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source https://www.fightforthehuman.com/cognitive-helmets-for-the-ai-bicycle-part-1/
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… designed world can be bad for us
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every psychologist knows all fears point to something real
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… technology is real and can be traumatizing.
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… stressors in technology is real and can be traumatizing.
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… solution, is on the level of collective human behavior and our sociotechnical structures …
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… bad … recipient of one-way information …
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… protect your mind when you’re a problem-solving-focused knowledge worker …
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… job that requires lifelong
- learning and wrestling with change, edge cases …
- … job default is unpredictability and volatility.
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Regardless of where you fall on agreeing or disagreeing with AI tools, you’re going to encounter them.
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- Français
- Peu importe si vous êtes accord ou en désaccord avec les outils de l’intelligence artificielle, vous allez les rencontrer. – Cat Hicks
- Français
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Feb 18th, 2026 lien avec cet opinion par Fred Hebert:
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…whether LLMs can or cannot deliver on what they promise: people calling the shots assume they can, so it’s gonna happen no matter what. …“well you gotta build with it anyway or find a new job”
- Feb 23rd, 2026 sous le thème:
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… psychologist … my responsibility to work more on this gap between what we’re watching AI do and what we’re worrying about for our minds.
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… need to deal with abstraction and automation isn’t going away.
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… work out our vision for changing workflows without
- damaging your hard-won problem-solving skills,
- cutting yourself off from learning opportunities,
- mitigating critical thinking.
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… metacognition as understanding your own mind at work.
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creativity-stifling traps …
- narrowing down on a solution too early,
- accepting solutions without properly validating them.
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Metacognition about these tools …
- making your not-AI time more valuable: …
- pre-plan for rote tasks may end up having more time for their own creativity and exploration.
- making your not-AI time more valuable: …
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… we’re often wrong about what actually helps us learn better.
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…becoming truly effective as a learner entails
- functional architecture
- activities and techniques
- monitor the state of one’s learning
- understanding certain biases
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… confuse the experience of effort with actual learning.
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… works better than cramming is spacing,
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… AI agent is that it could push you into a massing strategy …
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… ways to build back the spacing effect?
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Return to the same problem …
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Avoid … parallel tasks …
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… align breaks with natural workflow phases like changing from the generation to the evaluation of code.
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… specific times in your job when you feel pressure to cram?
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… pretesting.
- … prompt ourselves to try to generate an answer for something we don’t know before we go try to learn it, we learn better.
- … direct our attention to where the gaps are in our previous knowledge.
- … prompt ourselves to try to generate an answer for something we don’t know before we go try to learn it, we learn better.
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you learn best by doing.
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… our minds love the generation effect:
- we encode information better when we produce it,
- rather than passively consume it.
- we encode information better when we produce it,
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… minds like being creative and generative.
- They like to do things.
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How do we center on what we’re actively generating ourselves?
- … quick pre-testing. … quick sketch or guessing at the solution. … primed your mind to learn more when you read through a machine-generated solution.
- … building in novel skill areas, … even if you’ll eventually move into automating it in your daily workflow.
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Generating
- … slow down.
- explanations,
- documentation,
- and other ways of explaining your thinking
- also count.
- … era where you are writing less code … creative energy to a different domain …
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Predict the performance of your AI … before it completes a task, and evaluate it afterward.
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… researchers argue that interventions to help people learn better metacognitive strategies have one of the biggest effect sizes of any achievement-oriented intervention.
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The Metacognitive Demands and Opportunities of Generative AI