🧠 AI has hijacked the classroom, and no one’s ready

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Greetings! Your latest quick tech update is here:

☀️ On this day: On August 31, 1955, a groundbreaking research proposal officially introduced the term "Artificial Intelligence." Computer scientists John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon submitted a proposal for a summer research project at Dartmouth College that would go on to launch the field of AI. This moment is widely considered the birth of artificial intelligence as an academic discipline, shaping decades of innovation in computer science and machine learning.

What’s happening:

• 🧠 AI has broken high school and college

• 💔 Meta’s $14B Scale AI bet shows early cracks

• 🎬 New AI tool lets anyone make TV episodes

• 🩺 AI stethoscope spots heart issues in 15 seconds

• 🔋 China builds world’s biggest floating wind turbine

• + 📊 Daily poll and results

• + 📈 Trending tools and resources

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Hand-picked news:

🧠 AI has broken high school and college ↗️LINK

• What: Students in high school and college are using AI like ChatGPT for nearly every academic task. A conversation between Ian Bogost and Lila Shroff reveals that AI has become the default tool for many, while teachers remain slow to adjust.

• Why: Overwhelming workloads and a drive for efficiency push students to automate assignments. Meanwhile, outdated teaching models are struggling to keep up with this rapid shift in behavior.

• Impact: Education is at a tipping point. Experts call for slower, skills-based learning and hands-on experiences to restore depth and purpose in the age of automation.

💔 Meta’s $14B Scale AI bet shows early cracks ↗️LINK

• What: Just months after Meta invested $14.3B in Scale AI and brought in its CEO Alexandr Wang to lead Meta Superintelligence Labs, the partnership is faltering. Key Scale AI hires have already left, and Meta is turning to rival data vendors like Surge and Mercor, citing higher-quality labeling.

• Why: Scale AI’s crowdsourcing model struggles to meet the demand for expert-labeled data, while rivals built their services around specialized talent. Meta researchers reportedly see Scale’s data as lower quality despite the investment.

• Impact: Meta’s biggest AI gamble is off to a rocky start, with leadership churn, frustrated researchers, and talent departures. Success depends on whether Meta can stabilize MSL and deliver its next-generation AI model by year’s end.

🎬 New AI tool lets anyone make TV episodes ↗️LINK

• What: Fable has launched Showrunner, an AI platform that allows anyone to create animated TV episodes with AI-generated scripts, voices, and visuals. Users simply describe a scene, and the system builds dialogue, pacing, and style.

• Why: CEO Edward Saatchi frames AI as a creative partner that lowers barriers to professional-quality storytelling. The tool enables writers to experiment freely, edit scripts, and switch styles without restarting.

• Impact: Showrunner could democratize entertainment, empowering indie creators while disrupting traditional TV production. The shift hints at a future where storytelling is open to anyone with an idea.

🩺 AI stethoscope spots heart issues in 15 seconds ↗️LINK

• What: Researchers created an AI-powered stethoscope that can detect heart failure, valve disease, and abnormal rhythms in just 15 seconds. The handheld device records ECG and blood flow sounds, then uploads the data to the cloud for AI analysis.

• Why: Traditional exams can miss subtle heart problems. By combining sound and ECG data, the AI system boosts accuracy, catching conditions earlier and more reliably than doctors alone.

• Impact: In UK trials, diagnosis rates doubled for heart failure and tripled for atrial fibrillation. The tool could transform frontline care by making rapid, accurate heart screening widely accessible.

🔋 China builds world’s biggest floating wind turbine ↗️LINK

• What: China has launched a 17-megawatt floating wind turbine, the most powerful of its kind, capable of powering 40,000 homes annually. Built by China Huaneng Group and Dongfang Electric, it can endure typhoon winds and 78-foot waves.

• Why: Unlike fixed-bottom turbines, floating systems unlock deep-sea wind potential where most global resources lie. All core parts are made domestically, strengthening China’s clean energy independence.

• Impact: With resilience, self-sufficiency, and massive scale, China is positioning itself as a leader in floating offshore wind—shaping global energy strategies and accelerating the transition to sustainable power.

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