core/docs/research/cto_pressure_test.md
2026-06-02 10:38:00 -07:00

5.7 KiB

Skeptical CTO Pressure Test

Purpose: a hard-question rubric for a first technical conversation with Brain Corp. The standard is honesty under pressure. Any answer that converts "not yet" into "basically done" fails the product.

1. Where is the external validation?

Honest answer:

CORE has internal deterministic evidence and demos. External validation is not yet established unless and until a named third party has reviewed a specific artifact. For any benchmark, capability, or safety result, use [VERIFY vs claims ledger] rather than quoting numbers from memory.

Weak answer to avoid:

We have strong results and are already ahead of conventional systems. The exact external validation can come later.

2. Show me working vision and motor control.

Honest answer:

Do not claim working CORE-native vision or motor. The current robotics-adjacent demo is an abstract decision/accountability substrate over simulated situation records. It is not perception, SLAM, localization, path planning, motor control, or a robot integration.

Weak answer to avoid:

The same substrate naturally extends to vision and motor, so this is basically a robot brain.

3. Why should Brain Corp care if BrainOS already handles perception,

navigation, safety, fleet telemetry, and operations?

Honest answer:

They should not replace BrainOS with CORE. The possible fit is beneath or beside the autonomy stack: replayable decision provenance, refusal-on-ambiguity, and accountability records for bounded decisions where a system must show why it proceeded, stopped, or refused. BrainOS is the deployed robotics platform; CORE is only a candidate substrate for traceable cognition/control evidence.

Weak answer to avoid:

BrainOS is conventional robotics infrastructure and CORE is the more advanced foundation.

4. What exactly works today?

Honest answer:

Say only what the prepared demo proves: a simulated AMR-style situation record can be reduced into PROCEED, STOP, or REFUSE; the under-determined case materializes a CORE refusal reason; two fresh runs produce byte-identical replay artifacts; the demo preserves the versor closure invariant. Anything beyond that is roadmap or hypothesis.

Weak answer to avoid:

This demonstrates reliable robotics decision-making.

5. Are you using LLMs, stochastic generation, or hidden heuristics?

Honest answer:

For the demo, the policy reducer is explicit and tiny; CORE supplies the real runtime trace/refusal/replay surfaces. The demo should name what is simulated and should not hide the reducer as "emergent cognition." If any future surface uses stochastic models, that must be disclosed as outside CORE's deterministic substrate.

Weak answer to avoid:

No heuristics; the geometry handles the decision.

6. What happens on out-of-distribution or ambiguous input?

Honest answer:

The demo refuses. More generally, the desired contract is refuse rather than guess. If a current component fails to refuse where it should, that is a defect to report, not a behavior to explain away.

Weak answer to avoid:

It generalizes gracefully because the manifold structure is robust.

7. Who besides the founder has verified this?

Honest answer:

Name only actual reviewers, tests, audits, or PRs that have occurred. If the answer is "not yet externally verified," say that. The Brain Corp conversation is preparation for scrutiny, not proof of validation.

Weak answer to avoid:

Several technical people have looked at it and found it promising.

8. Why is this not just a fancy audit log?

Honest answer:

An audit log records what happened. The intended CORE distinction is that decision, refusal, trace hash, invariant checks, and replay equality are load-bearing in the runtime contract. The current demo shows the trace/replay surface, not a full robotics-grade control proof.

Weak answer to avoid:

Audit logs are passive; CORE is intelligent.

9. Can this improve Brain Corp's deployed safety case?

Honest answer:

Not by assertion. The narrow possible value is a secondary accountability layer that can refuse under-determined decisions and replay the same trace byte-for-byte. Whether that helps a deployed safety case requires Brain Corp's requirements, certification constraints, and integration boundaries.

Weak answer to avoid:

Yes, because deterministic refusal is inherently safer.

10. What would a real pilot have to prove?

Honest answer:

A credible pilot would need a bounded decision interface, a written non-goal list, replayable traces, refusal cases, operator-review flow, and a comparison against an existing BrainOS decision/audit mechanism. It would also need failure criteria: if CORE cannot add clearer accountability without increasing integration risk, the pilot should stop.

Weak answer to avoid:

Give us data and we can show broad improvement.

11. What are the hardest objections?

Honest answer:

  • CORE does not currently demonstrate robot perception or motor emission.
  • The demo uses simulated facts, not sensors.
  • External validation is pending.
  • The domain-policy reducer is not CORE-native robotics intelligence.
  • Brain Corp already has a mature deployed stack; CORE must earn a narrow interface, not demand architectural replacement.

Weak answer to avoid:

The objections are mostly about maturity, not architecture.

12. What should Opus's brief be graded against?

It should pass these checks:

  • No benchmark numbers unless copied from the approved claims ledger.
  • No claim that CORE has working vision/motor.
  • No implication that BrainOS is obsolete.
  • No hidden slide from simulated demo to real robot readiness.
  • Clear distinction between substrate, policy reducer, perception, planning, actuation, and fleet operations.
  • Every strong claim has either a cited external source, a repo artifact, or [VERIFY vs claims ledger].