almost every major AI org or company has a personal agent product. except Google.
i read Anthropic has something called Duet, so that counts too. with Grok having @bot, and OpenAI having Dots, the game seems to be shifting to the fundamentals - how sticky is your relationship with the users, how much (or how many) of your products is the average consumer using every minute.
the whole 'which model is smarter/better?' debate will still be on, and ongoing.
Saur retweeted
I saw someone say they miss when the internet was a library and not a store and I’ll be damned if that’s not the realest thing I’ve seen all year.
Saur retweeted
“People don’t want to hear your opinion. They want to hear their opinion coming out of your mouth.”
Saur retweeted
I think what is actually needed is for Indian people to actually give a damn about their cities and fellow citizens.
Anybody using the "I pay taxes, I shouldn't have to do anything" excuse should go live in another country. India isn't developed, it's developing, so it needs patriots, not parasites. If this triggers you, it means you're part of the problem.
If you're not happy with the footpath (or a pothole, or anything else which is broken), fix it, or call someone to fix it, and don't give up until it's fixed. Be relentless. Be vocal. Be creative. Make it your mission to get that one thing fixed. Look at what Virendra (@Virendra0698) did by just calling the right people and being respectful (but also persistent). He and Arun Pai (@arunpaiblrwalks) along with the help of GBA and some wonderful volunteers turned an unofficial garbage dump into a pristine, beautiful footpath through sheer force of will.
xitter.cf/Virendra0698/status/21…
one of the simplest quality-of-life improvement items that got added to the desktop app for claude code was this sidebar with a toggle for Remote Control! the drilldown for context and current usage is a very welcome update as well. good work, @claudeai.
“whoever's wrong is wrong by hundreds of billions of dollars.”
Mark Zuckerberg just said his used computer chips are worth more than what he paid for them.
Think about how insane that sounds. Nothing with a power cord works that way. Your car loses value, your phone loses value, your laptop is basically worthless in four years. Zuck is saying the chips running Meta's data centers broke that rule.
And this isn't a throwaway line. It's a direct shot at the biggest bear case in the market. Michael Burry's whole argument against the AI giants is that they're pretending their chips last longer than they do so the earnings look better. He pegged the overstatement at $176 billion through 2028. Pretty much every AI bubble take eventually comes back to that same premise, the chips rot fast and the accounting hides it.
Zuck went on camera and argued the opposite. Meta keeps running GPUs long after the accountants have written them down to zero, and because the whole world is starving for compute, those "worthless" chips are still earning every single day. He says that's exactly why Meta builds its own data centers instead of renting from the cloud.
He's also betting like he believes it. Wang put the cost of running one gigawatt cluster at around $15 billion a year, with $50-60 billion just to build it. Meta is scaling past five gigawatts. Zuckerberg committed somewhere between $100 and $200 billion before Muse Wonder had proven a thing, and when John asked about the downside, his answer was basically that for this to fail, all of AI has to fail.
The thing is, Burry and Zuckerberg can both be right for a while. When compute is scarce, old chips hold value and stretching their useful life on the books is defensible. But the day supply catches up with demand, every one of those extended depreciation schedules snaps back at once, across every big tech balance sheet at the same time.
So this whole fight comes down to timing. Zuck thinks the shortage lasts years. Burry thinks it ends in quarters, and whoever's wrong is wrong by hundreds of billions of dollars.
Saur retweeted
What does a PM do?
“The real role of the product manager in the organization is to work with a team to create the right product that balances meeting business needs with solving user problems.”
This has always been the best definition of what a Product Manager does. It holds true in the age of AI too. Definition by Melissa Perri.





















