Browse Comments — Raw (as collected)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Felt bad to see Elon's lost his hair, and telling people will lose their jobs
Using my brain for 10 minutes full tilt hurts too. 🤯😂
Two years ago I proposed to go luddite in year 1 and 2 of university (pen and paper only, exams, orals), and then in the 3d year introduce classes that try to develop an AI augmented pedagogy. Some of us are starting to use more and more AI so we are actually getting a lot of ideas on how to teach it. But the political economics and climate impact of AI and the privacy issues around its systematic usage in the university is a crucial barrier. I think we need local models, specifically designed for university learning, that are free, and designed to promote critical thinking and less cognitive offloading.
"The function creates the organ" - Jean-Baptiste Lamarck.
This is how we evolved. Remove the function and the organ disappears.
Well said
I really don't know how to feel about this. Is normalcy too much to ask for?!
This finding has been known for decades with cheat sheets.
When a tool is suddenly taken away in the middle of a test, be it a text book, cheat sheet, calculator, internet search, or AI, then participants’ performance in the immediate few minutes drops, the the participants try to shift their workflow.
This happens with tests for other skills, including manual skills. A bricklayer who gets one of his trowels taken away has to take a few minutes to find a way to readjust. This is also often the case with construction workers who use shared machinery. Workers digging a trench manually, along side a backhoe, will suddenly stop working, reevaluate their task, and reorganize for several minutes when an assistive machine is taken away. This is human nature, not AI.
I've used military comms as an analogy for this. Don't tell it people names; give them a call sign. Even deeper, we didn't give ourselves call signs. They were bestowed up on you, sort of like a knighting ceremony. I still smile when I hear "Ham and Cheese." Had a good trip with MA2 Forrest, and he honored me with it. Call signs are earned through trust. Same game here, I believe. You can't call yourself a builder. You earn it.
Will Google DeepMind take the AI Humanity pledge? - https://survey.alchemer.com/s3/8850126/deepmind
Black Mirror already went there years ago
AI, sci fi, Marx, Freud, Adam Smith... all are pertinent lessons from EXISTING methods to achieve a soft landing: https://www.davidbrin.com/ailienminds.html
The conclusion from this simple-minded experiment that AI use "hurts your brain" is wildly overblown. In this experiment the subjects are using AI as a calculator, so the conclusions would be exactly the same as using a calculator to solve the same fractions, then suddenly being asked to do those calculations by hand. No one would reasonably conclude that use of a calculator "hurts your brain". The top mathematicians in the world use calculators for arithmetic and save their brains for real math.
Similar, I suppose, to being asked to comment on a certain genocide.
Human to do Cardio and Generate Energy 😁 Robots will do better and faster 😁💪
The joke is on us
This projection of Jeff Besos looks younger then current Jeff Besoshttps://x.com/CNBC/status/2057085086504218722
When asked how to combat the drug epidemic they responded, "Just say no".
Black Mirror was on point all along! 😂😂
Interesting. Is this another Black Mirror prediction? 😅
This isn't an "ignored noise" problem; it's a structural Operational Waste in the decision architecture. When I audit teams, the habit of focusing energy on non-customer feedback often leads to a Growth Ceiling, effectively burning 2-3 hours per day on irrelevant data. Building a business requires a clear signal-to-noise ratio, otherwise, critical market intelligence is filtered out, creating a Brand Contradiction as the product diverges from actual user needs. This structural failure to implement a robust feedback loop costs businesses 7-figures in hidden revenue by delaying essential product-market fit adaptation and escalating customer acquisition costs as the market shifts. You don't have a noise problem, you have a missing feedback loop architecture.
https://businessforensics.tech/