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One emerging challenge with AI is that we are not seeing strong adoption outside of Chat applications. While every company has pivoted to trying to leverage Gen
by lumost 3y ago
One emerging challenge with AI is that we are not seeing strong adoption outside of Chat applications. While every company has pivoted to trying to leverage GenAI - applications outside of OpenAI have ... mixed adoption.
This is not dissimilar to mobile in 2008, or cloud circa 2006. It's ok that new applications take time to emerge, but the valuation of firms implies that these technologies have already emerged. Perhaps this is fine for core AI development, but placing these valuations on SaaS firms could be problematic in the future.
- floren 3y agoDriving 101 through the peninsula, it's shocking how many billboards are advertising AI <something>. I think the article correctly diagnoses it as a desperate attempt to tap VC money that's getting scarcer and scarcer.
- linkjuice4all 3y agoWhen Siri and Alexa first came out there was another chatbot gold rush but it obviously didn’t work out for a number of reasons. LLMs and other recent (in the last year) advances have certainly improved the understanding and response for chat agents so the conversation aspect has gotten better (fewer dead ends or “I don’t understand”) - but these newer agents still can’t really “do” anything e.g. give a refund. There’s still the dead end when you need an actual human to do something or approve the chatbot’s recommended action.
- lumost 3y agoAye - this would form the counter-point to the revolutionary thesis. ChatGPT might be the LLM product, and everything else is small potatoes. This would still leave a 30-100 billion dollar in revenue industry - but that’s about the size where the current combined Nvidia/MSFT/Openai valuation has no room to grow.