Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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"The biggest breakthroughs often start as ideas that make no sense to most people."
This is a powerful perspective AI lowering cognitive friction so researchers like Terence Tao can explore bolder, more unconventional paths. The idea of preserving the paths behind discovery is just as important as the results themselves for advancing scientific discovery and mathematical innovation. How do we ensure that AI accelerates creativity without unintentionally narrowing the diversity of research directions explored? #Cybernorse
The real promise of AI is not replacing human thinking, but expanding what humans are capable of discovering. By reducing cognitive friction, researchers—and increasingly professionals across all industries—can spend more time exploring ideas, solving complex problems, and creating value. Exciting perspective.
Perhaps one of the most exciting aspects of AI is not that it provides answers, but that it lowers the cost of exploration. Throughout history, many valuable ideas remained unexplored because people lacked the time, resources or specialized support to pursue them. If AI can reduce that friction, it may allow more individuals to experiment, create and contribute in ways that were previously out of reach. The future may not belong to those who have all the answers, but to those who are able to ask better questions.
It’s deeply always insightful to hear Terence Tao.
Really interesting perspective, reducing the friction of research could open the door to ideas that might never have been explored otherwise. Fascinating conversation between Terence Tao and Mark Chen.
AI doesn't take away your job; it takes away the "things that aren't worth doing" from your job and then scales up the "things that only you can do" to an unprecedented scale.
Excited to learn and experience what possibilities Ai opens up for researchers and innovators.
Hmm... but AI cannot see past past, a portion of history. Corroboration? Correlation? Complex analyses that aid? All yes. But that it gives "researchers more freedom to pursue ideas that once felt too unexpected, too ambitious, or too time-consuming to explore", were they complaining?
Asfandyar Fakher, agreed. Check out short video about AI (Github Copilot) + Bentley STAAD.Pro application for finite element analysis applications:
Amanda Wu, agreed. Check out short video about AI (Github Copilot) + Bentley STAAD.Pro application for finite element analysis applications:
Mauricio J. Shibazaki Yllana, agreed. Check out short video about AI (Github Copilot) + Bentley STAAD.Pro application for finite element analysis applications:
The value of AI isn't just finding answers faster, it's giving researchers the freedom to ask bigger questions.
AI is accelerating the creation of knowledge. The question for companies will not be how much knowledge they can generate, but how quickly they can turn it into consistent, traceable, and executable decisions. Because value does not come from discovering more possibilities. It comes from executing the right ones better.
The phrase that stands out here is reducing the cognitive friction of research. That is the real unlock. Most breakthroughs are not blocked by a lack of ideas but by the cost of testing the unlikely ones. Lower that cost and people start exploring paths they would have dismissed as too expensive to try. Worth watching how this changes which questions even get asked.
Denisson C. Thank you, Denisson. I appreciate the recommendation and the practical example. One of the most interesting aspects of AI is seeing how it expands capabilities across very different fields, from software development to engineering, research and design. I'll definitely take a look.
Exciting to see AI give researchers more room to chase bold ideas. Looking forward to a future with less cognitive friction and more discovery.
Love this! AI can free researchers to chase bold ideas and make discovery paths clearer. Excited to hear Tao and Mark Chen discuss the future of math and science. Watching the forum talk.
These people need to be investigated for intelectual property theft....
It is honestly wild to see how AI is helping someone like Terence Tao think through complex math problems. I love the idea of reducing that mental friction so we can actually focus on the creative side of things. It makes me wonder what kind of breakthroughs we might see once these tools become standard for every researcher. Have you had a chance to watch the full talk yet? I am definitely adding it to my queue for the weekend.