
â News from the Woods12 avr. · 18 min
News from the Woods #136 đ„Ÿ
Hey everyone, this is Filip and welcome to another episode of News from the Forest! Episode 136, and itâs a packed one. Weâll talk about how AI is reshaping schools â from typewriters at Cornell to a school with zero teachers in Chicago. How Anthropic just overtook OpenAI in revenue. Weâll discover a brand-new island near Antarctica and find out how the war in Ukraine is devastating nature on a massive scale. And at the end, youâll try doing absolutely nothing for two minutes. Letâs go.
What do you tell your kid when you know the technology youâre building will rewrite the rules for an entire generation? The Wall Street Journal asked exactly this question to the heads of the biggest AI companies â Daniela Amodei from Anthropic, Jaime Teevan from Microsoft, Ethan Mollick from Wharton. And you know whatâs fascinating about their answers? Not a single one said: learn to code.
That Wall Street Journal piece really got to me. Because if I asked you â what should kids study to thrive in a world full of artificial intelligence â most of us would say: STEM, coding, data science. Makes sense, right? Except the people who are actually building AI are saying something completely different.
Daniela Amodei, co-founder of Anthropic â the company behind Claude, the AI model that, full disclosure, also helps me produce this podcast â says, and Iâm paraphrasing: âWhat wonât be replaceable is how you treat other people, how well you communicate with them, how kind you are.â This isnât some motivational platitude. This is coming from someone whose company just surpassed OpenAI in revenue.
Ethan Mollick from Wharton, who wrote the brilliant book Co-Intelligence, advises his teenagers to avoid hyper-specialization entirely. His logic is straightforward: if your job consists of repeating one specific cognitive task, AI will eventually do it faster, cheaper, and without complaining. The future, he says, belongs to people who bundle three or four distinct skills â communication, judgment, creativity, accountability.
And that word â accountability â is key. AI can analyze data, write reports, propose solutions. But it canât be held responsible. A human does that. And the ability to say âI own thisâ is, according to these people, the most valuable currency of the future.
So hereâs the paradox: the people building AI are telling their children â be as human as possible. Learn how to learn, be flexible, communicate, take responsibility. And above all â donât be a narrow specialist, b