I already am managing Unity from my terminal, using Codex. Although one issue is that PowerShell + C# reflection gets flagged as malware by Windows Defender.
This is the biggest lesson I got from LMMs. I have a 1 million LOC vibe coded project that I can only imagine would fit in a few hundred thousand lines. But it's still holding up, I expected some kind of development collapse long before this point.
I don't think the bug is anything special, just another confusion the model can make from it's own context. Even if the harness correctly identifies user messages, the model still has the power to make this mistake.
General Intelligence has already been demonstrated to be possible by the human brain, so I don't really get how physicality is an argument against AGI. Who is to say biological computers won't be built?
LLMs can actually make up for their negative contributions. They could go through all the references of all papers and verify them, assuming someone would also look into what gets flagged for that final seal of disapproval.
But this would be more powerfull with an open knowledge base where all papers and citation verifications were registered, so that all the effort put into verification could be reused, and errors propagated through the citation chain.
I was curious what kind of company needed to develop all these different kinds of advanced tech. Turns out it's just so they can be sneaky and trade shares quickly. Kind of sad IMO.
You can literally today prompt ChatGPT with API instructions to drive a car, then feed it images of a car's window outlooks and have it generate commands for the car (JSON schema restricted structured commands if you like). Text can represent any data thus yes, it is general.
There was another concept trying to operate on a logical view of the world, called copyright. It tried to establish a few simple rules, with the goal to promote art and science. However copyright was long ago perverted by capitalism to instead promote corporate profits.
Generative AI exposes how broken copyright law is, and how much reform is needed for it to serve either it's original or perverted purpose.
I would not blame generative AI as much as I would blame the lack of imagination, forethought and indeed arrogance among lawmakers, copyright lobbyists and even artists to come up with better definitions of what should have been protected.
Those Russians have their own government to blame, which in addition to stealing Ukrainian land has stolen assets of Western companies, including billions in planes. They are legitimized in overthrowing their poor leadership.
YouTube literally allows trading scams into their ad program, which they force onto users through their terms of service. This is far worse, as naive users may think that YouTube has vetted those ads.
One good use case is unit tests, since they can be trivial while at the same time being cumbersome to make. I could give the LLM code for React components, and it would make the tests and setup all the mocks which is the most annoying part. Although making "all the tests" will typically involve asking the LLM again to think of more edge cases and be sure to cover everything.