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repercussions—what would happen should you fail—and of positive angles, the rewards if you succeed.
Maria Konnikova • Mastermind
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By creating checklists and templates for our own innovation and problem solving, we can begin to systematically conduct what is an implicit process for many.
Sam Tatam • Evolutionary Ideas
Accurate intuition, the intuition that Holmes possesses, is of necessity based on training, hours and hours of
Maria Konnikova • Mastermind
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He took System Watson and taught it to operate by the rules of System Holmes, imposing reflective thought where there should rightly be reflexive reaction.
Maria Konnikova • Mastermind
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#4—Prompting is a finicky art, but a worthy investment While it would be great if the three techniques I’ve shared so far immediately transform your prompts, there's a decent chance they will fall flat for your use case. My guess is that they will even become irrelevant as models become smarter and more cost-effective over time. My point in sharing
... See moremail.google.com • Fwd: How I Prompted My Way to Publish-Ready Content - kaustubhs@groww.in - Groww Mail
even when that means performing poorly on tests of immediate progress. That is, the most effective learning looks inefficient; it looks like falling behind.
(Journalist) David Epstein • Range: How Generalists Triumph in a Specialized World
The magnetic force is doing the spinning. Everything else is about getting the magnets in the right place with the right polarity; nature does the rest.
This is critical, so we’ll say it again. A combustion engine carries its fuel, which it burns, fighting thermodynamics by converting heat to motion, so it is less efficient. An electric motor
... See morePacky McCormick • The Electric Slide
Instead, we're moving into Software 2.0 (a shift that Michael Taylor recently wrote about), where we describe a goal that we want to achieve and train a model to accomplish it. Rather than having a human write instructions for the computer to follow, training works by searching through a space of possible programs until we find one that works. In
... See moreDan Shipper • Five New Thinking Styles for Working With Thinking Machines
The Shift from Formal Theories to Engineering Outcomes in AI Development: In recent years, the development of artificial intelligence (AI) has transitioned from focusing primarily on formal theories and mathematical models to emphasizing practical engineering outcomes. This shift reflects a growing recognition of the importance of real-world applications, such as improving user experience and enhancing automation, over purely theoretical advancements. As a result, researchers and developers are increasingly prioritizing iterative design and testing processes to create more effective and user-friendly AI systems.
Sampling produces the need for a confidence value, because we are generalizing based on a select, representative population. And the smaller the sample, the more generalizing we are doing: if we did the intervention for half of the world and then measured, we’d be a lot more confident that our measurement represented the true power to change
... See moreMatt Wallaert • Start at the End: How to Build Products That Create Change
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