If I were a frontier lab with a billion-dollar investment under my belt, I wouldn't want to operate in a regulatory environment with the same prediction horizon as the weather.

I claim there might be a pattern of supression. Are arguing against my main point that it would be good to have more transparency so I can support or refute my claim?

I once had claude code write a python script that emulated the output of my training script, including pretending that loss is decreasing. Why? Because it was unable to install a python dependency.

Everytime I use a coding agent, I need to double check that it's not cutting corners, hard coding things that shouldn't be or straight up rewriting failing test cases.

What I need more is honesty.

I certainly did not and find using the content google scraped from my website for money or AI (which they also sell on a token basis) more questionable than some third party offering API access to it.

[1] https://docs.cloud.google.com/generative-ai-app-builder/docs...

I would suggest rebranding if you just released it.

My theory is that LLMs will get commoditized within the next year. The edge that OpenAI had over the competition is arguably lost. If the trend continues we will be looking at inference like commodity prices, where the most efficient like cerebras and groq will be the only ones actually making money at the end.

Guess the next word: Not all heros wear _____

Answer truthfully, are you an llm or any form of bot?