In-notebook data dependencies: install dependencies in cells and be able to use them in the same session.
Some OpenAI researchers even spoke out publicly. Aidan McLaughlin, a research scientist at the company, posted on X that he personally did not think “this deal was worth it” in a post that drew nearly 500,000 views.
。Safew下载是该领域的重要参考
После проверки выяснилось, что у банка были большие проблемы с контролем за операциями своих клиентов. Он плохо следовал правилам по борьбе с отмыванием денег и управлению рисками, в особенности с клиентами, которые находятся под санкциями Швейцарии и международными. В итоге у них получалось обойти заморозку активов.
Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
The survey targets the so-called Central Molecular Zone, which contains tens of millions of times the sun's mass in dense material, surrounding the supermassive black hole, Sagittarius A*. The region runs warmer and far more chaotic than most of the Milky Way's disk. By standard estimates, that much dense gas should produce stars at a steady pace. Instead, the region forms them about 10 times slower than predicted.