> Pivoting the company to be AI-first years ago
That seems like a weird thing to throw in there. Does anyone else read it as a hasty "we were doing AI before ChatGPT was cool"?
That seems like a weird thing to throw in there. Does anyone else read it as a hasty "we were doing AI before ChatGPT was cool"?
ML-driven account suspensions etc are universally hated and seem to have damaged Google's image, at least in the tech community.
During testing I often have to link/unlink the calendar with different users in my application. Some AI bot has evidently flagged this as 'suspicious' because I now get 'An error has occurred, please try again' when linking my application with Google Calendar. No further details of which error it might be or what I might do to resolve it.
To whom may I write to explain this situation and have my account unlocked? There is no one. I really despise this behaviour. Why should I put the time in to test and develop an application that benefits users of Google's calendar when they won't even lift a finger for me?
Well, why are you? They treat you like that because you let them.
They will probably never hire humans for support tickets. But they could "hire" their star model PaLM to solve support questions. It could be a good demo and a product useful for many companies. Even if it is only 70% or 80% effective, still better than nothing.
https://www.engadget.com/2017-05-20-at-i-o-2017-google-doubl...
Google Assistant, Tensorflow, Google Lens, Cloud TPU, Google Goggles, auto mail responses etc.
A lot of interesting stuff but nothing that has made the popular press like chatGPT, dall-e etc.
It's not like Google wasn't using ML before that either. Search, recommender systems for ads, anti-spam, translate. Deep learning just turned out to be a lot better than the tools we used to use.
definitely google is on the defensive right now[0] and just this week they had jeff dean do a "here's all our AI credentials" recap [1]
0: https://lspace.swyx.io/p/google-vs-openai
1: https://ai.googleblog.com/2023/01/google-research-2022-beyon...
2017
https://ai.googleblog.com/2017/01/the-google-brain-team-looking-back-on.html
https://ai.googleblog.com/2018/01/the-google-brain-team-looking-back-on.html (part 1)
https://ai.googleblog.com/2018/01/the-google-brain-team-looking-back-on_12.html (part 2)
https://ai.googleblog.com/2019/01/looking-back-at-googles-research.html
http://ai.googleblog.com/2021/01/google-research-looking-back-at-2020.html
http://ai.googleblog.com/2022/01/google-research-themes-from-2021-and.html
http://ai.googleblog.com/2023/01/google-research-2022-beyond-language.htmlI can't verify that, but whenever the "AI" behind my Google Home gets a bit more stupid (happens once a week nowadays, with it 'forgetting' even the few things that worked before), I am inclined to agree.
> they do not align well with what else happens in the field
i'm interested in this comment though. havent transformers changed the field? what is this referring to? mind getting your friend to elaborate?
Google search does not show signs of using a decent language model. If they did, then questions like this should work:
> "What is the world record for crossing the English Channel entirely on foot?"
This is the quote it gives on top of all results:
> And it was a Towson University graduate to do it the fastest. Two weeks ago, Nik Haynes '00 became a world-record holder by backstroking the English Channel in an astounding 12 hours, 52 minutes. Haynes bested the mark set by Tina Neill in 2005 of 13 hours, 22 minutes.Aug 27, 2020
And the rest of the page is anything but crossing on foot.
Ok, so it missed the core semantics of the question completely. In reality there have been crossings through the Channel Tunnel. And at some point in the distant past the sea level was low enough people could cross on foot.
This kind of problem happens in many searches - if you search topic X which is not very popular, and there is a topic Y close to X that is very popular, Google will reply to Y instead of X. Topic blindness.
Well, I know at least that the transformers from Google are widely used in industry outside Google.
There has been a systematic trend over the last 10 years to remove the controls advertisers have over their placements and spend and move towards a black box we are supposed to trust.
Considering this was the Tweet that he sent yesterday.. https://twitter.com/sundarpichai/status/1615820298305118221
As a followup to AI blogpost (which is clearly in response to ChatGPT) https://ai.googleblog.com/2023/01/google-research-2022-beyon...
Who cares if you were held the lead in the first leg of the marathon?
All that matters is who's in the lead now and who's in the lead at the finish.
https://techbeacon.com/enterprise-it/google-goes-ai-first-io...
Obviously. Whatever you want to call it, it needs to stop consistently vomiting up false statements before it's fully useful.
It feels like Google wants to recruit/queue my attention as a resource for their client's ads instead of just notifying me when a new video from someone I follow is available.