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showing 34351-34400 of 200407 pages (sorted by popularity)
Marco Wang
Flint | Personalized learning built for schools
Ben Ling - General Partner
Henry Kravis
Dialog (organization)
Daniel Gross | endorsed at Neo
Arvid Lunnemark
Xoom (money transfer service)
Dropbox IPO: an MIT success | Krishna K Gupta
‎Watch Your Friends & Neighbors - Apple TV
The Hidden Psychology of Netflix Thumbnails: How to Capture User Attention
Niu Lai 200 Dollar Chinese Animation Disaster
Love is the Tuesday evenings, not the Friday nights
Reading Incentives Without Losing Your Soul - Sarah Guo
Top 5 Takeaways with Ann Miura-Ko | Applied Intuition
Nurturing Talent and Integrity: Ann Miura-Ko on Mentorship and Entrepreneurship Education | Stanford Technology Ventures Program
Filmmaker Debi Wisch on the Secrets to Building Her Art Collection
Day 8 - May 6, 2026 (Wednesday) — MTS Trial Wiki
Beyond the Farm: a16z, Google and Malika Aubakirova’s second act
BREAKING: Bucky Moore Joins $30B AUM Mega Fund Lightspeed
Are.na Editorial
Tutorial | Voronoi Go
What language do language models speak? – Zoltan's Blog
Four LLM loss functions → four flavors of LLM misalignment — AI Alignment Forum
Everyone Is Still Undersizing the AI Market | Eric Vishria - YouTube
Let’s talk about encrypted reasoning – A Few Thoughts on Cryptographic Engineering
AI Is Learning at the Wrong Level of Abstraction — Matthieu Wyart - YouTube
Grant Application | AI Alignment Foundation
We have 3 years to solve alignment before superintelligence - YouTube
How Kimi K3 Pushes MoE to the Extreme Without Breaking - YouTube
Jacob X. Li on X: "Continual learning is widely discussed right now, but mostly as improving on the job or avoiding catastrophic forgetting. But it has a different, difficult, and already urgent form: Given nothing but a corpus of documents, how should AI systems develop expertise in a new, https://t.co/TflG4p8RRV" / X
What sort of maths are LLMs good at? | Gowers's Weblog
Dylan Sam
[2601.07087] When Should We Introduce Safety Interventions During Pretraining?
SK hynix and the HBM Revolution - YouTube
CS 294-277, Robots That Learn (Spring 2026)
Will financing bottleneck AI compute? An Anthropic case study
ICML Expo Talk Panel Foundation Models for Automated Trading
Stealing Reasoning Traces from Proprietary LLM APIs
Kevin Patrick Murphy on X: "Predicting the answer to interventional "what if?" questions — the outcome of an action you never took — need a *mechanistic* model, not a curve fit. And you can only learn one by *experimenting*. Experiments are costly, so the real game is **data efficiency**. Meet the Model https://t.co/dnXX6Oq8Pj" / X
Learning to Remember — Lawrence Feng
Subliminal Learning Happens at Every Rank, Given the Right Learning Rate and Enough Data — LessWrong
Lawrence Feng
Synthetic Persona Pretraining: Alignment from Token Zero
A Brief Overview of Cross Entropy Loss | by Chris Hughes | Medium
Gavin Baker on X: "@_sholtodouglas Sholto, thank you for setting the record straight. Larger issue is that multiple very serious people in Silicon Valley have heard some variation of this and believe it to be true. And the reason it is believable to so many is that it is consistent with Dario’s public messaging" / X
[2606.02609] Building Better Activation Oracles
Arya Tschand on X: "I recently wrapped up research internships at Google (working on TPU kernels) and NVIDIA (working on Rubin inference) Some thoughts on the differences in industry research culture, tips for interning as a PhD, how to publish, which offices have the best food, and many others! https://t.co/yfpq7gh1Z7" / X
Arya Tschand Personal Website
How to Parallelize a Transformer for Training — an explorable explanation