But, like Ahmed, he would like more research to be done on the long-term effects.
These threats have caused many professional workers’ stomachs to churn as they fear for their heads. Now, Jack Dorsey’s payments firm, Block, has made a move that vindicates some of the fears of the AI doomers.
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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?
We're all familiar with the high-pitched squeak of basketball shoes on the court during games, or tires squealing on pavement. Scientists conducted several experiments and discovered that the geometry of the sneakers' tread patterns determines the squeak's frequency, enabling the team to make rubber blocks set to specific frequencies and slide them across glass surfaces to play Star Wars' "Imperial March."。下载安装 谷歌浏览器 开启极速安全的 上网之旅。是该领域的重要参考