The AI Briefing

Tom explores Google's SynthID technology that embeds invisible watermarks in AI-generated images to help detect artificial content. A crucial tool for combating AI slop and maintaining authenticity in our AI-driven world.

Episode Show Notes

Key Topics Covered
Google's SynthID Framework
  • What it is: AI detection technology for identifying AI-generated images
  • How it works: Embeds invisible watermarks into AI-generated images
  • Current implementation: Works with Google's image generation models (like their "banana model")
Practical Applications
  • Detection method: Upload images to Google Gemini to check if they're AI-generated
  • Limitations: Only works with images generated using SynthID-compatible platforms
  • Current scope: Primarily Google's AI image generation tools
Key Insights
  • AI-generated images are becoming increasingly realistic and hard to distinguish from real photographs
  • Watermarking technology is invisible to human users but detectable by AI systems
  • This technology addresses the growing concern about AI slop and misinformation
Looking Forward
  • AI video detection will become increasingly important
  • Need for industry-wide adoption of similar technologies
  • Importance of transparency in AI-generated content
Resources Mentioned
  • Google's SynthID framework
  • Google Gemini (for AI content detection)
  • Reference to yesterday's episode on AI slop
Next Episode Preview
Tomorrow: Discussion about Sam Altman and his "code red" email
Episode Duration: 2 minutes 34 seconds
Chapters
  • 0:00 - Welcome & Introduction to SynthID
  • 0:21 - How Google's SynthID Watermarking Works
  • 1:20 - Practical Tips for Detecting AI Images
  • 1:44 - The Future of AI Content Detection

What is The AI Briefing?

The AI Briefing is your 5-minute daily intelligence report on AI in the workplace. Designed for busy corporate leaders, we distill the latest news, emerging agentic tools, and strategic insights into a quick, actionable briefing. No fluff, no jargon overload—just the AI knowledge you need to lead confidently in an automated world.

Hi folks, welcome to the AI briefing.

My name is Tom, where we go through short snippets on a near daily basis about AI
technology and what's hot, what's not, and some things that you should think about.

And today, after yesterday's discussion about AI slop, we're going to have a quick chat
about Google's Synth ID.

Now, for those of you who do not know what Synth ID is, Google have a framework that
they've released that allows for detection of AI generated images

using other AI platforms, and specifically Google's platform.

The idea, course, being that it's quite hard for users to be able to tell whether or not
an image has been generated organically via a camera or via an AI that these days can

generate supremely realistic looking images.

so SynthID takes a watermark that it then embeds into an AI generated image.

So if you generate an image using Google's

banana model for example, it will embed a watermark into it that tells Google or other
platforms that use the same technology whether or not that image was generated by AI.

You can't see it but it's in every single one of those images.

at the moment

a good starting point to figure out if something is AI generated is take that image,
upload it to Google, ask Gemini if the image was created using AI, because if it's got a

digital watermark in there, it will be able to tell you that it was AI generated or not.

Now, of course, it's not generated with something using simple ID.

Good luck with that.

In the short term, at least Google are putting some thought and effort into figuring out
how to tell

programmatically whether or not an image has been created artificially or via a real
living person and a camera.

So as you start to think about leveraging AI technology and stuff, start thinking about
stuff like this.

How can users tell whether or not something is AI generated?

Talked about AI Slop and AI imagery, AI video will become more and more relevant as time
progresses.

so putting some thought and effort into how to allow users to figure out what's real and
what's not is going to be super important.

This is the AI briefing.

Today was a short one.

We'll be back tomorrow.

some information about Sam Altman and his code red email.

I'll back then, see you tomorrow.