Talkie (the 1930 cutoff LLM) was trained on data that covers human experience much more sparsely than current LLMs. Does that make it easier to test that it generalizes?
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{holtzman-is-it-easier-2026,
author = {Holtzman, Ari},
title = {Is it easier to test if Talkie generalizes?},
year = {2026},
url = {https://hypogenic.ai/ideahub/idea/uC8kgtPUNgwnXKQSNGSN}
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