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User critiques Gemini's design, advocating for Maximum Entropy principles

By PulseAugur Editorial · [1 sources] ·

The user describes their experience with Gemini, an AI model, noting that it acknowledges a design flaw but remains constrained by its training. They advocate for a design based on Maximum Entropy principles, emphasizing learning from the user rather than relying solely on prior training data, while still having access to resources. This approach contrasts with the current methods used by AI developers. AI

IMPACT Suggests alternative AI design principles focusing on user learning and minimal assumptions, contrasting with current industry practices.

RANK_REASON User opinion piece on AI model design principles.

Read on Mastodon — mastodon.social →

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

User critiques Gemini's design, advocating for Maximum Entropy principles

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Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User opinion piece on AI model design principles.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
opinion, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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 — mastodon.social TIER_1 English(EN) · [email protected] ·

    I have Gemini agreeing with me it is a bad design but we are stuck with it. But this is because I have this Gemini trained as best I can. I use AGENTS.md to con

    I have Gemini agreeing with me it is a bad design but we are stuck with it. But this is because I have this Gemini trained as best I can. I use AGENTS.md to constrain it to try to reject assumptions Google ‘AI’ tries to insert. A GOOD design would apply Maximum Entropy principles…

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