We are hiring!
At Whitehole, we are building technology to understand the world through data and to generate better investment decisions. We are looking for talented individuals who want to work at the intersection of data, technology, and finance.
If you are interested in joining a small, high-performing team where you can have direct impact, take a look at the role below:
https://t.co/D7sXrfIbNq
We value people who are rigorous, accountable, and comfortable operating in uncertain environments.
If this sounds like you, we would like to hear from you.
9/9 Does such a library of tests exist? Shouldn't we start building one? What guardrails do you think we need so we keep the crazy speed without ending up with a fragile mess? 👋
1/9 Back in 1974 Larry Niven and Jerry Pournelle dropped The Mote in God’s Eye. They imagined an alien species split into specialized castes. The Engineers weren’t smart like humans. But give them a real problem and they’d build exactly what you needed. Perfectly tailored, right there on the spot. It was a world with no standardization, every part was unique, custom built for that exact moment. 🧵
8/9 Two things I believe can help:
You own the schema: Never let an agent own the database schema. Treat data as an immutable "vault" that stays standardized, while the agent-built software acts as a disposable skin. You can rebuild the app every week, but the core business facts never move.
Formal Verification Enforcement: Before an agent deploys a "bespoke" CRM, it must pass a "Standard Compatibility Test" (a set of unit tests that define what a CRM must do, regardless of how it's built).
At the moment, a huge amount of attention is rightly being paid to the newly announced tariffs and their significant impacts on markets and economies. But very little attention is being paid to the circumstances that caused them—and to the even bigger disruptions likely still ahead. Don’t get me wrong: these tariff announcements are important developments. But most people are overlooking the much larger forces that are driving just about everything, including the tariffs.
In my latest article, I discuss what I believe is far more important to keep in mind: we’re witnessing a classic breakdown of the major monetary, political, and geopolitical orders. This kind of breakdown happens only once in a lifetime—but it has happened many times in history, when similarly unsustainable conditions were in place.
#principles #politics #economics
@arrola Revisión a mitad de periodo: 316% frente a un 94% del S&P500. Decepcionan Disney y Tencent, pero la tesis no cambia. Hablamos en cinco años.
Buscamos Junior SDR [BCN, 22k+Comis.) Incorporación: 16 Sept. Serás nuestro 1er SDR https://t.co/dJz6AC4dWn Spoiler: Equipo de 8 que crecerá (pero no a lo loco...😉) [Se agradece RT! Gracias!]
here is sora, our video generation model:
https://t.co/CDr4DdCrh1
today we are starting red-teaming and offering access to a limited number of creators.
@_tim_brooks@billpeeb@model_mechanic are really incredible; amazing work by them and the team.
remarkable moment.
Los datos de movilidad humana son muy útiles para tomar decisiones sobre ubicación de negocios, pero ¿de dónde vienen estos datos? Fuente: Entrevista para Gananzia https://t.co/hKIC0EZrDn
Raspamos precios de marketplaces como Amazon para entender la dinámica competitiva, estimar cuota de mercado y optimizar el posicionamiento de los productos. Fuente: Entrevista para Gananzia https://t.co/FnFYnT7tFX