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I don't think so, I use GrapheneOS and I think I can't even use the USB-C port for anything other than charging (which should be configurable).

It is configurable. It can be used to charge (either way), for data transfer, or for remote control. You can set it up with a fixed behavior, or to request permission everytime you plug a data cable.

I would assume that if a tool is there and the alternative too costly that they would use the tool instead of buring their project. Just today I stumbled over this for example, where they use GenAI as well: https://reddit.com/comments/1prqfsu


Not for coding, but today I stumbled upon these two building their passion project using GenAI, which would otherwise perhaps not be possible: https://reddit.com/comments/1prqfsu


It doesn't have to be hyped to be used, for example today I found these two building their passion project using GenAI, which would otherwise maybe not possible, who knows: https://reddit.com/comments/1prqfsu


This is just one example, but today I found this where two people build their passion project using GenAI for image generation (+ photoshop), maybe otherwise this project wouldn't even be possible: https://reddit.com/comments/1prqfsu


Though this Codex version isnt on the leaderboard, GPT-5.2-Medium already seems to be a bit better than Opus 4.5: https://swe-rebench.com/


Is that your website or something? You keep promoting it


No, I am not affiliated with the website, I just want to see more discussions based on uncontaminated benchmarks and feel that people rely too much on benchmarks that companies can conduct themselves. If that is the case, I don't feel I can trust them. For general LLM capabilities, for example, I would also tend to rely on dubesor [1] rather than artificial analysis or similar leaderboards.

[1] https://dubesor.de/benchtable


At least on swe-rebench it does pretty well: https://swe-rebench.com/


Your experience seems to match the recent results from swe-rebench: https://swe-rebench.com/


According to SWE-Rebench Anthropic and OpenAI are really close in performance, while GPT-5.2 costs less than half the cost of CC per problem.

https://swe-rebench.com/


Interesting. So similar to the vision encoder + projector in VLMs?


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