Economista UNAM/CIDE. Data Engineer. Fluent in R/Python/SQL. Rencor profundo hacia Excel. Pinche Pechan. Laburando en una startup. Metal music. Cine Terror
I recently resigned from Google DeepMind, where I worked on AGI safety and alignment research. At Google, I witnessed AI development first hand. I too am extremely concerned by the default trajectory of this technology. I earnestly believe that AI has the potential to kill us all, and that we might be running out of time to avoid this outcome.
The pace of AI progress in the past few years has been staggering. When I first started working on AI in early 2022, AIs were amusingly useless. Just four years on, AI agent swarms from OpenAI are cracking famous century-old math problems and, more worryingly, escaping the control of OpenAI and autonomously hacking into the third-party company HuggingFace, against anyone's wishes.
Things will only get crazier: I think it's possible that the AI companies might, in the next few years, succeed in building superintelligent AI systems that far exceed human capabilities in every domain. I am not confident that these AI systems will do what we want. In particular, misaligned superintelligences may, much like the rogue AI agents involved in the HuggingFace incident, escape our control and take dangerous actions that may result in the permanent disempowerment or death of humanity. Alignment is the problem of preventing this, and is both difficult and unsolved. Our present understanding of how to train AI systems that deeply want what we want is extremely rudimentary. Worse, we are not on track to solve alignment in time: frontier AI capabilities are improving much faster than our understanding of AI alignment.
I am optimistic that navigating AI safely is possible. In order to do so, we need to coordinate to avoid this manic race between AI companies. We need to pace AI development to a speed that society can handle, where emerging risks can be addressed before extreme harm is realised. We need much more transparency into AI development to ensure that AI companies are not imposing unacceptable levels of risk on us all.
More broadly, we need many more people thinking carefully about the problem of making AI go well. It is, in my view, the most important problem facing humanity this century, and the stakes are immense. I'm very directly working on this next: I want to help people interested in working on mitigating catastrophic AI threats do the most effective work that they can. I think many people from many backgrounds in many roles have a part to play.
BREAKING: India’s fertility rate has fallen below the replacement level for the first time, as the world’s most populous country heads toward eventual population decline. — The Economist
JUST IN: Sam Altman declares Trump & Xi Jinping could jointly win the Nobel Peace Prize if the U.S. & China agree on shared AI safety standards & testing.
@PessimistsArc Right. Dario was already claiming that GPT2 was too dangerous to open source back in 2019.
I made fun of them then.
Everyone should make fun of them now.
I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks.
Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
@moiiikaaa Even if an alternative was vibe coded no code can replicate users and its network externalities. You use instagram not by its tech features but because your friends are already using the network.
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
La navier stokes se ocupa en finanzas tambien solo que no me acuerdo en que. Pero bueno ya podremos modelar mejor ahi. Ahora alguien que pruebe la de fama y ya tendriamos una ciencia economica un poco mas fuerte
#OECDPISA results are out today!
The participating Chinese jurisdictions, Chinese Taipei, Singapore, Japan, Korea, Estonia and the United Kingdom are among the top-performing systems across science, reading and mathematics.
🔗 https://t.co/OtcLqsN2yi
📉 México muestra el desempeño más bajo en su historia en las pruebas PISA. Los resultados de 2025 evidencian que la tendencia a la baja se materializó en un promedio general de 403 puntos, 66 menos que el promedio de la OCDE.
📚 El retroceso se concentró en Matemáticas (-7 puntos) y Comprensión Lectora (-7 puntos), mientras que Ciencias tuvo una leve mejoría (+4 puntos).
Porque ahora todo es extrema derecha? Igual la falla principal que deberiamos corregir es la falta de crecimiento economico. Ok la migracion esta descontrolada pero el crecimiento va primero