We're in a really interesting place in consumer AI right now because model COGS are so high ...and yet most people still cannot pay for software So getting mainstream usage is essentially a game of "who can bear to give away the most compute for free"

Why should you move to SF? - to experience homelessness - to experience hope - to experience dystopia - to experience utopia - to experience optimism - to experience insanity - to experience ambition - to experience ambiguity - to experience future - to experience history - to experience beauty - to experience filth - to experience life force - to experience apathy - to experience community - to experience solitude - to experience greatest food on earth - to experience weird meal prep food - to experience awe-inspiring cable cars - to experience shady buses - to experience the possibility and power of dreams - to experience intensity - to experience cold hearts - to experience belief in the power of young - to experience the best of capitalism - to experience worst of capitalism - to experience serendipity - to experience failure - to experience success - to experience power hungry people - to experience philanthropic power - to experience universe - to experience hell - to experience unparalleled beauty - to experience economic cycles - to experience power of rent control - to experience hacker houses - to experience mansions - to experience 2SLGBTQ+ culture - to experience singledom woes - to experience hustle culture - to experience yacht parties - to experience post-money society - to experience consciousness experiments - to experience transactional relationships - to experience kindness and compassion - to experience empathy - to experience insult - to experience fitness and looksmaxxing obsession - to experience banya, puppy yoga and weird ass workouts - to experience hiking - to experience coffee - to experience code - to experience tech mafia - to experience tech openness - to experience the power of young people - to experience the power of networks - to experience Jeffersonian dinners - to experience the lust of money - to experience the detachment from money - to experience different cultures - to experience tech monoculture - to experience first principles thinking - to experience the sheepish behavior of so-called contrarian thinkers - to experience fomo, fear and greed - to experience angel investors - to experience predatory investors - to experience the joy of building - to experience the power of GTM - to experience PLG - to experience churn - to experience dreams coming true - to experience unnecessary hype - to experience monoculture - to experience whacky culture - to experience residencies - to experience shared living - to experience vibe investing - to experience tribe investing - to experience the thrill of doing your life’s work - to experience the pivot hell when technology industry shifts overnight - to experience the power of X - to experience the futility of social media - to experience the realty of founders making no money on exits - to experience the joy of founders making generational wealth - to experience your friends moving away in a few years - to experience new people coming every week - to experience fortunes being made overnight - to experience the perseverance of founders - to experience the role of luck in life - to experience the fact that luck can be tamed by work - to experience the power of giving - to experience the energy of being surrounded by A+ personalities - to experience the anxiety faced by seemingly confident people - to experience the pain of barking the wrong tree - to experience the miracle of PMF - to experience the drive of immigrant founders - to experience the house parties - to experience the power of having an airport 20 mins from you - to experience the world coming to you - to experience the joy of walking - to experience the art of jumping over poop - to experience self driving cars - to experience the feeling of ‘knowing’ what the world will know in a few months - to experience the fact that there are no secrets - to experience that great man theory is so true

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.

Personal assistant agents are going to be a very exciting AI category. It’s the first time you can have high token volume agentic use-cases that make sense for consumers. Lots of different approaches emerging right now, and it’s going to be hyper competitive because these agents will mediate a lot of consumer spend over time. But this certainly plays directly to Meta’s strengths: lots of compute required, can monetize with ads and commerce, software focused experiences so can distribute it at scale, and so on.

Your devices are stronger together. 🖥️🤝🖥️ Just announced at IFA, NVIDIA PAIR automatically links systems across your local network and sends inference requests wherever there’s available capacity, helping agents run more efficiently.

⚠️DON'T BUY A MODEL Y RIGHT NOW ..wait and buy a (2) Cybercabs and profit $$$ In a year, then you can buy your Model Y L $$$

You need to build and own your own intelligence: your own agent, your own models, your own memory Join us for the YC Own Your Intelligence Hackathon September 27 in San Francisco events.ycombinator.com/gstac…

Introducing Atlas: The world's first multimodal world model that generates image and video frames with pixel-perfect camera control and reconstructs them in 3D. Model the world, move the camera, and simulate space & time.

Defeat in N17.