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GPT-1900 intuits modern physics from pre-1900 data
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REDDIT · REDDIT// 6d agoOPENSOURCE RELEASE

GPT-1900 intuits modern physics from pre-1900 data

Michael Hla's 3.3B parameter LLM was trained exclusively on text published before 1900 to test "out-of-distribution" reasoning and scientific discovery. The model showed provocative glimpses of intuition, suggesting light consists of discrete energy packets and the local equivalence of gravity and acceleration when prompted with period-contradictory observations.

// ANALYSIS

A fascinating experiment in "scientific time travel" that challenges current assumptions about LLM reasoning versus data memorization.

  • Aggressive decontamination (22B tokens filtered for "future leaks") represents the project's most significant technical hurdle and achievement.
  • While exhibiting "glimpses" of intuition, the model remains a small-scale prototype prone to period-appropriate "bullshitting" using 19th-century prose.
  • The results suggest LLMs can synthesize breakthroughs from contradictory data, though they remain heavily tethered to historical biases.
  • Open-sourcing the dataset and weights provides a unique benchmark for testing "true" reasoning in larger, modern models.
// TAGS
llmreasoningopen-sourcephysicsmachina-mirabilis

DISCOVERED

6d ago

2026-04-05

PUBLISHED

6d ago

2026-04-05

RELEVANCE

8/ 10

AUTHOR

Primary-Track8298