AI has been eating up the world's supply of memory and companies like Micron have even abandoned their consumer brands to focus entirely on B2B supply. Other components like GPUs have also been feeling the pressure.
The Oakley Meta Vanguard are new displayless AI glasses designed for running, cycling and action sports with deep Garmin and Strava integration, which may make them the first smart glasses for sport that actually work.
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The TV also comes with customizable bezels that let you change the look to match your space. They’re easy to swap, so you can change your TV’s style without replacing the whole unit. Choose from modern brown, modern white, modern teak, or sand gold metal.
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:
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- The package MUST also support Python (via `pyo3` and `maturin`).
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