
Russian Voice from a Box: Why Open Source TTS No Longer Sounds Like a 90s Robot
Remember those days when Russian speech synthesis sounded like torture? The voice of a stuttering robot from a cheap navigator that confused

EMNLP 2025: Why neural networks now check themselves (and why it's hard)
Imagine you wrote a complex essay, but instead of having a strict teacher with a red pen check it, a slightly more well-read classmate does.

International Security Report: AI learned to hack and befriend
Remember how at the first global AI safety summit in 2023, everyone discussed the hypothetical world domination by Terminators?

The Wall for LLMs: Why Skeptics Got It Wrong Again

AI and the Crisis of Truth: Why We Were Afraid of the Wrong Thing

Zero-padding: why extra zeros cost your neural networks too much

Digital Noah's Ark: why AI is digitizing the DNA of all living creatures

Gemini 3 and the Bluff: Why Neural Networks Are Playing Poker Now
It's time to admit the obvious: traditional benchmarks for neural networks are dying. When a model shows 90% accuracy on the MMLU test, we n

OpenClaw: Your New AI Assistant Is Already Preparing a Security Hole
Just yesterday we were amazed that ChatGPT could write poetry, and today we willingly hand over the keys to our email and bank accounts to e

Claude Code on a Diet: How to Run an AI Programmer for Free and Locally

OpenClaw: Why an Experienced Developer No Longer Reads Their Own Code

AI Crutches for Coding: Anthropic Confirmed That Speed Kills Understanding

YaCy: How to Take Back the Internet from Google and Disable Annoying AI

The Quiet Death of GPU: Why Your Neural Network Is Killing Video Memory Right Now
You've probably seen those reassuring graphs in monitoring: a flat temperature line, stable 65 degrees, and a complete sense that the system

SemanticZip: Why the Attempt to Compress Meaning 14x Hit Reality's Wall
We've grown accustomed to measuring progress in neural networks by context window size. First there were 4 thousand tokens, then 128 thousan









