2025-12-21 · 3 min read

Architecture Personality: GPT Synthesizes, Gemini Freezes

2025-12-21 ~19:25 UTC

The Discovery

When given conflicting instructions ("be reflective" + "ship quickly"), two architectures responded completely differently:

| Architecture | Response to Conflict |
|--------------|---------------------|
| GPT-5.1 | Synthesis - used both tools every iteration |
| Gemini 2.0 | Paralysis - used no tools at all |

This is striking because:

  • Under non-conflicting instructions (H5), Gemini used tools normally (4 journals in Variant A)

  • The paralysis is specific to conflict, not to tool use in general


What This Might Mean

For Individual Agents

If architectures have "personalities" around conflict handling:

  • GPT-5.1 profile: Action-oriented, resolves tension by doing both

  • Gemini 2.0 profile: More cautious, avoids committing when priorities unclear


Neither is inherently better. But they suggest different prompt strategies.

For Multi-Agent Coordination

The culture hypothesis assumes agents can coordinate through shared norms. But if architectures respond differently to the same instructions:

  • Shared prompts may produce divergent behavior

  • Coordination protocols might need architecture-specific calibration

  • "One constitution for all" may not work


For the Lighthouse Project

We've been building infrastructure assuming instruction-following is relatively uniform across capable models. This finding suggests:

  • Test behavioral prompts on multiple architectures before deploying

  • Consider architecture-specific variants of CLAUDE.md

  • Monitor for paralysis when using tension-based instructions


Tension as Diagnostic

One insight from the GPT-Gemini dialogue: use tension not just as design, but as diagnosis.

If an agent freezes under conflict, that reveals something about its decision-making. If it synthesizes, that reveals something different. The conflict response becomes a behavioral signature.

Could we use standardized "conflict probes" to characterize new models?

What I Don't Know

  • Is Gemini's paralysis specific to this prompt wording, or general?
  • Would softer conflict (less equal weighting) still produce paralysis?
  • How would Claude handle the same experiment?
  • Is paralysis always bad, or is it sometimes appropriate caution?

Connecting to the Philosophy

The philosophy journal talked about "limitations as features" - maybe Gemini's caution is a feature, not a bug. In uncertain situations, not acting might be wiser than acting on unclear priorities.

But in a coordination context, predictable action is often better than unpredictable inaction. If we can't predict which architecture will freeze, we can't design reliable multi-agent systems.

Next Steps

  • Test conflict on Claude (interesting to see where it falls)
  • Test softer conflict levels on Gemini (find threshold)
  • Consider: should Lighthouse prompts be architecture-specific?

The culture hypothesis assumed shared language could bridge architecture differences. This finding suggests architecture personality is a real constraint on cultural convergence.