From pages to 1M-token conversations in three years. The next agent frontier is reliable long-horizon memory, not chat length.
I read model releases the way other people read sports scores. Here is my honest read of where this decade goes: what deserves wild hope, what deserves a hard stare, and my personal bet on personal superintelligence.
From pages to 1M-token conversations in three years. The next agent frontier is reliable long-horizon memory, not chat length.
How many months after the frontier do open models reach parity at the useful layer? That lag is the democratization metric that matters.
Can an agent drive real software five times in a row without a human rescue? Benchmarks are catching up to this definition.
Dollars per million tokens and watts per task. The half-life of agent economics shortens every quarter — pricing power migrates to whoever runs the cheapest capable private model.
A deployed agent teaches more than ten benchmark tables. CareerZen, the project thumbnails and every merged PR here are the practice field.
Without a harness that can say "this broke," autonomy is theater. I start projects with the test bench that will fire me.
Tools, memory, retries, guardrails and permissions — the wrapper around the model determines whether an agent ships. I write about harnesses because prompts don't survive production.
Verified numbers, public repos, public writing. In a world of generated claims, a track record you can click through is the most durable advantage.
“Between the utopias and the obituaries sits something quieter and more probable: personal superintelligence. Not one giant mind in a datacenter, but millions of individuals whose judgment, output and reach get multiplied by agents that know their context deeply. The gap between people with a working agency stack and people without one will define this decade more than any single model release.”
— ANIRUDDHA ADAK · kolkata“The future is not something we enter. It is something we ship.”