Nathan Lin retweeted
Google has activated its first AI satellite in orbit, running an AI model on board that wrote poetry while circling Earth.
The prototype, part of Project Suncatcher, launched on a SpaceX rocket on Oct. 1 with four of Google’s TPU AI chips.
Nathan Lin retweeted
"Pessimists sound smart. Optimists make money." —@natfriedman
Nathan Lin retweeted
BREAKING: Palantir, $PLTR, CTO has said that some AI researchers are taking up smoking because they expect AI to cure cancer
Nathan Lin retweeted
Our house in Toronto had this fancy glassed wine cellar, but we are not big wine drinkers.
Anyways, it had good climate control so here is my rack cellar.
Zuck is doing it right
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisforevery…
Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.
The reality is:
- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.
There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.
- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.
Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.
- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.
- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.
I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
I can’t think of anything more American than entrepreneurship and the desire to achieve amazing things in life. @ycombinator and @garrytan are patriots
Nathan Lin retweeted
A huge amount of the Anti-AI code sentiment massively overestimates the quality of human code outside of a very small set of open source and high quality company codebases. Human Slop is everywhere and can trivially be improved on by any opus level model.
“Un-stocked people” is all time great terminology
























