alignment research such as data collection, training methodologies, and model evaluation. Aligning LLMs with human expectations is an active

"Any policy that obstructs ArXiv is just silly." 100%

Excited to share our production guide for building RAG-based LLM applications where we bridge the gap between OSS and closed-source LLMs. - 💻 Develop a retrieval augmented generation (RAG) based LLM application from scratch. - 🚀 Scale the major workloads (load, chunk, embed,

Thank you Yann, Here's the opening statement by Yann LeCun in the US Senate on Intelligences. Well worth watching. Here's the whole opening statement: targum.video/v/2023/9/20/6d…

Excited to release new repo: nanochat! (it's among the most unhinged I've written). Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single,

RIP prompt engineering ☠️ This new Stanford paper just made it irrelevant with a single technique. It's called Verbalized Sampling and it proves aligned AI models aren't broken we've just been prompting them wrong this whole time. Here's the problem: Post-training alignment

The most interesting part for me is where Andrej Karpathy describes why LLMs aren't able to learn like humans. As you would expect, he comes up with a wonderfully evocative phrase to describe RL: “sucking supervision bits through a straw.” A single end reward gets broadcast across

🚨 Anthropic just dropped one of the most mind-bending AI papers of the year. It’s called “Emergent Introspective Awareness in Large Language Models.” They tested whether models can actually notice their own thoughts. Not just say “I’m thinking…” but detect injected concepts