Right, that's a legit page info for that movie. But your search engine doesn't actually extract the answer to my question ("releases april 8th") from the page, and this should have been about as easy as it gets. The answer happens to be in the snippet, but the snippet is unreadable.
Now, I wasn't seriously expecting you to have localization of results at this point, but the query wasn't meant to trip the system up either. I only realized this wasn't a globally synchronized release date when comparing the results. (And again, this was about the easiest possible case for localization. IMDB has a page with structured data for release dates by country, and you clearly are using geolocation for the query that produced local weather results.)
The most important feature for our early users so far, based on the feedback we get, is factual information question answering, and there are some classes of query where Andi is already very useful. And as it gets better we hope it can save people a lot of time. Reader view is popular for the same reason because it saves people time and distraction.
At the same time, I think everyone (myself included) likes to play "let's trip up the AI" with something new like this, and it's fun and a great way to get training data and share a laugh on our Discord. When we don't log searches, it's some of the most valuable data we can get :)
Interestingly, with the Ambulance search I see:
```I found this deep answer on imdb.com:
Laurits Munch-Petersen (based on the film "Ambulancen" written by) Lars Andreas Pedersen (based on the film "Ambulancen" written by) Stars Jake Gyllenhaal Yahya Abdul-Mateen II Eiza González See production, box office & company info Coming soon Releases April 8, 2022 40 User reviews 28 Critic reviews Videos 3 Trailer 2:58 Official Trailer ```
I'n not familiar with the movie, but one thing that really helps us improve results is feedback on what the right result *should* be to help retrain based on examples for ranking.
At the moment, the alpha is very US-centric (imperial units only, no local business/maps etc), although our early user community is global and they're pushing us to add better international support quickly. Funnily enough, it's often decent at searches in different languages as it uses APIs and live content sources. But the front-end is not localized. As a small two person team, we hope to get some help on this front in future. There is a meaningful subset of folks who prefer not to have locally filtered results. So we have some work to do figuring out the right approach there.
With the wheat result, that's an interesting example. The other results look reasonable but the ranking was out there definitely. The Q&A process picked the wrong representation of the consensus result from across the set of similar views from Reuters, Fox etc.
This is a good case for user control of results I think.
We're working on anaphor resolution and better disambiguation but have a lot of work to do there. There are some simple things already in the alpha. eg try putting in "Paul Graham" :)