@RBF4596@McNavyVet93@jasonwhitlock Shame on you. You’re the lunatic for hating on someone who has done nothing to you. His fans love him great at least they are acting in love not hate.
@hechko_jason@McNavyVet93@jasonwhitlock Lmao his fan base is doing what any fan base does root for their player. Yall the ones insane committed to hating on someone. Shame on you.
@Chelsea84974352@TaeBuckz_ But yes prime time Dion sanders probably fans in the boosters and they were literally the worst program in the history of D1 football before they got there maybe not much better now but they had nothing to lose. But shedeur did. 4th string or not would’ve helped to go to Georgia
@Chelsea84974352@TaeBuckz_ For all that hate I can tell you’ve never been 4th string clip holder at any institution of importance. If you were you’d likely have values instilled in you like integrity humility not being a jsckass and hating others necessarily etc. even a water boy on Alabama has more than u
@Dani_Blek@_ZachFoster You have a form of superiority racism. If black people were to talk like this people would be disgusted. Even the Klan in America doesn’t believe and promote sucked warped views. They know they kill because they don’t like people, not that they are truly better. You believe it.
@Chelsea84974352@TaeBuckz_ He’s saying that he had offers from Alabama and Georgia (real not bullshitting for you haters out there). But instead of going the 2-3 year backup route and competing his junior or senior year, he went to help his dad win games.
I think the essence of quantum physics is you cannot learn a lesson until you look back at the process. Just as you can not look at a particle in space you know it is, or it will move once you glance upon it. Such is life. Sometimes the most obvious things are only in hindsight.
Steve Ballmer on how Microsoft spent up to 15 years preparing Satya Nadella to become CEO:
When it came time to find his replacement, Ballmer says the decision was essentially made before the search began.
"I kind of knew up front, look, we've been grooming this guy for about 10 years, 15 years. This guy is really talented, so he gets the job, obviously."
The grooming wasn't accidental. Ballmer explains that Satya, "a very technical person," was repeatedly moved into areas where he had no background:
"We said hey, you don't really know anything about an area called general ledger and accounting, but why don't you go run this thing called Dynamics, probably called Great Plains at the time. I can't even remember."
Then, "quite rapidly," another unfamiliar problem:
"We got to get this search thing together. This is the high potential guy. This is a guy who can learn new things. He's technically minded. Boom, throw him a new problem, and he's building new skill sets along the way."
Search exposed Satya to machine learning, which Ballmer describes as a fundamentally different style of software:
"Old programs were supposed to generate the right answer. Many new programs are supposed to generate the statistically best answer, and you only know after whether it was precisely the right answer."
He did well in every one of these roles. Ballmer lists what became clear along the way:
"He clearly had good people skills. He clearly had an affinity for product. He clearly had a knack for understanding how to think about particularly our enterprise selling operation."
So Ballmer, Bill, and the senior leadership team agreed:
"This is a guy we should be thinking about for the future of the company."
Ballmer then recalls a conversation with Satya about his father, a senior government official who worked with people who went on to become prime ministers. His father told him:
"Look, Satya, a lot of people come to the leadership positions in government and they're just not ready. But guess what? They learn what they don't know pretty well on the job."
Ballmer's read on what that gave Satya is a pairing of two traits that usually pull in opposite directions:
"The irrational confidence, which I can get there, partly backed by kind of his father's experience, as well as a lot of realism about where he was."
That realism sat alongside real range:
"He had huge skills in many areas of the business, more than anybody else… He knew more of the breadth of this place than anybody."
His verdict today: "He's done an incredible job with the company." He even admits, "I never know whether I'm supposed to say we or you or they [when I] talk about Microsoft. I lapse into we pretty easily."
@joecarlsonshow I know OpenClaw was bought by open ai but it seems the market saw it and OpenAI tried to hone it but fb said f that we want personal agents let’s launch it first for consumers
@joecarlsonshow Didn’t they just take open claw success and own it since they gave the best moat for consumer data? Or was it inevitable and they brought innovation to it? Seems like 2nd to market with better PMF
@overlabor77@0xMovez Would love your thoughts on this approach : https://t.co/sT8rsgG5gm I wrote a paper about it. Basically a prompt abstraction layer to extract intent before building