Master your clipboard history and supercharge your productivity
techspot.com·13h
🗜️LZW Variants
The Curiosity Economy: A future scenario
schoolofcuriosity.substack.com·3h·
Discuss: Substack
🏛Digital humanities
Show HN: AI-gent Workflows – locally reasoning AI Agents
ai-gents.work·22h·
Discuss: Hacker News
⚡Proof Automation
How much code does that proc macro generate?
nnethercote.github.io·1d·
Discuss: Lobsters, Hacker News, r/programming
🦀Rust Macros
What LLMs Know About Their Users
schneier.com·1d·
Discuss: Hacker News
💻Local LLMs
LFCS Seminar Tuesday 1st July: John Longley
informatics.ed.ac.uk·3d
💻Programming languages
[D] EMNLP 2025 Paper Reviews
reddit.com·15h·
Discuss: r/MachineLearning
🔬Academic Search
I wrote my PhD Thesis in Typst
fransskarman.com·4d·
Discuss: Lobsters, Hacker News
📝Concrete Syntax
Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing Task
media.mit.edu·3d·
Discuss: Hacker News
🧠Intelligence Compression
Learning to Be a Transformer to Pinpoint Anomalies
arxiv.org·5h
🤖Grammar Induction
Why Robots Are Bad at Detecting Their Mistakes: Limitations of Miscommunication Detection in Human-Robot Dialogue
arxiv.org·1d
🧠Intelligence Compression
A Nested Watermark for Large Language Models
arxiv.org·3d
💧Manuscript Watermarks
From expected to actual: Kotlin doesn't reinvent, it reuses 🔄
dev.to·9h·
Discuss: DEV
💧Liquid Types
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·1d
💻Local LLMs
Brains over bots: Why toddlers still beat AI at learning language
phys.org·2d
🤖Grammar Induction
DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
arxiv.org·5h
🧠Neural Codecs
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·3d
⚡Modern Compression
Scrape Trending Keywords, Auto-Write Posts, Earn Traffic—This System Works – Suhaib Bin Younis
dev.to·1h·
Discuss: DEV
🕵️Feed Discovery
The value of human and machine in machine-generated creative contents
arxiv.org·3d
🧭Content Discovery
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
arxiv.org·2d
💻Local LLMs