Google reveals Nano Banana 2 AI image model, coming to Gemini today

· · 来源:info资讯

I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:

Ackerman also noted that the feature could amount to "lip service" if notifications are inaccessible, difficult to navigate, or don't lead to "actionable change."

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For each model reasoning was enabled, and the reasoning effort is set to high. I included GPT 5.2 because it could be argued that it can reason better than mini. However, I couldn't test GPT 5.2 as much as the other models because it was too costly. Gemini 3 Pro was costly as well, but it didn't spend as much time as GPT 5.2 during reasoning which made it more affordable in my experience.

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Paramount, by contrast, was looking for a partner that will give it the scale to compete against industry giants such as Netflix and Disney.

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