Mike Gale
1.5K posts

Mike Gale
@MikeJGale
Mutare/Umtali. UBHS. OB Chimani. 131 UCT Chem. Eng. Durbs. Joeys. Auckland. Sydney.
near the Tannhäuser Gate Katılım Eylül 2009
106 Takip Edilen53 Takipçiler

@SanchezMamacita @aheli_ns @jean_twenge I was just reading an article by somebody in a US school who is almost eliminating chromebooks from the classroom, and bemoaning books that are on machines.
What part of the US?
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The dialing back of "every kid gets a Chromebook" has started. Here's hoping it keeps going, and that there's more learning and less distraction. nytimes.com/2026/03/29/tec…
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@MikeJGale @aheli_ns @jean_twenge The plan was implemented years ago.
I worked in a district that got rid of all paper books for “programs”. They turned the library into an open room with tables, kinda like a cafeteria.
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@SanchezMamacita @aheli_ns @jean_twenge That's an interesting question. Hadn't occurred to me.
Is there a plan to replace textbooks with chromebooks?
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@jean_twenge I have an idea. A great program, STI.
The search for terrestrial intelligence.
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Parents have had it. Kindergartners should not be watching YouTube at school. In a few years, we're going to look back at school tablets and laptops and wonder what the heck we were thinking, especially for elementary school students. washingtonpost.com/opinions/2026/…
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@aheli_ns @jean_twenge Ah. I know a lot of people who know how to use computers but never had a chromebook. Thanks for the insight. They're not humans. Come to think of it neither am I, or all those ancient people from BC. Before chromebooks.
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@jean_twenge If you take chromebooks away from kids you are depriving them of learning how to use technology.
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@GaryRichardson1 @G_S_Bhogal Aha. The theory behind the automatic snowballing misery machine.
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@G_S_Bhogal There's a guy probably the richest human on earth ever and he appears to be on here 25 hours a day, eight days a week. Ranting and raving like he owns the place.
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@FraserNelson Thought experiment: You can write your own algorithm, control what you see. What do you do?
Don't put it off, think now, start your notes. Unless you did that already.
Later, if needed, make it happen more and more.
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@Heroiam_Slava A good start is being made. I look forward to a finished job.
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@Jack_Watling INTRODUCTION
I. Insight
II. Dependence
III. Chokepoints
IV. Values
V. Systems
VI. Arms
VII. Time
VIII. Scale
IX. Priorities
X. Lenses
XI. Discovery
XII. Collaboration
CONCLUSION
ACKNOWLEDGEMENTS
NOTES
Paperback end of April. Sample available online.
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Hard copies just arrived!
Statecraft: The New Rules of Power in a Divided World
To be published Thursday, 19 March: amazon.co.uk/Statecraft-Rul…

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@G_S_Bhogal This medium does not permit. Imagine seeing the stream of consciousness of readers.
How many noticed? I suspect most.
How many re-read?
How many thought "gotta reconsider subscribing to this"?
etc.
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Mike Gale retweetledi

@simonmaechling How do you filter X?
Machine curated feed?
Personally curated lists?
Custom searches?
...?
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The Grok "undress" button scandal is just the latest evidence that social media is wildly inappropriate for minors. Social media is causing chaos and cruelty in children's lives.
Teachers see it: UK teachers union calls for a min. age of 16:
theguardian.com/media/2026/jan…
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@JohnCleese Are the Iranians showing people what to do about the BBC?
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@ValerioCapraro What a great paper.
I see people who exhibit behaviour on the of LLM side of your "fault lines", when they emit words.
I've seen this from teachers, in my own learning, in politicians, in Journalism, ...
I still need to evaluate and grok your "7 lines" better, for my own views.
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Major preprint just out!
We compare how humans and LLMs form judgments across seven epistemological stages.
We highlight seven fault lines, points at which humans and LLMs fundamentally diverge:
The Grounding fault: Humans anchor judgment in perceptual, embodied, and social experience, whereas LLMs begin from text alone, reconstructing meaning indirectly from symbols.
The Parsing fault: Humans parse situations through integrated perceptual and conceptual processes; LLMs perform mechanical tokenization that yields a structurally convenient but semantically thin representation.
The Experience fault: Humans rely on episodic memory, intuitive physics and psychology, and learned concepts; LLMs rely solely on statistical associations encoded in embeddings.
The Motivation fault: Human judgment is guided by emotions, goals, values, and evolutionarily shaped motivations; LLMs have no intrinsic preferences, aims, or affective significance.
The Causality fault: Humans reason using causal models, counterfactuals, and principled evaluation; LLMs integrate textual context without constructing causal explanations, depending instead on surface correlations.
The Metacognitive fault: Humans monitor uncertainty, detect errors, and can suspend judgment; LLMs lack metacognition and must always produce an output, making hallucinations structurally unavoidable.
The Value fault: Human judgments reflect identity, morality, and real-world stakes; LLM "judgments" are probabilistic next-token predictions without intrinsic valuation or accountability.
Despite these fault lines, humans systematically over-believe LLM outputs, because fluent and confident language produce a credibility bias.
We argue that this creates a structural condition, Epistemia:
linguistic plausibility substitutes for epistemic evaluation, producing the feeling of knowing without actually knowing.
To address Epistemia, we propose three complementary strategies: epistemic evaluation, epistemic governance, and epistemic literacy.
Full paper in the first reply.
Joint with @Walter4C & @matjazperc

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@TimOBrien This is expected and planned. Those who bought it, not having arranged some benefit for what they donated, are not clever.
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Any speculator who bought Trump’s memecoin at its peak after it was announced inauguration weekend would have lost almost the entire value of their investment by this month. bloomberg.com/news/articles/…
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