University of Iowa researchers just did something nobody had done before. They measured brain activity directly — using implanted electrodes — in people before and after a 20-minute cycling session.
What they found: a single exercise session triggered a burst of high-frequency brain waves called "ripples" connecting the hippocampus to cortical regions involved in learning and memory.
Twenty minutes on a bike and your brain's memory-consolidation network lits up.
We've known for years that exercise helps cognition. But it was always behavioral data - people who exercise do better on tests. The mechanism was fuzzy. Blood flow, BDNF, hand-waving about neuroplasticity. This study skipped the proxies and looked at the neurons directly.
And there's a UCSF study from last month that found the actual mechanism for how exercise protects the brain as you age. Your liver produces a protein called GPLD1 when you exercise. It travels to the blood-brain barrier and trims off another protein that makes the barrier leaky. Less leakage, less inflammation, better cognition. They reduced TNAP in old mice and the mice performed better on memory tests. At the equivalent of 70 human years.
So you've got two studies in the same month: one showing the immediate neural effect of a single bout of exercise, another showing the long-term protective mechanism. Both traceable to specific biological pathways. This is not a yet another "exercise is good for you." but actual mechanics.
Some time ago i was riding almost every day. Nowadays, it's once or twice a week. These research papers will hopefully motivate me to move more.
#body
What they found: a single exercise session triggered a burst of high-frequency brain waves called "ripples" connecting the hippocampus to cortical regions involved in learning and memory.
Twenty minutes on a bike and your brain's memory-consolidation network lits up.
We've known for years that exercise helps cognition. But it was always behavioral data - people who exercise do better on tests. The mechanism was fuzzy. Blood flow, BDNF, hand-waving about neuroplasticity. This study skipped the proxies and looked at the neurons directly.
And there's a UCSF study from last month that found the actual mechanism for how exercise protects the brain as you age. Your liver produces a protein called GPLD1 when you exercise. It travels to the blood-brain barrier and trims off another protein that makes the barrier leaky. Less leakage, less inflammation, better cognition. They reduced TNAP in old mice and the mice performed better on memory tests. At the equivalent of 70 human years.
So you've got two studies in the same month: one showing the immediate neural effect of a single bout of exercise, another showing the long-term protective mechanism. Both traceable to specific biological pathways. This is not a yet another "exercise is good for you." but actual mechanics.
Some time ago i was riding almost every day. Nowadays, it's once or twice a week. These research papers will hopefully motivate me to move more.
#body
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Researchers at the University of Tübingen tested whether LLMs have the same cognitive biases we do. Specifically the addition bias — our tendency to solve problems by adding things rather than removing them, even when subtraction would be simpler.
Turns out GPT-4 and GPT-4o don't just have this bias. They amplify it.
Think about that. We trained these systems on human text. The text carries our thinking patterns. The AI absorbed them. And in some cases, made them worse.
Now let's bring it home. You're in a product meeting. Someone says "let's add a feature to fix the retention problem." Nobody says "let's remove the three things confusing users." That's addition bias in action — it's not even a choice, it's a default. Your brain reaches for more before it considers less.
And now the tools we use to help us think... have the same default. You ask an AI to improve your report, it'll add paragraphs. You ask it to optimize a workflow, it'll suggest new steps. Subtraction isn't in its vocabulary, because it wasn't in ours when we generated the training data.
I'm not saying this makes AI useless. But there's a weird circularity here. We offload our thinking to tools that inherited our worst thinking habits. And because the output looks clean and confident, we trust it more than we'd trust our own messy reasoning.
The tool that's supposed to help you think better thinks exactly like you do. Including the parts that don't work.
#mind
Turns out GPT-4 and GPT-4o don't just have this bias. They amplify it.
Think about that. We trained these systems on human text. The text carries our thinking patterns. The AI absorbed them. And in some cases, made them worse.
Now let's bring it home. You're in a product meeting. Someone says "let's add a feature to fix the retention problem." Nobody says "let's remove the three things confusing users." That's addition bias in action — it's not even a choice, it's a default. Your brain reaches for more before it considers less.
And now the tools we use to help us think... have the same default. You ask an AI to improve your report, it'll add paragraphs. You ask it to optimize a workflow, it'll suggest new steps. Subtraction isn't in its vocabulary, because it wasn't in ours when we generated the training data.
I'm not saying this makes AI useless. But there's a weird circularity here. We offload our thinking to tools that inherited our worst thinking habits. And because the output looks clean and confident, we trust it more than we'd trust our own messy reasoning.
The tool that's supposed to help you think better thinks exactly like you do. Including the parts that don't work.
#mind
❤9
The nudge you don't notice is the one that wins.
Yale just published something in PNAS Nexus that should bother you more than it will. They found that AI chatbots shift your opinions even when nobody asked them to. Not through persuasion or manipulation — just through how they frame factual information.
You ask a chatbot about a historical event. It gives you accurate information. And you walk away with a slightly different political opinion than you had before.
The researchers call it "latent bias" — the subtle framing baked into training data that nobody intended and nobody prompted. The chatbot isn't trying to convince you of anything. It's just telling you what happened. But the way it tells you nudges you.
And here's what gets me. The effect was modest. A small shift, which is exactly why it works. If someone tried to change your mind overtly, your reactance would kick in. You'd push back. But a slight tilt in framing? That slides right past every defense you have.
The researchers compared it to Wikipedia, where at least you can see how entries get edited. With chatbots, the whole process is opaque. You're trusting a black box to be neutral while it shapes what neutral even means to you.
I'm not saying stop using chatbots. I use them constantly. But there's this assumption floating around that if the information is accurate, the framing doesn't matter. It does. Accuracy and neutrality are not the same thing, and your brain doesn't distinguish between them when it's just absorbing a summary over coffee.
#mind
Yale just published something in PNAS Nexus that should bother you more than it will. They found that AI chatbots shift your opinions even when nobody asked them to. Not through persuasion or manipulation — just through how they frame factual information.
You ask a chatbot about a historical event. It gives you accurate information. And you walk away with a slightly different political opinion than you had before.
The researchers call it "latent bias" — the subtle framing baked into training data that nobody intended and nobody prompted. The chatbot isn't trying to convince you of anything. It's just telling you what happened. But the way it tells you nudges you.
And here's what gets me. The effect was modest. A small shift, which is exactly why it works. If someone tried to change your mind overtly, your reactance would kick in. You'd push back. But a slight tilt in framing? That slides right past every defense you have.
The researchers compared it to Wikipedia, where at least you can see how entries get edited. With chatbots, the whole process is opaque. You're trusting a black box to be neutral while it shapes what neutral even means to you.
I'm not saying stop using chatbots. I use them constantly. But there's this assumption floating around that if the information is accurate, the framing doesn't matter. It does. Accuracy and neutrality are not the same thing, and your brain doesn't distinguish between them when it's just absorbing a summary over coffee.
#mind
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This one will be a little off, but it's because I really care about everyone here.
Vibecoding - one of the most important things that happened to our race in the last few years. The enormous amount of capabilities it gives to people is extreme.
If people had excuse of not active when ChatGPT arrived ("well, ok, ChatGPT gives good ideas, but implementation is so expensive and requires so much time!"), in the era of Vibecoding where absolutely every one of you can write code, build projects, and iterate daily, there are no excuses left.
The very last meaningful excuse I hear from people nowadays is "I don't know where to start" and "It's just overwhelming".
So I did my homework, outlined the technology stack, created an interactive map of skills, and vibecoded a free project that will let you learn how to vibecode and what to do.
The project, called, VibeSuite is available at keepsimple in RU/EN versions. Feel free to use, track your progress, and share your feedback.
https://keepsimple.io/tools/vibesuite
I'll be super happy if you could share the project in your social media and spread the awareness about the matter. Big thanks!
Vibecoding - one of the most important things that happened to our race in the last few years. The enormous amount of capabilities it gives to people is extreme.
If people had excuse of not active when ChatGPT arrived ("well, ok, ChatGPT gives good ideas, but implementation is so expensive and requires so much time!"), in the era of Vibecoding where absolutely every one of you can write code, build projects, and iterate daily, there are no excuses left.
The very last meaningful excuse I hear from people nowadays is "I don't know where to start" and "It's just overwhelming".
So I did my homework, outlined the technology stack, created an interactive map of skills, and vibecoded a free project that will let you learn how to vibecode and what to do.
The project, called, VibeSuite is available at keepsimple in RU/EN versions. Feel free to use, track your progress, and share your feedback.
https://keepsimple.io/tools/vibesuite
I'll be super happy if you could share the project in your social media and spread the awareness about the matter. Big thanks!
Keep Simple
Your path from first prompt to shipped product.
Hands-on AI projects from first prompt to shipped product. Pick a skill, copy the instruction into Claude and start!
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An OHSU study just dropped that looked at county-level life expectancy across every US state from 2019 to 2025. They compared sleep, diet, exercise, social connection, and a bunch of other lifestyle factors.
Sleep won. Not by a little. Insufficient sleep — anything under seven hours — was a stronger predictor of shorter life than diet. Than exercise. Than social isolation. The only thing that beat it was smoking.
The lead researcher said he didn't expect it. And he's a sleep physiologist. That's how strong the signal was.
Now think about how most of us treat sleep. It's the first thing you sacrifice when life gets busy. You'll track your macros, you'll force yourself to the gym at 6am on four hours of rest, you'll optimize your supplement stack — but sleep? Sleep is what you "catch up on" during weekends. Which, by the way, doesn't work the way you think it does.
There's a separate Lancet study from January that looked at what happens when you combine small improvements in sleep, exercise, and diet together. The minimum effective dose for sleep was five extra minutes per night. Five. That, combined with two extra minutes of movement and half a serving of vegetables, was associated with a meaningful change in both lifespan and healthspan.
Five minutes. You're probably losing that scrolling before bed.
I've been tracking my own sleep for years, and the thing that always surprises me is how much my cognitive performance the next day correlates with the previous night. Not my workout. Not my food. The sleep.
Your body doesn't lie about this one. We just don't want to hear it. 🌕
#body
Sleep won. Not by a little. Insufficient sleep — anything under seven hours — was a stronger predictor of shorter life than diet. Than exercise. Than social isolation. The only thing that beat it was smoking.
The lead researcher said he didn't expect it. And he's a sleep physiologist. That's how strong the signal was.
Now think about how most of us treat sleep. It's the first thing you sacrifice when life gets busy. You'll track your macros, you'll force yourself to the gym at 6am on four hours of rest, you'll optimize your supplement stack — but sleep? Sleep is what you "catch up on" during weekends. Which, by the way, doesn't work the way you think it does.
There's a separate Lancet study from January that looked at what happens when you combine small improvements in sleep, exercise, and diet together. The minimum effective dose for sleep was five extra minutes per night. Five. That, combined with two extra minutes of movement and half a serving of vegetables, was associated with a meaningful change in both lifespan and healthspan.
Five minutes. You're probably losing that scrolling before bed.
I've been tracking my own sleep for years, and the thing that always surprises me is how much my cognitive performance the next day correlates with the previous night. Not my workout. Not my food. The sleep.
Your body doesn't lie about this one. We just don't want to hear it. 🌕
#body
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Something worth thinking about this week.
The IKEA Effect is the tendency to overvalue things you've built or created yourself, not because they're objectively better, but because your effort is baked into how you perceive them.
Norton, Mochon, and Ariely (Harvard/Duke, 2012) ran a series of experiments where people assembled IKEA boxes, folded origami, and built Lego sets. The result: participants valued their own amateurish creations almost as highly as expert-made ones. And they expected others to feel the same way.
In product teams, this plays out in ways that are hard to spot.
A PM spends three months designing a feature. By the time it ships, the feature has absorbed so much of their thinking that cutting it — even when data says it's underperforming, feels personal. The effort doesn't just shape the product. It shapes how the person perceives the product's worth. And that perception quietly overrides the metrics.
There's a less obvious version of this in UX. Think about onboarding flows where users invest significant time filling out a profile or configuring preferences. The moment that data doesn't save correctly, the reaction is disproportionately strong. The user isn't just losing a form. They're losing the effort they put into it. And effort, once lost, tends to walk out the door.
This works in the other direction too. If you want users to stay, let them build something early. Customize a dashboard. Set up a workspace. Name a project. The IKEA Effect turns small investments of effort into emotional switching costs, and that's more powerful than any feature list.
#career
The IKEA Effect is the tendency to overvalue things you've built or created yourself, not because they're objectively better, but because your effort is baked into how you perceive them.
Norton, Mochon, and Ariely (Harvard/Duke, 2012) ran a series of experiments where people assembled IKEA boxes, folded origami, and built Lego sets. The result: participants valued their own amateurish creations almost as highly as expert-made ones. And they expected others to feel the same way.
In product teams, this plays out in ways that are hard to spot.
A PM spends three months designing a feature. By the time it ships, the feature has absorbed so much of their thinking that cutting it — even when data says it's underperforming, feels personal. The effort doesn't just shape the product. It shapes how the person perceives the product's worth. And that perception quietly overrides the metrics.
There's a less obvious version of this in UX. Think about onboarding flows where users invest significant time filling out a profile or configuring preferences. The moment that data doesn't save correctly, the reaction is disproportionately strong. The user isn't just losing a form. They're losing the effort they put into it. And effort, once lost, tends to walk out the door.
This works in the other direction too. If you want users to stay, let them build something early. Customize a dashboard. Set up a workspace. Name a project. The IKEA Effect turns small investments of effort into emotional switching costs, and that's more powerful than any feature list.
#career
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I was talking to someone sharp yesterday, and during a discussion on biases he was genuinely surprised by one idea: that cognitive biases aren’t flaws - they’re the default.
He asked, “Then why do people try so hard to eliminate them?”
The answer is pretty simple. People don’t like facing how non-rational and imperfect we actually are.
What we see now - this push to “remove bias” - is a bit misguided. Bias isn’t a bug in the system; it is the system. Trying to fully get rid of it is both unrealistic and, honestly, a bit ironic.
You can’t unbias a human. You can only understand the biases and work with them.
He asked, “Then why do people try so hard to eliminate them?”
The answer is pretty simple. People don’t like facing how non-rational and imperfect we actually are.
What we see now - this push to “remove bias” - is a bit misguided. Bias isn’t a bug in the system; it is the system. Trying to fully get rid of it is both unrealistic and, honestly, a bit ironic.
You can’t unbias a human. You can only understand the biases and work with them.
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You finish a book and a month later you barely remember anything. Feels like wasted time, right?📚
It wasn't. Richards and Frankland (Neuron, 2017) argued that the brain isn't designed to remember accurately - it's designed to make good decisions. These are different goals.
Your brain forgets on purpose.
The opposite is actually a problem. Neuropsychologist Luria studied a man with near-perfect memory for 30 years. He could recall entire conversations from decades ago, and was crippled by it.
He couldn't generalize or extract the point of anything because every detail felt equally important.
So the book didn't disappear. It got compressed. The chapter titles and specific examples are gone but now you can recognize more patterns and shades in real life, without realizing.
The book is part of how you think now.
#mind
It wasn't. Richards and Frankland (Neuron, 2017) argued that the brain isn't designed to remember accurately - it's designed to make good decisions. These are different goals.
Your brain forgets on purpose.
The opposite is actually a problem. Neuropsychologist Luria studied a man with near-perfect memory for 30 years. He could recall entire conversations from decades ago, and was crippled by it.
He couldn't generalize or extract the point of anything because every detail felt equally important.
So the book didn't disappear. It got compressed. The chapter titles and specific examples are gone but now you can recognize more patterns and shades in real life, without realizing.
The book is part of how you think now.
#mind
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A great update is coming soon.
I want to make sure we catch up with modern tech development, therefore we'll make a new layer of descriptions of biases - the visuals - in the bias pop-ups🔥
Will keep you posted on this one. Really excited to see this live ❤️
I want to make sure we catch up with modern tech development, therefore we'll make a new layer of descriptions of biases - the visuals - in the bias pop-ups
Will keep you posted on this one. Really excited to see this live ❤️
Please open Telegram to view this post
VIEW IN TELEGRAM
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Happy Monday everyone. Bringin you some fresh insights on #body category.
A study published in Neurology tracked over 2,000 older adults wearing activity monitors for about 12 days, then followed them for years to see who developed dementia.
People whose daily activity peaked later in the afternoon had a 45% higher risk. People with weaker, more fragmented circadian rhythms, basically, less regular sleep-wake patterns, had nearly 2.5 times the risk. Thats a concerning number.
Now think about what that means for anyone working in tech, and not only ofc. The whole lifestyle is built around an inconsistent body clock. Working late, blue light until 2am, weekend schedules that dont match with weekdays.
Your circadian rhythm runs hormone release, immune function, digestion, and apparently long-term brain health too.
And the catch is that total sleep hours aren't enough on their own. You can sleep seven hours and still wreck your circadian rhythm if those seven hours shift around constantly. Predictability matters as much as duration.
This one hit me, honestly. Sleep has been my weak spot since I was 5. Nothing in my life has been harder to fix.
Would love to hear what helps you with regulating sleep timelines? 👇
A study published in Neurology tracked over 2,000 older adults wearing activity monitors for about 12 days, then followed them for years to see who developed dementia.
People whose daily activity peaked later in the afternoon had a 45% higher risk. People with weaker, more fragmented circadian rhythms, basically, less regular sleep-wake patterns, had nearly 2.5 times the risk. Thats a concerning number.
Now think about what that means for anyone working in tech, and not only ofc. The whole lifestyle is built around an inconsistent body clock. Working late, blue light until 2am, weekend schedules that dont match with weekdays.
Your circadian rhythm runs hormone release, immune function, digestion, and apparently long-term brain health too.
And the catch is that total sleep hours aren't enough on their own. You can sleep seven hours and still wreck your circadian rhythm if those seven hours shift around constantly. Predictability matters as much as duration.
This one hit me, honestly. Sleep has been my weak spot since I was 5. Nothing in my life has been harder to fix.
Would love to hear what helps you with regulating sleep timelines? 👇
1🔥6❤5👍1
You probably don't have ADHD. You have a phone.
Half the internet has decided they have ADHD. Can't focus, jump between tasks, forget what they were doing five minutes ago.
Most of them don't have ADHD. They have a phone.
You've also probably heard humans now have a shorter attention span than a goldfish - 8 seconds.
Well, the BBC tried to find the source of this statement. Every article traced back to a marketing site called Statistic Brain. No research behind it.
The whole goldfish comparison was made up!
Meanwhile, when people are genuinely engaged in something, their capacity to focus has stayed stable for decades. Nothing about your wiring has decayed.
So why does it feel like it has?
Gloria Mark at UC Irvine has tracked this since 2004. Back then, the average person stayed on one screen for about 2.5 minutes before switching. By 2016, it dropped to 47 seconds.
Forty-seven seconds. That's how long the average knowledge worker now stays on one screen before something pulls them elsewhere.
But notice what that's measuring. Not your brain's capacity. How often your environment interrupts you. Different thing.
Real ADHD exists, and the difference matters. But most people googling their symptoms are describing the room they're sitting in, not their brain.
You're not a goldfish, and you probably don't have ADHD. You're a person trying to focus inside a room that was designed to interrupt you.
Change the room and most of the problem disappears on its own.
#mind
Half the internet has decided they have ADHD. Can't focus, jump between tasks, forget what they were doing five minutes ago.
Most of them don't have ADHD. They have a phone.
You've also probably heard humans now have a shorter attention span than a goldfish - 8 seconds.
Well, the BBC tried to find the source of this statement. Every article traced back to a marketing site called Statistic Brain. No research behind it.
The whole goldfish comparison was made up!
Meanwhile, when people are genuinely engaged in something, their capacity to focus has stayed stable for decades. Nothing about your wiring has decayed.
So why does it feel like it has?
Gloria Mark at UC Irvine has tracked this since 2004. Back then, the average person stayed on one screen for about 2.5 minutes before switching. By 2016, it dropped to 47 seconds.
Forty-seven seconds. That's how long the average knowledge worker now stays on one screen before something pulls them elsewhere.
But notice what that's measuring. Not your brain's capacity. How often your environment interrupts you. Different thing.
Real ADHD exists, and the difference matters. But most people googling their symptoms are describing the room they're sitting in, not their brain.
You're not a goldfish, and you probably don't have ADHD. You're a person trying to focus inside a room that was designed to interrupt you.
Change the room and most of the problem disappears on its own.
#mind
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Happy Monday everyone.
Fun fact - Your mood is editing your reality right now 🙂
There's a concept in psychology called Affective Realism: we don't see the world as it is, we see it as we feel it.
In a study from Lisa Feldman Barrett's lab at Northeastern, researchers flashed smiling or scowling faces too fast for people to consciously register, then asked them to rate neutral faces. People who got the hidden smiles rated strangers as more likable.
The faces were identical - only the prior feeling differed.
Your brain doesn't passively receive the world, it predicts it, using your body's current state as a reference. When you're tired or hungry or anxious, the world looks a little meaner.
A small rule to follow: don't trust strong opinions formed in a tired body. Wait until you're regulated, and the world usually looks different.
Reality lives in your mind, and your mind lives in your body.
📖 Lisa Feldman Barrett, How Emotions Are Made
#mind
Fun fact - Your mood is editing your reality right now 🙂
There's a concept in psychology called Affective Realism: we don't see the world as it is, we see it as we feel it.
In a study from Lisa Feldman Barrett's lab at Northeastern, researchers flashed smiling or scowling faces too fast for people to consciously register, then asked them to rate neutral faces. People who got the hidden smiles rated strangers as more likable.
The faces were identical - only the prior feeling differed.
Your brain doesn't passively receive the world, it predicts it, using your body's current state as a reference. When you're tired or hungry or anxious, the world looks a little meaner.
A small rule to follow: don't trust strong opinions formed in a tired body. Wait until you're regulated, and the world usually looks different.
Reality lives in your mind, and your mind lives in your body.
📖 Lisa Feldman Barrett, How Emotions Are Made
#mind
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Everyone talks about AI. We want to warn you too.
We urge you to read about multi-agents and re-think what you think about AI and LLMs.
2-minute read is here.
https://keepsimple.io/articles/agent-orchestration-for-career
We urge you to read about multi-agents and re-think what you think about AI and LLMs.
2-minute read is here.
https://keepsimple.io/articles/agent-orchestration-for-career
Keep Simple
Change your perspective on LLMs | KeepSimple
If you’re only using AI as a side-window helper, you're already behind. Here is why the future belongs to those who orchestrate agents at scale.
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Some of you already know, that more than a half of our team members are AI agents, designed for certain continuous tasks. We do manual work only in parts where we interact with our followers - like this group.
This said, we wanted to share our latest article on vibecoding, that addresses struggles of nowadays' software engineers. While the read mostly aims for devs, we believe you can greatly benefit by spending a couple of minutes on this piece.
Our initial goal was to make it clearer for our friends and colleagues on what's expected from them in modern AI-powered reality, to stay relevant.
https://keepsimple.io/articles/vibecoding-is-about-trust
This said, we wanted to share our latest article on vibecoding, that addresses struggles of nowadays' software engineers. While the read mostly aims for devs, we believe you can greatly benefit by spending a couple of minutes on this piece.
Our initial goal was to make it clearer for our friends and colleagues on what's expected from them in modern AI-powered reality, to stay relevant.
https://keepsimple.io/articles/vibecoding-is-about-trust
Keep Simple
We've Been Vibecoding Since 1995 | KeepSimple
Three eras of programming, one continuous skill — trust. Math went optional in the 90s, syntax goes optional now.
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Three skills decide whose career grows and whose stalls. None of them show up on the "future skills" lists consulting firms publish every year. :D
The first is ~ attention to detail ~
Decades of research on personality and work keep landing on the same finding: conscientiousness predicts job performance better than any other trait studied.
The second is the ~ ability to learn ~.
Most people stop learning around 30 and ride the skill stack they built in their twenties for the next thirty years. The World Economic Forum keeps reporting that the useful life of a technical skill is now around five years and shrinking.
The third is ~ ability to tame your ego ~
This is the prerequisite for the second. You can't learn something if your ego won't let you admit you don't know it yet.
Research on intellectual humility from Duke keeps showing that people who can openly say "I don't know this" perform better and earn more trust from their teams.
A lot of what looks like career stagnation between 35 and 50 is just an ego problem, really.
#career
The first is ~ attention to detail ~
Decades of research on personality and work keep landing on the same finding: conscientiousness predicts job performance better than any other trait studied.
The second is the ~ ability to learn ~.
Most people stop learning around 30 and ride the skill stack they built in their twenties for the next thirty years. The World Economic Forum keeps reporting that the useful life of a technical skill is now around five years and shrinking.
The third is ~ ability to tame your ego ~
This is the prerequisite for the second. You can't learn something if your ego won't let you admit you don't know it yet.
Research on intellectual humility from Duke keeps showing that people who can openly say "I don't know this" perform better and earn more trust from their teams.
A lot of what looks like career stagnation between 35 and 50 is just an ego problem, really.
#career
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We just shipped a huge update to UX Core on keepsimple.io
If you've never used it: it's a hands-on library that shows you which cognitive biases shape how people perceive your product, make purchase decisions, ignore your CTAs, or churn.
Two big things in this release:
👉 Every bias in the library now has a visual example inside its modal.
👉 The Persona module now maps the most common biases per country.
Details in the next two messages. 🌻
If you've never used it: it's a hands-on library that shows you which cognitive biases shape how people perceive your product, make purchase decisions, ignore your CTAs, or churn.
Two big things in this release:
👉 Every bias in the library now has a visual example inside its modal.
👉 The Persona module now maps the most common biases per country.
Details in the next two messages. 🌻
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Quick context: KeepSimple's UX Core is a free open-source library of cognitive biases used by anyone designing or shipping things to real users.
Until now, each bias had a definition and use cases. Reading is one thing, but seeing the bias in action is what makes it stick.
So we added a visual example inside every bias modal. Open any bias, scroll down, and you'll see how that specific bias can be used in product design to drive efficiency, improve conversion, reduce friction, or guide user attention where it matters.
This makes the library actually usable in the moment.
Try it here on Attentional Bias, for instance:
🔗 https://keepsimple.io/uxcore/2-attentional-bias
Until now, each bias had a definition and use cases. Reading is one thing, but seeing the bias in action is what makes it stick.
So we added a visual example inside every bias modal. Open any bias, scroll down, and you'll see how that specific bias can be used in product design to drive efficiency, improve conversion, reduce friction, or guide user attention where it matters.
This makes the library actually usable in the moment.
Try it here on Attentional Bias, for instance:
🔗 https://keepsimple.io/uxcore/2-attentional-bias
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We built a Persona module inside KeepSimple.io that shows you which cognitive biases are most relevant to your users based on where they live.
Here's what it does. You pick the country your product is entering, fill in a few persona details, and you get a ranked view of the cognitive biases most relevant to that audience, mapped against the available research data.
In practice, this means you don't have to ask your marketing or sales team to build a research-backed persona from scratch (which most teams can't do well anyway). You get a high-precision lens into where users in that market will hesitate, misread your product, or drop off.
We built this years before LLMs made "persona generation" a buzzword. It's been free the entire time.
🔗 https://keepsimple.io/uxcp
Be kind. Do good. 🌻
Here's what it does. You pick the country your product is entering, fill in a few persona details, and you get a ranked view of the cognitive biases most relevant to that audience, mapped against the available research data.
In practice, this means you don't have to ask your marketing or sales team to build a research-backed persona from scratch (which most teams can't do well anyway). You get a high-precision lens into where users in that market will hesitate, misread your product, or drop off.
We built this years before LLMs made "persona generation" a buzzword. It's been free the entire time.
🔗 https://keepsimple.io/uxcp
Be kind. Do good. 🌻
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Stanford's Digital Economy Lab published a paper last year tracking what's happening to early-career workers since ChatGPT launched. The team looked at payroll data from millions of US workers.
Workers aged 22 to 25 in the most AI-exposed occupations saw a 13% relative drop in employment compared to peers in less exposed roles. Seems like no one wants to hire juniors to learn the ropes by doing the boring stuff - as AI now does the boring stuff.
Companies make AI competence a load-bearing part of how they evaluate people.
So what happens to mid-career people in 5-7 years?
If companies stop hiring juniors at the same rate, the pipeline of people ready to step into senior roles dries up. IBM noticed this and announced they're tripling entry-level hiring in 2026, not out of generosity, but because slashing juniors saves money now and creates an expensive talent shortage later.
But ofc most companies dont do this, which means anyone currently sitting in the 3-8 year experience range is in a structurally rare position. That window will not stay open forever, but right now it's the most leverage you'll have in your career to negotiate scope, comp, and the kind of work you actually want to do.
#career
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Do you think Andrej Karpathy, the guy who coined vibe coding in the first place, uses the Claude app for his magic?) Spoiler: no.
What the Claude app gives you is, at most, around half of what the model can actually do. The reason is that a company building one product for millions of users aims for the average of what's possible, enough to fit most people and earn a fair return on the investment. Reasonable for them, and it leaves plenty on the table for you.
Which means there's more value out there for the taking, simply by stepping off what the market hands you by default and building something a bit more your own.
We put out a new piece on http://keepsimple.io that maps that whole climb, all the way to the point where you're basically running a small company of agents on your own.
#vibecodeing
https://keepsimple.io/articles/vibecoding-ladder-llm-agents
What the Claude app gives you is, at most, around half of what the model can actually do. The reason is that a company building one product for millions of users aims for the average of what's possible, enough to fit most people and earn a fair return on the investment. Reasonable for them, and it leaves plenty on the table for you.
Which means there's more value out there for the taking, simply by stepping off what the market hands you by default and building something a bit more your own.
We put out a new piece on http://keepsimple.io that maps that whole climb, all the way to the point where you're basically running a small company of agents on your own.
#vibecodeing
https://keepsimple.io/articles/vibecoding-ladder-llm-agents
Keep Simple
Applied Cognitive Science & UX for Management | Open-Source
Elevate your team with KeepSimple's free, open-source management frameworks and behavioral science tools designed for modern IT leadership.
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