Turns out, my old Python assignments had plenty left to teach me.

When I was in my PhD program, I once impulsively bought a thick Python programming book at Junkudo and read it. I thought that if I read it from cover to cover, I might be able to provide more decent ...

Hello.Last time, I wrote about converting massive amounts of CSV data into Parquet format and using DuckDB to enable high-speed searching.At first, handling tens of millions of records was a major ...

AI agent evaluation framework UAEF, open-sourced by AWS, scores agents built on different frameworks across 36 metrics. Its ...

At TechSparks 2026, Google Cloud’s Rajesh Shewani walked through how businesses are using Gemini for voice, agents, and ...

This in-depth guide systematically unveils the full technical roadmap of TokenSpeed, spanning every critical phase from ...

MIT CSAIL's "weight-space programming" has a frontier LLM read and edit neural network weights directly, with no gradient descent. Surgical edits ended Qwen's reasoning loops, but the results come ...

Docker tutorial for 2026: build a multi-stage, non-root Flask image in 12 steps, scan it, lock down the runtime and push it ...

UCSB and Microsoft's ScholarEvolve generates code from academic papers to improve an agent's harness without retraining model weights. It raised Qwen3.5-27B's task completion rate to 81.4%. Here is ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.

Claude Fable 5.2 generates output up to 30% faster than Claude Fable 5.1 and reaches Claude Opus 5.5 coding scores at roughly half the cost per task.