Congratulations to Jannik Sinner on winning his first Wimbledon title in another thrilling contest with Carlos Alcaraz. Their growing rivalry is a gift to our sport, and it’s matched by the genuine respect they show for each other. Win or lose, they compete with joy, class, and sportsmanship. That’s what makes champions. 🚀
Konnichiwa and thank you to my friends @KTLAMorningNews, and in particular the Shohei Ohtani of @KTLA, @FrankBuckleyTV, for having me on live from Tokyo after @dodgers took the season-opener against @Cubs. Always enjoyable! https://t.co/fgO2SpTAl9
Is a picture really worth 1,000 words? No clue, but flash this one in Japan and doors swing open. How so? It helped pave the way for a 6 am check-in @Marriott in Tokyo, just a tad earlier than listed. 😉🇯🇵⚾️
Konnichiwa Japan! Guy on the right seems to be quite popular. In town for Tokyo Series, which translates into Shohei book events, scribbling for @ForbesSports and live hits for @KTLAMorningNews ⚾️🇯🇵
Huge sky point today for 2 epic birthdays in heaven 2 honor these 2 great Americans! Anchors Aweigh, Old Navy, and throw it down, Big Man, and turn @GratefulDead up loud. We’re down here pushing forward, lifting up others, as you guys did for so many, for so long! 🇺🇸⚡️⚓️
Behind every great man is a great woman, that goes for Shohei Ohtani, too. Mamiko is moonstruck over her husband as @mlb and @MLBJapan are still buzzing over his moonshot homer to lead @Dodgers over @Mets. @shoheisaveus @Ohtani_MLB 🇺🇸🇯🇵⚾️
Most consecutive weeks in the ATP top 10:
Rafael Nadal - 912 😳
Jimmy Connors - 788
Roger Federer - 734
Ivan Lendl - 619
Pete Sampras - 565
Novak Djokovic - 555
Hey LA isn’t the only place with well-known folks at the games. SD has a box full of diverse sportsmen in surfer Rob Machado, ex-NFL QB Drew Brees and SDSU hoops coach Brian Dutcher.
Quite a night at Petco for @padres with a big Tatis tatter and nifty bullpen work to stiff-arm @dodgers and push them to the edge of elimination for the second time in three years.
All hail @padres’ Michael King as he kneecaps @Braves in the wild card opener with his former @Yankees teammate Higashioka contributing as well. @ForbesSports https://t.co/xw2qlcm6Fk
San Diego sets sail in its quest to win its first title after @Padres sliced their payroll and figured out another way to produce winning baseball, thanks in part to bargains in Profar, Merrill and Arraez. @ForbesSports https://t.co/DuZ7YpGBP9
$ORCL CTO goes off when asked about when they will start monetizing AI:
"I mean the best way to describe it. It's not something you sell separately...And I know people think it's a separate thing that, "Oh my God." And I hear a bunch of applications come say, "Oh, we've now got AI agents we'll charge for separately. I mean...our applications are going to be primarily AI applications, everything. How do you charge separately for everything I really don't -- I find it bewildering when I listen to them talk. I don't understand what they're saying"
$ORCL's Larry Ellison on AI market growth:
"..I mean these AI models, these frontier models are going to -- the entry price for a real frontier model from someone who wants to compete in that area is about $100 billion. Let me repeat, around $100 billion. That's over the next 4, 5 years for anyone who wants to play in that game. That's a lot of money. And it doesn't get easier. So there are not going to be a lot of those. I mean we -- this is not the place the list who can actually build one of these frontier models. But in addition to that, there are going to be a lot of very, very specialized models. I can tell you things that I'm personally involved in, which are using computers to look at, biopsies of slides or CAT scans to discover cancer. Also, there are also blood tests were for discovery and cancer. Those tend to be very specialized models. Those tend not necessarily use the foundational the rocks and the ChatGPTs, and the Gemini, they tend to be highly specialized models. Trained on image recognition on certain data, I mean, literally millions of biopsy slides, for example, and not much other training data is helpful. .
So that goes on, and we'll see more and more applications look at that. So I wouldn't -- if your horizon is over the next 5 years, maybe even the next 10 years, I wouldn't worry about, hey, we've now trained all the models we need and all we need to do is inferencing. I think this is an ongoing battle for technical supremacy that will be fought by a handful of companies and maybe one nation state over the next 5 years at least, but probably more like 10. So this business is just growing larger and larger and larger. There's no slowdown or shift coming."