food-for-thought

Flipper One — we need your help

Ultimate collection of online dos games

Live coding session with Boris Cherny and Jarred Sumner

Thermodynamic Computing System for AI Applications

Openrouter for comparable models is 1/3rd the price and ~2x the speed

The harness is built from five extension points—CLAUDE.md files, hooks, skills, plugins, and MCP servers—each serving a different function. The order in which teams build them matters

The sefirot are the ten spheres on the Tree of Life. Each sefirah (singular of sefirot) represents a different aspect of the Divine, as well as aspects of human consciousness and existence. These are, from top to bottom

software bug that seems to disappear or alter its behavior when one attempts to study it

The same 732-byte Python script roots every Linux distribution shipped since 2017

collection of principles and patterns that shape software systems

Migrating from DigitalOcean to Hetzner: From $1,432 to $233/month With Zero Downtime

Code is run more than read

Five git commands that tell you where a codebase hurts before you open a single file. Churn hotspots, bus factor, bug clusters, and crisis patterns.

Gemma 4
31B IT

The omni-9 are Alibaba, Alphabet, Amazon, Apple, Huawei, Meta, Microsoft, Samsung, and Tesla

These 18 potential future arenas could yield a total of $29 trillion to $48 trillion in revenues and $2 trillion to $6 trillion in profits by 2040

What actually happens when you type a message into Claude Code? The agent loop, 40+ tools, multi-agent orchestration, and unreleased features, mapped straight from the source.

Chess in Pure SQL

1 Industrial and Commercial Bank of China 7,585.85 2 Agricultural Bank of China 6,979.43 3 China Construction Bank 6,204.37 4 Bank of China 5,248.22

1 Industrial and Commercial Bank of China 7,585.85 2 Agricultural Bank of China 6,979.43 3 China Construction Bank 6,204.37 4 Bank of China 5,248.22

101 Pandas Exercises for Data Analysis

This page collects architecture figures and fact sheets

Language models (LMs) often struggle to generate diverse, human-like creative content, raising concerns about the long-term homogenization of human thought through repeated exposure to similar outputs

# Try to read your SSH private key — denied by the kernel safehouse cat ~/.ssh/id_ed25519 # cat: /Users/you/.ssh/id_ed25519: Operation not permitted

single file of 200 lines of pure Python with no dependencies that trains and inferences a GPT.

What Claude Code Actually Chooses

Mass domestic surveillance.

Fully autonomous weapons

ASL-1 refers to systems which pose no meaningful catastrophic risk, for example a 2018 LLM or an AI system that only plays chess.ASL-2 refers to systems that show early signs of dangerous capabilities – for example ability to give instructions on how to build bioweapons – but where the information is not yet useful due to insufficient reliability or not providing information that e.g. a search engine couldn’t. Current LLMs, including Claude, appear to be ASL-2.ASL-3 refers to systems that substantially increase the risk of catastrophic misuse compared to non-AI baselines (e.g. search engines or textbooks) OR that show low-level autonomous capabilities.ASL-4 and higher (ASL-5+) is not yet defined as it is too far from present systems, but will likely involve qualitative escalations in catastrophic misuse potential and autonomy.