Let me put it another way. If you put a thousand human researchers in a room with all the existing data and came up with a process to assess their outputs and iterate on their best ideas, how long before they built an interstellar transport beam - fifty years? A hundred years?
Now do it with a thousand AI researchers, and feed back their test results to them and allow them to iterate. But this time, assume they can work maybe a million times faster than the humans, or maybe ten million times faster. They’re limited only by the time it takes to build and test their prototype hardware.
Now how long does it take?
I don’t think it’s clear that LLMs can have/express novel ideas.
I would argue an LLM by definition cannot generate _novel_ ideas.
Solving a non-trivial problem that hasn't been solved before is not something random walks on text token probabilities will get you. Text production algorithms have the problem of being unable to detect whether the text produced is internally consistent, let alone true in the logical sense. These two qualities are required for creating net new solutions to unsolved next-level problems.
imagine what it must be like to our chimp cousins, watching us light a fire, take off in a plane, summon another from beyond the hills without raising our voice.
Citation needed.
Debate is hard on the internet, but fortunately it's a temporary inconvenience because in future the infrastructure will be replaced with direct neural connections, turning the entire human race into a single giant mind with one coherent worldview.
The glib response to that "citation needed" is "Sir, or madam, this is not Slashdot."
https://www.youtube.com/watch?v=7OHTMbHCeRw
https://www.anl.gov/article/autonomous-discovery-defines-the...
https://arxiv.org/abs/2305.02251
https://sakana.ai/ai-scientist/
https://www.ncbi.nlm.nih.gov/books/NBK603480/
https://thevarsity.ca/2024/01/13/self-driving-labs-how-ai-co...
Have you heard of Google? I realise that carbon chauvinism is currently edgy, but progress is already being made.