PulseAugur
EN
LIVE 23:32:46

AI excels at math proofs but fails basic arithmetic and secure coding

Artificial intelligence demonstrates a paradoxical capability, excelling at complex mathematical proofs for long-standing conjectures while struggling with basic arithmetic and code security. This suggests AI's current strengths lie in abstract reasoning and pattern recognition rather than precise calculation or robust software engineering at scale. AI

IMPACT Highlights the current limitations of AI in practical applications like basic math and secure coding, despite advanced reasoning abilities.

RANK_REASON The item is a commentary on the current capabilities and limitations of AI, not a specific event or release.

Read on Mastodon — mastodon.social →

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

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    AI: good at devising proofs/refutations for longstanding conjectures in mathematics (like Erdos problems also AI: bad at doing basic math (like adding numbers t

    AI: good at devising proofs/refutations for longstanding conjectures in mathematics (like Erdos problems also AI: bad at doing basic math (like adding numbers together, or counting the quantity of occurences of a letter in a word) AI: good at finding security vulnerabilities in l…