ChatGPT Can Access iMessage and Meta Glasses Detectors
This podcast episode covers major AI developments including ChatGPT gaining iMessage access, the rise of smart glasses detector apps, AI companies asking governments to regulate automated AI research, Micro1's explosive $500M revenue milestone in data labeling, and how Every publication automated their editor-in-chief role using 30,000 editing examples.
Summary
The episode begins with ChatGPT's new iMessage integration via plugin, now available across OpenAI's tools including ChatGPT Work and Codex. Users can allow the AI to read, draft, search, and send iMessages. The host notes this enables potential abuse cases like automating cold outreach with verified blue bubble texts (mimicking iPhone messages for higher perceived trust). OpenAI warned against enabling persistent approval to preserve user review capability. The plugin runs locally on devices without creating centralized message indexes, though privacy concerns remain given its access to message history.
The discussion shifts to Meta smart glasses backlash, where detector apps like Nearby Glasses, Zuck Off, and Anti-Zuck Smart Glasses Scanner have become popular by scanning Bluetooth to alert users of nearby recording devices. These apps cost $3-10 and have reached 100,000+ downloads. Schools, courts, and venues have banned smart glasses. However, false positives are possible with Bluetooth LE detection.
The host then discusses 1,100 AI employees from OpenAI, Anthropic, Google, and Meta petitioning the US government to regulate automated AI research, fearing it could accelerate beyond human control. The host expresses skepticism about this effort, viewing it as regulatory capture by dominant players protecting their market position. The statement doesn't address verification across jurisdictions or Chinese labs, making it potentially ineffective since China wouldn't be constrained.
Micro1, a data labeling company, hit $500M gross annual run rate in just eight months—a 5x growth from $100M. The host personally works in this space, licensing high-quality audio and video data to AI companies for model training. Data labeling companies generate 80-90% gross margins on shelf datasets sold to multiple customers.
Finally, the publication Every built an AI agent mimicking their editor-in-chief Kate Lee using 30,000 historical edits. This enabled them to double their team from 15 to 30 people while automating copy editing. The host runs a similar process with AI Chat Daily, using AI agents for editing, writing, and reviewing.
About this episode
<p>In this episode, we discuss ChatGPT's new capability to access Apple’s iMessage, exploring its potential uses and the privacy concerns that arise. We also cover the rise of AI-related communities and companies, including the growth of Micro One and innovative developments like Every's AI clone of their editor-in-chief.</p><p><b>Chapters</b></p><p>00:00 ChatGPT and iMessage</p><p>02:01 Privacy Concerns</p><p>05:00 Detection Apps and Meta Glasses</p><p>07:59 AI Research Accelerating Concerns</p><p>09:59 Micro One's Growth</p><p>12:59 Every's AI Clone Innovation</p><p> </p><p><b>Show Links</b></p><em><li>Get the top 80+ AI Models for $8.99 at AI Box: <a href="https://aibox.ai">https://aibox.ai</a></li><li>How I Grow and Scale My Business with AI: <a href="https://www.skool.com/aihustle">https://www.skool.com/aihustle</a></li><li>Get the AI Chat Daily Newsletter: <a href="https://www.aichatdaily.com/newsletter">https://www.aichatdaily.com/newsletter</a></li></em>
Key Insights
- ChatGPT's iMessage access could automate blue bubble text message cold outreach at scale, leveraging the higher trust perception of iPhone messages compared to green SMS texts from traditional services like SendBlue.
- Meta's smart glasses prompted multiple detector apps (Nearby Glasses, Zuck Off) to rapidly reach top charts by scanning Bluetooth signals, indicating significant consumer privacy anxiety about recording devices in public spaces.
- The petition by 1,100 employees from major AI labs for government regulation may represent regulatory capture, allowing dominant companies to establish barriers while countries like China operate unconstrained by such agreements.
- Data labeling companies like Micro1 achieved 5x growth ($100M to $500M in 8 months) by capitalizing on surging demand for training data, with shelf datasets generating 80-90% gross margins when sold to multiple customers.
- Every publication doubled headcount while automating their copy desk by training an AI agent on 30,000 historical edits from their editor-in-chief, demonstrating how AI can augment rather than replace human workers by handling repetitive editing tasks.
Topics
Transcript
ChatGPT is getting access to Apple's iMessage so it can draft, send texts, search through all your messages. There's a lot of people concerned about the security implications, but also a lot of people wondering what you can actually do with this. We're going to get into that on the podcast. Also, a bunch of detector apps are getting very popular as meta AI glasses have this huge privacy backlash. So we'll get into that. And right now there are 1100 labs and AI employees that are asking US governments to help pace automated AI research. They're worried that it's going to get out of control and be hard to actually control what's going on when AI is teaching itself.…
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