
Ruben
@rdominguezibar • 10,295 subscribers
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JUST IN: Garry Tan says one father built the realest AGI demo yet. ▫️ Son has rare epilepsy. No lab, no grant, no permission ▫️ 80,000 markdown files indexing every seizure, paper, and drug interaction A father, a laptop, and a library. That's Personal AGI. Check the full breakdown here 👇
Ruben494,819 views • 15 days ago

Kimi's CEO🇨🇳 says every AI lab has the wrong obsession Zhilin Yang, on why K3 beat the frontier: "Every lab, like Claude, thinks the model matters most. That's wrong. It's how you organize the people building it that wins." Then Moonshot proved the philosophy. K3 sold out every plan on purpose, cutting their own revenue instead of throttling existing users. When Anthropic hit that wall in April, they cut users' usage 50% at peak. His one big idea: long context is the AI era's RAM. The 128K-to-gigabytes jump, compressed into 2 years instead of 40. The real moat: "your biggest advantage, perhaps your only advantage, is your organization." Model, or the team behind it: which actually wins?
Ruben1,783,289 views • 2 months ago

Paul Graham on why AI might never replace startup founders: "AIs don't have needs. Airbnb existed because its founders couldn't pay rent. Facebook existed because Zuck wanted to know what other Harvard kids were up to" AI can build the thing. Wanting the thing badly enough to start is still human Which of your ideas came from a problem you personally lived?
Ruben169,522 views • 1 month ago

WOW: Kimi K3 just killed the AI subscription era 🇨🇳 On July 27, Moonshot publishes the full K3 weights under a modified MIT license. ▫️ 2.8 trillion parameters ▫️ 1M token context ▫️ Open weights, yours to run "The frontier becomes a file." The closed labs charge you monthly for access. Moonshot just made the frontier a download. Does open weight end the subscription model, or do the big labs still win on polish?
Ruben95,078 views • 2 months ago

OpenAI's chairman just responded to the Kimi K3 panic 👇 The timeline calls K3 a frontier killer. Bret Taylor's answer on CNBC: every CEO he talks to asks the same 2 questions. 1️⃣ Am I getting value from my token spend? 2️⃣ What's my moat in the age of AI? His counter on cheap Chinese models: frontier models finish the same task in far fewer tokens. Cheap per token means little if you burn 5x more of them The new battleground is tokens per task, and the price war just forced OpenAI to argue efficiency instead of capability
Ruben76,682 views • 2 months ago

Ilya Sutskever, co-founder of OpenAI, now building Safe Superintelligence: "The whole problem is the power. When the power is really big, what's going to happen?" Asked when AI that learns like a human and then races past it arrives, he didn't say never. He said 5 to 20 years
Ruben56,192 views • 1 month ago

People are wiring Kimi K3 straight into Codex to skip its own app The model is elite. The Kimi app is the weak part. So builders connect their Kimi subscription to Codex through OAuth instead 👇 ▫️ K3 shows up in the model picker next to Sol 5.6 ▫️ No API key, no extra subscription ▫️ Sign in with OAuth, done The frontier model, running inside the coding tool people actually like using. When the model outgrows the app, users just route around it
Ruben58,369 views • 2 months ago

Best advice for raising VC💰, from Parker Conrad, Marc Andreessen, and Ron Conway: be so good they can't ignore you ▫️ Parker Conrad pitched nearly every VC in the Valley for Zenefits and failed, until he realized he needed to prove he could build something gigantic ▫️ Andreessen: come in with a theory, a plan, and no data, and you're just 1 of the next 1,000 ▫️ Ron Conway: bootstrap for as long as you possibly can
Ruben45,814 views • 1 month ago

"does it make for a good cocktail story," Travis Kalanick says that's his investing litmus test. if he can't tell the founder's idea at a dinner and feel his own eyes light up, he passes. the filter isn't the pitch deck, it's whether Kalanick himself gets excited retelling it later
Ruben14,561 views • 14 days ago

Kimi's CEO got asked the hardest question in AI: is there anything left to build? 🤔 Zhilin Yang's answer: "The best things are always in the future. Don't think you're done now." The 3 lessons he runs the company on, learned from his mentor at Google: 1️⃣ Simple is a virtue. "Only simple things can last." Exotic architectures get cut first. 2️⃣ Play the long game. A multi-year research agenda beats chasing random ideas. 3️⃣ The best is always yet to come. When he started NLP, everything felt done. Then Transformers. Then GPT-3. "You don't know that the good show just started." The trap that kills most people: assuming the field is finished right when it's about to open up. -> What feels "finished" today that's actually just beginning?
Ruben33,319 views • 2 months ago

Elon Musk was asked which of his companies excites him most His answer: the future where SpaceX, Tesla, and xAI converge He explained that long term progress requires solar-powered AI satellites operating deep in space. Tesla brings the energy systems, SpaceX brings the hardware and launch, xAI brings the intelligence. In his mind, all three eventually form one mission. What do you think of this convergence?
Ruben60,115 views • 9 months ago

Alexandr Wang, Meta's Chief AI Officer, on why most founders who make it share one trait 👇 "You need to develop conviction in a set of beliefs that nobody else agrees with." His second line takes the pressure off: "Nobody is good at starting a company when they start a company"
Ruben11,844 views • 1 month ago