OpenAI raises $110B in one of the largest private funding rounds in history
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?，更多细节参见搜狗输入法2026
人形智能体Unitree G1身高约132厘米，全身拥有23-43个关节电机，具备超大运动角度空间，可完成动态站起、舞棍等高难度动作，并能通过深度强化学习持续进化。具身智能新物种Unitree Go2则配备自研4D超广角激光雷达，在大模型赋能下大幅提升环境理解与决策能力；其关节峰值扭矩达45N.m，支持跳跃、倒立等丰富姿态。，这一点在搜狗输入法2026中也有详细论述
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