Anthropic Faces US Deadline Over Pentagon AI Feud | The Pulse 2/27

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上訴庭認為,力高佔用處所違反租賃條款。但在隱瞞方面,按照普通法,合約方一般無責任披露自己違約的事。

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?

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就在与谷歌达成协议的前几天(2月24日),Meta 刚刚向 AMD 砸下了一份震撼业界的定海神针:承诺在未来五年内采购价值高达 600 亿美元的 AI 芯片。为了深度绑定,Meta 甚至换取了最高可达 1600 万股的 AMD 股权认购权。

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