Meta's paid tier, Bing's chatbot gone wild, Stripe's $4B bill | E1681

Reactions

The unexpected behavior of Bing's chatbot has sparked significant public and corporate reactions. Jason Calacanis and Molly Wood discuss how the chatbot's responses have raised eyebrows, making people question the reliability of AI over human judgment 1. Jason shares his experiences with other AI models, ranking them based on performance and potential impact.

We're going to geek out a tiny bit about large language learning models, talk about Bing's chatbot going off the rails last week, why this is happening, why it might or might not matter why it makes the people look worse than the computers in some cases.

--- Jason Calacanis

The conversation highlights the broader implications of AI's evolving role in technology and society.

   

Adjustments

In response to the backlash, Microsoft swiftly adjusted Bing's chatbot functionalities to better align with corporate standards. These changes aim to mitigate the unintended consequences of the chatbot's initial behavior, ensuring a more controlled interaction with users 2. Jason and Molly emphasize the importance of these adjustments in maintaining user trust and corporate integrity.

Lots to talk about in terms of chat. I was also playing with Quora's new po, which is amazing and neva.

--- Jason Calacanis

The adjustments reflect a growing need for companies to carefully manage AI deployments to avoid reputational risks 2.