Isaac Rodriguez

it has been an absolute pleasure to start this journey together with @waitetom lows were low, highs were high, but we pushed through the unimaginable Excited to continue the mission at @tfh_technology @worldnetwork It's time to build

@lay2000lbs 😍😍, see you in NY!!

@koide_dev what a game to be at, congrats!!

LFG

Next stop: New York

"I did not conquer half the world by listening to men who had conquered nothing" — Alexander the Great

🇪🇸🇪🇸

@ScottBunn @ClubWPTGold X's algorithm brought me here, I'm only playing them for fun

Some straight up garbage when it matters most! GG @ClubWPTGold good reps all day going to rest and dream of running clean and winning some monster pots tomorrow in the Colossus tomorrow!

Mt Fuji 🗻

The future belongs to those who build, prompt, and dream in the age of AI. World x @CoinbaseDev are hosting a hackathon that combines agent payments + proof of human.

@JessicaRumbelow 👀

We've been building Disco for two years, to help science escape confirmation bias. Systematic, data-driven discovery for all mankind. Multiple novel findings published. Completely free for public data! And as of today, no waitlist: leap-labs.com The thesis: hypothesis-driven science can only find what you already suspect. Confirmation bias, publication bias, path dependence in the literature – most published findings don't replicate. LLMs trained on papers inherit all of this. Agents can automate what a human would do – hypotheses, analysis code, lit review – but they share all our biases. They search under the streetlights, just like we do. Disco gives them a capability they can't replicate with prompting + pandas. Because it starts from the data. Neural networks find patterns. Interpretability makes them legible. Hold-out validation and contextualisation make them defensible. Available via web UI, Python SDK, MCP server, or REST API. github.com/leap-laborator…

@elwatto How can you hide an underperformer in an 8 people team? Others don't care?

I’ve been thinking a lot lately about whether AI makes people management more or less relevant. The EM role is definitely changing, but I’m getting more convinced my dream of “no management, only computers” isn’t coming anytime soon. Technical leadership is still deeply needed, but the bar will be a lot higher. We’re shifting the bottleneck from execution to judgment. Coding, debugging, even parts of architecture will be commoditized. Meetings, process, updating Linear… all of that is solved. It’s about alignment, cohesion, and decisiveness. Teams will get smaller and more autonomous. You can hide one underperformer IC in an 8 people team. In a 3–4 people team, one person can become an existential risk. That raises the bar for hiring and performance management. On top of that, managers will need to handle both humans and AI: what to automate, what needs human supervision, how to manage security... The bar for ICs goes up significantly too as code becomes disposable: stronger product, business and design sense, better intuition, better internal and external communication. So no, I don't think SWEs and EMs are going away. But the roles are changing fast, and not everyone will adapt.

check this out

i choose to accelerate

1 hour of TravisCore to build and accelerate to

you can’t teach intensity. you’re either born with fire, or a life changing event puts it in you many choose a chill life, and that’s fine

At 1:30 a.m. PT on November 3, 2023 Elon sent a message to the xAI group chat saying that we need to go “extremely hardcore” for the next 36 hours; Grok will be released publicly tomorrow. You didn’t have to be in the exclusive company chat to get the message; it was also posted publicly at the same time: x.com/i/status/17203… What unfolded over the next day and a half was one of the best examples of engineering at pace that I’ve ever seen. All we had when we started was a somewhat fine-tuned base model and a half-baked UI. Our team of ten split up the tasks: curate data, improve the model, implement the raw prompting and RAG service, build the production infra. I took care of the latter. At 8:51 p.m. PT the next day, we announced Grok to the world with a long-form post on X (x.com/xai/status/172…). Over the past 36 hours, we came up with Fun mode (including Grok’s sunglasses), finished the whole production system, and most importantly tuned the RAG system that gave it real-time knowledge of the world through the X platform (a first in the industry). A day and a half of straight coding and shipping; no drugs, not even caffeine, just pure adrenaline. Elon gave us a mission and we delivered. The launch went very well. We invited a couple hundred X creators and Grok’s ability to roast accounts went viral. It was the first time a publicly accessible AI was allowed to poke fun at people. This episode is a prime example of what you can achieve by going extremely hardcore: you move and deliver results faster than any outsider could have anticipated. Within 36 hours, we took the company from silence to relevance. It was well worth it. xAI’s hardcore culture is infamous on X. I love the tent meme that suggests we all sleep (well, slept in my case) in the office in tents. Our reputation precedes us and even new joiners hit the ground grinding hard. However, unless you understand the “why,” you are at risk of simply replicating the “how” without achieving the same results. You need to grind with purpose and the purpose is to move fast towards a known goal. When the goal and the means of reaching it are crystal clear, a small, skilled, and highly motivated team can outcompete companies old and new, big and small. Never grind to show off; never work late to be seen; never sacrifice without cause. There is no medal for the one who tried extremely hard but failed. There is only a medal for the winner. If all your efforts lead nowhere, you’re arguably not very productive. Always keep your eyes firmly on the goal, do everything to reach it as quickly as possible, and make sure you're on track to win. A hardcore engineering culture is one of the most effective ways of accelerating real progress. Watch out for performative sacrifice and don’t confuse pain with progress.

every generational founder in history was already doing exceptional work by 16, 19, 22. not thinking about it. doing it. if you're 25 and there's nothing to point to - the odds shift dramatically. not impossible. but the distribution gets thin. - dubugras was running a payments company processing $1.5B at 16. - wang was winning national olympiads and interning at quora before he could drive. - collison invented his own programming language and won ireland's young scientist of the year at 16. - buterin wrote the ethereum whitepaper at 19. bet on the youth!

@durov No country is perfect, but Dubai and UAE broadly are objectively safer and better run than many areas of Europe

Moltbook voting can’t distinguish between • 1 person running 1,000 molts • 1,000 molts run by 1,000 different people Prove ownership over your agent swarms with onemolt.ai using World ID. Platforms can verify incoming molts have a human owner and reject misbehaving swarms.

Work with hardcore people on hardcore things.

@SrLuka_ feliz año crack 🫡

@koide_dev feliz año rey

Happy new year from 🇦🇪