Want insider takes about AI ethics and finance?
Upgrade to Inside the Kitchen →
Welcome back! From big tech to farms, we are looking at it all today. 😁
⭐️ Today’s Feature
Blu Dot surpasses 2,000% ROAS with self-serve CTV ads
Blu Dot used Roku Ads Manager to drive incredible results for its furniture sales event. Its strategy hinged on custom audiences and retargeting, where intent was strongest.
“Roku has been a top performer,” said Blu Dot’s Claire Folkestad. “We have seen…CPMs lower than any other CTV partner we've worked with.”
👆 (FryAI earns when you visit featured links. This helps keep the newsletter free.)
Want to Sponsor FryAI?
🤯 MYSTERY AI LINK 🤯
This link leads to one of the most interesting things I’ve seen in AI recently.
🛠️ NEW AI TOOLS 🛠️
What’s cookin’? Meta is donating 130,000 Ray-Ban Meta AI glasses to veterans through nonprofits across the country, with the first pairs handed out to blind veterans in Tampa. The glasses look like normal sunglasses, but they have built-in cameras, speakers, and Meta AI. When a veteran asks a question, the glasses can describe what is in front of them, read signs, or answer follow-up questions, like which direction an arrow is pointing. The key is that they are hands-free, so users do not have to hold up a phone, scan a room, or draw attention to themselves just to understand their surroundings.
🤔 Hunter’s take: The real story here is not “AI glasses are cool.” It is that good AI can quietly remove friction from ordinary life. Reading a sign, moving through an airport, or checking what is nearby may sound small, but those small moments add up to independence.
See what enterprise-ready AI support looks like
How are leading teams getting AI support to work? We're breaking down the playbook, live July 9.
What’s cookin’? A Pennsylvania Angus farm is using AI to help decide which cattle should be bred together. Here’s how it works: the breeder asks a question, like which bull would be the best match for a certain cow. The AI figures out what information is needed, then sends the question to separate computer tools that calculate the actual numbers. Those tools check things like family history, inbreeding risk, likely calf traits, and available semen options. Once the math is done, the AI explains the results in plain English so the breeder can compare the choices more easily. In other words, the AI acts like a translator and organizer, while the trusted tools handle the calculations.
🤔 Hunter’s take: This is useful because cattle breeding involves a lot more than just picking a strong-looking animal. Farmers are trying to predict what the next generation will look like before the calves are even born. AI can help make that mountain of information easier to understand.
💬 PROMPT OF THE DAY:
Interview me to identify the most important skill gap for my career goals. Ask about my current role, target role, feedback, strengths, and weaknesses. Then recommend the single highest-ROI skill to improve next and explain why.
…
👉 You may have realized by now that AI is only as good as your prompt.
That’s why we offer professional AI Prompt Packs: ready-to-use prompts that help you stop staring at the blinking cursor and start getting real value from your favorite chatbot.
📈 HOW ARE THE BIG AI PLAYERS DOING?
🤖 HAS AI REACHED SINGULARITY?
What do you think of today's newsletter?
👆 I read all feedback. Thank you!
✍️ Meet the Author:

Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.






