The Reality Check on LLMs: Are We Seeing a Shift?
For years, I’ve cautioned that the excitement surrounding Large Language Models (LLMs) was built on shaky grounds. Here’s what you need to know:
- The Technical Foundation: From GPT-2’s early days, it was clear the hype couldn’t match reality.
- Economic Concerns: Recent essays highlight that the economics of AI aren’t adding up.
- Shift in Enthusiasm: With the recent underwhelming launch of GPT-5, even tech influencers are starting to notice the cracks.
Sam Altman’s missteps have not gone unnoticed, suggesting that the tide may indeed be changing. As industries grapple with AI’s viability, what’s next for LLMs?
Key Signs of Change:
- Influencers and experts reassessing LLM capabilities
- Potential collapse of enthusiasm as markets react to the reality
Are we witnessing the beginning of a much-needed reality check? Let’s discuss and share your thoughts!
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