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Jev language model shows no memory of past events

A recent analysis of the Jev language model revealed that it does not possess memory of past events, contrary to initial expectations. Despite being trained on vast amounts of text, Jev failed to recall outcomes from prediction markets resolved up to 20 months before its release, performing only slightly better than a coin flip on these historical data points. While Jev showed a marginally higher score on a market related to Donald Trump's inauguration, its performance across other historical markets, including those concerning Federal Reserve actions, remained consistently low, suggesting a lack of true recall. AI

IMPACT This finding suggests that current LLMs may not effectively retain knowledge of past events, impacting their reliability for historical prediction or recall tasks.

RANK_REASON Analysis of an LLM's performance on historical data. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Jev language model shows no memory of past events

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2 / 100
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Tool
Analysis of an LLM's performance on historical data. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Truong Pham | Moon The Train ·

    I expected Jev to remember 2025. It doesn't know Trump was inaugurated

    <p><strong>I expected Jev to have learned the outcomes of old prediction markets. It hasn't.</strong> Asked "Will Donald Trump be inaugurated?" about the January 2025 market, Jev says 0.70. Asked whether the Fed raised rates in January 2025, it says 0.30, the same number it gives…