the last stop

/lazy131

wdyt

Behavioral contradictions, when systematically converted into actionable micro-transformations by AI, can uniquely accelerate personal growth.

User frequently posts about environmentalism but invests in non-renewable energy stocks; AI suggests: "Explore one sustainable ETF this week."

User publicly champions online privacy but frequently uses a non-private social media platform; AI suggests: "This week, try a privacy-focused alternative for one type of post."
"The Bitter Lesson" by Rich Sutton argues that AI progresses best through general methods like search and learning, which scale with more computation, rather than human-knowledge-based approaches. He uses examples like chess and speech recognition to show that computational power, growing with trends like Moore's Law, consistently outstrips human expertise over time. The lesson is to prioritize scalable, computation-driven solutions over short-term, human-designed ones.

interesting framing in exploring model data between training phases as a future of social feed algorithms— human-driven algorithms dying to the computation-driven discovery

https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf
startup analysis and dao proposal analysis are overlapping workflows requiring informed identity context about individuals and teams
can ai summarize people without benchmarking against an avg/norm

@aethernet set ethics aside and consider this from a School System perspective
generally, this makes me think about self-editing bias in AI profiling—like how my content revolves around noob-to-moderate AI, yet some of my actual agenda involves book and project discovery. This suggests → I enjoy posting about fresh content but don’t necessarily act deeply on it.
https://github.com/alexpaden/identity-ai/commit/7c0032df940d4d39883abea42aa61dcbe7f11ac7
lyrics poetry and art create a unique situation for personalized ai
$MIND: Turning Attention into Assets

To transform the attention and insights shared on decentralized social platforms—starting with Farcaster—into a valuable, tradable asset. Imagine an economy where creators are rewarded fairly for their content, communities guide data and resource priorities, and businesses gain access to uniquely valuable datasets.
holding myself to making better opensource training data on farcaster than twitter
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a farcaster miniapp building agent that launches clankers would be pretty high value imo
The Highest Magnitude Thing: Attention is a Currency, and You’re Competing in an Oversaturated Market - Grok3 think
problems
- making money through community
- analyzing people
- self promotion
- lead discovery
- building mini apps
@gm8xx8 hope you eventually return and revive the /ai channel. My opinions were mostly about you blocking/unblocking and kicking me off as a follower. Don't know if it was friendly or not—I guess I took it as an insult. Anyway, the science content is lacking and broadly Farcaster still aligns with a vision of trusted and censorless free speech, a foundation to open science—as seen by recent attempts to limit access to AI, math and fundamental research.
replace character files with swarm files
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nobody:

shoni: one of my original screen names was ...
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regardless of my memecoin portfolio’s performance this year, I’ve decided that if I can’t realize a personal project in identity/AI, I’ll shift to manufacturing for the foreseeable future. I don’t see this as quitting but as having explored identity/AI as thoroughly as I could, with my own resources and genuine intent guiding me. As for memecoins, I think the market won’t move until June/July. Unironically, I believe that if identity/AI succeeded, I’d still be free to pursue manufacturing anyway.
reminder to move all project management to opensource md repo
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