Evaristo Babé 🐙

I paused the company credit card used for Anthropic. Every employee that didn’t complain that Claude was down I fired.

A bespoke software revolution? I don't buy it. It'll exist. It already exists. Small consultants and big consulting firms have made custom software for years. It almost always sucks. It’s bloated, confusing, and because the client pays, it’s built wrong in all the ways. Who’s excited about bespoke software? Software makers! Of course they're excited about building bespoke software — that's what they do. X is full of them. Your feed is full of people who love making software talking about making software. Of course they’re excited about the revolution. Echo, echo, echo... Most people don’t like computers. Nobody in tech wants to say that out loud. People tolerate computers. They use them because they have to. Given the choice, most would rather not think about them at all. So when someone suggests that AI means everyone will build their own custom tools, ask who "everyone" is. The three-person accounting firm drowning in client paperwork? They want the paperwork gone, not a new system to maintain. The regional logistics company with 40 trucks? They want the routes optimized, not Joe spouting off about this new system he’s been messing around with. The law firm billing 70-hour weeks? They want leverage on their time, not a software project to design. They don’t hate technology. But building and maintaining their own critical systems isn’t their wheelhouse, regardless of how much faster and easier it’s become. It's another job on top of the job. Will these people use AI? Absolutely, for all sorts of things. Will some outliers go deep and build real custom systems? Sure, but they're almost always people who already had some pull toward software. The curiosity was already there. They were dabblers before. Giving everyone access to software building tools doesn't mean everyone becomes a builder. A powerful excavator doesn't turn a homeowner into a contractor. Most people just want the hole dug by someone else. They don’t want the responsibility either.

My information consumption is now 1/4 X, 1/4 podcast interviews of the smartest practitioners, 1/4 talking to the leading AI models, and 1/4 reading old books. The opportunity cost of anything else is far too high, and rising daily.

Larry Ellison is right. Models are trained on the same data. The differentiator now is expert human feedback applied to real workflows. Doctors, lawyers, engineers. People who actually do the work. Observing how models fail in production, providing the cognition to fix it, and feeding that signal back into training. That loop is the new moat: observe failure → extract expert judgment → build verifiers → post-train → deploy → observe new failures. Each cycle makes the model better at harder, longer-horizon tasks that general training data never covered. The companies that own that loop will power the next generation of AI.

Mi nuevo equipo después del Real Madrid 😆

Nunca me alegré mas de que Pulpo resuelva problemas del mundo físico 😂

We’ve identified industrial-scale distillation attacks on our models by DeepSeek, Moonshot AI, and MiniMax. These labs created over 24,000 fraudulent accounts and generated over 16 million exchanges with Claude, extracting its capabilities to train and improve their own models.

Qué brutal

For those unaware, SpaceX has already shifted focus to building a self-growing city on the Moon, as we can potentially achieve that in less than 10 years, whereas Mars would take 20+ years. The mission of SpaceX remains the same: extend consciousness and life as we know it to the stars. It is only possible to travel to Mars when the planets align every 26 months (six month trip time), whereas we can launch to the Moon every 10 days (2 day trip time). This means we can iterate much faster to complete a Moon city than a Mars city. That said, SpaceX will also strive to build a Mars city and begin doing so in about 5 to 7 years, but the overriding priority is securing the future of civilization and the Moon is faster.

I agree: From Davos yesterday: “Anthropic CEO Dario Amodei: “I don’t think there’s an awareness at all of what is coming here and the magnitude of it,” “Palantir CEO Alex Karp: echoed these sentiments at the Davos conference, “AI will displace so many jobs that it will make large-scale immigration “hard to imagine.”

@omsbade 🙌🏾🙌🏾🙌🏾🙌🏾🙌🏾

Hace unos meses en fiesta con @varisb Founder de SinDelantal #startup #startuplife #logistics #AI

@Terciopelo16 @pitdesi En serio? No sabía eso! Es impresionante que ahora sea una ciudad TAN grande 😮

@pitdesi @varisb De hecho, no hay nacidos en Cancún mayores de unos 40 años. También les copió República Dominicana creando Punta Cana, aunque no tan "ciudad" como Cancún, pero igualmente crearon un desarrollo turístico de cero.

Cancun is not my cup of tea, but boy is it an incredible success story of engineering: the Mexican government engineered a tourist hotspot custom-built to attract American dollars, from a place that had nothing in 5 short years. In the late 60s, Mexico ran a huge trade deficit with the US. They were industrializing rapidly, importing machinery and materials that had to be paid for in dollars. Tourism offered a solution, a way to earn foreign currency using assets Mexico already had: beaches, climate, and ancient ruins. They actually spent months building a computer model, feeding data to an IBM 360 to analyze Mexico’s entire coastline, evaluating climate, beach quality, accessibility, and development costs. The computer selected Cancun #1, a remote sandbar that had a population of 3 people during the 1970 census. The 2nd option was Ixtapa. Cancuns location was perfect: turquoise water, white sand, ideal weather, and proximate to all of the eastern seaboard, the largest concentration of Americans enduring brutal winters and seeking affordable beach escapes. Hawaii was already popular for folks on the west coast but Cancun offered what Hawaii couldn’t: a winter getaway without the 12+ hour flight, and a much cheaper experience. The Caribbean location and dry season from November to April aligned perfectly with when East Coasters most desperately wanted sun. The government invested over $100 million in infrastructure, building an international airport, roads, utilities, and dredging lagoons. They built the hotel zone for foreigners and downtown Cancun for workers, all in 5 years They marketed Cancun aggressively to Americans, positioning it as a safe, convenient Caribbean alternative with better prices than anywhere else. Hotels catered explicitly to American tastes with English-speaking staff, American brands (Hyatt, Hilton etc) familiar food options, and all-inclusive packages. The genius was creating a place where Americans could feel like they’d “been to Mexico” without experiencing much of Mexico at all - you could go to a Hilton, speak English, eat burgers and hot dogs, pay in dollars, but get to say you went abroad. At the time, “going abroad" was often seen as something for the wealthy or the adventurous. For many Americans, especially those from the interior who don’t travel internationally often (as you see on the map) a Cancun vacation counts as cultural exploration, a stamp in the passport that feels adventurous while remaining completely comfortable and affordable. You didn’t need a passport to go there until 2007, which was helpful too. The whole thing worked brilliantly, beyond their expectations. They started the project in 1970 and welcomed the first guest in 1975. By 1980, Cancun had grown to a half million tourists and a population of 34,000 supporting tourism. Cancun is EXACTLY what Mexico designed it to be: a dollar-extraction machine that turns American desire for easy, safe “foreign” travel into billions of dollars flowing to Mexico. —- This story from the New York Times in 1972 was a good read: Mexico had a young Harvard-trained head of INFRATUR spearheading the program nytimes.com/1972/03/05/arc…

If I could send my 18 year old self a message, it would have three parts: 1. Prestige is often mistaken. Follow curiosity instead. 2. There's no way to avoid hard work. It's not sufficient, but it is necessary. 3. Don't take your parents for granted.

@MonicaUnchained ❤️❤️❤️❤️❤️

Si suben el precio por un tier CR7 que tenga aunque sea un gif de Cristiano saludando cada vez que entre, yo lo pago.

I don't think SaaS is dead. I think SaaS companies that don't lean hard into AI are dead.

🗣️ Kevin Prince Boateng: "Mi equipo favorito siempre ha sido el Real Madrid y mi jugador favorito es Cristiano Ronaldo y para jugar en el Barcelona tuve que mentir en la rueda de prensa, sino era imposible jugar." VALORS 🤭🤭😂

on point