The AI technology I actually want is better filtering on my email, not helping people author more cold-call emails I'm not going to read

https://www.youtube.com/watch?v=6DaJVZBXETE

A new era for AI and Google Workspace

YouTube
@solidangle what we want doesn't matter to them; what a paying customer (like a spamming enterprise) wants matters...
@BartWronski tbh I don't think they care about any paying customers other than advertisers, enterprise or not - not in their DNA. πŸ˜“
@solidangle they definitely care; they are aware that the ad well will dry out (because of regulators and competition; see what happened to Facebook revenue after Apple introduced the App Tracking change).
Last few years there was a huge focus on stuff like hardware, subscriptions, cloud, and enterprise - almost desperate to start generating "some" non-ad revenue.

@BartWronski I think they care about the revenue. But they have a long way to go with Enterprise support (we use Workspace). I'm comparing them to someone like MS who has made bank on enterprise for decades.

It's a customer service mindset they are not used to having.

@solidangle @BartWronski and a massive sales and support infrastructure that goes with it.

@Migueldeicaza @solidangle they certainly don't have the right mindset, infrastructure, support etc. Google DNA is being "scrappy" and believing all problems can be solved by a single brilliant engineer who hacks stuff together. ;)

...but it doesn't mean that they don't *want to* become the new Apple and Microsoft combined. :)

@BartWronski @Migueldeicaza @solidangle
Bart, you just described Meta. At this point with all the new startups copying MO and jargon (β€œimpact”, anyone?) I really wonder how many of the current tech companies are converging asymptotically to β€œthe Google/Meta way”

@nemo @Migueldeicaza @solidangle I mean, they are "kind-of" justified in believing so - the whole Silicon Valley "hacker" culture, the history of 90s and early 00s startups - two students in a friend's garage revolutionizing the world and valuated at billions yada yada and founders cherishing those memories and leaking them into culture.

But, obviously, what worked at 10 employees doesn't necessarily scale to > 100k and when wanting to deal with professional companies or hardware factories.:)