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Gemini demonstrates both accuracy and errors in byte calculation

A user tested Gemini's capabilities by providing it with a disassembler output and asking about the byte count for an entry stub trampoline. Gemini correctly identified the byte counts for the copied instructions and the mov/jmp to address, but then incorrectly calculated the total sum. This incident highlights the model's ability to be both highly accurate and surprisingly inaccurate within a short interaction. AI

IMPACT Highlights the current limitations and inconsistencies in large language model reasoning.

RANK_REASON User anecdote about AI model error, not a significant industry event.

Read on Mastodon — fosstodon.org →

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

Gemini demonstrates both accuracy and errors in byte calculation

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0 / 100
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Newsworthiness bucket
Meme
User anecdote about AI model error, not a significant industry event.
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Single-source cluster
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other
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Taking one of these "intro to the cybers" types of courses. For the sake of my own amusement, I gave Gemini a disassembler print out and asked it how many bytes

    Taking one of these "intro to the cybers" types of courses. For the sake of my own amusement, I gave Gemini a disassembler print out and asked it how many bytes were necessary for an entry stub trampoline. It said 15 bytes for the copied instructions (which was correct) and then …