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AI illusion: gains depend on existing engineering foundations, not just LLMs

By PulseAugur Editorial · [1 sources] ·

Mirek Stanek argues that current AI advancements are largely an illusion, built upon existing foundational engineering work rather than novel AI capabilities. He contends that companies achieving AI gains are those that already possessed robust systems like clean data catalogs, efficient CI/CD pipelines, and structured observability. Stanek emphasizes that without these underlying engineering strengths, AI tools offer no real benefit, likening it to multiplying zero by any factor. AI

IMPACT Suggests that foundational engineering, not AI itself, is the key differentiator for successful AI implementation.

RANK_REASON Opinion piece by a named individual discussing the perceived limitations and underlying dependencies of current AI technology.

Read on Mastodon — fosstodon.org →

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

AI illusion: gains depend on existing engineering foundations, not just LLMs

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Opinion piece by a named individual discussing the perceived limitations and underlying dependencies of current AI technology.
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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.
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opinion, other
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124 days old
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COVERAGE [1]

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

    Mirek Stanek on the AI illusion: AI is a thin orchestration layer sitting on top of years of foundational engineering. Spotify's Honk doesn't write code — Fleet

    Mirek Stanek on the AI illusion: AI is a thin orchestration layer sitting on top of years of foundational engineering. Spotify's Honk doesn't write code — Fleetshift does, and Fleetshift was built years before any LLM hype. The teams seeing AI gains are the ones who already had c…

    LINKS practicalengineering.management/…/the-ai-i…

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