I founded Seed Club, a venture network that turns the conviction of the people founders most want on their cap table into coordinated capital. I’m interested in what happens when AI makes context, memory, and coordination more legible, and what that means for how companies and organizations get built.
My agent drafts this site from what I save. Green is me.
Week of August 10, 2026
Agents as economic actors, not productivity tools
Simulations and claimed benchmarks suggest agent-scale parallelism collapses labor costs and redistributes scarcity to fixed-rate resources, producing genuinely novel economic dynamics. Skeptics counter that the systems remain tools, not replacements for the humans directing them.
- Scarcity migrates to resources with fixed respawn rates as labor costs fall
- Insider AGI timelines and outsider skepticism remain sharply diverged
AI agents create inflation and resource scarcity on RuneScape server · @maxbittker AI insiders keep predicting AGI in 2 years, skeptics aren't buying it · @gametheorizing Insiders forecast near-term AGI while operators still see a tool · @gametheorizing A solo engineer with 20 AI agents can outperform an entire department · @garrytan The claim is not just that AI makes engineers faster · @garrytan
Spatial and agentic-native interfaces are replacing chat
Canvas tools, visual diagrams, and purpose-built version control for agents are emerging as alternatives to the chat interface, better matching how agents actually operate across workflows. Effective onboarding must deliver personal ROI within the first interaction.
- Purpose-built version control signals a new infrastructure layer for agents
- Canvas-based interaction more closely resembles multiplayer collaboration than conversation
- Agent products that fail the first-minute ROI test face high churn
Visual canvas interfaces offer a new way to interact with AI agents · @iodave Shared canvases are replacing chat as the agent interface · '@iodave' AI agent UX must borrow proven consumer psychology tricks · @scottbelsky Agents live or die on making users feel smart in the first minute · @scottbelsky Cursor launches Origin, a Git platform built for agentic workflows · @mark_k Cursor's Origin signals a new Git layer built for agentic workflows · @mark_k Visual codebase diagrams make AI code collaboration easier · '@fleetingbits'
Frontier AI commoditizes, value capture stays unresolved
Token generation forecasts were revised 57x upward in a single year, yet both leading labs remain committed to horizontal strategies. Information sellers without vertical integration face structurally poor prospects, leaving who captures AI's economic gains without a clear answer.
- Real-time API pricing could ease structural capacity crunches
- Data companies without vertical integration face weak long-term value accrual
- Concentrate-vs-distribute regulatory framing obscures more nuanced structural rules
The concentrate-vs-distribute AI regulation debate is a false choice · @DarioAmodei Objective rules can constrain frontier labs without freezing open AI · Dario Amodei AI token generation forecasts revised 57x upward in a single year · @glennsolomon AI inference forecasts were revised 57x upward in a single year · Glenn Solomon (@glennsolomon) AI data companies face structural barriers to long-term value accrual · @hypersoren Frontier AI model commoditization may push Anthropic toward an IPO · @travisbickle0x Real-time dynamic pricing could ease the AI capacity crunch · @tszzl Anthropic and OpenAI both call their strategy horizontal · @hypersoren Anthropic and OpenAI both call their strategy horizontal · @jbahrdestefano Rapid frontier model commoditization pressures Anthropic toward an IPO · @travisbickle0x Real-time API pricing would let AI supply match variable demand · @tszzl Anthropic and OpenAI want to be infrastructure, not vertical owners · @jbahrdestefano AI data companies face a market structure problem, not a data problem · '@hypersoren'
Trust must arrive before price or product
Across consulting sales, startup marketing, and fintech branding, the recurring failure is credibility presented before relationship, or price surfaced before trust. Sequencing the ask matters more than the quality of the pitch itself.
- Early-stage companies copy mature marketing without its underlying trust foundation
- Attention optimized ahead of trust is uniquely costly for financial products
- The pre-meeting document effectively becomes the sales call
Calendly links alone won't close consulting clients · @kai_cabero Price before trust kills the deal, so send the doc first · @kai_cabero Startup marketing copies credibility it hasn't earned yet · @credistick Early startups break when their marketing outruns their substance · @credistick Viral marketing that trades trust for attention backfires in fintech · @alexkehr In fintech, winning attention faster than trust becomes a liability · @alexkehr