scenarios

Our vision is to transform scientific discovery from sporadic breakthroughs into a continuous, predictable process. Instead of waiting years between major advances, we envision AI systems that can sustain the kind of relentless momentum that drives paradigm shifts — not through individual moments of genius, but through systematic exploration.

Locus maintains consistent performance improvement up to several days by orchestrating thousands of experiments simultaneously. This massive parallelization enables a new type of scientific process, one that facilitates structured long-horizon exploration of unsolved problems

By driving the price of experimentation toward zero, AI makes failure cheap, fast, and informative. This decouples discovery from institutional risk aversion. We can shift the architecture from a linear, hypothesis-driven model (reliant on human intuition about where to look, while punishing boldness in those bets) to a parallel, machine-speed,... See more

The critical impact of autonomous research agents is not merely their endurance – Locus at 64-hour-cycles or Kosmos exploring a six-month search space in 12 hours. It is the collapse in the cost and time required to run experimental loops.

This is the skill of sensing weak signals 3 - an idea introduced by Harry Igor Ansoff in the 1970s, long before anyone talked about disruption or exponential curves.

Pic. Ansoff, 1918-2002 (source)

His insight was simple:

The future always shows up quietly before it shows up loudly.

Every major shift begins as noise:

• a strange user behavior,


• a tiny

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