Elon Musk had dinner with the Financial Times at Fonda San Miguel, a Mexican restaurant in Austin, back in 2022. They ordered lamb chops, shrimp with cheese and jalapeños, slow-cooked lamb, chillies in walnut sauce, and shrimp in creamy chipotle sauce. Elon also had a frozen margarita, which he described as a slushy with alcohol. 😂 The entire bill, including drinks and tax, came to $198.37. And apparently the food was incredible. Source: Financial Times, 2022

Romeo Santos & Prince Royce’s “Ay! San Miguel" rises 4-1 on this week's Tropical Airplay chart. It earns Royce his 29th No. 1 at the format (the second-most all time after Marc Anthony's 39) and Santos his 22nd (the fourth-most all-time).

20 most beautiful cities in the world: 1.🇦🇺 Adelaide 2.🇪🇪 Tallinn 3.🇩🇲 Portsmouth 4.🇲🇽 San Miguel de Allende 5.🇬🇹 Antigua 6.🇸🇬 Singapore 7.🇫🇷 Paris 8.🇲🇦 Chefchaouen 9.🇹🇭 Chiang Mai 10.🇪🇬 Luxor 11.🇹🇷 Istanbul 12.🇯🇵 Kyoto 13.🇪🇸 Barcelona 14.🇿🇦 Cape Town 15.🇧🇷 Rio de Janeiro 16.🇮🇹 Florence 17.🇲🇱 Djenné 18.🇺🇸 New York City 19.🇳🇱 Amsterdam 20.🇮🇳 Jaipur According to Architectural Digest

Right now, the majority of AI workloads are executed on GPUs, but that could soon be changing with market adoption of AI application specific integrated circuits (ASICs). @Luxor's Mike San Miguel said that hyperscalers have been utilizing these ASICs for some time, but now neoclouds are making moves to leverage them as well. "They're just starting to hit the open market now The hyperscalers have been doing versions of these for about a decade. What's different now is that, as opposed to being bespoke chips for hyperscalers, we're starting to see new manufacturers that are producing these AI ASICs, and as a result these are going to start hitting the neoclouds. "You're probably going to see them hitting the market in scale in 2027 when they're going to start entering fleets for a lot of these neoclouds." This raises a a business question for AI companies, however, because unlike GPUs which can be used for inference and training, AI ASICs can only be used for one or the other. "A GPU can be used for inferencing training. But with ASICs, they're purpose built for one or the other -- they can't do both. "But that's the advantage. You get a much higher output...what it's probably going to look like in the next 2 to 5 years -- beecause these things take time to roll out -- is a hybrid approach."