Beyond Tokens: How Byte Latent Transformers (BLT) Are Solving the $10B Language Model Crisis
Tokenization is a hidden tax on every model. How byte-latent transformers attack the $10B cost problem at the architecture level.
One substantial piece a week on the AI Infrastructure & Unit Economics spine — cost attribution, FinOps, AI governance as a hidden cost, and the craft of building lean systems. Published in DevSecOps & AI and TechFlows.
Attribution, unit economics, hidden costs
Threat models, gateways, policy sprawl
Deleting code, leverage, debugging teams
Tech, incentives, and the occasional laugh
Tokenization is a hidden tax on every model. How byte-latent transformers attack the $10B cost problem at the architecture level.
AI governance sprawl is a hidden cost center: every disconnected policy, tool, and review adds spend nobody attributes back to it.
The cost of AI talent is itself a line item most orgs never attribute — and that hidden tax quietly reshapes unit economics.
Why more developer tools are making us less effective — and how tooling sprawl shows up on the invoice.
A threat-model read on AI gateway filtering: who your controls actually stop, and who they merely inconvenience.
The highest-leverage move is often subtraction. Why removing code — and cost — is becoming the skill that compounds.
A debugging metaphor for dysfunctional management — trace the inputs, find the broken function, ship a fix.
The streaming bundle came full circle. A short take on incentives, pricing, and how we got back to cable.
A lighter piece: five ironic truths about our species, courtesy of a frontier model.
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