Is this the moment when the Generative AI bubble deflates?
4 days ago
- #LLMs
- #Hype Cycle
- #Generative AI
- The author has been warning about the overhype of LLMs (Large Language Models) for years, citing weak technical foundations and questionable economics.
- Recent events, like the underwhelming release of GPT-5, have made more people question the hype around generative AI.
- Even non-tech influencers and Sam Altman himself are acknowledging the limitations and challenges of AI.
- Despite setbacks, Altman continues to seek more funding, seeing failures as opportunities for financial requests.
- The author predicts that once the market fully grasps the limitations, enthusiasm for AI may collapse quickly.
- Two major obstacles to this collapse are the reputations of AI gurus and the massive investments already made in LLMs and LRMs.
- AI, including LLMs, is not useless; it provides real value in various use cases, such as text phrasing and programming assistance.
- The current capabilities of AI make it easy to hype superintelligence, but it's harder to accept that this path may not lead there.