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OpenAI agents use 130B tokens to solve Navier-Stokes problem, sparking labor debate

OpenAI has utilized AI agents to tackle the complex Navier-Stokes problem, a significant challenge in fluid dynamics. In the process, these agents exchanged 2.7 million messages and consumed approximately 130 billion output tokens. This extensive computational effort has sparked discussion about the nature of labor and exploitation within the context of AI development, particularly from an anticapitalist perspective. AI

IMPACT Demonstrates AI's capability in solving complex scientific problems, raising questions about computational labor and its economic implications.

RANK_REASON The cluster discusses a research milestone achieved by AI agents in solving a complex scientific problem. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

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

OpenAI agents use 130B tokens to solve Navier-Stokes problem, sparking labor debate

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2 / 100
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The cluster discusses a research milestone achieved by AI agents in solving a complex scientific problem. [lever_c_demoted from research: ic=1 ai=1.0]
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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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model release, other
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High
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COVERAGE [1]

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

    https://openai.com/index/navier-stokes-solution/ In the process of resolving the Navier–Stokes problem, the agents sent 2.7 million messages and used approximat

    https://openai.com/index/navier-stokes-solution/ In the process of resolving the Navier–Stokes problem, the agents sent 2.7 million messages and used approximately 130 billion output tokens. 130 billion tokens. that's labor. that's exploited labor for the sake of corporate benefi…