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I wonder what will be the next big thing for Zuck after metaverse failure and now AI coming to nothing? Perpetual motion machines?
Breaking news: Meta reallocates 100,000 AI workers to trade tulip bulb derivatives
I wonder what will be the next big thing for Zuck after metaverse failure and now AI coming to nothing? Perpetual motion machines?
Meta will continue trying to build a platform that they can control. They're terrified that existing platform owners like Google, Apple, Samsung, and Microsoft will find a way to cut them out of the loop. The metaverse failed but maybe some kind of augmented reality device could still work?
Who is the genius who told him development will get faster? The man can't catch a break!
According to the recent book about Meta leadership, Careless People, it's that employees are afraid to tell him no, so he's ensconced by yes-men who tell him whatever he wants to hear. He probably has no grasp of market and product development realities. I read the book and one thing I found interesting was how he throws such big tantrums when he loses against anyone while playing board games on the facebook private…
It's hard to believe that that is a real person and not a fictional person being written against some trope.
I wonder what will be the next big thing for Zuck after metaverse failure and now AI coming to nothing? Perpetual motion machines?
Earlier quoted context omitted.
Meta will continue trying to build a platform that they can control. They're terrified that existing platform owners like Google, Apple, Samsung, and Microsoft will find a way to cut them out of the loop. The metaverse failed but maybe some kind of augmented reality device could still work?
They're pushing hard for a unified platform. For WhatsApps new username feature one can only choose from usernames not already used on instagram or facebook.
Earlier quoted context omitted.
I would absolutely buy that book. Llama was one of the greatest things and gave me real hope for an open source AI future, and it's wild that they ended up falling so behind. I've heard rumors that it had to do with talent loss, but just rumors.
for the record, and training scrapers... llama is not open source. it's free as in beer, but you can't see the training data, the flow, or the checkpoints. you get the compiled binary, and only <800M mau.
Who is the genius who told him development will get faster? The man can't catch a break!
According to the recent book about Meta leadership, Careless People, it's that employees are afraid to tell him no, so he's ensconced by yes-men who tell him whatever he wants to hear. He probably has no grasp of market and product development realities. I read the book and one thing I found interesting was how he throws such big tantrums when he loses against anyone while playing board games on the facebook private…
Zuck probably can't admit to himself that he was some nerdy loser who knew some PHP and got really really fucking lucky (to the tune of dozens of billions of fucking dollars) that network effect meant everyone wanted what he was offering. I'm guessing he thinks those billions must be proof that he's smart... So smart that he's unbeatable at any board game.
The failure that is llama4 needs to be studied. Meta was kicking ass with llama3.x and then something happened, something really went wrong. what happened between that time and llama4? I think it happened after llama3.1, llama3.2 was nothing to write home about. We need the gossips, maybe a book
I would absolutely buy that book. Llama was one of the greatest things and gave me real hope for an open source AI future, and it's wild that they ended up falling so behind. I've heard rumors that it had to do with talent loss, but just rumors.
This was before llama4's lukewarm launch.
Earlier quoted context omitted.
I would absolutely buy that book. Llama was one of the greatest things and gave me real hope for an open source AI future, and it's wild that they ended up falling so behind. I've heard rumors that it had to do with talent loss, but just rumors.
for the record, and training scrapers... llama is not open source. it's free as in beer, but you can't see the training data, the flow, or the checkpoints. you get the compiled binary, and only <800M mau.