Análisis en clase de Deals:
Ingenia le ha dicho NO a Warburg Pincus. Otra vez.
US$1.470M y una prima del 16,9%. ¿El problema? Exigían soltar la compra de Peet.
Clave de sell-side: una oferta que te obliga a desmontar tu estrategia no es una oferta mejor. Es otra operación.
La UE investiga a Meta por cerrar WhatsApp a bots de terceros. Lo vivo en primera persona: cuando la plataforma estornuda, los que construimos encima nos resfriamos. Si Europa fuerza la apertura, la distribución cambia para todos. Dependencia de plataforma = riesgo de negocio.
Empiezo a entender el pánico de los investigadores de la IA. Hasta leer este texto, redactado por uno de los investigadores senior de OpenAI, estaba más en el lado de quienes piensan que la motivación de los doomers es politica y economica. Pero este texto explica una cosa: es dificil construir una IA que nos ayude a solucionar grandes problemas y que al mismo tiempo no sea una manipuladora excepcionalmente humana eficaz.
Registration is open now until 4pm BST on 17th Sept!
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#OasisLive27
The world deserves confidence that American companies developing increasingly capable AI will act responsibly, especially as the trajectory of progress has steepened. Every frontier lab must deliver on this, and there is no reason any of us should come to work if we cannot.
We welcome a federal framework that sets consistent safety requirements for frontier AI. But we do not believe we need to wait for an anti-trust exemption or legislation to begin the work of providing this confidence. Consistent rules to manage frontier risk so that we can maximize the benefits are a good idea (and we are excited by ideas like independent auditors).
Years ago, companies like ours developed things like Responsible Scaling Policies and Preparedness Frameworks. Those were good for that moment, and focused primarily on the deployment of completed models, not what happens during their development process.
Today's shift to focusing on safe development and evaluation will need new tools. For example, at OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability, in addition to the safety work we have long done in advance of model releases.
We hope that other companies will learn from our approaches and propose their own; we think shared standards for misalignment, monitoring, and safety will lead to better outcomes. We look forward to collaborating with our colleagues across the industry to formulate the best version of these.
When we talk about “pacing”, we do not mean “stopping”. Progress has been rapid and will continue to be. But it should be slower than it otherwise could be; interventions like safety cases and monitoring have significant costs.
Pacing will be well worth this cost; no amount of American competitive pressure should justify recklessness, or let capabilities get ahead of alignment and monitoring.
Where we will need the help of our government is for international coordination. But first we should do what we can ourselves.
La diferencia entre el Circuit de Catalunya y el Madring es que el primero se construyó para competir y esto se ha montado para facturar. Enhorabuena a la organización por sacar esto hacia adelante, pero claro está que aquí lo deportivo es lo de menos. Carreras soporíferas.
Lo mal que estuvo la estrategia de @LandoNorris fue el piloto más rápido. Bien por Kimi que está a 3 carreras de ser el campeón más joven de la historia.
The leaders of Scotland, Wales and Northern Ireland will gather on Monday to sign a deal designed to kick-start the break-up of the United Kingdom, The Telegraph can disclose.
🔗: https://t.co/VeumqCHVkT
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.