as someone who worked at the company, i understood the meaning behind the tweet without the additional clarification. i think she assumed too much shared context when making the tweet
Working in a large scale org gets you accustomed to general problems in decision making that aren’t that obvious. Like I totally understood what she means and in my head nodded with “yeah that tracks”.
People make mistakes, it's not that deep. The correct incentive to encourage is admitting, and understand and forgiving when necessary because you don't want to encourage people to hide mistakes out of shame. That only makes things worse.
Especially considering forgetting the delta between yours and someone else's shared context is extremely common. And the least egregious mistake you can make when writing an untargeted promo post.
My bad. I will be more mindful tomorrow when someone at a big tech company yet again make-a-mistake in the same direction of AI hyping. Maybe with a later addendum. Like journalists that write about a Fatal Storm In Houston and you read down to the eighth paragraph and it turns out the fatality were among pigeons.
> My bad. I will be more mindful tomorrow when someone at a big tech company yet again make-a-mistake in the same direction of AI hyping.
Are you mad at them for playing the game, or mad that that's the game they have to play to advance at their company?
> Like journalists that write about a Fatal Storm In Houston and you read down to the eighth paragraph and it turns out the fatality were among pigeons.
I don't know; I guess I hold people who post on twitter so they can self-promo, or who have attention because they work at $company, to a slightly different standard than I would hold a journalist writing a news article?
> I don't know; I guess I hold people who post on twitter so they can self-promo, or who have attention because they work at $company, to a slightly different standard than I would hold a journalist writing a news article?
> I’m not joking and this isn’t funny. We have been trying to build distributed agent orchestrators at Google since last year. There are various options, not everyone is aligned... I gave Cloud Code a description of the problem, it generated what we built last year in an hour.
So I see one error. GP said “couldn’t do”. The engineer really said “matched”.
Dearest leadership not unblocking execution. What's that got to do with what we’re complaining about? Did Claude cure cancer (this is hyperbole) in one hour or not?
The point of the story to me was, with a clear idea of what they want, the person got a year's worth of Big Tech done in a few hours with Claude. Could have been a couple days with a tight team, either way, the problem wasn't the coding ability or typing speed.
I’ll bring the tar if you bring the feathers.
That sounds hyperbolic but how can someone say something so outrageoulsy false.