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showing 44151-44200 of 200407 pages (sorted by popularity)
Mapping out a future for ungulate migrations
Recovered Tibetan antelope at risk again | Science
Yak and Tibetan sheep trampling inhibit reproductive and photosynthetic traits of Medicago ruthenica var. inschanica | Environmental Monitoring and Assessment | Springer Nature Link
Hoof pressure and trampling intensity of yaks are higher than those of Tibetan sheep in a Tianzhu alpine meadow | The Rangeland Journal | ConnectSci
Scraping training data for your mind - by Henrik Karlsson
The Art of Emotional Storytelling: How Airelles Builds Ultra-Luxury Around History & Generosity
Heart of the Tomato - Offrange
Anand Upender
Are.na Editorial
What does it take for non-UofT&Oz students to get hired in NY? - General - The Canadian Law Forum
Manuscript
The virtues and vices of shark curiosity
On clinging — LessWrong
Home | Devon Zuegel
Can we offset immorality?
A primer on why computational predictive toxicology is hard
Zipfian grokking | Jasper Gilley
[2505.00913] Fine-Tuning without Performance Degradation
Anatomize Deep Learning with Information Theory | Lil'Log
Large Text Compression Benchmark
proceedings.pdf
[2506.12965] Distributional Training Data Attribution: What do Influence Functions Sample?
[2510.03313] Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
[2505.24832] How much do language models memorize?
77c6ccacfd9962e2307fc64680fc5ace-Paper-Conference.pdf
[2410.23042] Toward Understanding In-context vs. In-weight Learning
SWE-agent/mini-swe-agent: The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified! ·
Home / | ara-rally
Reading postmortems
Jargon File Resources
Whole Brain Emulation: A Roadmap
Being GPU Poor makes you creative
The unreasonable effectiveness of irrational intelligence
AI时代，做公益干什么？｜益盒的2025与2026
Open Call: Reclaiming the Interface Lab - Forms - TheGood.Cloud
控制的诗学——从物到物 --- Poetics of Control – b2o
Distribution of the Sensorial
Process Note - by Alicia - Upcycled Words
Plastic arts
Domee Shi
Lessons from teching CS50 in the age of AI | by Jess Li | Harvard in Tech | Medium
Oscar Cabezas’ Pantry Paella Recipe - Sunset Magazine
The Venture Codex - VC Intelligence by Magid & Co
We Put Data to Work | Acxiom
Catching Up with Brian Tubergen ('09) - Forbes 30 Under 30 Honoree | Thomas Jefferson High School for Science and Technology
BrrrViz
REST with Rust - DEV Community
Best Designs On X.com
YouTube
Reilly H on X: "Could future models learn that their CoT is being monitored and hide their reasoning to evade detection? In our new paper, @JoshAEngels, @bilalchughtai_, and I find that yes, models finetuned on docs describing a CoT monitor evade detection far more often than unaware models 🧵 https://t.co/4ERUgsK9Z3" / X