Hungry for the latest? Well, you’re in the right spot — just took the latest AI updates out of the oven. 🔥
🤯 MYSTERY AI LINK 🤯
This link leads to one of the most interesting things I’ve seen in AI recently.
🛠️ NEW AI TOOLS 🛠️
💬 PROMPT OF THE DAY:
Suggest chores for children aged [ages] based on ability, schedule, and household needs. Explain how to teach each task, define done clearly, and avoid using chores as a constant punishment.
What’s cookin’? OpenAI says it is working with Anthropic and Google DeepMind on AI safety, even as the three companies compete to build the most powerful AI systems. The goal is to share ideas on how to prevent the worst risks, including systems that behave unpredictably, create security threats, or become difficult for humans to control. OpenAI says this kind of coordination is normal in safety-heavy industries, comparing it to airlines sharing information to prevent accidents. The move comes as lawmakers debate whether AI companies need clearer federal rules — or even special legal permission — to cooperate on safety without raising antitrust concerns.
🤔 Hunter’s take: Our week’s theme continues. This is a strange but important moment because the companies racing hardest to build frontier AI are also admitting they may not fully understand what they are building. That should get our attention. This cooperation is good, but it also raises the bigger question: should the same companies pushing the gas pedal be trusted to design the brakes? In one sense, I think “Yes, because they understand it best,” but in another sense I say “No, because they benefit most from AI acceleration.”
What’s cookin’? Google says its language technology now powers everyday interactions in more than 300 languages spoken by over 7 billion people — about 86% of the world’s population. The company now supports more than 250 languages in Translate, offers real-time spoken translation across 70 languages and 2,000+ language pairs, and is working toward supporting the world’s 1,000 most-spoken languages. Google has also trained speech models on 12 million hours of audio and built datasets covering underrepresented languages across Africa, India, and beyond.
🤔 Hunter’s take: The scale here is pretty remarkable. In just two decades, machine translation has gone from a useful web tool to infrastructure capable of helping most of humanity communicate. That is one of AI’s clearest wins: making language barriers meaningfully smaller for billions of people.
📈 HOW ARE THE BIG AI PLAYERS DOING?
What do you think of today's newsletter?
👆 I read all feedback. Thank you!

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.
🤖 HAS AI REACHED SINGULARITY? +1.5%
(ANOTHER ALL-TIME HIGH!)
How close are we to the point where AI surpasses human intelligence across nearly every domain and begins advancing beyond our control or prediction?

Unlock your unfair advantage →
Inside the Kitchen members now get the full story behind every rise and fall in the Singularity Meter — along with the exclusive Sunday email that might completely change how you see AI.
👉 Don’t click if you’re okay missing what insiders know


