The cheapest models and the token-counter trap
More tokens for the same text, pricing changes and hard-to-interpret allowances: what lies behind Haiku 5.5 and GPT-6 Luna’s headline rates.
By Arshan H. Zadeh6 min read
AI.
Research on AI.
AI moves billions. Who is paying the bill?
AI markets, investment and supplier money flows, and Anthropic’s possible IPO: what revenue, costs and valuations tell us about bubble risk.
By Arshan H. Zadeh7 min read
Cheap decisions, expensive assumptions: Jev, Laya and Claude routing
Jev and Laya can cut the cost of bounded decisions. Choosing a Claude model for a coding task still requires relevant, current project context.
By Arshan H. Zadeh5 min read
When programmers become AI operators: the cost of routine approval
From 1970s machines to AI coding agents: how approval becomes routine, why failures demand reconstruction, and how meaningful human oversight helps.
By Arshan H. Zadeh5 min read
Is electricity slowing AI? SMRs, geothermal and the cost of models
AI electricity demand, Google’s SMR and geothermal deals, model training costs and energy stocks: a sourced investigation with charts and clear limits.
By Arshan H. Zadeh5 min read
How AI changes jobs: tasks, nurses and worker transitions
An explanation of Anthropic’s task-based economic scenarios, using nursing to show augmentation, automation, new tasks and movement between jobs.
By Arshan H. Zadeh4 min read
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