4 ms·
> You can’t actually trust ai systems For a lot of (very profitable) use cases, hallucinations and 80/20 are actually more than good enough. Especially when th
by anonymousab 2y ago
> You can’t actually trust ai systems
For a lot of (very profitable) use cases, hallucinations and 80/20 are actually more than good enough. Especially when they are replacing solutions that are even worse.
- player1234 2y agoWhat use cases? This kind of thing is stated all the time, never any examples.
- roguas 2y agoAll the usecases we see. Take a look at perplexity optimising short internet research. If I get this mostly right its fine enough, saved my 30 minutes of mindless clicking and reading - even if some errors are there.
- CooCooCaCha 2y agoYou make it sound like LLMs just make a few small mistakes when in reality they can hallucinate on a large scale.
- jedberg 2y agoAny use case where you treat the output like the work of a junior person and check it. Coding, law, writing. Pretty much anywhere that you can replace a junior employee with an LLM. Google or Meta (don't remember which) just put out a report about how many human-hours they saved last year using transformers for coding.
- still_grokking 2y agoWhat are examples of these (very profitable) use cases? Producing spam has some margin on it, but is it really very profitable? And else?