I believe the opposite. As your wealth increases, I think you should dress a certain way and buy certain things, as doing so employs tailors, artists, and craftspeople. These trades are dying from a lack of patronage. In the past, these trades flourished under wealthy patrons who valued beauty and craftsmanship, sometimes producing things that benefited the broader public, such as creating beautiful libraries and museums. Today's elites seem more interested in optimizing their health and wealth, pursuits largely confined to themselves. A tailor who makes clothes for wealthy clients has a steady stream of income. In doing so, they can also take on side projects, such as making clothes for films and theatre. Without the first, they risk going out of business, and the public consequently suffers.

Hot take: I don't like queueing messages. Modern models are smart enough to take a "steer" message and not get distracted by it

Mark, by @colossusjeremy. This is a story about the head of history's largest nonterritorial empire, who nonetheless remains a prisoner of his rivals. Has he finally found a way out? The profile has been nearly a year in the making. Stern interviewed three dozen people, including Zuckerberg, his MMA coach, and his critics and competitors at the frontier AI labs. He spoke with his parents, Karen and Ed, and watched their son get punched in the face. The story spans Meta HQ in Menlo Park, the Zuckerbergs' homes in Palo Alto and Lake Tahoe, and a party in a Manhattan warehouse with Kylie Jenner and Timothée Chalamet. There is also a sneak peek of Aaron Sorkin's forthcoming sequel about Zuckerberg, sourced via a Hollywood fixer Stern first encountered in Russia. The result is a profile unlike one you've read before. colossus.com/article/mark-zu…

pre-kids: red eyes are the worst - why would anyone take them?? post-kids: red eyes are honestly the best. i can tuck my kids in bed and wake up in a new city and get going right away. (typing this from a red eye headed to NYC rn)

I am building out Meta's compute desk. I am looking for folks with background in any of: deep learning, supply chains, commodities, semiconductors, sovereigns, energy, Excel, prediction markets, monitoring situations, etc. Candidates should have experience in at least one of these domains, and novel ideas on how to apply LLMs to their work. If you'd like to help manage $100b+ of compute spend, please DM and include information about why you're a fit. (If you're in doubt about being a good fit please apply! Epistemic humility is in short supply these days.)

Thoughts: 1. In the future, the probability something is generated entirely by AI will be inversely proportional to its intended lifespan. 2. For conceptually simple artifacts that are intended to have short lifespans, humans will still be involved just at a different level of abstraction. For example, I'm super excited about @Weavy_ai (Figma Weave) because it shows what's possible when you treat AI generation like clay to shape rather than the final output. Workflow building is a new skill to explore and learn. 3. If you intend for an artifact to have a long lifespan (ex: software, a novel, a movie), then AI might still aid you in your creative process. But you will bring great intention to the work. You will think through many different approaches. You will care about the smallest of details. You will lean into the craft. Because if you don't, it won't be good enough to last. It won't be noticed. It won't be loved. It won't matter. 4. Focusing just on software now... people don't like it when software changes. Everyone who has shipped a redesign knows this! So you might be generating new content within a piece of software frequently but of course you wouldn't redesign the fundamental UX of the software all the time. Users would hate it. As a grounding metaphor, consider a house. Yes, you might change the photos and papers and magnets stuck to your fridge a few times a week. Once in a while, you reorganize stuff or move furniture around. After living in the house for a while, you maybe notice issues around how you use the space and — with great intention — embark on a remodel. Some parts of the house, like the fridge, change a lot. But the overall structure of the house changes less. When asking what will be generated by AI, don't confuse the whole for the parts, the long lasting for the ephemeral. 5. It's intellectually interesting to think about whether a brand might want to adapt their software on a user by user basis. (Certainly individuals will be able to make more software for themselves if they are so inclined. For example, see Figma Make.) That said, my strong gut right now is that we will not end up in a world where brands customize software on a per user basis. People learn how to use software from other humans. Snapchat is a great example. For a new user, Snapchat is kind of confusing. You can see this as a design issue or an advantage... I argue it's an advantage. By leaning into custom patterns and a learnable (but arguably non-intuitive) interface, the resulting network is a more intentional space. If you're young, you'll learn how to use Snapchat by watching your friends use Snapchat. And if you're older, well, you might not be the intended demographic. 6. To wrap up... we are in a world where the amount of software is growing at an exponential rate. If you want to win, design is the differentiator. Invest in design, craft, storytelling and a bold point of view. Use AI as a tool, but don't expect it to build the next big thing for you on its own. Don't expect it to make something that no one has ever seen or imagined before. That's your job.

Great overview of where product management is headed - Problem shaping / clarity - Context curation - Evals / taste

If you thought Tik Tok was a manipulative, you ain’t seen nothing like a free, open source Chinese AI model designed to influence what Americans think. The HUGE point people miss about the AI wars between our foundational models and those from China, is that if it’s perceived their models are better, and cheaper, China will open source theirs. Our companies, and global developers, will use them for most everything. At that point, not only will China have won the AI tech war, they will have a trojan horse to influence how we all think Scary