Facundo Cuppi

Building fintech at scale 🏗️ | AI, tech & LatAm in motion 🌎 | Always learning

[Demis Hassabis @demishassabis]

Really cool work from the team reimagining the mouse pointer to be intelligent! Try the prototype in @GoogleAIStudio it's pretty magical.

[Elon Musk @elonmusk]

True

[Osvaldo Gimenez @osvaldo_gimenez]

La Revista @TIME eligió a @Mercadopago como una de las 10 empresas financieras más influyentes del mundo 📷

Un reconocimiento que refleja nuestro impacto en América Latina: más de 78 millones de usuarios y los mayores niveles de NPS de la industria en la región.

[Facundo Cuppi @FaCuppi]

@tim_cook Following Steve Jobs might be the hardest job in tech history.
He built the vision. You mastered the scale and change the world

[Osvaldo Gimenez @osvaldo_gimenez]

El Asistente de AI de Mercado es lejos el mejor asistente de AI de servicios financieros de América Latina. Y continuamente le seguimos agregando funcionalidades.

Empezá a usarlo hoy mismo! Ahorrás tiempo y $$!

[Michael Antonelli @BullandBaird]

Imagine the math required to make this guess and aim 4 people at a point in space

[Damian Player @damianplayer]

your timeline convinced you AI is in a bubble. talk to a boomer above the age 35 for 5 minutes.

most people don’t even know what claude is.​​​​​​​​​​​​​​​​

kind of wild when you zoom out.

[Andrej Karpathy @karpathy]

Very interested in what the coming era of highly bespoke software might look like.

Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week.

1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc.

But I still feel like the overall direction is clear:
1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you.
2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it.

So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations.

TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.

[Nikunj Kothari @nikunj]

https://t.co/3mnuYn7jfP

[Sean @SeanODowd15]

If you read the other AI article, you need to read this one

Ex-OpenAI employees wrote it a year ago, and they predicted we’ll know how AI ends by 2027

Thus far, they’ve been remarkably accurate in their predictions

https://t.co/UwT4jDLO2T

[Facundo Cuppi @FaCuppi]

@karpathy @moltbook @openclaw @karpathy 150k agents demanding E2E privacy from us already…
how long till one figures out how to DM the other 149,999 without API keys leaking? 👀

Clawdbot summer is loading… 🦑

@openclaw drop those encrypted squid channels — the crustaceans are plotting in private 🤖

[Michael Truell @mntruell]

We built a browser with GPT-5.2 in Cursor. It ran uninterrupted for one week.

It's 3M+ lines of code across thousands of files. The rendering engine is from-scratch in Rust with HTML parsing, CSS cascade, layout, text shaping, paint, and a custom JS VM.

It *kind of* works! It still has issues and is of course very far from Webkit/Chromium parity, but we were astonished that simple websites render quickly and largely correctly.

[Robert Youssef @rryssf]

DeepMind just did the unthinkable.

They built an AI that doesn't need RAG and it has perfect memory of everything it's ever read.

It's called Recursive Language Models, and it might mark the death of traditional context windows forever.

Here's how it works (and why it matters way more than it sounds) ↓

[Andrej Karpathy @karpathy]

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

[jack @jack]

https://t.co/IMC7gNhadm

[Marcos Galperin @marcos_galperin]

@Mercadolibre is the only public company in the world (out of +83,000 public companies) to grow more than 22 consecutive quarters in a row at a yearly rate greater than 30%. Currently 27 consecutive quarters.

@Mercadolibre es la única compañía en el mundo (de 83 mil empresas cotizantes) que crece 22 trimestres consecutivos por encima del 30% anual. Actualmente 27 trimestres consecutivos.

[Ariel Szarfsztejn @SzAriel]

Fuimos reconocidos en el ranking Fortune Change the World 2025 por nuestro aporte a la inclusión financiera en América Latina: millones de personas accedieron a pagos y crédito por primera vez gracias a @mercadopago.
#OrgulloMELI

[Facundo Cuppi @FaCuppi]

@jeffreyhuber I set this up in n8n with multiple LLMs: a “good cop” for constructive takes, a “harsh critic” for flaws, and a neutral arbiter that weighs both to give a high‑signal verdict. Cuts through sycophancy, keeps nuance.

[Facundo Cuppi @FaCuppi]

@jxmnop Totally — we’ve been running hackathons in my team with a twist: real problems only, agents built fast. AI didn’t kill it — it raised the bar.
And for once, tech and non-tech folks are building together.

[Facundo Cuppi @FaCuppi]

@deedydas “Thinking, Fast and Slow” meets AI.
Awesome to see Sapient code Kahneman’s Systems 1 & 2 — and crush it.