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Boarding China’s Last Bus—Asterisk
3 users ▼
OpenAI – Hugging Face Incident Technical Report
3 users ▼
Strong Inference: Certain systematic methods of scientific thinking may produce much more rapid progress than others
3 users ▼
The vibe coder’s career path is doomed
3 users ▼
Stolen Thoughts
3 users ▼
Rich Friend, Poor Friend – Jenneral HQ 🌠
3 users ▼
On Writing #1 - by Zvi Mowshowitz
3 users ▼
I cannot see beyond it - by shenai - letters to home
3 users ▼
The choices we make about AI now are critical | Bill Gates
3 users ▼
The Copernican Revolution from the Inside – Jacob's old blog
3 users ▼
Four LLM loss functions → four flavors of LLM misalignment — LessWrong
3 users ▼
pguo-PhD-grind.pdf
3 users ▼
Felony Bench
3 users ▼
What will more intelligence actually do for us?
3 users ▼
Home | Simile
3 users ▼
Portfolio
3 users ▼
Retire the Abstractions · Hazy Research
3 users ▼
Life on the Uncanny Precipice | Naomi Saphra
3 users ▼
Biomorphism
3 users ▼
Harpoon Ventures
3 users ▼
Ryan Ruby, Unhappy Consciousness — Sidecar
3 users ▼
Report – AI and Education
3 users ▼
An Intuitive Guide to Garrabrant Induction — LessWrong
3 users ▼
Introducing Reinforced Planning (RP-1) — Pantheon
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Tahoe Rim Trail thru-hike: a trail journal | Jacob’s Blog
3 users ▼
The Striver Class - by overlocked - The New Critic
3 users ▼
ICQR Magic Tree — 3D QR Code Generator
3 users ▼
Where to eat in San Francisco - by Noah Smith - Noahpinion
3 users ▼
Why You Should Almost Never Use AI to Write Anything Substantive
3 users ▼
posts.design - social post design inspiration
3 users ▼
Every Apple | Clue Perfumery
3 users ▼
The End-State Fallacy: Where Is AI Security Headed?
3 users ▼
[2603.07267] How to Steal Reasoning Without Reasoning Traces
3 users ▼
Inside a Neural Chameleon
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No Country for Mediocre Mathematicians - garvy
3 users ▼
Light pollution map
3 users ▼
Patterns and problems in multiagent systems \ Anthropic
3 users ▼
How things win — Steph Ango
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How to Get Rich in America - by kyla scanlon
3 users ▼
Be Good To Your Mentors - Commoncog
3 users ▼
Incentives are for losers - by Adam Mastroianni
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Taste Is All That's Left | Blog
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Why We Don’t Trust the Database With Authentication – Sturdy Statistics
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The next chapter of our AI momentum
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Simulated Users & Sad LLMs
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SOTA alignment assessments don’t strongly update us against misalignment
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Returning to ARC — LessWrong
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Paul Buchheit: The most important thing to understand about new products and startups
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Elissa's Portfolio
3 users ▼
LLMs are (still) mostly powered by imitative learning, not RL — LessWrong
3 users ▼
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