Linguistics

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Scoured 27 posts in 8.3 ms

markusheimerl/gpt: A generative pretrained transformer implementation

 🔢Homomorphic Encryption  Content type: Code
github.com··Hacker News

I built a sentiment analyzer for Hacker News (as an MCP server)

 💻Hacking
mcpize.com··Hacker News

A16z, Paradigm lead $175 million investment to move global credit markets onchain

 ⛓️Blockchain  Content type: News
coindesk.com··Hacker News

Steganography Without Modification: Hidden Communication via LLM Seeds

 🎭Steganography  Content type: Academic
arxiv.org··Hacker News

How LLMs Actually Work: A Friendly Map for Humans • oreoro

 🤖Machine Learning

How LLMs work | Practical Leaders

 🤖Machine Learning

Vibe Diaries: Training Nanochat

 💻Computers
Less-relevant results

Agentic RL: Token-In, Token-Out Done Right

 Formal Verification

How we fight GPU scarcity without compromise

 🛡️Network Security  Content type: Blog
equixly.com··Hacker News

A system programmer’s guide to LLM inference

 💻Computers  Content type: Blog

LLM AI Chatbots are letting me down every single day

 Formal Verification

"Token" Changing Hands — From Crypto Coin to AI Building Block

 ⛓️Blockchain  Content type: News  Content type: Blog

AI Is Computation

 🤖Machine Learning

The Read Model Zoo: Projections Beyond Tables - EventSourcingDB

 🔢Homomorphic Encryption  Content type: Blog  Content type: Reference

StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs

 🧬Cognitive Science  Content type: Blog

Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels

 🔍Reverse Engineering  Content type: Blog
socket.dev··Hacker News

The Token at the Seam – Learning in Robotics

 🧬Cognitive Science  Content type: News  Content type: Blog

mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]

 🤖Machine Learning  Content type: Code
github.com··Hacker News

What Are Tokens in LLMs?

 🤖Machine Learning  Content type: Blog

See, Act, Correct: three levers for working with a code agent

 Formal Verification  Content type: Blog

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