Garr Reynolds retweeted
You don’t need 100 productivity hacks.
You just need these 6 principles to get better work done
. . . and avoid wasting your life.
Garr Reynolds retweeted
Apple has published a paper with a devastating title: “The Illusion of Thinking”
It argues that AI models, no matter how brilliant they may seem, do not understand what they are doing.
They do not solve problems. They do not reason. They merely generate text word by word, trying to sound coherent.
Apple tested the most advanced reasoning models in the world on controlled puzzle environments. They tore open the internal "thinking" traces.
What they found shatters the narrative that we are getting closer to AGI.
Current models don't scale with complexity. They have a hard mathematical cliff. And they do not degrade gracefully. They collapse.
But here is the most unsettling part.
When a problem gets too complex, the AI doesn't use its remaining compute to try harder.
It just gives up.
Its reasoning effort actually declines. It stops thinking and starts guessing.
Then Apple ran the experiment that closes the casket on the reasoning debate.
They gave the AI the exact, step-by-step algorithm to solve the puzzle. The cheat codes.
All the AI had to do was follow the instructions.
It couldn't do it.
Performance didn't improve at all.
When the complexity gets high enough, these models fail because they cannot actually execute a logical sequence.
They are not reasoning. They are just pattern matching.
When you give them a simple problem, they overthink. When you give them a hard problem, they collapse.
Paper: The Illusion of Thinking, Apple, 2025
Garr Reynolds retweeted

Alex Prompter@alex_prompterApr 12
Czech Republic
Czech RepublicConnected via Czech Republic App StoreAccount-level information, not a live location or per-post device.
This is the single best framework I’ve seen for understanding AI.
Terence Tao, arguably the smartest mathematician alive, just dropped a paper with Tanya Klowden on arXiv called “Mathematical Methods and Human Thought in the Age of AI.”
The core idea: a “Copernican View of Intelligence.”
Stop thinking of AI on a line from “dumb” to “superhuman.”
That’s the wrong axis entirely.
AI excels at BREADTH. Humans excel at DEPTH.
Tao himself said AI has made his papers “richer and broader, but not necessarily deeper.”
That’s not a limitation. That’s the entire playbook.
Stop trying to replace yourself with AI. Start using it to cover the 90% of surface area your brain physically can’t.
The people who get this are already 10x more productive.
The rest are still arguing about whether AI is “smart enough.”
Reframe your point of view from “smarter” to “different”.
Human + AI > either alone.
The math on that has never been clearer.
Terence Tao proposes what he calls a "Copernican view of intelligence".
Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture.
Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence.
Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.
Garr Reynolds retweeted
Check out @presentationzen’s blog for more slide design tips.
garrreynolds.com/design-tips
Garr Reynolds retweeted
Got a lot of positive feedback on my talk at #FoMo2026
The starting point on my journey to better presentations was Presentation Zen by @presentationzen ❤️
MUST read for those looking to improve their prezis!
Day 3 of the @ELLISforEurope FOMO School!
We start with Europe-@CSProfKGD of @VectorInst, @YorkUniversity on understanding what's inside the black box.
First: Why should we?
👉Safety. Regulation. Expand human knowledge.
PS:Yours truly reporting from a standing desk today 🫡
Garr Reynolds retweeted
Found an AI perspective I’d never heard before from a teacher of teens. It’s a bit meandering but your three minutes will be well used.
The godmother of AI just delivered the reality check Silicon Valley refuses to hear. She has the standing to say it.
Li: “Silicon Valley as a whole tends to mistake clear vision with short distance.”
Seeing the destination clearly has nothing to do with how hard it is to reach.
Self-driving cars were first demonstrated in 2006. Twenty years later Waymo is barely on the road.
The vision was never the problem. The distance was.
Clarity of destination gets mistaken for proximity to arrival. That’s the mistake the industry keeps making. And keeps making.
Li: “I consider myself a scientist in my heart and I actually really don’t like hyping.”
In an industry running at maximum temperature, Fei-Fei Li is one of the few people at the top willing to say that publicly.
Not because the technology isn’t real. Because the gap between what’s visible and what’s required is being systematically underestimated.
Large Language Models dominate the conversation. Text to text. Comparatively contained.
The harder problem is spatial intelligence. AI that reasons about and acts within the physical three-dimensional world. Hardware. Physics. Data that doesn’t exist yet. Real-time adaptation to chaos.
A robot that can clean a bathroom requires understanding every surface, every object, every force, every exception.
That’s not a software update. That’s a civilizational research problem.
Li: “I don’t call it hype. I call it a misleading sentiment. We don’t want to replace human creators.”
The second place the industry gets it wrong is creativity.
The narrative has hardened around replacement. AI takes the jobs. AI tells the stories. AI makes the art.
Li considers that not just wrong but destructive.
Wrong because AI doesn’t replicate creativity. Destructive because believing it can devalues the humans creating culture.
Human creativity isn’t a process to be automated. It’s fundamental to what we are as a species.
The goal is augmentation. Tools that make human creators faster and more capable. Not systems that generate output in the style of human work and call it creation.
That distinction matters more than most people in the industry are willing to sit with.
Precision of imagination is not proximity to reality.
Li has spent her career in the gap between those two things. The map isn’t the territory. The journey is long. The hurdles are deep.
And the scientist who built the foundation this era stands on is telling you the timeline everyone is selling is wrong.
We’ve been almost there with self-driving for twenty years.
The pattern doesn’t change just because the destination looks different.
Garr Reynolds retweeted
Replying to @ValaAfshar
Wise people read like it is cardio for the brain, you do it daily and suddenly bad ideas get tired first.
Garr Reynolds retweeted
It is increasingly clear that the careless mass introduction of 1:1 devices (on each kid's desk) in the 2010s was, at best, a waste of billions that could have been spent on teachers. At worst: a major cause of declining ed outcomes.
Of all the things I've been wrong about, the failure of edtech is the most disappointing.
I was so taken with @khanacademy's notion of the "flipped classroom" (world class lectures online, collaborative work in the classroom), but a combination of the disastrous Covid-era remote school experience and the mounting evidence that screens are mostly a distraction for kids shows that this was wishful thinking.
economist.com/united-states/…
Garr Reynolds retweeted
Want your next presentation to be the best you’ve ever given?
Remember these 3 things (they’re just 59 words):
1. Your audience is the hero.
They’re the central figure. Your role is to guide them toward success
2. Infuse your talk with story.
Data informs. Story moves. It gives structure, emotion, and meaning to your message.
3. Ask yourself: “Can they see what I’m saying?”
Each idea should have a clear visual moment; something your audience can grasp instantly.
Giving great presentations takes work, you’ve got this!
Garr Reynolds retweeted
‘Although ed-tech companies tout huge learning gains, independent research has made clear that technology rarely boosts learning in schools—and often impairs it.
A 2024 meta-analysis of 119 studies of early-literacy tech interventions, led by Rebecca Silverman of Stanford University, found the studies described programmes that delivered at best only marginal gains on standardised tests. The majority had little effect, no effect or harmful ones. Jared Horvath, a neuroscientist and author of a book called “The Digital Delusion”, has reviewed meta-analyses covering tens of thousands of studies. His verdict: “In nearly every context, ed tech doesn’t come close to the minimum threshold for meaningful learning impact.”’
Garr Reynolds retweeted
People are using AI for everyone and now it all sounds the same.
But I also bet people are changing their language to mimic AI--humans copy norms and it seems almost certain that chatbots are colonizing our minds and shaping our language
Everyone is starting to sound like AI, even in spoken language
Analysis of 280,000 transcripts of videos of talks & presentations from academic channels finds they increasingly used words that are favorites of ChatGPT
Model collapse, except for humans arxiv.org/pdf/2409.01754v1
Garr Reynolds retweeted
Many parts of Japan are blanketed in snow, and authorities say more is likely to fall through Sunday. Conditions are severe in some areas. People should stay up to date with travel information and prepare for possible blackouts.
Visit www3.nhk.or.jp/nhkworld/en/n… for more.
Garr Reynolds retweeted
Duarte has spent decades helping leaders present their most important ideas in high-stakes environments. The most convincing leaders all share one thing in common:
They have deep empathy for their audience.
People often talk about empathy like it’s an emotion, but in leadership, it’s more than that.
Empathy is a sixth sense that lets you sense what others need, process it, and respond in a way that builds trust. You might think empathy is a personality trait, that you either “have it” or you don't.
I disagree.
Empathy has a genetic component, but it is not purely genetic. In my experience, empathy is a learnable skill that grows stronger with practice.
If you’re preparing a presentation and want to practice empathy for your audience, start with these 3 questions:
1. What pressures or priorities are driving this audience right now?
(Think about what they’re being measured on or worried about this quarter.)
2. What outcome would make them feel successful?
(What result would make them feel this presentation was worth their time?)
3. What concerns or risks might keep them from saying yes?
(What hidden fears could block their decision?)
Those questions are the input. Clarity is the output.
Empathy is how you anticipate objections before they’re voiced and craft stories that meet people where they are.
Empathy is a repeatable process that makes people feel seen, and when people feel seen, they listen.
Garr Reynolds retweeted
Make critical thinking a foundational subject in education. Teach students how to think critically, analyze information, and discern fact from fiction using scientific methods, creating a more discerning and informed society.
Garr Reynolds retweeted
Last week, I was at CES, where I saw the “future” according to a tech industry with no ideas — robots that’ll never be released that do things I can already do, albeit much slower, and AI assistants that were just rehashed ChatGPT.
wheresyoured.at/dot-com-bubb…



































