founder @thinkn_ai | founding team @eas_eth | product engineer
eating a taco
Joined June 2023
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bryce retweeted
I used Anthropic's "How we made claude.ai faster" method on a battery-powered ESP32 display. Wake time went from 7s to 0.9s, and battery life should go from about a month to about 10.
I turned it into a Claude Code skill that works on any kind of software: firmware, web, servers, CLIs.
Love the branding and storytelling! Curious what you’re actually building tho? Is it a creative studio? Whats the “experience”?
Applied AI engineers are going to proliferate traditional businesses.
Businesses won’t hire IT managers anymore.
They will hire SI managers.
New short AI film (~2.5mins) on how we help construction companies in South Florida get more capacity with the same team. WDYT?
How its made:
- Opus 5.5 via Claude Code + @Remotion + @ElevenLabs + @higgsfield (Seedance 2.5)
- Ask @claudeai to generate a single html page of the script/scenes you want with wardrobe, environment, key moments.
- Once the HTML is directionally where you want to go, start generating each scene and update the video in the html so you can review.
- Make VFX/SFX edits as you progress through the film.
- Questions? Ask away.
Bonus tip: Use Whispr Flow to narrative the edits you want faster. Allows you to go full Steven Spielberg on Claude Code.
Experimenting with AI short films for prospecting.
Insane what's possible now.
How its made:
@higgsfield_ai + Seedance 2.5.
@ElevenLabs for voice over + music
Custom harness for pre-post production.
All AI driven.
If one’s understanding is represented in a graph that is known, how does it adapt to what is yet to be known?
Perhaps real understanding is not retrieval of known facts/relationships. But how you intelligently adapt to the environment towards what is unknown.
It can make judgments on which action to take, but not what effect that action actually has on the environment.
Great innovation. We will see how a transition function gets solved to make it more reliable.
SOTA is just a fancy way to say current state.
When you look at SOTA as a current state, it gives you permission to think beyond it.
I like the intent behind this, but it feels forced.
The loop is quite simply:
idea -> build -> learn
And applying velocity to loop through this as fast as possible.
Domain harnesses will also be commoditized.
Each company will own and operate the harness specific to their business, not its “domain”.
Applied AI teams will manage and maintain it.
