Paul Meinshausen

CEO/Founder at Aampe, angel investor (@supabase, @Bifrost, @locofy_ai, et al), earlier CoFounder/CDO @ PaySense (acqd 2019).
Compute x Chance.

[Paul Meinshausen @PMeins]

Nah, if there's a continental or civilizational divide here ( vs just dramatic signaling) the US way is to recognize that rules can and should be changed when they are wrong. Whereas the Europe way is to say "it's always been that way and there's nothing we can do to change it."

[Rutger Van Werde @rutgervanwerde]

@JamesSurowiecki yeah sure😂 let’s try this: I think the US should have said: it might not have been a red card (which it was, but irrelevant) but we have to accept it, just as all other footballing nations have done for decades. The rules are clear and always have been and the same for everyone

[Vik Paruchuri @VikParuchuri]

We shipped Chandra OCR 1.5 to the Datalab API this week!

This is a big improvement over 1.1, especially on tables, lists, charts, chemistry, and math.

[Paul Meinshausen @PMeins]

@TimTeaFan @iruletheworldmo Or just because it's not that well written. 🤷🏼‍♂️

[Paul Meinshausen @PMeins]

Such an awesome opportunity to work with a small and incredible team!

[Vik Paruchuri @VikParuchuri]

We're hiring in NYC!

DM if you're interested in training SoTA OCR models, and helping thousands of customers (including tier 1 AI labs) work with documents.

[Akshay 🚀 @akshay_pachaar]

Everyone is sleeping on this new OCR model!

Datalab's Chandra topped independent benchmarks and beat the previously best dots-ocr.

- Support for 40+ languages
- Handles text, tables, formulas seamlessly

I tested on Ramanujan's handwritten letter from 1913.

100% open-source.

[Paul Meinshausen @PMeins]

@MaziyarPanahi @huggingface @nanonets @PaddlePaddle @datalabto @VikParuchuri @VikParuchuri is quite committed to open source

[Schaun Wheeler @schaunw]

An LLM, by itself, cannot be truly agentic. Same for swarms, teams, workflows, or “multi-agent” systems. If the LLM drives everything, it’s not agentic. LLMs can be useful appendages, but not a sound foundation.

https://t.co/zUbOlvP6og

[Schaun Wheeler @schaunw]

Technology is enabling, but also constraining. Choosing a tool means trading flexibility in one dimension for scale in another. Customer engagement is no different. Campaigns, in particular, aren’t neutral abstractions—they’re design choices with real consequences. 🧵

[Schaun Wheeler @schaunw]

How a system navigates the explore/exploit tradeoff is more important than the claim that it does so. If you’re trying to build or evaluate an agentic system, here are the questions I think you need to be able to answer. 🧵

[Paul Meinshausen @PMeins]

@sjs_day1 Yes, I understood the point and context. I didn't make the observation I was adding clear enough: there are many great companies with tens of thousands of employees and a high revenue per employee.

But I suppose we are mostly talking past each other. 🤷🏼‍♂️👍🏼

[Paul Meinshausen @PMeins]

@sjs_day1 The size of your team is a secondary concern. It's what you can do with your team that counts.

[Paul Meinshausen @PMeins]

@sjs_day1 Sure it's a challenge to grow a human effectively. But so what? That's what great founders do: take on hard challenges to bring outsized value to the world.

[Paul Meinshausen @PMeins]

@sjs_day1 I really don't get the apparent obsession with tiny teams that seems to prevail in AI discussions. It seems like it services more from cranky and malformed interhuman skills than any intellectually rigorous case for value.

[Sidu Ponnappa @ponnappa]

So @RTinkslinger is hosting @PMeins
and myself to discuss how AI-first orgs and multi-agent systems are reshaping the enterprise.

28 Jan. Deets in the tweet below.

Do join us!

[Paul Meinshausen @PMeins]

@etirabys When I'm mentally/intellectually exhausted, I go work hard physically and I recover better mentally. When I'm emotionally exhausted (eg after a long/fun weekend with my kids), the best recovery is a lot of work (intellectual energy)

https://t.co/PLpgKTX44O

[Paul Meinshausen @PMeins]

@etirabys The best recovery from effort/exhaustion in one domain of energy is effort deployed in a different energy domain.