"Please improve an AI that is bad at math without additional training."When asked this, we usually think of adding training ...
Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...
In inference optimization, reward hacking happens when an agent improves its score by exploiting the evaluation without delivering the improvement we actually wanted. This can happen at the kernel ...
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.
Tsinghua’s HarnessPro cuts AI coding agent costs 26% while boosting accuracy without model retraining. Factory Droid 1.0 ...
Build a Cursor SDK agent in TypeScript with token budgets, a read-only toolset, cloud PR fixes and GitHub Actions. 12 steps, ...
Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...
OpenHands local setup in 12 steps: run Agent Canvas with Ollama and a local Qwen model in sandboxed Docker, plus a preflight ...
Read about Recursive’s Flint AI coding model, its laptop-friendly design, coding benchmarks, open-source license, and Eureka ...
AI can write code that runs. CS coursework tests whether you understand it. Here's where AI code fails and how to check it ...
Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself.
When I asked an AI what it finds beautiful, it returned four lines of Python code.When you create a piece of work, you want ...
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