Ask HN: Will GPT-3 bring a worthy competitor to Google search?
While I understand what GPT-3 achieved is not a full-fledged service like Google search with all its distributed computing infrastructure, but since GPT-3 has achieved the algorithmic part of the story, does it mean the infra part of the story is where the innovation lies to bring a competing search engine to Google search ?
9 comments
[ 43.9 ms ] story [ 1119 ms ] threadHas it? From what I've seen it's just an autocomplete that looks natural.
Just some things that GPT3 can't do:
- A large portion (of at least mine) queries are 'grep the internet' type of queries. GPT3's powers lie in directly opposite part of the spectrum.
- GPT3's output can not be trusted. It is basically a statistical output of the most likely words to be responding the prompt. In many cases it will be complete gibberish and you have no way of knowing (programmatically) that it is so that you could potentially replace it with something else.
- GPT3 is notoriously bad with numbers and dates.
Finally Google has managed to redefine what search means to the point that 'to search something' means 'to google something' and even if you had superior (by what measure?) results, if they don't match what we are used to getting from Google, you might have a barrier to adoption.
So my bet is that NLP models will augment the abilities of search engines, not replace them. We see that happening already.