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AI Writes Its First Scientific Study—And Gets Accepted! The Rise of AI Scientists: What Happens to Human Researchers?
🧪🤖 An AI Just Wrote a Peer-Reviewed Scientific Paper. Welcome to the Future of Research.
In this episode, we dive into Sakana AI’s mind-blowing open-source AI scientist—a self-improving, autonomous system that just published its first peer-reviewed paper on neural network generalization. And yes—AI wrote it, from idea to manuscript.
🎯 What you’ll discover:
✅ How this AI generates hypotheses, runs experiments, and even writes papers
✅ The science behind AI-powered generalization in neural networks
✅ Why publishing even negative results marks a turning point
✅ How this signals a new wave of AI-driven scientific discovery
✅ The challenges and limitations tied to LLM capabilities
✅ What it means for researchers, institutions—and humanity’s future pace of innovation
🧠 Whether you’re into AI, research, or just curious about where science is headed, this episode is a must-listen.
🎧 Hit play now to explore the bold, brilliant, and slightly unsettling future of AI-led science.
👉 And share this with someone who still thinks ChatGPT can’t do “real” work.
Become a supporter of this podcast: https://www.spreaker.com/podcast/tech-threads-sci-tech-future-tech-ai--5976276/support.
In this episode, we dive into Sakana AI’s mind-blowing open-source AI scientist—a self-improving, autonomous system that just published its first peer-reviewed paper on neural network generalization. And yes—AI wrote it, from idea to manuscript.
🎯 What you’ll discover:
✅ How this AI generates hypotheses, runs experiments, and even writes papers
✅ The science behind AI-powered generalization in neural networks
✅ Why publishing even negative results marks a turning point
✅ How this signals a new wave of AI-driven scientific discovery
✅ The challenges and limitations tied to LLM capabilities
✅ What it means for researchers, institutions—and humanity’s future pace of innovation
🧠 Whether you’re into AI, research, or just curious about where science is headed, this episode is a must-listen.
🎧 Hit play now to explore the bold, brilliant, and slightly unsettling future of AI-led science.
👉 And share this with someone who still thinks ChatGPT can’t do “real” work.
Become a supporter of this podcast: https://www.spreaker.com/podcast/tech-threads-sci-tech-future-tech-ai--5976276/support.
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By Byte & Pieces🧪🤖 An AI Just Wrote a Peer-Reviewed Scientific Paper. Welcome to the Future of Research.
In this episode, we dive into Sakana AI’s mind-blowing open-source AI scientist—a self-improving, autonomous system that just published its first peer-reviewed paper on neural network generalization. And yes—AI wrote it, from idea to manuscript.
🎯 What you’ll discover:
✅ How this AI generates hypotheses, runs experiments, and even writes papers
✅ The science behind AI-powered generalization in neural networks
✅ Why publishing even negative results marks a turning point
✅ How this signals a new wave of AI-driven scientific discovery
✅ The challenges and limitations tied to LLM capabilities
✅ What it means for researchers, institutions—and humanity’s future pace of innovation
🧠 Whether you’re into AI, research, or just curious about where science is headed, this episode is a must-listen.
🎧 Hit play now to explore the bold, brilliant, and slightly unsettling future of AI-led science.
👉 And share this with someone who still thinks ChatGPT can’t do “real” work.
Become a supporter of this podcast: https://www.spreaker.com/podcast/tech-threads-sci-tech-future-tech-ai--5976276/support.
In this episode, we dive into Sakana AI’s mind-blowing open-source AI scientist—a self-improving, autonomous system that just published its first peer-reviewed paper on neural network generalization. And yes—AI wrote it, from idea to manuscript.
🎯 What you’ll discover:
✅ How this AI generates hypotheses, runs experiments, and even writes papers
✅ The science behind AI-powered generalization in neural networks
✅ Why publishing even negative results marks a turning point
✅ How this signals a new wave of AI-driven scientific discovery
✅ The challenges and limitations tied to LLM capabilities
✅ What it means for researchers, institutions—and humanity’s future pace of innovation
🧠 Whether you’re into AI, research, or just curious about where science is headed, this episode is a must-listen.
🎧 Hit play now to explore the bold, brilliant, and slightly unsettling future of AI-led science.
👉 And share this with someone who still thinks ChatGPT can’t do “real” work.
Become a supporter of this podcast: https://www.spreaker.com/podcast/tech-threads-sci-tech-future-tech-ai--5976276/support.