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Can You Use AI To Make Good Art? — With Fred Graver

AI & I by Every · 2026-10-29

Speaker 1 | 00:00 - 00:18
The industry is in a tailspin. There are fewer opportunities for writers and producers and people who make things. And I really had the conviction that AI can help you figure out who you are, how you have to survive in this world, and also how to make things that will then promote you and promote your career.

Speaker 2 | 00:18 - 00:40
Depending on who you ask, right now is an apocalypse for creative people, or it’s like the best time to be alive ever. I think it’s it’s one of the most important questions about AI as a technology. Can you use it to make good art, or c…

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Swyx (@swyx)

  • Gemini #1 on AAv5???

this is making me open up @antigravity for the first time in a long time. i’m getting an early review, will report back soon.

if google actually pulls this off it is officially comeback season with Meta, Grok and now GDM being cool again.

@saranormous talked about model neurodiversity last year. we have roughly 2x more frontier labs than when she was last on the aie stage. absolutely bizarre counter example to the bitter lesson. [109 ❤️ 1 🔄]

  • hello from literally everybody who took psychology 101 in undergrad [126 ❤️ 7 🔄]

Josh Woodward (@joshwoodward)

  • @Strava You can turn it on here: [6 ❤️]
  • New in Gemini: Connect your @Strava account to turn years of raw workout logs into your personalized coaching plan [432 ❤️ 25 🔄]
  • 2 weeks ago: Gemini 4 Argon
    Today: Gemini 4 Carbon

The frontier is fast, and the internal vibes on this model are good. Rolling out to cyber defenders first, then more widely available as the next step! [884 ❤️ 50 🔄]

Boris Cherny (@bcherny)

  • Utah gave Claude Code to 34 developers across 10 state agencies. 80% had a working environment within 30 minutes, 71% reported saving 20+ hours by the end of the four-week pilot. [2446 ❤️ 80 🔄]

Thibault Sottiaux (@thsottiaux)

  • Day 24/ Text your dot just like anyone else. Makes it super easy to share/forward things, leave it voice notes or you can even go creative with “Hey Siri, text Iggy to <INSERT WILD REQUEST>” and sit back and relax. [2574 ❤️ 93 🔄]
  • Team is working on this but it’s not rolling out just yet, sorry for any confusion. Plan is to bring together best of both Chat / Work capabilities together at some point this year, but we’re going to proceed carefully here and take our time.

We’ll have more to share soon. [3920 ❤️ 234 🔄]

  • Pretty wild that this site got 3M views. [4762 ❤️ 61 🔄]

Peter Yang (@petergyang)

  • The job that AI will never disrupt is selling your little hand-made trinkets at the local farmer’s market.

Farmer’s markets are about to experience a renaissance, mark my words. [79 ❤️ 8 🔄]

  • .@ChatGPT and browser use has been an absolute godsend for working through medical paperwork. [22 ❤️ 1 🔄]
  • I think world models are still in the GPT 3.5 era, but not for long.

Like the old Will Smith eating spaghetti videos, world models are impressive but not quite there yet. You can see it in the reel below, which has a mix of my Genie 4 generations and Google’s.

But once they hit the GPT-5 or GPT-6 stage, I think they’ll have massive implications for a lot of industries:

Movies - A big effects shot like a dragon battle takes a VFX studio months of work. With a great world model, a director could create a single frame and have AI generate the full scene from it.

Games - From my time working in gaming, I learned the real work is core loops, progression systems, and the mechanics that make a game fun. World models are already good at graphics and sound, but the gameplay isn’t there yet. Still, they’ll make it much easier for anyone to build their own game that looks and sounds amazing.

Just like the rise of personal apps, I think world models (along with good coding models) could make creating your own game as fun as playing a mass market one which again has huge implications.

📌 Watch my full Genie 4 tutorial to see how I created the worlds in the reel below: [14 ❤️]

Nan Yu (@thenanyu)

  • HEY JOHN APPLE 5G ON MY MACBOOK SEND TWEET [23 ❤️ 1 🔄]

Thariq (@trq212)

  • I think the same is true of creative fields, like I see artists really worrying about AI

but I wish so badly that I could sketch animation ideas and character concepts for my agent to flesh out instead of trying to find examples

I don’t have the language! [1290 ❤️ 33 🔄]

  • very weird thing happening rn

technical people are sad, they think their skills are now useless

non-technical people are desperately wishing they were more technical so they could use agents better [23251 ❤️ 1418 🔄]

  • courage in shorter supply than genius [5119 ❤️ 323 🔄]

Amjad Masad (@amasad)

  • [3 ❤️]
  • ViBench 2.0 (prompt to app benchmark) just dropped and GPT 6.1 Sol takes the lead. [98 ❤️ 3 🔄]
  • [32 ❤️ 1 🔄]

Guillermo Rauch (@rauchg)

  • This is like DNS for models. An alias that resolves to a model, giving you traffic-steering abilities.

Solves a huge number of problems. From not having teams stuck on old model versions, to saving on costs, to removing “decision paralysis”. Try it! [196 ❤️ 4 🔄]

  • Excited to partner with @suhail to serve Particle’s models and inference via @vercel AI Gateway.

Particle’s mission is to make intelligence as accessible and abundant as electricity. Together, we’ll make this a reality for every developer and enterprise. [116 ❤️ 1 🔄]

  • Vercel CI solves the “AI coding bottleneck” via:
    ① Fast and stable infrastructure (faster work)
    ② Turborepo integration (less work)
    ③ Agentic CI

① is obvious. Your CI is slow, flaky, goes down. We solve that. We operate 20 worldwide clusters doing millions of microVMs per day.

② is less obvious, but very powerful. Turborepo was designed to intelligently skip and cache prior work. The graph of dependencies is computed, not written.

Ask your agent to migrate to @turborepo and start saving money and time. Even if you don’t use us. But you should, it’s really good.

③ is a game-changer. 𝚟𝚎𝚛𝚌𝚎𝚕 𝚌𝚒 in the CLI is the first step, because now your agents can inspect, abort, trigger, replay CI. Vercel Agent can help optimize it. And this is just the start.

You can expect a lot of hooks and capabilities to make CI something far more intelligent, that can even capture the nuance and judgment an engineer would have (“Are those tests even worth running?”)

Agentic CI is the future of how we ship software. Excited to build it with you all! [360 ❤️ 12 🔄]

Aaron Levie (@levie)

  • Agents are going to consume 1,000X more tokens than we consume today.

Because they’re going to be running in our workflows, processing all of our data, building out nearly all software, securing enterprises, and much more. To do this at scale we will need a variety of approaches at the frontier of AI.

This includes continuing to push the boundaries of closed models, while also increasing the capability of open weights models, making them more secure, as well as making them more efficient for large workloads.

Very exciting to see what @Suhail is building with Particle on this front. [283 ❤️ 17 🔄]

Ryo Lu (@ryolu_)

  • [10 ❤️ 3 🔄]
  • augmenting human intellect

when i started making software, i wasn’t dreaming of a factory.

i loved that something on a screen could become an extension of my mind. a place to put a thought before i understood it. to move things around until new connections appeared. to make little systems that worked the way i worked, even if it made no sense to anyone else.

the computer wasn’t interesting because it could do work without me. it was interesting because of what i could do with it.

the early lineage of computing was built around this possibility. in 1962, Engelbart described augmenting human intellect as helping a person understand complex situations and find solutions that were previously out of reach. his starting point was the human being, not the autonomous machine.

he wasn’t describing a faster black box. he was looking at the whole relationship between a person, their tools, their language, their methods, and what they could learn to do with them. the capability belonged to that whole system.

somewhere along the way, we started telling a much smaller story about a much more powerful technology.

more automation. more agents. more software producing more software. more output from fewer people. more growth. more numbers to prove that something is happening.

and less attention to the person any of this is supposed to be for.

i don’t want to pretend computing had a pure innocent beginning. replacing human labor was one of its ambitions. even in 1960, Licklider distinguished human-computer symbiosis from systems where the remaining people mainly served the machine. he wanted computers to participate in the formation of ideas, not only execute problems already defined.

that distinction feels important – does the system help you discover what you mean? or does it only want you to submit a request, and wait outside while it works?

sometimes waiting is exactly what i want. please do the search. move the files. take away the repetitive work.

but not everything difficult is overhead.

sometimes moving the pieces around is how you understand them. sometimes making the thing changes what you wanted to make. sometimes you need to see the wrong version, touch it, take it apart, and discover a better question.

i want tools that leave room for that relationship.

in his 1981 paper on Smalltalk, Ingalls described a system meant to support everyone’s creative spirit. personal mastery mattered: an individual should be able to comprehend the system, rather than remain dependent on something permanently beyond their reach.

he also argued that computer models should fit the human mind, rather than demand the reverse.

not one perfect workflow for everyone. systems that different people can inhabit differently. someone who thinks through pictures. someone who needs to write. someone who understands a problem by building a simulation. someone whose way of organizing their life doesn’t resemble a SaaS dashboard.

a system you can reshape as your understanding changes.

this is what i want AI to make possible. not just pumping out software, but having a living relationship with it. being able to ask why something works this way. change one part without surrendering the rest. see what happened. undo it. learn enough to make the next change yourself.

the machine can become more capable without making the person smaller.

but that won’t happen just because we make the models better. we have to care about it. design for it. notice when we are making someone more dependent while calling it empowerment.

i don’t want to measure the future only by how much work happens without us.

i want to know what becomes possible for the person who couldn’t participate before.

what can they understand now? what can they express? what can they change without asking permission?

when i say augmenting human intellect, that is what i mean.

not a world that no longer needs us.
a world we have more ability to shape. [79 ❤️ 8 🔄]

Garry Tan (@garrytan)

  • There’s a budget crush and high schoolers can’t take honors classes (they’re phasing out) but guess what new classes they are getting next [466 ❤️ 34 🔄]
  • Particle will be on the frontier for smartest model at lowest dollar per unit of intelligence [208 ❤️ 9 🔄]

Matt Turck (@mattturck)

  • This is why French founders are a special breed - to even start a company, they have to first face this kind of feedback from their families and friends lol 😂 [183 ❤️ 6 🔄]
  • When VCs ask Instinct to help them invest in hot deals [46 ❤️ 2 🔄]
  • Woah they actually made a movie about the GPU shortage [20 ❤️]

Zara Zhang (@zarazhangrui)

  • this is too cute [2134 ❤️ 97 🔄]

Nikunj Kothari (@nikunj)

  • Been sharing this feedback to a lot of seed founders on how to bridge the gap between their dream to what is often required at the A from someone who sits on the other side of the table..

Thanks @dflieb, @adityaag & a few seed founders for reviewing drafts of this! [22 ❤️ 1 🔄]

  • [116 ❤️ 3 🔄]

Peter Steinberger (@steipete)

  • Meanwhile people still work local and in the cli? 👴 [59 ❤️ 5 🔄]
  • OpenClaw’s web UI now works offline and uses a smart websocket compression/reconnect logic.

Been flying to Vienna today and got plenty work done, despite spotty airplane wifi. [704 ❤️ 28 🔄]

  • Kinda funny how easy it is to spot bugs by agents vs humans. Someone at Disney still writes code by HAND? [707 ❤️ 12 🔄]

Aditya Agarwal (@adityaag)

  • This is a LP letter that we recently wrote with our lessons on spotting talent from a decade of investing at the frontier.

The most common thing you hear about early stage investing is that “It is 90% about the founder”.

We agree but have always been unsatisfied by the lack of falsifiability, specificity, and repeatability of that statement.

What are the dimensions of excellence? How do they translate into companies?

It was a pleasure to collaborate with @gopalkraman on this. [155 ❤️ 15 🔄]

Claude (@claudeai)

  • Learn more: [677 ❤️ 38 🔄]
  • New in Claude for Legal: a gallery of ready-made artifacts for contract review, regulatory horizon scans, cite checks, and more.

Start from the built-in example, add your own documents and connectors, and share it with anyone across the business. [24460 ❤️ 1521 🔄]

由 Follow Builders 自动生成 · 2026-10-29