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.

Sugoi Hiroshima with Python [115] connpass We hold this regularly on the last Wednesday night of the month PyCon mini ...

Repeatable collaborative-agent experiments with participation observations and separate artifact evaluations - microsoft/amplifier-acp-lab ...

Apache Spark 4.3 brings stateful streaming with millisecond-scale latency, history-preserving Auto CDC, and faster data and ...

Running AI (Large Language Models) on a GPUThis is common knowledge for everyone who interacts with generative AI. AI models ...

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 ...

Modern baby monitors are expected to do more than stream audio or video; consumers now expect functions such as connected ...

Simon Willison ran the 17-gigabyte open-weight model locally and fed it floating-point arrays from four reinforcement-learning policies. Without calculators or code execution, Qwen identified Breakout ...

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Explore the AI tools inside MetaTrader 5, including the MetaEditor assistant and ONNX models, and how to try them step by ...

The HackerNoon library is now ranked by reading time created. Start learning by what others read most. The Future of Gaming Writing Contest runs from April 1 to June 30th w/$5300 in cash prizes for ...

Nullspace, Inc., developer of next-generation electromagnetic (EM) simulation software, today announced a partnership with ...