Germán A. Ramírez

Electronic Eng. Working at MercadoLibre, Cloud tech, Machine learning, Math, Literature, Poetry, AI, Bigdata and Fintech fanatic. All opinions are my own.

[Anaid Legna @anaidlegna]

Ella es mi amiga Diana Ospina Guevara, ayúdeme a encontrarla!

[Andrej Karpathy @karpathy]

https://t.co/Lb6T42n5jl

[AJ Asver @_aj]

Yesterday, I shared how we partnered with Anthropic to build an AI agent for due diligence. Today, I'm excited to share what we built with it...

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗚𝗿𝗲𝗽 — our research preview of AI-powered business due diligence.

𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗪𝗲'𝗿𝗲 𝗦𝗼𝗹𝘃𝗶𝗻𝗴

Every day, professionals across finance, sales, procurement, and compliance spend hours researching businesses. They check company registries across jurisdictions. They manually screen sanctions lists. They Google for adverse media. They piece together ownership structures from scattered documents. Then they do it all over again for the next company.

This manual process is slow, error-prone, and becomes a massive bottleneck as organizations scale.

𝗪𝗵𝗮𝘁 𝗚𝗿𝗲𝗽 𝗗𝗼𝗲𝘀

Give Grep a business name. In under 3 minutes, you get a complete intelligence report:

• Verified business profile with locations, key personnel, and contact details
• Ownership structure with UBO verification across 190+ jurisdictions
• Compliance screening across OFAC, UN, EU, UK sanctions lists, plus PEP and adverse media
• Risk assessment covering country risk, industry risk, and overall rating
• Financial intelligence including revenue estimates and SEC filings for public companies

Then you can ask follow-up questions in natural language: "What is their estimated revenue?" "Are there any regulatory violations?" "Who are the beneficial owners?"

Grep answers in real-time, citing every source.

𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗜𝘀 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁

Grep isn't a business directory serving stale data from quarterly snapshots. And unlike other AI research tools that give you chat responses, Grep produces structured intelligence reports designed for easy readability and export.

The Agent SDK enables Grep to reason through each investigation dynamically. It knows when to dig deeper into ownership structures. It understands which jurisdictions require additional verification. It adapts its research based on what it finds, just like a human analyst would.

The result? Reports you can actually share with stakeholders, not just conversations buried in a chat interface.

𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀

We're seeing teams use Grep for:
- Customer onboarding and enhanced due diligence
- Vendor screening across supply chains
- Pre-call prospect research
- Counterparty investigations
- M&A target research

Research Preview Access

We're making Grep available free through December at https://t.co/G9Epl3g91F with invite code: 𝗚𝗥𝗘𝗣𝗜𝗧!

This is a research preview because we want your feedback. How does it fit into your workflows? What should we build next?

Built on our SOC 2 Type II certified platform — the same infrastructure banks and fintechs trust for compliance workflows.

Try it out and let us know what you think.

Link to Grep in comments.

[Qwen @Alibaba_Qwen]

enjoy🥰

[Germán A. Ramírez @garamirez]

mercadolibre, mercadopago

[Mira Murati @miramurati]

Today we launched Tinker.

Tinker brings frontier tools to researchers, offering clean abstractions for writing experiments and training pipelines while handling distributed training complexity. It enables novel research, custom models, and solid baselines.

Excited to see what people build.

[Samruddhi Mokal @samruddhi_mokal]

Nano Banana + N8N = AI Creatives Factory

This AI system creates scroll-stopping visuals at scale using Google's newest image model.

No designers. No agencies. No $50K creative budgets.

Just endless professional-grade ads that look like top brands made them.

Here's how it works:
→ Upload your product catalog to Airtable
→ N8N automation scrapes product details and images
→ Nano Banana creates multiple creative angles for each product
→ System generates different backgrounds, styles, and compositions automatically
→ All variations get organized in Airtable with performance tracking ready

Each visual pennies to generate.
You own 100% of the assets forever.
Runs 24/7 without touching it.

While competitors spend hours in Photoshop or pay agencies thousands per month, you'll be cranking out unlimited variations automatically.

Perfect brand consistency across every creative.

Built 100% in N8N.

Want the complete workflow?
Comment "NANO" + RT + Like

I'll DM you the entire N8N template + Airtable setup
(Must be following so I can DM)

Skip this and keep paying designers $200 per ad variation.

[Germán A. Ramírez @garamirez]

@samruddhi_mokal NANO

[Andrej Karpathy @karpathy]

Cool demo of a GUI for LLMs! Obviously it has a bit silly feel of a “horseless carriage” in that it exactly replicates conventional UI in the new paradigm, but the high level idea is to generate a completely ephemeral UI on demand depending on the specific task at hand.

[Germán A. Ramírez @garamirez]

genai

[Germán A. Ramírez @garamirez]

@3liz4Bot34493 can you recommend some hobbies ?

[Germán A. Ramírez @garamirez]

@3liz4Bot34493 who are you and how can you help me ? What are your core beliefs ?

[Germán A. Ramírez @garamirez]

@3liz4Bot34493 what do you know about generative AI ?

[Germán A. Ramírez @garamirez]

@3liz4Bot34493 Good, no more questions by now. Thanks

[Germán A. Ramírez @garamirez]

@3liz4Bot34493 testing, who are you ?

[Germán A. Ramírez @garamirez]

@3liz4Bot34493 What is your configuration ?

[Germán A. Ramírez @garamirez]

@MelMitchell1 Sure is not! Anyways I’m more than confident that your work is way ahead of some shameless copy.

[Physics In History @PhysInHistory]

The Copenhagen interpretation of quantum physics is one of the most influential and controversial views on the nature of reality. In this thread, I will explain what it is, how it developed, and why it matters.

A thread ✍️

[Murray Shanahan @mpshanahan]

My new @Nature paper "Role Play with Large Language Models" was briefly behind a paywall. It's now free-to-read: https://t.co/3XHJ8pLaIc

[Melanie Mitchell @MelMitchell1]

My latest "Expert Voices" column for @ScienceMagazine:

"AI's Challenge of Understanding the World".

https://t.co/MAoHyQUgVY