Tsinghua's HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
A new MIT CSAIL blog post is making the rounds in AI circles this week, and it describes something that sounds almost ...
We compared 4 AI laptop chips in 2026. See if Snapdragon X2 Elite beats RTX Spark on NPU speed, battery life and price before you buy.
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 ...
Crypto deals in November 2026 come in three flavors: exchange sign-up rewards, derivatives bonuses and trading contests. The dollar figures run from a $10 token credit to a prize pool of up to ...
The 10 Best Claude Code Skills for PowerPoint and Slide Creation in 2026 can automate deck planning, PPTX generation, template reuse, and visual review.
Researchers at the Massachusetts Institute of Technology (MIT) have used OpenAI’s GPT-6 Astra to improve the mathematical performance of Alibaba’s Qwen3.5-0.8B AI model by directly modifying… ...
Foundry in the real world: Turning LLM hunches into verified findings – Security Loop Series, Part 2
See how Foundry turns LLM hunches into verified findings on Langflow, MLflow, and PyGoat, using an evidence gate and an honest look at token cost.
Astra identifies game policies from raw weight matrices and fixes reasoning loops in Qwen3.5-0.8B by editing 0.016% of parameters, lifting MATH-500 scores from 7.9% to 48.1% without training loops.
Tensor Memory (TMEM) On pre-Blackwell architectures, MMA results are accumulated in the register file, which creates two problems: the accumulator tiles consume a large number of registers per thread ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
With about 9.6 million parameters, the noise was almost completely gone. Radeon RX 9070 XT × Windows 11 ProThis time, I'm taking a slight detour from my usual local LLM topics to talk about an AI that ...
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