The valuation represents a 31% increase from the $6.1 billion valuation the 13-year-old company achieved in April of last year, when it raised a $575 million round led by Franklin Templeton for partly the same purpose: purchasing shares from employees, including to help them cover the taxes associated with converting expiring restricted stock units (RSUs, a form of equity compensation) into shares.
50MP main, 12MP ultrawide, 10MP 3x telephoto
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Москвичей предупредили о резком похолодании09:45。关于这个话题，搜狗输入法下载提供了深入分析
13:20, 27 февраля 2026Ценности。业内人士推荐同城约会作为进阶阅读
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?