Discover how companies are responsibly integrating AI in production. This invite-only event in SF will explore the intersection of technology and business. Find out how you can attend here.
If you feel a sudden urge to smile when you see this rock, you’re in good company.
As humans, we often irrationally describe human-like behaviors to objects with some, but not all, characteristics (also known as anthropomorphism) — and we’re seeing this occur more and more with AI.
In some instances, anthropomorphism looks like saying ‘please’ and ‘thank you’ when interacting with a chat bot or praising generative AI when the output matches your expectations.
But etiquette aside, the real challenge here is when you see AI ‘reason’ with a simple task (like summarizing this article) then expect it to effectively perform the same on an anthology of complex scientific articles. Or, when you see a model generate an answer about Microsoft’s recent earnings call and expect it to perform market research by providing the model with the same earnings transcripts of 10 other companies.
VB Event
The AI Impact Tour – San Francisco
Join us as we navigate the complexities of responsibly integrating AI in business at the next stop of VB’s AI Impact Tour in San Francisco. Don’t miss out on the chance to gain insights from industry experts, network with like-minded innovators, and explore the future of GenAI with customer experiences and optimize business processes.
Request an invite
These seemingly similar tasks are actually very different for models because, as Cassie Kozyrkov puts it, “AI is as creative as a paintbrush.”
The biggest barrier to productivity with AI is human’s ability to use it as a tool.
Anecdotally, we’ve already heard of clients who rolled-out Microsoft Copilot licenses, then scaled back the number of seats because individuals didn’t feel like it added value.
Chances are that those users had a mismatch of expectations between the problems AI is well-suited to solve and reality. And of course, the polished demos look magical, but AI isn’t magic. I’m very familiar with the disappointment felt after the first time you realize ‘Oh, AI isn’t good for that.’
But instead of throwing up your hands and quitting gen AI, you can work on building the right intuition to more effectively understand AI/ML and avoid the pitfalls of anthropomorphism.
Defining intelligence and reasoning for machine …
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Discover how companies are responsibly integrating AI in production. This invite-only event in SF will explore the intersection of technology and business. Find out how you can attend here.
If you feel a sudden urge to smile when you see this rock, you’re in good company.
As humans, we often irrationally describe human-like behaviors to objects with some, but not all, characteristics (also known as anthropomorphism) — and we’re seeing this occur more and more with AI.
In some instances, anthropomorphism looks like saying ‘please’ and ‘thank you’ when interacting with a chat bot or praising generative AI when the output matches your expectations.
But etiquette aside, the real challenge here is when you see AI ‘reason’ with a simple task (like summarizing this article) then expect it to effectively perform the same on an anthology of complex scientific articles. Or, when you see a model generate an answer about Microsoft’s recent earnings call and expect it to perform market research by providing the model with the same earnings transcripts of 10 other companies.
VB Event
The AI Impact Tour – San Francisco
Join us as we navigate the complexities of responsibly integrating AI in business at the next stop of VB’s AI Impact Tour in San Francisco. Don’t miss out on the chance to gain insights from industry experts, network with like-minded innovators, and explore the future of GenAI with customer experiences and optimize business processes.
Request an invite
These seemingly similar tasks are actually very different for models because, as Cassie Kozyrkov puts it, “AI is as creative as a paintbrush.”
The biggest barrier to productivity with AI is human’s ability to use it as a tool.
Anecdotally, we’ve already heard of clients who rolled-out Microsoft Copilot licenses, then scaled back the number of seats because individuals didn’t feel like it added value.
Chances are that those users had a mismatch of expectations between the problems AI is well-suited to solve and reality. And of course, the polished demos look magical, but AI isn’t magic. I’m very familiar with the disappointment felt after the first time you realize ‘Oh, AI isn’t good for that.’
But instead of throwing up your hands and quitting gen AI, you can work on building the right intuition to more effectively understand AI/ML and avoid the pitfalls of anthropomorphism.
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