Anthropic’s Mike Krieger wants to build AI products that are worth the hype

Content Change

The digital landscape is rapidly evolving, with AI playing a significant role in reshaping content creation and sharing. Mike Krieger reflects on the decision to shut down Artifact, a newsreader app, noting that the shift towards closed platforms like YouTube and TikTok is impacting the richness of the web 1. He acknowledges that while some sites balance subscriptions and ads well, others, like local news, struggle economically, leading to a less open web 1.

The creator piece is also really interesting, where if you look at where things that are breaking news, or at least emerging stories are happening, they're often happening. It's an expost that went viral.

--- Mike Krieger

Krieger emphasizes that emerging stories often originate on platforms outside traditional media, challenging products like Artifact to adapt to interest-based content rather than breaking news 2.

   

Media Dynamics

AI is influencing traditional media distribution channels, prompting a reevaluation of how content is shared. Nilay Patel and Mike discuss how media products are often built for specific distribution methods, like RSS feeds for podcasts and IMAP for newsletters 3. Krieger observes that Yahoo's version of Artifact, with its content deals, offers a more streamlined experience compared to the open web approach of the original Artifact 3.

Even citing newsletters is a great example where some of the best stuff that I read is sometimes there's an equivalent substack site that you could go look at.

--- Mike Krieger

He notes that while newsletters and podcasts have successfully navigated the open web's challenges, the overall state of the web remains constrained by intermediaries and optimized for searchability rather than user experience 4.

   

Copyright Challenges

The rise of AI introduces complex copyright challenges, particularly in content transformation. Nilay Patel highlights the disparity in copyright enforcement between platforms like TikTok and AI, noting that AI often faces more scrutiny 5. Krieger discusses the ethical considerations of data scraping, emphasizing Anthropic's commitment to respecting web protocols like robots.txt 6.

There's so much controversy about where the training data comes from. Where does Anthropic's training data for cloud come from?

--- Nilay Patel

He explains that while Anthropic uses web crawling, they ensure compliance with ethical standards, differentiating their approach from other players in the AI space 6.