想象一下，你跑步时心率升高，指环感知并提议补充外星人电解质饮料；你路过橱窗时短暂驻足，眼镜捕捉视线并推送优惠信息……
Москвичей предупредили о резком похолодании09:45
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The agency has closed the deal with OpenAI, shortly after President Donald Trump ordered all government agencies to stop using Claude and any other Anthropic services. If you’ll recall, US Defense Secretary Pete Hegseth previously threatened to label Anthropic “supply chain risk” if it continues refusing to remove the guardrails on its AI, which are preventing the technology to be used for mass surveillance against Americans and in fully autonomous weapons.
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As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?