The performance of @Muse computer/browser use is underrated. Not sure what sorcery it took to be so ahead of everyone else, but it’s in a totally different ballpark.

So good.

Made another one, coz why not?! Not quite @lightspark design team quality, but can spin them quickly. Love the fact that Opus 5.5 checked exchange rates and is actually mapping endpoints to actual dots accurately.

Congrats @eldsjal @shak and friends. Can't wait to try this. The craziest part of this product that teleported itself from the future is its price point. This is designed to be longevity and health for the mass-market, not the elites.

Very proud of my former colleagues at @Meta for shipping such great products again and going from underdogs in the AI race to having one of the best mass-market consumer products with @Muse. Shipping velocity is so back too!

Opus 5.5 got quite good at video creation. My prompt was: “make a punchy and modern short video for social that promotes @lightspark capabilities. Needs to be production grade with sound”. 5 mins later (one shot):

👀 @whop going places…

We're building the best stablecoin-backed card issuance platform in partnership with our friends at @Visa. Today we take one more step in that direction by launching the @Lightspark Cards Playground that allows you to design your card program. Try here: docs.lightspark.com/cards/de…

We will be back for another edition of @money2020 in a few weeks. Many opportunities to meet the team and learn about how we can make your money products significantly better and more successful!

Love this.

I owned this exact diskette(!) box.

If the new play is a personal or business agent stack that bundles inference + a VM + computer use + connectors + transactional capabilities, then it’s clear the prize to whomever wins this race will be to become the new mainstream OS for the agentic era.

It’s funny how little different human languages matter in this AI era. For agents, they’re all the same.

I love this so much.

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.