The AI-collapse pre-mortem
a day ago
- #AI
- #Future of AI
- #Technology Trends
- The author reflects on their 2023 predictions about AI, noting the technology's rapid advancement and the ensuing hype.
- Despite potential AI bubble bursts, LLMs (Large Language Models) demonstrate impressive capabilities, though they remain largely impractical for business and often incorrect.
- AI technologies, beyond LLMs, have achieved significant milestones, including a Nobel Prize for AlphaFold's protein shape prediction and advancements in transcription and translation.
- The debate on AI's intelligence is ongoing, with current models likened to 'chess-playing pigeons'—impressive in their functionality but not necessarily intelligent.
- AI's pattern matching and predictive abilities, such as speech recognition and medical radiology, outperform human capabilities in specific tasks.
- The author emphasizes that an economic collapse in the AI sector wouldn't negate the technology's existing and future potential.
- Encourages maintaining an open mind about AI's capabilities post-collapse, highlighting its non-commercial but valuable applications.