Tale as old as ML: people don’t understand it’s an assistance tool, and instead assume it’s always right.
Crazy how we tend to wave away even errors rates of 1% or less. One in a thousand is a lot.
Crazy how we tend to wave away even errors rates of 1% or less. One in a thousand is a lot.
I don't have the domain knowledge to even guess how good 90% is in molecular biology research.
We put dribbling halfwit morons in charge of everything. I'm thinking of Liz Truss as UK Prime Minister, but I'm sure most countries have their own examples.
Whether it's advancements in LLMs, with features like long-term memory, or breakthroughs in other areas of ml, it's not guaranteed that humans will remain needed in the research process.
> intelligence across the board.
There is a reason, actually: what is presently called an "AI" has no concern for the truth. It is a bullshit machine that aims to mimic the right answer.