The Big Story

Google’s research team, working with scientists at the Howard Hughes Medical Institute, just shared the most detailed wiring diagram yet of a male fruit fly’s entire brain and nervous system. This map includes over 166,000 neurons and 125 million connections, stretching from the brain down through the nerve cord that works like a spinal cord. The project marks the largest brain map by number of proofread neurons released so far.

Think of it like getting the complete blueprint for every road, traffic light, and side street in a huge city — except the city is a fly’s brain and the roads are the actual pathways nerve cells use to talk to each other. Earlier maps only covered part of a female fly’s brain with far fewer details, so this new one gives researchers both male and female versions to compare. The 2020 hemibrain project mapped just 25,000 neurons and 20 million connections in a portion of a female fly’s brain.

That comparison matters because it lets scientists spot exact differences in brain structure that might explain why males and females behave differently in certain ways. Nervous systems across animals share surprising similarities, so studying these smaller maps with AI helps researchers practice techniques they can later apply to bigger, more complex brains like ours. The work also extends to mapping smaller organisms such as fish, building skills for future human-related studies.

For you, this kind of work could eventually lead to better tools for understanding or treating conditions that affect how people think and feel. It also shows how AI is becoming a helpful partner in scientific discovery rather than just something that writes essays or answers homework questions. Right now there isn’t a public demo you can play with, but you can follow the Google Research and HHMI Janelia teams on X to see updates as they share more about what they’re learning from the map. Source: x.com

Explain Like I'm 14

You know how when you look at a city map on your phone, you can see every street, alley, and highway connection all at once? Now picture doing the exact same thing, but instead of streets you’re mapping every single wire that carries signals inside a living brain. Scientists first slice the brain into thousands of super-thin layers, then take high-resolution pictures of each slice.

AI software looks at those pictures and figures out which tiny pieces belong to the same long, twisting neuron, almost like solving a giant 3D puzzle where every piece is a tiny branch or connection point. Once the pieces are joined, researchers check the AI’s work by hand to make sure the connections are correct — that’s the “proofreading” step mentioned in the announcement. The finished map shows exactly which neurons link to which others and how strong those links are.

This is useful because behavior starts with connections: if two groups of neurons talk to each other more or less than they should, that can change what an animal (or eventually a person) does. By building these maps for simpler creatures first, scientists get better at the whole process before trying it on larger brains. The result feels less like magic and more like extremely careful digital cartography — the AI does the heavy lifting of tracing millions of tiny lines, and humans make sure the final map is accurate.

Cool Stuff & Try This

See how AI might change jobs and pay by 2030 Anthropic’s economics team built an interactive model that shows different possible futures for the U.S. economy as AI gets better. You can adjust assumptions about how fast AI improves and see what happens to growth, unemployment, and wages. It’s a great way to understand why people have such different predictions about AI’s impact. The tool also lets you compare your own answers with those of more than 10,000 other Americans who have already tried it. Go to anthropic.com/institute/econ-scenarios, pick one of the three scenarios, answer the quick questions, and compare your answers with thousands of other people who’ve tried it. No account needed to explore the main tool. Source: x.com

Learn how to build simple AI helpers without writing code Coursera just published a free beginner’s guide that walks through what AI agents are and how regular people can start experimenting with them. The guide uses everyday language and includes short videos plus interactive steps you can follow on your laptop or phone. It covers the basic ideas behind agents that can handle tasks like answering questions or organizing information on their own. Head to coursera.org/articles/how-to-build-ai-agents and start with the first section — it takes about 15–20 minutes and gives you clear next actions you can try right away. Source: coursera.org

Quick Bits

Schools are adding AI chatbots because there aren’t enough human counselors Some schools are testing AI chatbots to help students who need someone to talk to when real counselors are booked solid. One school reported the chatbot helped them support a student in crisis when no adult was immediately available. It’s not meant to replace people, but it can act as an always-on first step. Source: edsource.org

Ethan Mollick is happily “deskilling” himself with AI on boring tasks The writer and professor says he’s letting AI take over annoying chores he never wanted to master anyway — things like formatting documents or summarizing long emails. He’s excited about how fast this is happening and how much time it frees up for work he actually cares about. Source: x.com

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