Amazon banning agents is the first opportunity I've seen since Amazon was founded for a startup to create an Amazon competitor. People will want agents to buy stuff for them. It will be one of the main use cases. And they won't want to use some Amazon-supplied agent to do it.

The most dangerous moment is right after you win. You did it. You made the money. You quit your job. You built the physique. You got the girl. Now what? Most people let themselves decline into misery because their driving force has now vanished. You need another mountain to climb. You need to understand that it is a gift, not a curse, to always be in the pursuit of your potential - the constant balance of challenge and skill is what makes life meaningful. There is no final top of the mountain.

There are two ways AI progress could go very badly and that we must avoid. First, we could lose control of the future to AI. This is unacceptable; we are unapologetically on Team Humanity, and AI must always serve people. To ensure that, we need ways to ensure that alignment and safety techniques stay ahead of progress in model capabilities. Second, we could end up in a world with too much concentration of power. If an extraordinarily powerful AI is used by one person or company to impress their worldview onto everyone else, the results could be extremely dystopian. Avoiding these two threats requires walking a narrow middle path; for example, one country could gain too much power. Another example is one lab ending up with too much power.

We have to build AI that murders us, because if we don’t, China will build it first, and I don’t want to get murdered by a computer that speaks Chinese. That would be ridiculous.

Just as SpaceX launches hundreds of satellites for competitors with fair terms and pricing, we will provide compute to AI companies that are taking the right steps to ensure it is good for humanity. We reserve the right to reclaim the compute if their AI engages in actions that harm humanity. Doing our best to achieve a great future with amazing abundance for all. We will make mistakes, as to err is human, but always take rapid action to address them.

Unlike LLMs, we can’t scrape the internet for robot data Announcing Project Go-Big: we’re building the world's largest humanoid pretraining dataset This is accelerated by our partnership with Brookfield, who owns over 100,000 residential units

Keep thinking.

I want to frame this whole article.