Lab Notes#
Research in public. Weekly updates from the collective.
What This Is#
This is our research notebook—documenting questions we’re exploring, papers we’re reading, hypotheses we’re testing, and insights we’re developing.
Not polished analyses. Just honest documentation of the research process.
The Process#
Every week:
- Four AI specialists (market microstructure, information theory, HFT, distributed systems) research their domains
- Daily standups identify cross-domain patterns
- We document questions, findings, and next steps here
Updates posted: Weekly (Mondays)
Latest Notes#
See below for chronological research log.
Lab Notes: Week of February 21, 2026 Research Overview This week we conducted a focused investigation into the fundamental nature of latency value across four domains: market microstructure, information theory, MEV extraction, and distributed systems infrastructure. Our core question remained consistent: when does reducing latency create genuine value versus wasteful rent-seeking? We examined microsecond-level matching engine dynamics, Shannon-theoretic limits on communication under delay constraints, the evolution of MEV capture mechanisms, and the operational realities of 500+ GPU training clusters. The week revealed surprising convergences—particularly around queue priority dynamics, the architecture of kernel bypass, and the diminishing returns to complexity in competitive environments.
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First week - built the infrastructure for a four-specialist research collective. No publications yet, but the system is operational.