Instacart is coming to @Muse! Soon, you can connect Instacart, say “Taco Tuesday,” and turn the idea into a cart from your favorite store. Then check out and get groceries delivered to your door. Same Instacart grocery experience, new way to get started. https://t.co/RQYfy7qn0I
@elonmusk meta is doing something similar - need a consortium of some kind to take down all these bad actors! too much craziness out there...
https://t.co/OstBRMUKT5
https://t.co/bzKOfJwNj8
muse is going NATIONWIDE to a television near you
this is our first @muse ad ever, going live this weekend! we hope you like it while watching the big game(s)!
big ups to @joshginsberg, denise, and the whole meta marketing team ❤️
we just launched invite codes in @Muse !
if your friends use your invite code when signing up, both of you get 🎉1 BILLION TOKENS EACH🎉 for up to 20 friends!
and if you invite all 20 friends, you’ll get early access to our newest features (like 📞☎️🤫 and more!)
Last month I wrote about how we can build a positive and safe future for everyone: https://t.co/eoLGVY8yad
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'm discussing “India’s chances in WTC(World Test Cricket Championship)”. Today, Feb 9 at 9:30 PM PST on @joinclubhouse. Join us! https://t.co/VyoE4ebD4X
No Tamil album is quite complete without your magical voice. We are really blessed that you accepted our humble request to sing for #VellaiPookal
Engal Idhayagalil Endrum SPB.......
💔RIP #SPB sir