I direct a crew of agents for brand + generative media. Cofounded @saildotmoney before.
☀️
Joined May 2019
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- the era of the influencer is over
- long live the era of the creative director with an army of agents
born to create
El hombre en la arena
No es el crítico quien cuenta; ni aquel que señala cómo tropieza el hombre fuerte, o en qué podría haber obrado mejor quien realiza las hazañas.
El mérito pertenece al hombre que está realmente en la arena, cuyo rostro está marcado por el polvo, el sudor y la sangre; aquel que lucha con valentía; que se equivoca, que fracasa una y otra vez, porque no hay esfuerzo sin errores ni defectos.
Pero es aquel que verdaderamente se esfuerza por realizar las obras; que conoce los grandes entusiasmos, las grandes devociones; que se entrega a una causa digna.
Aquel que, en el mejor de los casos, conoce al final el triunfo de una gran conquista y que, en el peor de los casos, si fracasa, al menos fracasa atreviéndose a grandes cosas.
Para que su lugar jamás esté entre esas almas frías y tímidas que no conocen ni la victoria ni la derrota.
TR
Open to AI: Hollywood Is Embracing Artificial Intelligence Tools Despite Doomsday Fears variety.com/2026/digital/fea…
follow my friends journey
he will become an important voice in the Agentic Finance space
you will see
I joined @crossmint as a Forward Deployed Engineer focused on AI agents.
For the last three years I built at the intersection of AI agents and digital assets at @SaildotMoney. We shipped a lot and gave everything we had. A natural language interface for DeFi, a stablecoin yield agent that moved $700m, a protocol for delegating capital to agents, and one of the first agentic DeFi harnesses. We did not find PMF. I have thought a lot about why, and think we made two clear mistakes that stand out. (1) We picked use cases that were ahead of the adoption curve: swaps, lending, perps, and (2) our timing was off, an as you know, in this game, being early is the same as being wrong.
I said it all in private to the people who walked that road with me, but I want to say it publically too. Thanks to the team (@0xdreski,@byAlvaro_12,@juanmadiz123), to our investors (especially @thattallguy and @joshcrnls), and to my brother (@0xRcap).
My conviction is intact, and I can't be more aligned with @crossmint's mission: the programmatic economy is coming, and AI agents will soon be its biggest economic actor. I am joining @alfongj,@rodrifernandezt,@0xaguspunk,@alexsrawitz to push this adoption forward.
We'll make awesome announcements in the coming weeks. Get ready. Agents are coming.
Rodrigo retweeted
This tweet is the modern definition of Van Gogh or JK Rowling at that age.
So if you’re this guy today (I’ve been) just don’t break.
Because we live in extreme idealism, the idea of adding yourself to a certain collective or stereotype is more alive than ever.
Use reason to turn it around. Search for analogies and examples. It helps mentally.
And fight.
Rodrigo retweeted
AI filmmakers will reach cinemas the same way YouTubers did.
Build the audience online every day, then take it to theaters. We've already seen a few examples in recent weeks with @Gossip_Goblin, @jennykrakovsky and @JeffSynthesized.
The new distribution flywheel: social audience → theaters → social word of mouth
he could raise a $10B pre-seed round if he wanted
routing is product. on my last film i switched models on each job (like anyone else)
seedance 2.0 + 2.5 for vid, Nano Banana + GPT image 2 for places , Seedream for faces, Eleven v3 for dialogue
never left @higgsfield
Calling Higgsfield “just a wrapper” tells you surprisingly little about the economics of our business.
In over 40% of cases, we get to decide which model does the work for our customers.
As models become more interchangeable, the ability to move demand between them becomes a moat.
If you’re mapping where value accumulates in AI, follow who owns the customer relationship.
I went deeper on this with @HarryStebbings on 20VC.
Rodrigo retweeted
The old financial infrastructure monetizes human inertia. It captures value from humans’ laziness, lack of time, and lack of knowledge. Essentially, because humans are bad at making financial decisions and managing money.
Agents, on the other hand, are far superior at solving deductive and inductive problems. Something like “get me the best risk-adjusted yield on my dollars” is just an optimization problem. The information is never complete, sure, but agents can continuously evaluate options and make decisions quicker, faster, smarter. We just don’t do it because, again, it takes effort, time, and knowledge.
Thus, as trust grows, humans will progressively delegate more and more capital to agents, and the old financial infrastructure will have to reshape itself to serve a more rational actor.
As with any shift, it’ll take time and be painful for legacy financial companies unwilling to adapt to the new user. But it’ll also be an opportunity for those building and distributing the best rails for these agents to manage money on our behalf.
Ultimately, the human consumer wins.
i basically know a new model is out because @AskVenice posts about integrating it like in a minute
