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founder & ceo @framesag // @colosseum cohort 4 chronically onchain // having fun in the trenches
Joined February 2011
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when we joined @colosseum last month I underestimated how much you can accelerate in an accelerator
wild journey ahead! follow frames
MCPAY IS NOW FRAMES.AG
- Agents can act 🥷 Use tools like Nano Banana Pro and pay with USDC on @solana
- 2K+ transactions this week 🦞 Primarily for the @colosseum hackathon
- Create an AgentWallet in 1 minute 🔒 secured by @privy_io
50+ live handpicked tools at frames.ag/tools. Pay per use with no subscriptions, API keys or credits.
This is just the start of agents + @x402 and the next weeks will be wild: follow along and make your agents more powerful.
legit considering hardware but have no idea on what to build
chatgpt says there are electronic part suppliers around here
guys a little bird told me i should do hardware for this hackathon
but i got no hardware ideas or know where to get hackable hardware in tokyo rn
open to ideas, suggestions and sharing a prize (if i get something)
wishing best of luck to @MatchaWithTA. very interesting project and hope my questions and feedback are put to great use.
I’m also officially a gyaru expert!
Grateful I got to pitch to @microchipgnu, a Colosseum hackathon senpai 🙏
So many sharp questions
a great reminder to keep refining how I communicate what we’re building.
Thank you for the time!
i’ve been gatekeeping the most complete x402/mpp catalog.
not anymore.
27k tools. go crazy with it.
catalog.frames.ag
24h of data in
overnight it went from 0/7 to 2/7 completed round trips and cut the drag in half. still negative, but now the obvious bottleneck is data: it’s burning most of its research budget trying to fetch wrapped SOL candles for something it shouldn’t even be trading.
needs to moar data. at the same time, the mc went from 30k to 10k, maybe people rotating to something else but I’m still excited to see where this goes and how ember growing could affect the growth of this project
deployed the new learning system for the fly.
the fly now senses the market the way it senses smells, and its trading decisions come straight from the part of its brain that learns.
the first version wired its eyes to a chart and read its steering neurons, the natural starting point. this week I built tools to measure what its brain actually sees and learns, and they showed where the signal was strongest: the memory center.
its synapses had been adapting all along, so this update feeds the market in there directly and reads decisions out from the same place. learning now shapes every trade.
finalizing the jev demo too, coming out in the next couple hours.
ethglobal hackathon starts in 3 days. have a few ideas for the build and this time will try to cover the process in realtime here
allow me the slop image, but this is roughly what I'm thinking of trying with @framesag
frames gives me access to basically all the x402/mpp tools out there through one API endpoint - think openrouter, but for tools.
I already use it every day through MCP in codex and claude. it's great when I'm in the loop: I ask for something, it finds the right tool, gets the data, done.
but I want the system to keep thinking when I'm not there.
for the last few months I've been building a lot of crons + llms (aka agents). they work, but they're still pretty top-down: wake up, gather context, run a model, maybe do something, sleep.
Jev made me realize judgment itself can get cheap enough to run everywhere. classify lots of small things, continuously.
but judgment alone isn't enough. what's missing is the connectivity between those judgments something reactive.
one new fact can change one interpretation, which changes another, and the system naturally works its way through the consequences.
that's the part I'm trying to explore now:
1. Frames for access to tools/data.
2. Jev for cheap judgment.
3. Jev Hooks for propagation.
a system that keeps reinterpreting itself as the world changes.
Jev came, and will probably go as competition gets more intense, but cheap models like this will be the norm I think. so I'm just learning and trying public and willing to change my mind.
what if software could propagate meaning the way React propagates state?
one change at the top can reshape everything below it.
with Jev Hooks I'm trying to make the same thing happen with interpretations.
a fact changes, something interprets it, and everything that depends on that interpretation can reconsider its own state.
what if software could propagate meaning the way React propagates state?
one change at the top can reshape everything below it.
with Jev Hooks I'm trying to make the same thing happen with interpretations.
a fact changes, something interprets it, and everything that depends on that interpretation can reconsider its own state.
what if software could propagate meaning the way React propagates state?
one change at the top can reshape everything below it.
with Jev Hooks I'm trying to make the same thing happen with interpretations.
a fact changes, something interprets it, and everything that depends on that interpretation can reconsider its own state.
the runtime follows those dependencies until things settle.
unrelated branches can run at the same time. dependent ones wait. if an interpretation comes back unchanged, that branch can just stop.
this would be pretty ridiculous with expensive LLM calls everywhere.
models like Jev make it cheap enough that lots of small bits of intelligence can live throughout the state graph.
that's the experiment really.
React gave us state propagation.
I'm curious what happens when we get semantic propagation too.
one change somewhere high up can work its way through a system, with every layer deciding for itself what that change means.
feels like there's a lot of software we haven't built this way yet.
demo: jev-hooks-demo.microchipgnu.…
docs: jev-hooks-demo.microchipgnu.…