Watch the Very First YouTube Video, “Me at the Zoo,” Now 20 Years Old
openculture.com·4h
🖼️JPEG Archaeology
Researchers train AI to generate long-form text using only reinforcement learning
the-decoder.com·1d
🧠Intelligence Compression
How much code does that proc macro generate?
nnethercote.github.io·13h·
Discuss: Lobsters, Hacker News
🦀Rust Macros
LFCS Seminar Tuesday 1st July: John Longley
informatics.ed.ac.uk·3d
💻Programming languages
I wrote my PhD Thesis in Typst
fransskarman.com·3d·
Discuss: Lobsters, Hacker News
📝Concrete Syntax
Hey Devs! This is our first post — meet All Voice Lab!
dev.to·4h·
Discuss: DEV
🎙️Whisper
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
arxiv.org·2d
📝Concrete Syntax
Contextual modulation of language comprehension in a dynamic neural model of lexical meaning
arxiv.org·3d
📡Information theory
Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR
arxiv.org·9h
🎙️Whisper
Why Robots Are Bad at Detecting Their Mistakes: Limitations of Miscommunication Detection in Human-Robot Dialogue
arxiv.org·9h
🧠Intelligence Compression
ECCoT: A Framework for Enhancing Effective Cognition via Chain of Thought in Large Language Model
arxiv.org·1d
📐Format Grammars
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
arxiv.org·1d
🧠Intelligence Compression
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·9h
🧠Intelligence Compression
How I Built a Self-Correcting Prompt Generator with Multi-Stage LLM Calls"
dev.to·1d·
Discuss: DEV
🤖Lisp Machines
Programming Entry Level: how to interpreter
dev.to·1d·
Discuss: DEV
🔗Lisp
The Bitter Lesson is coming for Tokenization
lucalp.dev·2d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
ByteSpan: Information-Driven Subword Tokenisation
arxiv.org·2d
💾Binary Linguistics
A Nested Watermark for Large Language Models
arxiv.org·2d
💧Manuscript Watermarks
Learning-based safety lifting monitoring system for cranes on construction sites
arxiv.org·9h
📄Document Digitization
LARP: Learner-Agnostic Robust Data Prefiltering
arxiv.org·9h
💻Local LLMs