> When it comes to the big AI players feeding their future models I 100% just assume that they suck up any data we send them. Am I cynical?
There is a reason enterprise contracts and plans exist. And I think even on that account we're going to find out at some point that LLMs are training on that extremely useful data.
What I fail to understand: Who or how are these AI generated pull requests paid for? There is nothing to gain financially by creating all these AI generated pull requests - yet the increasingly more expensive tokens have to be paid for somehow. How is it paid for? Or are these authors using all their free GPT5.4-mini tokens from Github until hitting the rate limit, day after day? Or are they running some local AI model on their GPU like Qwen and heating the room in they work in, day after day?
How is the stability? A few years ago I could barely run The Great Green Mouse Hotel because of emulation flaws causing the CPU to do weird things and either crash apps or the Windows 98 itself, or the emulator.
What is the difference between this and using normal OCR and then running that output through a LLM? It seems such a bazooka way to kill a fly to me using a modelime Qwen.
Ouch, reminds me of hours debugging OAuth2 implementation in my Surface 1 app for Twitter because the nonce or some other checksum was not calculated correctly.