- The Limitations of AI: Generative AI, like ChatGPT, is still in its early stages, plagued by inaccuracies and biases, making it unreliable for critical tasks.
- Energy Concerns: The energy consumption of AI tools is substantial, with a single ChatGPT interaction consuming as much electricity as a 60W light bulb running for three minutes.
- Economic Reality: The current AI race is heavily subsidized, with significant costs hidden by loss leader pricing, akin to the early days of Uber.
Impact
- Overhyped Expectations: The exaggerated claims about AI’s capabilities are leading to unrealistic expectations and a potential bubble in AI investment.
- Energy Crisis Acceleration: The massive energy demands of AI could exacerbate the climate crisis, raising ethical concerns about its widespread use.
- Inherent Limitations: Hallucinations and non-deterministic outputs highlight the unsolvable challenges of generative AI, questioning its reliability.
- Economic Viability: The current subsidization of AI services raises concerns about the future cost and accessibility of these tools as companies seek profitability.
- Practical Utility: While generative AI offers productivity boosts in certain tasks, it remains far from the revolutionary tool some predict, emphasizing the need for realistic expectations.
Eksentricity 
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