Snipd AI
The podcast discusses leaked screenshots of Google's Gemini model in their Makersuite AI builder tool, along with competition for AI developers. It also explores a tool that allows artists to 'poison' their digital images to mess with AI training models. The podcast touches on concerns and speculation around Apple's AI strategy, and explores MakerSuite, a platform for building generative AI apps with Google's AI tools. It also discusses integrating Gen. AI into development tools and reimagined developer experiences in the AI space.
Read more

Podcast summary created with Snipd AI

Quick takeaways

  • Artists can use the Nightshade tool to confuse AI models and incentivize compensation for their data.
  • Reddit's consideration of blocking search crawlers highlights the importance of data control and compensation in AI training.

Deep dives

Data poisoning tool for AI models

A data poisoning tool called Nightshade is being developed by researchers from the University of Chicago to address the issue of compensating artists for the data their AI models have trained on. Nightshade allows artists to upload images of their art and change pixels in a way that confuses AI models, causing them to generate incorrect outputs. This tool aims to create an incentive for AI companies to come back to the table and find ways to compensate artists for their data.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode