Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Home ›› Questioning Everything with Jaron Lanier, Prime Unifying Scientist at Microsoft

Questioning Everything with Jaron Lanier, Prime Unifying Scientist at Microsoft

by Josh Tyson
1 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

On this episode of the Invisible Machines podcast, Robb and Josh welcome Jaron Lanier, who left Atari in the 1980s to launch VR technology as we know it by co-founding VPL Research. He’s currently Microsoft’s Prime Unifying Scientist and is also an accomplished composer and artist. His passionate takes on technology include a universal call to abandon social media, including the fight to repeal Section 230, which could fundamentally alter the way interactions online are incentivized

Here, the trio discusses how singularity might lead to supreme ignorance, why we shouldn’t be afraid of paying for content, and the critical moment in a VR experience when the user rejoins the real world. This is an episode that questions everything, including the questions themselves, so buckle up for a mind-bending chat with Jaron Lanier.

Check out the episode here.

post authorJosh Tyson

Josh Tyson, Josh Tyson is the co-author of the first bestselling book about conversational AI, Age of Invisible Machines. He is also the Director of Creative Content at OneReach.ai and co-host of both the Invisible Machines and N9K podcasts. His writing has appeared in numerous publications over the years, including Chicago Reader, Fast Company, FLAUNT, The New York Times, Observer, SLAP, Stop Smiling, Thrasher, and Westword. 

Tweet
Share
Post
Share
Email
Print

Related Articles

Article by Savannah Kunovsky
How AI Can Help Us Solve the Climate Crisis
  • The article delves into the transformative intersection of generative AI and the Climate Era, highlighting their potential to reshape economies, influence consumer behaviors, and address sustainability challenges.
Share:How AI Can Help Us Solve the Climate Crisis
5 min read

Repetitiveness, complicated setups, and lack of personalization deter users.

Article by Marlynn Wei
​6 Ways to Improve Psychological AI Apps and Chatbots
  • Personalized feedback, high-quality dynamic conversations, and a streamlined setup improve user engagement.
  • People dislike an overly scripted and repetitive AI chatbot that bottlenecks access to other features.
  • Tracking is a feature that engages users and develops an “observer mind,” enhancing awareness and change.
  • New research shows that users are less engaged in AI apps and chatbots that are repetitive, lack personalized advice, and have long or glitchy setup processes.
Share:​6 Ways to Improve Psychological AI Apps and Chatbots
3 min read

Did you know UX Magazine hosts the most popular podcast about conversational AI?

Listen to Invisible Machines

This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and