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Author claims LLM bubble is near tipping point due to costs

The author suggests the large language model (LLM) bubble is nearing its peak, citing a decrease in discussions about AGI and a shift towards coding as the primary AI success. They note that usage-based pricing for AI coding tools is significantly increasing costs, and companies like Uber are questioning the return on investment. The upcoming IPOs of AI-focused companies are expected to reveal the true, likely unprofitable, economics of the sector. AI

IMPACT Suggests potential for reduced enterprise AI adoption if costs continue to rise without clear ROI.

RANK_REASON The item is an opinion piece discussing the economic viability of LLMs and AI companies.

Read on Mastodon — fosstodon.org →

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COVERAGE [1]

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

    It seems to me that the tipping point is near on the LLM bubble. Key points: 1. Talk of AGI and super intelligence has mostly dried up. 2. Talk has shifted near

    It seems to me that the tipping point is near on the LLM bubble. Key points: 1. Talk of AGI and super intelligence has mostly dried up. 2. Talk has shifted nearly entirely to 'coding' as the big success story, rather than the broader knowledge work. 3. The coding tools are all sh…