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Tsinghua study: AI coding agents cut costs 26% by rewriting their own scaffolding

Tsinghua's HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...

'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance

In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...
XDA Developers on MSN

I stopped giving ChatGPT, Claude, and Gemini detailed prompts for a week, and one struggled more than I expected

Do we really need to spoon-feed AI anymore?
GitHub

Reproducible, failure-driven experiments for tool-using agents.

Reproducible, failure-driven experiments for tool-using agents. Deterministic evaluation, validated proposals, and LangGraph adaptive testing. - s2leh/EvalForge ...

Watching "Wing Art Lab" at Sorasaya Kitchen.

Yoshikazu TatsumotoThinking it would be a dance-only showtime, I felt a flicker of anxiety when I realized it was an ...

Just Splitting Mahjong Tiles Leads to a Massive Flowchart—The Invention of Recursive Functions

When studying programming, you notice something strange.Processes that are extremely complex for humans to think through can sometimes be written surprisingly concisely using functions.A prime example ...
eu.36kr

MIT allowed GPT-6 Astra to directly modify Qwen's weights, and its math scores have soared.

MIT has unveiled an innovative, groundbreaking paradigm dubbed "Weight Space Programming", representing a transformative new ...
kucoin

MIT researchers use GPT-6 Astra to enhance Qwen's mathematical ability by 6x

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
shattered.io

OpenHands Local Setup: 12 Steps, 60 Min [2026]

OpenHands local setup in 12 steps: run Agent Canvas with Ollama and a local Qwen model in sandboxed Docker, plus a preflight ...
Anthropic

LLMs are making formal software verification feasible at a much larger scale

Claude formally proved security properties in the compiled code of 123 open-source libraries. Along the way, it found bugs ...
GitHub

README.md

Paper: Skill-based Model-based Reinforcement Learning, especially Section 3.3, equations 2–5. This is an educational adaptation of offline joint pretraining, not a complete SkiMo reproduction. You ...
tmgm

Exponential Moving Average (EMA): Formula, Settings & Strategies

The Exponential Moving Average (EMA) is a technical indicator that measures trend direction by averaging price data while assigning greater weight to recent prices, which makes the EMA more responsive ...