In partnership with
Want insider takes about AI ethics and finance?
Upgrade to Inside the Kitchen →
Good morning. The global AI race is heating up, just like our kitchen! 🔥
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 🛠️
Image: Moonshot AI
What’s cookin’? Chinese startup Moonshot AI released Kimi K3, a new open source AI model that appears surprisingly close to the best private models from companies like OpenAI and Anthropic. Moonshot says Kimi still trails the very top systems, but independent tests suggest it can compete with leading frontier models. Because Kimi is open source, developers can inspect, download, and build on it more freely than closed models.
🤔 Hunter’s take: This is a pretty revealing moment. China’s AI models are getting good enough to scare U.S. tech giants. But the bottleneck is no longer just talent or model design. It is raw infrastructure. The AI race may come down to who can actually serve these models at scale.
What’s cookin’? Scientists say AI could soon do more than identify chemicals in the environment and human body. A new paper argues that the next step is using AI to predict which chemicals may actually disrupt biology and contribute to disease. This approach, called functional chemical exposomics, combines advanced chemical detection, toxicology databases, biological response data, and machine learning. Instead of simply listing thousands of chemical signals found in blood, urine, tissue, or the environment, AI could help assign chemicals a risk score based on how they may affect genes, proteins, cells, or metabolism.
“The future of exposomics is not only about discovering what chemicals are present, but also predicting what those chemicals may do inside biological systems. AI can help researchers focus limited experimental resources on the exposures most relevant to human health."
🤔 Hunter’s take: Modern science can now detect tons of chemicals, but detection alone does not tell us what to worry about. The real value is prioritization. If AI can help researchers separate background noise from genuine health threats, public health could become more preventive instead of reactive.
💬 PROMPT OF THE DAY:
Create a networking approach for me that feels genuine. I dislike forced self-promotion. Give me principles, message templates, conversation starters, and a weekly routine that builds relationships through curiosity and usefulness.
…
👉 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.