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botw44

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The whole thesis falls apart though. You can't be on your way to "power over everything" and get distilled into free Chinese models within months. Pick one.

The bottleneck is compute and data, not the model. That's why they could only gate it for a bit. The ITAR thing proves it: no nationality controls in place, so the only option was killing the whole thing. Not exactly what an all-powerful gatekeeper does.

Got tired of manually reconfiguring my outputs every time I moved my laptop between home and work. Existing tools were either broken, abandoned, or way more complex than needed.

So I wrote two small tools:

sway-displays interactive CLI for configuring outputs:

- Setup wizard that walks you through position, rotation, scale

- Save/load profiles (docked, portable, whatever)

- Calculates positions from relative placement (left-of, above, etc.)

sway-mirror zero-copy screen mirroring:

- DMA-BUF GPU-to-GPU transfer, no CPU copy

- Multiple scaling modes (fit, fill, stretch, center)

- Moves workspaces to source output automatically

Both are small, dependency-light, and designed for the "I just want my screens to work" use case.

Happy to take feedback or PRs.

The "python-gpt-po" project on GitHub is a modest yet highly functional tool I developed, designed to utilize OpenAI's GPT models for translating files into various languages. This Python-based application is a straightforward, no-frills solution that aims to make language translation more accessible and efficient. It's particularly suitable for individual users or small teams looking to overcome language barriers without the complexity or cost associated with more elaborate translation software. The integration with ChatGPT ensures competent and context-aware translations, offering a reliable way to communicate across different languages. If you have improvements or other questions let me know.