Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
北京时间周五凌晨，美国科技公司谷歌宣布上架新一代图像生成模型Nano Banana 2，使得高质量图像的生成更快、更便宜、更容易。作为背景，谷歌于去年8月底首发Nano Banana（Gemini 2.5 Flash图像模型）。由于其超级逼真的角色一致性，以及突出的自然语言理解和3D建模能力，引发全球网友狂热追捧，一举奠定谷歌在AI应用领域的江湖地位。（财联社），推荐阅读heLLoword翻译官方下载获取更多信息
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Олег Давыдов (Редактор отдела «Интернет и СМИ»)
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?