There are plenty of theoretical use cases, sure, especially for AI because it’s basically just either statistics on very large datasets or heuristics. Most of us, if not all of us, use that pretty much daily.
LLM though is a lot of less obvious but one can easily imagine public research on language, namely being able to study how language evolved.
GenAI… also, in itself honestly it might even be the most interesting of all because it’s makes us pragmatically ask what it’s like to be creative.
Yet… all that is so SO different from the commercialization and the capture of it.
So public research in AI, I’m 100% behind it. It can be useful. VC backed for-profit systems that extract and capture value, no, nearly nothing legitimate can come out of this… but to be fair it’s not limited to AI, AI just happens to be the last thing they try to capture.
Honestly it’s trickier than most think.
There are plenty of theoretical use cases, sure, especially for AI because it’s basically just either statistics on very large datasets or heuristics. Most of us, if not all of us, use that pretty much daily.
LLM though is a lot of less obvious but one can easily imagine public research on language, namely being able to study how language evolved.
GenAI… also, in itself honestly it might even be the most interesting of all because it’s makes us pragmatically ask what it’s like to be creative.
Yet… all that is so SO different from the commercialization and the capture of it.
So public research in AI, I’m 100% behind it. It can be useful. VC backed for-profit systems that extract and capture value, no, nearly nothing legitimate can come out of this… but to be fair it’s not limited to AI, AI just happens to be the last thing they try to capture.