gpt-oss is a big deal; it is a state-of-the-art open-weights reasoning model, with strong real-world performance comparable to o4-mini, that you can run locally on your own computer (or phone with the smaller size). We believe this is the best and most usable open model in the world.
We're excited to make this model, the result of billions of dollars of research, available to the world to get AI into the hands of the most people possible. We believe far more good than bad will come from it; for example, gpt-oss-120b performs about as well as o3 on challenging health issues. We have worked hard to mitigate the most serious safety issues, especially around biosecurity. gpt-oss models perform comparably to our frontier models on internal safety benchmarks.
We believe in individual empowerment. Although we believe most people will want to use a convenient service like ChatGPT, people should be able to directly control and modify their own AI when they need to, and the privacy benefits are obvious.
As part of this, we are quite hopeful that this release will enable new kinds of research and the creation of new kinds of products. We expect a meaningful uptick in the rate of innovation in our field, and for many more people to do important work than were able to before.
OpenAI’s mission is to ensure AGI that benefits all of humanity. To that end, we are excited for the world to be building on an open AI stack created in the United States, based on democratic values, available for free to all and for wide benefit.
Yesterday we hosted a wonderful @vercel community event in Berlin.
Huge thanks to @cramforce and @patloeber for their inspiring talks, and to everyone who joined us—your energy was everything.
Can’t wait to see you all at the next one! I already got some proposals for next talks!
4 takeaways importantes de tech y careers:
1. hay una power law fuerte en tech para shippear customer value. 80% value lo genera 20% people (lo que tambien implica 50%/1%, hagan la cuenta) o más pronunciado . busquen cracks y buena persona. punto
2. si alguien nuevo entra y hace que un equipo shippee mucho más que antes: hay que ver cómo hacer que siga pasando :). se vuelve contagioso y parte de la cultura
3. siempre, y sobre todo cuando entras a un lugar, rómpela lo más que puedas. entende compounding de learning, features, reputation (antes es mejor). si se te complicó, avisa
4. los burnout que vi nunca fueron por muchas horas de hacer algo que a alguien le gustaba. fueron por value misalignment (ej: laburar mucho cuando no se te valora o la cultura cambió)
todos takeaways del post de hoy y sus replies👇
Aprovechen Argentina. La cantidad de genios por m2 es 🤯. Yenkel es OG del equipo de @auth0 y, para los que estamos en la industria hace un tiempo, fue fascinante ver el hipercrecimiento por el que pasaron y como su producto tmb fue evolucionando. Hoy Auth0 es un ejemplo a seguir. Síganlo para ver como siguen innovando en la industria.
With automation taking over there are clearly very brilliant people working on products that have historically been seen as unglamorous compared to FAANG. For example lawn care: they’re building mowers with centimeter accurate positioning, image recognition, lidar. Very cool.
With automation taking over there are clearly very brilliant people working on products that have historically been seen as unglamorous compared to FAANG. For example lawn care: they’re building mowers with centimeter accurate positioning, image recognition, lidar. Very cool.
I'm not a Mr Beast watcher, but I love the example he set
Because nobody has any good excuse for why they aren't as successful as Mr Beast
He's not a male model, not a 150 IQ supergenius, not a comedy prodigy
Just what happens when you're willing to lock-in to insane levels