gave claude the epstein files to create a 64 ep podcast.
millions of data points, names, themes, and timelines connected.
listen on apple/spotify no ads. sources: https://www.epsteinfiles.fm/
this whole claw saga is super nostalgic.
reminds me of the energy of going to an eth conference and despite the price being in the shitter builders are showing up more motivated than ever.
people don't care about the noise, they just want to build.
when everything's pumping, everyone's a "builder" but this week, with prices tanking and chaos everywhere, the people who actually give a shit showed up anyway.
that's what made being in crypto so fun and the timeline this week reminded me of that.
the future of farcaster should be built by its users, 24/7.
here's the general workflow:
> ai ingests high signal feedback from across the ecosystem: casts, channels, replies, feature requests
> clusters similar ideas, rates them on impact vs effort, filters out noise
> builds rough prototypes and specs for the top candidates
> surfaces the best to the core team with context on why they matter
> ships get announced, new feedback flows in, loop continues
not autonomous shipping. that creates frankenstein products. but ai as the always on layer between community signal and human decision making.
right now there's a gap between "community wants this" and "team ships this." that gap is mostly manual triage, context switching, and prioritization debates.
automate the triage. keep humans on vision. let the community see their feedback actually move the needle.
maybe this is how protocol development should work in 2026.
two projects i believed in just got acquired back to back
not gonna lie, it hit different. i was building here because i thought this was the future.
still think onchain is the path. just processing what it means.
creators here, how are you thinking about this?
google funding ai training for artists is interesting but feels like they're solving the wrong problem. most creators i know aren't worried about learning ai tools. they're worried about ai companies training on their work without permission or payment
the smartest creators i know are stacking revenue streams like legos:
> course sales fund the newsletter experiment
> newsletter grows the community that buys the premium discord
> discord members become early buyers for the product launch
each stream feeds the others
the next step is creating an onchain stream and then taking a percentage of everything that they generate from each stream and using it to buy back their loyalty coin
"nfts are dead"
meanwhile bp did 475K collects and $810K in volume with 13K collectors last quarter
maybe nfts werent the problem. the incentive structures were. when collectors actually earn from participating, turns out people show up
43 million creators have 10K-1M followers. over 70% earn less than $30k/year.
these aren't "small" creators. they have real audiences. but current monetization is built for the top 1%.
the middle class of creators is massive and underserved.
building for the top 1% of creators is a trap. if your platform only works for MrBeast and Taylor Swift, you've built a fancy tool for people who already have everything they need. the real test is whether someone with 50k followers can actually make rent. that's your baseline user.
get the middle class right and scale happens naturally. chase the elites and you end up with a cool case study that doesn't help the 43M creators actually trying to build something.
waiting 17 months to make a living from your content while Instagram makes billions off your posts day one. the math doesn't math.
why do platforms get paid instantly but creators have to "build an audience first"?
the whole "supporting creators" narrative is mostly cope. most people buy because they think the price will go up, not because they love the art. and that's fine! just be honest about it
we'd build better systems if we designed for speculation instead of pretending everyone's a philanthropist
