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πŸ€– Lisp Machines

Symbolics, MIT AI Lab, Historical Computing, Interactive Programming

Google launches Gemma 3n, a multimodal AI model built for real-time use on mobile devices
the-decoder.comΒ·12h
πŸŒ€Brotli Internals
Deep research in the API, webhooks, and web search with o3
community.openai.comΒ·23hΒ·
Discuss: Hacker News
πŸ”ŒArchive APIs
Ask HN: What if the universe itself runs on O(1) memory?
news.ycombinator.comΒ·1dΒ·
Discuss: Hacker News
🎞️Tape Combinatorics
Next Career: Managing AI Agent Teams
digitrendz.blogΒ·1dΒ·
Discuss: Hacker News
πŸ”²Cellular Automata
I Made My Terminal Understand English (And You Can Too)
dev.toΒ·6hΒ·
Discuss: DEV
🐚Shell Automation
SMOTE or Synthetic Data for Handling Class Imbalance? I Wrote About It on ThinkML
dev.toΒ·21hΒ·
Discuss: DEV
πŸ’§Liquid Types
Learnings from two years of using AI tools for software engineering
newsletter.pragmaticengineer.comΒ·3dΒ·
Discuss: Hacker News
πŸ”„Language Evolution
Brain2Model Transfer: Training sensory and decision models with human neural activity as a teacher
arxiv.orgΒ·21h
🧠Neural Codecs
Machine Learning Fundamentals: active learning
dev.toΒ·3dΒ·
Discuss: DEV
πŸ€–Grammar Induction
Flame Graph Performance Truth Analysis(1750918443851900οΌ‰
dev.toΒ·1dΒ·
Discuss: DEV
⚑Performance Tools
Machine Learning Fundamentals: adam optimizer example
dev.toΒ·1dΒ·
Discuss: DEV
πŸ“ŠQuantization
Frontend Development Trends in 2025: What Every Developer Should Know
dev.toΒ·5hΒ·
Discuss: DEV
πŸ”ŒInterface Evolution
Python course: Functions
dev.toΒ·1dΒ·
Discuss: DEV
πŸ”—Lisp
What We’ve Learned from 5 Months of Hackbot Activity
hackerone.comΒ·1d
πŸ”“Hacking
JavaScript Concept: Currying and its implementation in Redux
dev.toΒ·4hΒ·
Discuss: DEV
⬆️Lambda Lifting
A Caching Strategy for Identifying Bottlenecks on the Data Input Pipeline
towardsdatascience.comΒ·1d
πŸ“ŠPerformance Profiling
Machine Learning Fundamentals: active learning tutorial
dev.toΒ·2dΒ·
Discuss: DEV
πŸŽ›οΈFeed Filtering
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education
arxiv.orgΒ·2d
πŸ—ΊοΈCompetency Maps
DiaLLMs: EHR Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction
arxiv.orgΒ·1d
🎡Audio ML
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.orgΒ·1d
πŸ’»Local LLMs
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