the machine room doesn't fit in a pocket — open alflora research on a real computer.
what died, what revived, what it taught
A 240M-parameter model, trained on coding Q/A, marched through three architectures: Mixture of Experts, then LLaMA, then GPT. Then the vision attempt hit the compute wall and everything stopped. Not a bug — a budget.
Finding: compute is a budget before it is an architecture. The model didn't fail because the ideas were wrong; it failed because POWAHHHH is not optional, and a teenager's server has opinions about that.
Maxim 1.0's cause of death has a name: not enough POWAHHHH. Training runs need sustained GPU power, and owned hardware has a ceiling. The honest options are: shrink the ambition, buy the power, or borrow it.
Finding: borrowed power is a bridge, owned power is the destination. Know which one you're standing on at all times.
The 2026 revival borrows the compute 1.0 lacked: a full AI chat app — accounts, conversation history, streaming — routed through OpenRouter and currently pointing at Kimi K3, served from our own infrastructure at maxim.alflora.app.
Finding: the brain is rented, the body is owned. Accounts, history, and serving live here; the inference crosses the bridge and comes back.
The active experiment behind the product: which borrowed brain is worth the request. Models and providers get evaluated through OpenRouter and swapped when the answer changes — currently routing Kimi K3.
Finding: evaluation is a process, not a purchase order. Verification over trust — test it yourself, don't believe the changelog.
A 240M-parameter model marched through three architectures before the vision attempt hit the compute wall. Not a bug — a budget. What a dead model teaches about borrowed and owned power.
Maxim 1.0 died on the compute wall. The 2026 revival borrows the brain through OpenRouter — currently Kimi K3 — while accounts, history, and serving stay on our own rack. Borrowed power vs. owned power, in production.