The article mostly talks about IA (instant answers) which are notoriously hard. The recent advances in machine learning have made the technology more approachable, so startups like Kagi Search (disclaimer: founder) can also leverage latest advances in NLP and compete on this ground. To give just a few examples: Query 1: how many stars in the usa flag Google: https://cln.sh/63sVzh Kagi: https://cln.sh/bFEHsD Pretty su…
Right now the Google Assistant will correctly transcribe the request to a Google search... Only for the search to interpret “ml” as “miles” and, faced with the discrepancy between the length and a volume, cube the miles. So I am expecting an amount that is like 1 oz because I am converting like 30 mL... and I instead get 4 quadrillion ounces (exact number is 1 mi³ = 140,942,994,870,857 + 1/7 oz because of course it's got that extra 7th in there what were you expecting from our ridiculous US system, haha).