Every analyzed article

Work with Codex from anywhere (openai.com)

We don't know why Malawi is poor (newsletter.deenamousa.com)

Careers (hightouch.com)

ChatGPT Wants Access to Your Bank Account - Firethering (firethering.com)

GitHub - neilsonnn/image-blaster: An image-to-world skillset for Claude. (github.com)

I love Linux, but I can't quit Windows (jpain.io)

The Sigmoids Won't Save You (astralcodexten.com)

Project Gutenberg (gutenberg.org)

Steve Jobs Next Computer: His Forgotten Exile Years (spectrum.ieee.org)

The Wonders of AI: We Are Retiring Our Bug Bounty Program (turso.tech)

Zenith Tech Summary (smorgasb.org)

Check Your F**cking Sources, People! (brodzinski.com)

ASCII by Jason Scott (ascii.textfiles.com)

RevSwap.ai — Trade Revenue With Other Startups, Instantly (revswap.ai)

Your Power Tools Got Worse On Purpose (worseonpurpose.com)

A 0-click exploit chain for the Pixel 10: When a Door Closes, a Window Opens (projectzero.google)

AI is wiping out entry-level jobs. Here's how colleges can fill the gap | Fortune (fortune.com)

The Wonders of AI: We Are Retiring Our Bug Bounty Program (turso.tech)

The holes we painted (and why we did it anyway) (imagenotfound.writeas.com)

“Too Dangerous to Release” — Or Just Too Expensive? The Real Reason Anthropic Is Hiding Its Most Powerful AI (kingy.ai)

The old world of tech is dying and the new cannot be born (baldurbjarnason.com)

Radicle: the sovereign forge (radicle.dev)

GitHub - aymanhs/nanotdb: A tiny, append‑only time‑series database designed for long‑running sensor data on modest hardware. (github.com)

Welcome to the strip mining era of open source security (metabase.com)

Steve Jobs Next Computer: His Forgotten Exile Years (spectrum.ieee.org)

Thomas Gazagnaire :: O(x)Caml in Space (gazagnaire.org)

Where’s Ed: Anthropic Told Court $5 Billion But Public $19 Billion (flyingpenguin.com)

Anti-immigration AI videos traced to overseas fakers, BBC finds (bbc.co.uk)

Geography is four-dimensional | Derek Sivers (sive.rs)

GitHub - Andyyyy64/whichllm: Find the local LLM that actually runs — and performs best — on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. (github.com)