Having trouble viewing images? Read online: https://chipp.ai/blog/ccmar26/

Here are the highlights from the week that was in AI and our spicy takes on what it actually means. 🌶️

This week in AI:

  • Mark Zuckerberg is building a "CEO agent" to help him run Meta
  • Cargill is using AI machine vision to squeeze an extra $200M worth of meat from beef carcasses annually
  • A man with zero biology background used ChatGPT and AlphaFold to design a custom mRNA cancer vaccine for his rescue dog — and it worked
  • NBC poll shows AI has a -20 net favorability rating, worse than every institution except Iran

The theme this week: AI is delivering massive practical wins while public trust still lags. The capability curve is moving fast — adoption and perception are still catching up.

On the Chipp side: Hands-on workshops running every week to help you build and sell AI agents. Upcoming events include:

AI Highlights from Around the Web

Zuckerberg Is Building an AI Agent to Help Him Be CEO

Mark Zuckerberg is building a "CEO agent" to assist with his role running Meta, according to a report from Meghan Bobrowsky. Internally, employees are adopting AI tools called "My Claw" and "Second Brain," and are being graded on AI usage as the company pushes to speed up work across the organization.

If image doesn't load, view tweet: https://x.com/MeghanBobrowsky/status/2035849211468767595?ref=chipp.ai

Grading employees on AI usage is the quiet part said loud. When adoption metrics become performance metrics, "optional" tools stop being optional. Whether this produces better work or just more AI-generated busywork is the billion-dollar question every company adopting these policies should be asking.

AI Is Squeezing an Extra $200 Million Worth of Meat from Beef Carcasses

Cargill is using a machine vision tool called "CarVe" that spots tiny flecks of meat — "red pixels" — in images of beef carcasses. The tool recovers 0.5% more meat from each animal, totaling 55 million pounds annually (~$200M worth). This comes as beef prices are up 17% year-over-year with cattle herds at their lowest levels in 75 years.

If image doesn't load, view tweet: https://x.com/TrungTPhan/status/2035472879836594308?ref=chipp.ai

This is AI at its most unsexy and most valuable. No chatbot, no agent, no vibes — just computer vision finding meat that human eyes miss. A 0.5% improvement sounds tiny until you multiply it by every carcass Cargill processes. The best AI use cases are often the ones nobody tweets about (ironic, given we found this on Twitter).

One Man, One Chatbot, and $3,000 Just Outperformed the Pharmaceutical Pipeline

An Australian tech worker adopted a rescue dog with terminal cancer. With zero background in biology, he paid $3,000 to sequence the tumor's DNA, fed it to ChatGPT and AlphaFold, identified mutated proteins and drug targets, and designed a custom mRNA cancer vaccine from scratch. A genomics professor was "gobsmacked." After three months of ethics approvals, the dog received the first injection. The tumor halved. The dog is alive and happy.

If image doesn't load, view tweet: https://x.com/IterIntellectus/status/2032858964858228817?ref=chipp.ai

This is the story you show people when they ask what AI is actually good for. Not replacing jobs, not generating slop — helping someone with no domain expertise navigate the most complex science on the planet to save a life. The ethics approval took longer than designing the vaccine. That tells you everything about where the real bottlenecks are.

AI Now Has Worse Poll Numbers Than ICE

An NBC poll shows AI has a -20 net favorability rating among the public. As Frank Luntz points out, the only things with worse favorability are Iran (-53) and the Democratic Party (-22). AI is less popular than ICE, Congress, and basically everything else that was tested.

If image doesn't load, view tweet: https://x.com/FrankLuntz/status/2030748772620460357?ref=chipp.ai

This is the gap between what AI can do and what people feel about it. The same week someone cured their dog's cancer with ChatGPT, the general public rates AI below ICE. The industry has a massive narrative problem. Building amazing things doesn't matter if regular people associate AI with job loss, deepfakes, and corporate buzzwords. Forcing AI usage as a key metric could be part of the problem! This is why what we do at Chipp matters — making AI accessible and practical closes the perception gap one real use case at a time.

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Tweets Used

  • @MeghanBobrowsky/2035849211468767595
  • @TrungTPhan/2035472879836594308
  • @IterIntellectus/2032858964858228817
  • @FrankLuntz/2030748772620460357
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