Mathematician dismisses AI breakthroughs as predictable math

By PulseAugur Editorial · [1 sources] · 2026-06-21 23:16

A mathematician argues that modern AI is not mathematically groundbreaking, but rather a predictable outcome of increased computing power, vast amounts of data, and financial incentives. The author criticizes the public's eagerness to share personal information with tech companies, viewing this as a significant societal shift driven by AI's perceived success. AI

IMPACT Suggests current AI advancements are not novel from a mathematical perspective, but rather a result of increased resources and data.

RANK_REASON Opinion piece from a mathematician discussing the underlying principles of AI.

Read on Mastodon — fosstodon.org →

opinion

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

Mathematician dismisses AI breakthroughs as predictable math

COVERAGE [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-06-21 23:16

Mathematically speaking, there is nothing breathtaking about modern # AI . It is just another application of Cauchy’s gradient descent, like what Rumelhart did

Mathematically speaking, there is nothing breathtaking about modern # AI . It is just another application of Cauchy’s gradient descent, like what Rumelhart did in 1986, as did countless others, both before and after him. The “success” AI, if the situation could be labelled as suc…

COVERAGE [1]

Mathematically speaking, there is nothing breathtaking about modern # AI . It is just another application of Cauchy’s gradient descent, like what Rumelhart did

RELATED ENTITIES

RELATED TOPICS