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Scoured 62 posts in 11.5 ms

what we learned: radical softness

 📚Learning Science
designboom.com·
Less-relevant results

Meetings are eating your margins

 ✍️Comedy Writing  Content type: Blog
blog.rescuetime.com·

Tired of GitHub Trending being GitHub-only, so we made a multi-forge version (GitLab and Codeberg included)

 🔌Embedded

gaelazzo/python_chess: Chess trainer

 📚Learning Science  Content type: Code
github.com··Hacker News

TXT..ↀ..TXT

 📚Learning Science
api.raindrop.io·

Neural Field Tokenizations with Hierarchy and Spatial Locality Priors

 📚Learning Science  Content type: Academic
arxiv.org·

The Training Didn't Fail—Your Diagnosis Did: Why Everything Is Not A Knowledge Gap

 📚Learning Science
elearningindustry.com·

Human-Like Neural Nets by Catapulting

 📚Learning Science
gwern.net··Hacker News

I built a black-and-white e-ink display so I'd stop checking my phone 60 times a day

 ✏️Design
quietdash.com··r/webdev

True Brain Multitasking Is Possible

 📚Learning Science
neurosciencenews.com·

Why Your Most Important Work Always Gets Done Last

 ✏️Design  Content type: News
siliconopera.com·

What Improves International Meeting Accuracy in Global Teams

 🔌Embedded Systems
ziuma.com·

WebKit finally gets support for fully customizable select elements

 ✏️Design

Vaccarini-Lorenzo/ProductivityProxy

 🔌Embedded Systems  Content type: Code
github.com··Hacker News

Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments

 📚Learning Science  Content type: Academic
arxiv.org·

Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning

 🔌Embedded Systems  Content type: Academic
arxiv.org·

campfirium/foliole:一款易于使用的渐进式阅读应用程序。

 📚Learning Science  Content type: Code
github.com·

MineXplore: An Open-Source Reinforcement Learning Exploration Benchmark for GNSS-Denied Underground Environment

 🔌Embedded Systems  Content type: Academic
arxiv.org·

When the Scaffold Stays On: AI, Practice Style, and Screening in Elite Skill Formation

 📚Learning Science  Content type: Academic
arxiv.org·

R-APS: Compositional Reasoning and In-Context Meta-Learning for Constrained Design via Reflective Adversarial Pareto Search

 🔌Embedded Systems  Content type: Academic
arxiv.org·
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