-
Image segmentation with Segment Anything and its successors
For years, image segmentation models were trained for specific tasks. If you wanted to segment roads, tumors, vehicles, or people, you typically needed a dedicated dataset with pixel-level annotations
-
Topics Everyone Is Talking About No377
Solving 20 Erdős Problems with 20 Codex Accounts Running in Parallel • Dependabot version updates introduce default package cooldown • How I use HTMX with Go • A tiny cell that broke a big rule of biology • C Strings: A 50-Year Mistake…
-
Topics Everyone Is Talking About No376
Data Centers Have Added 23B to Consumers Electricity Bills • How FSF Sysadmins Defend Against Botnets with reaction • TS-2026-009: Insecure Argument Handling in Tailscale SSH Permitted Root Access • The Tower Keeps Rising • Keys, Essence, and Database Performance…
-
Context windows, KV-cache, and why long prompts get expensive
Modern large language models can accept remarkably long context windows. It’s tempting to assume that if a model supports 128K, 200K, or even 1M tokens, you should simply keep appending more informati
-
Topics Everyone Is Talking About No373
From coder to curator • Codex starts encrypting sub-agent prompts • Alternatives to run CUDA on non-Nvidia hardware • Indian scientists produce most detailed 3D atlas of the human brainstem • Claude is just Mr. Meeseeks…
-
Data leakage: the silent killer of ML projects
Machine learning projects rarely fail because the algorithm is not advanced enough. More often, they fail because the model learned from information it would never have at prediction time.
-
Topics Everyone Is Talking About No371
crates.io: development update • Zig Creator Calls Out the AI Replacement Narrative • The Graph That Should Be Front-Page News • Sam Neill has died • Why write code in 2026…