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Pareto now offers zero data retention: we don't keep your prompts or outputs after a request finishes.
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Early look at continually trained, local decision models.
The model that makes the same decision you would is the most aligned.
Just dropped a preview of some of the latest work I'm doing @precursorlabs to distill personal judgment into local models continuously.
Our main finding is that models are overall pretty bad at predicting the decisions you actually make on a day to day basis.
If you had a local "decision model" that was able to actually make the decision you would, given the same context, you could move 1000x faster.
There seems to be consistent learning as a function of data, pointing to something akin to local scaling laws!
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Pareto Inference retweeted
After digging into how inference providers cut corners, I tested GLM 5.2 on FP4 endpoints. They charge less per token and more per answer.
A listed 32% discount became an 11% premium per solved problem. Price parity became a 40% premium.
Have a read!
Introducing Precursor Labs: a research company studying the infrastructure for collective intelligence.
The next generation of autonomous systems will need to coordinate, reason under uncertainty, and allocate resources in dynamic environments. We're working on how. ↓
We're a small team of engineers, financiers, and company builders working across three threads: multi-agent systems, the AI buildout and market structure, and decision-making infrastructure.
We'll be sharing research and essays here and on our Substack (precursorlabs.substack.com/).
Follow along!











