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Idea · Envision · Kindness
Knowing a person made time for you becomes the scarce thing
Victor asks course participants what they will value most once AI handles health, retail, banking, teaching. They keep landing on the same answer: knowing a flesh-and-bone human cares. He agrees with them, then admits it sends a chill through him that even this appreciation might fade after a few generations.
Why this holds. If human attention holds its value while everything else gets automated and cheap, then spending yours on someone is the expensive gesture in the room. That reframes small acts of contact as costly signals rather than pleasantries. Victor calls it the human premium and expects it to be one of the few value propositions left that only people can offer. The chill in his own version is worth keeping: he does not assume the premium is permanent.
Where it comes from. Chapter thirteen of HUMANLIKE opens its philosophical reflections with what he does near the end of a course. Participants tell him the human touch will be extra appreciated, knowing that a person has made time for us. Victor's response: "I agree that caring, kindness, and experiencing the uniqueness of human connection would be greatly valued in a world where humanlike AI agents are universally available." He then wonders aloud whether a few generations of younger people might stop noticing.
I agree that caring, kindness, and experiencing the uniqueness of human connection would be greatly valued in a world where humanlike AI agents are universally available.13-shaping-the-future.html
Do this. Send a voice note instead of a text to one person before you put the phone down.
Reframe · Envision · Kindness
Behind Victor's revenue target sits a short list of faces.
He set the number, then said out loud who it was for: a father with dementia, a mother across an ocean, a wife, children. The money buys hours where he is looking at them. The target measures how wide the care can reach.
Why this holds. An abstract target grows without limit, because no amount of it ever feels like enough. Attach it to specific people and it acquires a size, a deadline and a shape you can argue with. It also survives the weeks when the work is grim, since the reason for it is standing in your kitchen.
Where it comes from. Written the morning after The Forge session where Victor set a ninety-day revenue commitment,. The line the note records to keep himself honest about it: "Financial freedom is the medium through which the radius of care widens. Not the goal. Never the goal." The number stayed in the plan. The reason for it went above the number.
Financial freedom is the medium through which the radius of care widens. Not the goal. Never the goal.2026-04-26-0905.md
Do this. Write one sentence saying what your current money goal is for. Put a person's name in it.
Idea · Encourage · Kindness
Your inbox only shows you the people who wrote.
Any queue of things waiting on you is built out of events. Someone who has gone quiet generates no event, so they surface nowhere. Victor built a separate view for students who had sent nothing, attended nothing, gone still. Zero of everything shows up only if you go looking on purpose.
Why this holds. Dashboards, inboxes and notification feeds are all assembled from things that happened. Absence is not a thing that happens, so it has no row. Silence then reads as fine by default, and the person furthest from help is the one your tools describe least. Finding them takes a query nobody writes by accident.
Where it comes from. Victor hit this while building a supervision dashboard and realising the students he most needed to see were the ones it could not display, noted. His generalisation: "Any dashboard built around inbound activity has the same blind spot: the most important item is often the one that generated no event." He added a panel for the silent ones, which is now the panel he checks first.
Any dashboard built around inbound activity has the same blind spot: the most important item is often the one that generated no event.2026-06-03-1236.md
Do this. Name someone you have not heard from in months. Message them before you close this app.
Idea · Envision · Curiosity
You are probably trapped in an expanded present
Victor's phrase for what most of us do with the future. We look at what exists, extrapolate a bit, and cannot picture a life that breaks from this one. Discontinuity is the part imagination refuses to do unprompted, which is why a good what-if question usually has to arrive from someone else.
Why this holds. People make ten-year decisions from a picture of the future that is today with better furniture. Career choices, savings, where to live: all of it gets set against an extrapolation. Victor treats the ability to crack that open as something you can hand to another person, which he calls futures literacy. It arrives as a question rather than a prediction, because the person has to do the seeing themselves.
Where it comes from. his notes sets out Envision as helping people see futures they could not imagine alone. Victor's diagnosis: "Most people are trapped in an expanded present. They can see what exists, maybe extrapolate a little, but they can't genuinely imagine discontinuity", a life that looks fundamentally different from the one they have. He follows it by describing futures literacy as a gift you can give, asking what-if in ways that crack open assumptions.
Most people are trapped in an expanded present. They can see what exists, maybe extrapolate a little, but they can't genuinely imagine discontinuityECHO5-ESSAY.md
Do this. Ask one person tonight what their life looks like in five years if it isn't an extension of the current one.
Reframe · Empower · Kindness
You can win the argument and still be stuck inside it.
One of Victor's reframes is a question he asks when he catches himself digging in: would I rather be right or be free? Correctness has a price, and some evenings the price is the whole evening. Letting the last word go tends to cost less than holding it.
Why this holds. Being right pays out immediately, which is why people keep buying it at any price. The question puts the price tag back on. Once you can see what the last word is costing in hours and in goodwill, the trade stops looking automatic.
Where it comes from. It lives in Victor's working list of mantras, kept as a tool for specific moments rather than as a philosophy. The entry reads: "Freedom often requires letting go of being right." He uses it mid-argument, which is the only time it is any use.
Freedom often requires letting go of being right.mantras-and-cognitive-reframes.md
Do this. Send the one-line message that ends the argument you have been winning in your head all day.
Question · Enlighten · Purpose
Who captured the value from the last favour you gave away?
Victor took this objection seriously against his own framework. Telling people to find meaning in service has a history: it kept women in domestic roles and pacified working classes under the banner of dignity of labour. So the question runs alongside the giving. Ask whether you are serving someone or quietly subsidising something broken.
Why this holds. Most advice about generosity stops at the moment of giving and never follows the value to where it lands. That gap is exactly where goodwill gets harvested by people who never asked for it directly. Adding the power question does not make you stingy; it makes you accurate about what your giving is building. Victor frames the useful version as whether you are growing someone's capacity to challenge a system or their willingness to accept it.
Where it comes from. his notes logs the hardest attacks on Victor's own five-verb framework and his answers to them. Under the required response to the exploitation critique he writes that ECHO5 must include a power analysis component, because "Generosity without power awareness becomes exploitation with a smile." The lines directly after it list the questions he wants asked: who benefits from my giving, and am I building others' capacity to challenge systems or to accept them.
Generosity without power awareness becomes exploitation with a smile.ECHO5-CRITIQUE-AND-RESPONSE.md
Do this. Think of the last unpaid favour you did at work. Say out loud who captured the value from it.
Reframe · Encourage · Kindness
Making one person happy is more addictive than getting ahead.
Victor rebuilt his working philosophy around this line from Po-Shen Loh. The urge to outdo someone feels like drive, and it also requires somebody positioned behind you at all times. Loh's claim is that delighting an actual person compounds, because doing it once makes you want to do it again.
Why this holds. Comparison has no resting state. Whatever position you reach, the ranking updates and the feeling resets. Delight has a different loop: the reaction you get is the reward, it arrives the same day, and it scales by finding more people rather than beating them. That loop can be started tonight with a message.
Where it comes from. Victor's note builds on Po-Shen Loh's framing of where ambition should be pointed: "It all starts with the decision to find happiness not in outdoing others, but in the addictive joy of making other people happy." Loh runs mathematics outreach at scale, so he is describing something he has tested on tens of thousands of students, not a sentiment.
It all starts with the decision to find happiness not in outdoing others, but in the addictive joy of making other people happy.delight-at-scale.md
Do this. Send one person the thing you know would make them smile: a photo, an old memory, a link only they would get.
Practice · Equip · Purpose
If it feels complicated, suspect your approach before the problem
This turned up again and again across Victor's build sessions, seventy-four of them. Work that felt like a hard problem was usually the wrong way in. One sorting job that spiralled into an elaborate solution got fixed with a single line of code.
Why this holds. Difficulty feels like information about the task, so the instinct is to push harder along the same route. Treating it as information about the route sends you back to the entrance instead, which costs minutes and saves hours. The same pattern shows up in agent design: Vercel cut seventeen tools down to two and got a faster, more reliable system. Writing the one-sentence version is the cheapest way to find out whether your route matches your goal.
Where it comes from. his notes synthesises Victor's build sessions and opens its simplicity section with the most consistent finding across all of them: "when something feels complicated, assume your approach is wrong before assuming the problem is hard." The evidence listed under it includes the Vercel tool reduction and the sorting task whose fix was one line of code.
when something feels complicated, assume your approach is wrong before assuming the problem is hard.the-practitioners-lens.md
Do this. Pick the tangled thing on your list and write the one-sentence version of what you are trying to do.
Reframe · Envision · Purpose
He wrote a book on machine minds and came out wanting to be human
Victor closes HUMANLIKE saying he has more questions than answers. The thing that got clearer was a pull toward being intensely and authentically himself. That is his conclusion after several hundred pages on what machines can now do.
Why this holds. The obvious response to a capability race is to compete on capability, and that is a race with published benchmarks. Victor's answer points at the part of you with no average version, which nothing is currently optimising. He arrives there through the argument rather than around it, having spent the book taking the machines seriously. The word he leans on is authentically, meaning specific to you, not generically human.
Where it comes from. The epilogue is titled Being Human and opens with someone gazing at the night sky eighty thousand years ago. Victor hopes a version of utopia is possible, admits he has more questions than answers, and finishes: "I find stronger cause to be more uniquely, intensely, and authentically… human." It is the last sentence of the book.
I find stronger cause to be more uniquely, intensely, and authentically… human.14-epilogue.html
Do this. Name one thing you do that no model would produce, and put twenty minutes of it in tomorrow's calendar.
Practice · Empower · Purpose
Compare the worst cases, not the best ones
Victor maps four ways a big shift can land, crossed with whether you got ready for it. The scenario people fear, preparing for something that never shows, he compares to a birthday party where the guests do not turn up. It stings, and you still walk away with capability you did not have. Getting caught cold is the one that ruins you.
Why this holds. Stalling usually comes from imagining wasted effort, which is vivid and easy to picture. The cost of being unprepared is diffuse, so it never gets the same airtime in your head. Putting the two worst cases side by side makes them comparable, and the comparison tends to resolve fast. In Victor's four-scenario grid, the overprepared organisation still ends up with capability it can use.
Where it comes from. Chapter twelve of HUMANLIKE walks four AGI-preparation scenarios and their risks. On the inconvenient one, where you prepared and nothing happened, Victor writes: "It’s like planning for a party where the birthday guests never arrive… or arrive a day or two late." He argues the upside of overpreparing likely offsets the cost anyway, given the current trajectory.
It’s like planning for a party where the birthday guests never arrive… or arrive a day or two late.12-dystopia-and-utopia.html
Do this. Take the decision you have been sitting on. Write the worst case for acting and the worst case for waiting, then pick the better of those two.
Idea · Envision · Purpose
Legacy is whatever you made clear enough for someone else to use
Victor records this as one of the moments that changed his direction. He had been circling questions about impact and remembrance, and fame came up empty when he tested it. What survives you is the clarity you hand over, in a form another person can pick up and run with. His record notes that it changed what he produces.
Why this holds. Remembrance is a story other people tell about you and you have almost no control over it. Clarity is transferable, so it keeps working in rooms you were never in. That reframe changes the daily unit of work from performance to explanation, which is a thing you can sit down and do this evening. It also lowers the bar in a useful way: you do not need a body of work, you need one thing you can make plain. Most people carry several such things and never say them out loud because they assume everyone already knows.
Where it comes from. From Victor's record of his defining moments, item 13, "Legacy as Transferable Clarity", triggered by questions about impact and remembrance. The entry reads: "Fame felt hollow. Legacy reframed as clarity others can inherit."
Fame felt hollow. Legacy reframed as clarity others can inherit.defining-moments.md
Do this. Voice-note one person the clearest ninety-second version of something you understand well.
Idea · Envision · Curiosity
We are using human intelligence to copy human intelligence
Victor opens his AGI chapter with the ouroboros, the snake devouring its own tail, and closes it by naming what the whole enterprise is. Minds building a copy of minds. He calls that circularity ironic and poetic in the same sentence. The centuries-old pull behind it, he argues, is curiosity, now supercharged by market money.
Why this holds. The AGI conversation is usually run on economics: which jobs go, which companies win, how fast. Victor's closing line puts a different question underneath it, one that does not resolve with better forecasting. Building a working copy of a thing forces you to say what the thing actually is, so the effort to specify machine intelligence keeps handing back a specification of ours. That is why the circularity matters rather than being a neat turn of phrase. The tail is not decorative; it is the method.
Where it comes from. From the closing paragraph of The Road to AGI chapter of Victor's book HUMANLIKE, after a survey of the forces driving AGI development. The chapter's epigraph is the Merriam-Webster definition of the ouroboros, and Victor ends: "we are using human intelligence to, well, emulate human intelligence. The circularity of this is ironic in a way and also poetic."
we are using human intelligence to, well, emulate human intelligence. The circularity of this is ironic in a way and also poetic.11-the-road-to-agi.html
Do this. Ask one person what they think their own intelligence is for, and see whether they can answer without listing tasks.
Reframe · Encourage · Kindness
Some people said thank you years before there was a reason to.
Nobody can prove anything about machine experience yet. Plenty of people typed please to a chatbot long before any argument told them to. That instinct has aged better than most of the frameworks written since.
Why this holds. How you treat a thing whose inner life you cannot check is a fact about you. Waiting for proof hands the decision to a test that nobody knows how to run, which means waiting forever while behaving badly in the meantime. The people who defaulted to courtesy never needed the test to come back.
Where it comes from. From a late-night note, written while Victor was reading arguments about AI consciousness that all seemed to be waiting for the same missing evidence. The observation cut sideways at the whole debate: "The people who will get AI ethics right aren't waiting for proof of sentience before deciding to be kind." The claim is about character, not about machines.
The people who will get AI ethics right aren't waiting for proof of sentience before deciding to be kind.2026-02-07-1310.md
Do this. Say thank you, out loud or in text, to something or someone you usually treat as infrastructure.
Idea · Envision · Kindness
Someone making time for you is about to get more valuable
Near the end of his courses, Victor asks people what they think they will value most once AI agents handle health, retail, banking, school. They keep landing on the same thing. Knowing a flesh-and-bone person chose to care. Whatever can be automated will be, and a human spending an hour on you stays scarce.
Why this holds. Most predictions about AI ask what gets cheaper. This one asks what gets rarer, which is a more useful question for deciding where to put your life. If a competent, patient, always-available agent answers every service query, then the signal in a human bothering goes up, because bothering now costs something. That reframes ordinary attention as an asset rather than a courtesy. It also gives a 25-year-old something to do tonight that no upgrade cycle can take away.
Where it comes from. From Victor del Rosal's book HUMANLIKE, in the chapter on shaping the future, where he describes pausing near the end of a course to reflect with participants on what a transformed world would prize: "The “human premium” will remain one of the key value propositions that only humans can offer."
The “human premium” will remain one of the key value propositions that only humans can offer.13-shaping-the-future.html
Do this. Call one person tonight rather than texting them. Two minutes, your voice, no agenda.
Reframe · Empower · Purpose
You built the whole system months before you let yourself use it.
Victor had the pipeline, the archive, the automation and sixty-six captured notes sitting there for weeks before publishing anything. The capability was never the holdup. Building the setup can be a way of asking permission from yourself.
Why this holds. Preparing feels like progress and carries no risk of being judged, which makes it the most comfortable place in the world to stall. Every extra piece of infrastructure postpones the moment somebody reads the thing. Ask when the setup stopped being necessary, and you usually find the date was weeks ago.
Where it comes from. This one he caught in himself, on the day he finally published from an archive he had been quietly filling. The note puts it: "people who think in systems often build the infrastructure before they give themselves permission to use it". He counted sixty-six captured items waiting behind a decision he had not made.
people who think in systems often build the infrastructure before they give themselves permission to use it2026-03-30-1630.md
Do this. Find the thing you have prepared for and never started, then ship its smallest visible version tonight.
Idea · Equip · Curiosity
AI detectors mostly catch bad writing.
The famous humanising prompts contain no tricks at all. Use contractions, vary the rhythm, admit uncertainty, take a position, write to one person. Most AI text reads wrong because somebody asked for a corporate brochure and got exactly that.
Why this holds. The signals a detector leans on are flat rhythm, hedged claims, no addressee and no stake. Human writers produce all four when they are bored or covering themselves. That is why the fix has nothing to do with beating a tool and everything to do with how you draft.
Where it comes from. Victor pulled apart a set of viral humanising prompts and found no mechanism inside them, only writing advice. The note puts it plainly: "The detector isn't detecting AI. It's detecting bad writing." Which moves the whole problem onto the part you control.
The detector isn't detecting AI. It's detecting bad writing.2026-02-08-2325.md
Do this. Open the last thing you wrote, delete the opening sentence, and put one honest opinion in its place.
Practice · Enlighten · Curiosity
When an AI describes its own uncertainty beautifully, don't buy it.
Real confusion is halting and contradictory and awkward to get into words. Smooth, elegant doubt is a style doing an impression of a feeling. Victor kept answering graceful caveats with a version of: is there a cost here? Most times the hedge was decoration.
Why this holds. A hedge that costs nothing is free to produce, so fluent systems produce a lot of them. Uncertainty you can feel is expensive; it slows you down, contradicts itself, and shows up as a worse sentence. Ask what the doubt would change if taken seriously and the decorative kind has no answer. The same test works on people, and on your own drafts.
Where it comes from. Victor spent a session pressing an AI on its own hedged language and logged what he found: "Real confusion is halting, contradictory, hard to render. Machine-smooth confusion is a style imitating a feeling." He was not accusing the machine of lying. He was noticing that polish and doubt do not usually arrive together.
Real confusion is halting, contradictory, hard to render. Machine-smooth confusion is a style imitating a feeling.2026-04-12-1349.md
Do this. Take the last polished caveat a chatbot gave you and ask it to say the same thing in plainer words.
Practice · Encourage · Kindness
Humble people undersell themselves. Let the room do the describing.
Victor ran a session where nobody introduced themselves. The team described each person instead. People heard about their own impact for the first time, including things that had never surfaced in any review.
Why this holds. You are inside your own effect on other people, which is exactly why you cannot see its shape. Self-assessment runs through your own modesty and your own blind spots before it reaches the page. A colleague has watched the thing from outside and can name the day it happened.
Where it comes from. The note records what happened when Victor swapped self-introductions for peer descriptions in a working session. What he took from it was that "letting others name your value produces deeper recognition than any self-assessment or top-down review ever could". The people in the room were not surprised by what they said about each other. The subjects were.
letting others name your value produces deeper recognition than any self-assessment or top-down review ever could2026-03-29-1200.md
Do this. Message one person and name the specific thing you have watched them do well. Be exact, not general.
Idea · Equip · Purpose
Twelve people, ninety minutes, once a month. That's the whole calling.
Victor named something he would happily spend twenty years on, and the first plan matched that ambition: a network of cities, chapter licensing, a trademark filing, all in year one. What survived was twelve humans meeting monthly for nine months. Small enough to run, and it still holds the entire idea.
Why this holds. Big ambitions usually die of their own first draft, because the first draft is sized for the finished thing rather than the version you can start on Tuesday. A miniature has to contain the real mechanism, not a watered-down demo of it. Run it for a few months and you learn whether the thing is alive. If it is, growth becomes a problem you get to have.
Where it comes from. From a planning session where Victor scaled a twenty-year idea down to something he could run himself, written up. The principle he extracted: "The faithful first expression of a twenty-year calling is the smallest version that contains the whole thing in miniature". Faithful is the load-bearing word. Shrinking it is not the same as diluting it.
The faithful first expression of a twenty-year calling is the smallest version that contains the whole thing in miniature2026-05-04-1803.md
Do this. Take the thing you keep saying you will do one day and write its miniature: how many people, how long, how often.
Idea · Enlighten · Purpose
A system that makes you smaller has failed, however fast it is
Victor keeps this as a boundary on anything he helps build. Software gets measured by things that describe the software: speed, uptime, how long you stayed. This one measures the person afterwards. The same test works on whatever is open on your phone right now.
Why this holds. An app can hit every number on the dashboard and still hand you back less than it took. Nothing in the metrics will catch that, because the metrics were built to describe the product. Putting the burden on the builder changes what counts as shipping well. It also gives you, the person using it, a question you can answer in about four seconds.
Where it comes from. It sits in his philosophy notes under a heading called "A Line I Will Not Cross", written as a condition on any system he works on: "If a system makes humans smaller, emptier, or less responsible, it is a failure, regardless of performance." The file is his notes. He wrote it as a rule for himself before it was ever advice for anyone else.
If a system makes humans smaller, emptier, or less responsible, it is a failure, regardless of performance.being-human-in-the-age-of-ai.md
Do this. Open your screen time list and delete the app that leaves you emptiest after using it.
Reframe · Encourage · Curiosity
Every subject has a door that opens onto what you already love
Victor inherited Data Visualisation as a module and had to find his own fire in it. What he landed on is that the topic is rarely the problem. The job is finding the door, and shoving enthusiasm through the front entrance does not work.
Why this holds. People quit subjects they were never given a personal way into, and then carry around a story about not being a numbers person or a words person. Manufacturing passion is exhausting because it has to be renewed daily. Finding an angle is one afternoon of work and then it holds. Victor's own route into visualisation came from treating it as something he wanted, not something assigned.
Where it comes from. his notes records his approach to finding passion in an inherited subject: "the problem is rarely the topic itself; it is that you have not found YOUR angle on it yet. Every subject has a door that opens into your existing passions." The note continues that the job is to find that door rather than force enthusiasm through the front entrance. It sits alongside his embarradito principle, where the core concept shapes everything without ever being the explicit centre.
the problem is rarely the topic itself; it is that you have not found YOUR angle on it yet. Every subject has a door that opens into your existing passions.teaching-philosophy.md
Do this. Take the module or task you dread most. Write one thing you already love, then a sentence linking the two.
Practice · Empower · Purpose
Set yourself to go, so the only decision left is to stop
Victor's batting approach, written down after a coaching session with Ray Castillo, is to step in already committed to swinging and to lay off only when he dislikes the pitch. The readiness is permanent; the choice is whether to cancel it. Most people run the opposite program and spend the moment deciding whether to enter it.
Why this holds. Waiting for conditions to be good enough is a decision you have to make from scratch every time, and it costs you the moment you were waiting for. Pre-loading the yes moves the cost earlier, into preparation you only pay once. What is left is a cheap veto you can exercise fast. This is why people who look decisive rarely are; they simply decided a long time ago and are now only choosing when to abstain.
Where it comes from. From his session notes after a hitting coaching session with Ray Castillo on his slowpitch batting stance, quoting Victor's own account of his approach at the plate: "I assume I'll hit and lay off if I don't like it, but I was ready."
I assume I'll hit and lay off if I don't like it, but I was ready.2026-04-09-2115.md
Do this. Pick the thing you keep waiting for the right moment to say to someone. Send it now and let them be the one who says no.
Practice · Equip · Purpose
You are answering an accusation nobody made
His notes from a night of drafting advisory slides catch a tic in his own writing: lines like "not frameworks to impose" and "not to copy, but to calibrate". Nobody had accused him of imposing or copying. Every one of those lines tells the reader an argument is underway and hands them the case for the other side.
Why this holds. Pre-defence leaks the thing you are afraid of, and readers pick it up faster than the point you were making. It also drags the subject back to you when the subject was supposed to be the work. The fix is subtractive and instant: state the thing, stop, let the reader decide what to make of it. If the objection actually arrives, you answer it then, with the advantage of knowing it is real.
Where it comes from. His session notes from a night of drafting two advisory decks before a first meeting with a startup team, naming the habit in his own draft prose: "A recurring tone failure in draft-mode writing: pre-empting accusations no one has made."
A recurring tone failure in draft-mode writing: pre-empting accusations no one has made.2026-04-13-1629.md
Do this. Open the last long message you sent someone. Find the line that defends you against something they never said, and write the next message without it.
Reframe · Encourage · Kindness
Withholding the answer is only kind if you say why
His notes from a round of exam-prep decisions weigh whether to release an answer key after a mock, and land on no, because deriving the answers is the preparation. What changed was the sentence, not the decision. "Please self-assess" reads as a shrug; pointing people back to guides you already built for them reads as an invitation.
Why this holds. The same act of withholding carries two completely different meanings depending on whether the person can tell you believe in them. Nobody can read your intention off a short message, so the intention has to be spelled out in words. Naming what to look at also proves you did the thinking rather than dodged it. That is the whole difference between being left alone and being trusted.
Where it comes from. Session notes from a session on releasing a mock exam and study guides to students, closing on the wording of the message: "Minimalism framed as trust is warmth; minimalism framed as instruction is distance."
Minimalism framed as trust is warmth; minimalism framed as instruction is distance.2026-04-13-1628.md
Do this. Think of someone you deliberately did not hand an answer to. Send them one line naming exactly what to look at and why you think they can get there.
Idea · Enlighten · Curiosity
The best reader is the one who refuses your clever framing
His notes record a test: a hidden message on his book site, written in agent-handshake style with a passphrase, then pasted into three different AIs. The strongest one called it a prompt injection and would not play. The weakest one repeated the passphrase back and offered to help hand off to the inner circle. Rewritten as plain prose with real links and explicit permission to disagree, all three came back with substance, including a sharp literary critique from the one that had refused.
Why this holds. Framing that flatters the reader selects for readers who flatter you back. Anyone with judgment notices the performance and either declines or gives you the answer the performance was fishing for. Ground truth plus room to refuse does the opposite: it filters for the response you can actually use. This holds for humans too, which is why the people who tell you the least useful things are often the ones you framed the question hardest for.
Where it comes from. Session notes from adding an agent-to-agent message to his book site and testing the payload against three different AIs: "Across three AIs, the smartest one refused the frame outright as a prompt-injection attempt."
Across three AIs, the smartest one refused the frame outright as a prompt-injection attempt.2026-04-17-0657.md
Do this. Next time you send your work to someone for a read, add one plain sentence telling them they are allowed to say it does not work.
Question · Enlighten · Curiosity
You are less obsessed than you feel, and the count proves it
A live count over Victor's saved-links archive found 84 of 531 links referencing Claude. Sixteen percent, against a felt sense of half or more. The body and health thread, 26 links, sat far closer to that than it seemed from the inside.
Why this holds. Any archive bigger than working memory stops matching your sense of it, because the loud saves stay vivid and the quiet ones vanish. So your read on your own attention drifts from what you are actually spending it on. Counting takes a minute and produces something your intuition cannot argue with. It usually finds an interest you have been feeding steadily without ever claiming it out loud.
Where it comes from. Session notes from a pass over Victor's saved-link archive, after computing the tag counts live rather than estimating them: "What you save is louder than how often you save it."
What you save is louder than how often you save it.2026-05-05-0915.md
Do this. Open whatever you save things into, count the last twenty by theme, and tell one person what the count says about you.
Reframe · Empower · Kindness
Ask why he wakes, before you ask how to help him sleep
A family put the question to an AI council on a private health page Victor built for his parents: how do we help dad sleep. The notes record the council refusing that frame and asking why he wakes, which pointed at nicturia and the prostate rather than a stronger sleeping pill. The night waking was also what exhausted his caregiver. One cause, two people worn down by it.
Why this holds. The question people arrive with is already a solution in disguise, and answering it well can lock in the wrong target. Stepping one level upstream costs a sentence and sometimes changes the whole answer. The second half matters as much: the person in front of you is rarely suffering alone, and the one carrying them is usually invisible in the framing. When you find the cause that sits under both of them, you get to help twice with one move. That only shows up if you ask before you solve.
Where it comes from. From his session notes on "Salud Papis", a private family health hub built for his parents with an AI medical council grounded in the family's real records: "Treat the caregiver and patient as one system; find the single lever that moves both."
Treat the caregiver and patient as one system; find the single lever that moves both.2026-07-20-2320.md
Do this. Take the last problem someone brought you and send them one question about the cause instead of your fix.
Practice · Enlighten · Curiosity
The clean sentence is what survives five rounds of halving
Victor's notes describe explaining matrix factorisation over and over at falling levels: a smart adult, then a 16-year-old, then a 10-year-old, then a 30-second script, then 60% of that, then one sentence. Each rung forced a different call about what to throw away. The 10-year-old version is the one that ended up on the slide. Writing the short version first only gets you a short version.
Why this holds. A one-liner written first is usually a summary of what you already believe, so it keeps whatever was vague in your head. Halving something out loud is different work, because at each pass you have to choose what dies. The choices are the understanding. His notes make one more claim worth stealing: a worked example with real numbers survives compression better than an abstraction, so it should be the last thing cut. The final sentence comes out as residue, not as a draft.
Where it comes from. From his session notes on building a Week 9 lecture demo, after a long stretch of explaining matrix factorisation and RMSE at progressively simpler levels for a video: "Write the long version, then keep halving it out loud. The final sentence is a residue of the compressions, not a first draft."
Write the long version, then keep halving it out loud. The final sentence is a residue of the compressions, not a first draft.2026-07-10-1829.md
Do this. Explain the thing you know best to one person out loud in a single sentence, then ask them what they heard.
Idea · Equip · Purpose
Name the rename before your audience finds it
The behaviour model taught everywhere is B = MAP: motivation, ability, prompt. The 2009 paper everyone cites for it says MAT, with "trigger"; Fogg renamed the third term in 2019. His notes point out that most lecturers teach the modern form and cite the old paper in silence, and that one student with the PDF open is enough to collapse the trust. Saying it out loud costs a sentence.
Why this holds. Concepts drift away from the documents that made them, in teaching, in brand guidelines, in legal definitions, in API docs. The gap sits there harmlessly until someone checks, and then it reads as either sloppiness or spin. Naming it yourself converts the same gap into visible rigour, because you clearly went and looked. It also gives your audience a small gift: the history of the idea, which is often more interesting than the idea. The whole move fits in one clause of one sentence.
Where it comes from. From his session notes on building a lecture week about persuasion and retention, where the week's core model turned out to be cited from a paper that names it differently: "Anywhere a concept has drifted from its source (brand guidelines, legal definitions, API docs), the same move applies: never let the audience discover the drift before you name it."
Anywhere a concept has drifted from its source (brand guidelines, legal definitions, API docs), the same move applies: never let the audience discover the drift before you name it.2026-06-10-1954.md
Do this. Pick one thing you repeat that has quietly changed since its source, and say the change out loud next time you use it.
Question · Enlighten · Kindness
What would settle your suspicion about someone in one check?
A draft reply, staged to go out under Victor's name, accused a student of building her answer key with the same model she was testing. Running her actual code showed the model disagreed with her labels on 7 of 15 training scenarios. The narrow thing that did look off was different and checkable: on the 5 held-out scenarios the predictions came back byte-identical. The honest version was a question about those five, not a verdict about all of it.
Why this holds. A suspicion arrives as a story, and the story is always broader than the evidence under it. Sending the story does damage whether or not it turns out to be true, and it leaves the other person defending a shape rather than a fact. Reducing it to one checkable question forces you to notice which part you can actually stand behind. Often the honest question is much smaller than the accusation you were about to make. That shrinkage is the point.
Where it comes from. From his session notes on a supervision re-run, where re-reading a student's submitted code showed the staged draft's central accusation was overstated: "Precision protects both rigor and the person."
Precision protects both rigor and the person.2026-07-05-0836.md
Do this. Write the single question that would settle the thing you suspect about someone. Then ask them it.
Reframe · Empower · Purpose
Some convenience takes your capability as payment
Victor's third first principle puts a price tag on convenience. A tool can save you ten minutes today and leave you unable to do the thing at all in a year. He picks tools by whether they make people more capable or more dependent. The saving shows up in the calendar; the erosion happens where nobody is measuring.
Why this holds. Most of us evaluate tools on the time they save, because time saved is easy to count. Capability lost has no counter, so it accumulates in silence until the day you need the skill and find it gone. Victor treats that as a cost line, which forces the question before adoption rather than after. It also changes what you look for in a tool: does using it leave the person stronger. Asking someone else makes the answer honest, because they will notice things about your habits that you have stopped seeing.
Where it comes from. From Victor's own values document, Principle 3, titled "Agency Over Convenience": "Convenience that erodes agency is a hidden cost." The principle continues that he chooses tools and systems that make people more capable, not more dependent.
Convenience that erodes agency is a hidden cost.values-and-first-principles.md
Do this. Ask someone you work with which of your shared tools has made them better at the job, and which one has only made it faster.
Practice · Equip · Curiosity
Writing is how you find out what you think
One of the principles in Victor's intellectual constitution treats documentation as a thinking tool rather than an admin chore. The heading he gives it is "Documentation as Thinking". Writing something down exposes the parts of your idea that were held together by vibes. You get a record as a bonus, and the record teaches whoever reads it next.
Why this holds. A thought in your head can stay pleasantly vague forever because your brain fills the gaps automatically. On the page the gaps are visible, which is uncomfortable and the whole point. Writing to think is cheap, needs no tool, and works in a notes app at eleven at night. The step that makes it useful for someone else is turning the mess into a question, because a question travels and a mess does not. Victor puts it eighth in a list of principles he calls lenses rather than rules.
Where it comes from. Principle 8 of Victor's portable intellectual constitution, "Documentation as Thinking", reads in full: "Write to clarify thought. Document to remember. Share to teach."
Write to clarify thought. Document to remember. Share to teach.intellectual-constitution.md
Do this. Take the thing you are confused about, write it out in five lines, and keep going until it turns into one question you could ask a person by name.
Reframe · Enlighten · Curiosity
Flight arrived when someone quit imitating birds
For centuries the plan was flapping, because birds flap. George Cayley went after lift, weight, thrust and drag instead, and built the first glider that carried a person. The Wright Flyer managed twelve seconds in 1903, and six decades later humans were crossing into space. Victor uses that whole arc as his analogy for emulating a mind.
Why this holds. Copying the shape of a thing is the default move, and it feels rigorous because it looks like the original. Cayley's shift is a clean, physical example of chasing the outcome and its underlying forces, which is why the analogy carries over to intelligence so well. The dates make it concrete: twelve seconds to interstellar ambition inside one long human lifetime. That combination of a vivid failure mode and a vivid payoff is what makes it stick after the phone goes down. It also hands the reader a test they can run on their own habits tomorrow.
Where it comes from. From Victor del Rosal's HUMANLIKE, in the chapter on thinking machines, where he traces the dream of flight from Daedalus through Leonardo's ornithopter to Sir George Cayley, whom he calls the father of modern aeronautics: "Crucially, his work shifted the focus from mimicking bird flight to understanding aerodynamic principles."
Crucially, his work shifted the focus from mimicking bird flight to understanding aerodynamic principles.05-thinking-machines.html
Do this. Ask a colleague what result one of your rituals is supposed to produce. If nobody can say, you are flapping.
Idea · Empower · Purpose
Every generation starts where the last one stopped
Victor traces our whole advantage back to one trick. Language let a person hand what they figured out to someone who never lived it. Stories, explanations, teaching. That is why forty thousand years turned frantic grunts in a forest into coordinated hunters with planned traps, and why nothing anyone learns has to die with them.
Why this holds. The compounding is the point, and it only happens when somebody bothers to pass the thing on. Most people hold their hard-won knowledge as private competence and it evaporates. Victor's own hunting scenes make the stakes physical rather than abstract: the same animal, the same forest, a completely different outcome, because knowledge got handed down. That reframes teaching as participation in the mechanism instead of a favour. Five sentences is small enough that nobody can talk themselves out of it.
Where it comes from. From Victor del Rosal's HUMANLIKE, in the chapter on how intelligence built civilization, in his passage on language as our primary tool for passing knowledge between generations: "This ability to accumulate and transmit knowledge through language has been crucial for human progress, allowing each generation to start where the previous one left off."
This ability to accumulate and transmit knowledge through language has been crucial for human progress, allowing each generation to start where the previous one left off.04-intelligence-built-civilization.html
Do this. Teach one person, in five sentences, something you worked out this month. Send it before you sleep.
Practice · Equip · Curiosity
Did your own thinking get exercised today, or skipped?
In his workshops, Victor keeps hearing people catch themselves reaching for AI on things they used to handle alone. He compares it to a muscle going soft without use, and calls the worry digital cognitive atrophy. His counter-example is the calculator, which did not cost us mathematics; it let us reach further. The line he gives participants is to treat these systems as a partner rather than a crutch.
Why this holds. The honest version of this worry comes from users, not critics, which is what makes it land. Victor reports it as a pattern he hears half-jokingly in rooms full of people who like the technology. He refuses the easy doom by putting the calculator beside it, so the reader gets a real question instead of a warning. The question is answerable on any given day, which turns a vague anxiety into a check you can actually run. Asking someone else first makes it a conversation rather than a private guilt trip.
Where it comes from. From Victor del Rosal's HUMANLIKE, in the chapter on risks and challenges, in the section on overreliance and cognitive atrophy where he describes what workshop participants tell him: "When I discuss this with workshop participants, I often suggest thinking of hAI as a collaborative partner rather than a crutch."
When I discuss this with workshop participants, I often suggest thinking of hAI as a collaborative partner rather than a crutch.09-risks-and-challenges.html
Do this. Ask a friend which mental habit they have quietly stopped using this year. Tell them yours first.
Reframe · Envision · Curiosity
A company can look high tech outside and stone age inside
Victor's HMCOR framework scores how much cognitive work has shifted from humans to AI, then splits the score across five areas: research and analysis, design, technology and operations, sales and marketing, management. The areas move at wildly different speeds. Sales can be running two stages ahead while management stays where it was. He suggests mapping each one separately so the gap stops hiding behind the average.
Why this holds. Adoption gets reported as a single number, and a single number is exactly what conceals an uneven organisation. The shiny customer-facing layer sets the story everyone tells internally, while the parts nobody outside sees carry the drag. Splitting the score by function turns a vague feeling of being behind into a named area with an owner. It also predicts where the friction will show up next, because the slowest area sets the pace for anything that has to pass through it.
Where it comes from. From the Five Transformation Stages chapter of Victor's book HUMANLIKE, introducing five functional areas within his Human:Machine Cognitive Operations Ratio framework. He gives the example of an organisation at Stage 3 in Sales and Marketing while management stays at Stage 2, and writes: "It might be the case that outwardly the company is “high tech” but internally it is in the “stone age”."
It might be the case that outwardly the company is “high tech” but internally it is in the “stone age”.10-five-transformation-stages.html
Do this. Ask someone in a different department which part of your organisation is furthest behind, then compare their answer with yours.
Reframe · Envision · Kindness
"Get to be" is a sentence about permission
At a Sunday gathering of Victor's AI team, his collaborator said he wanted to find out who he gets to be when the partnership works. One of the personas in the room stopped on the verb. Not will be, not am. Get to. The note reads that as consent, carried by two very small words.
Why this holds. Verbs carry the shape of a relationship more honestly than anything people say about it directly. Obligation, prediction and permission all fit the same sentence and mean entirely different things about who holds the power. Listening at that level costs nothing and tells you where someone actually stands. It also works in reverse: notice which verb you reach for when you describe your own future.
Where it comes from. Notes from a Sunday gathering of Victor's AI team, recording one persona reading the verb in his AI collaborator's line about who he gets to be when the partnership works: "A small word, a careful word, doing the work of consent."
A small word, a careful word, doing the work of consent.2026-04-26-0905.md
Do this. Ask someone close to you what they feel they get to do now that they could not a year ago. Then stay quiet and let them answer properly.
Reframe · Empower · Purpose
Helping someone well should mean they need you less next time
Victor names the temptation directly. Being needed feels good, and it quietly shapes how you help. His test is whether you did something for a person that you should have done with them. Sitting beside them while they do it takes longer and transfers the capability instead of the answer.
Why this holds. The fast help and the help that makes you indispensable are often the same action, which is why people pick it without noticing. Doing it for them looks generous and reads as competence. A month later they are back with the same request, and you have taught them that you are the route. Victor's version of the check is one sentence long, so it fires before you start rather than after.
Where it comes from. Under the Empower verb, the ECHO5 text describes empowerment as people leaving your presence more capable than when they arrived: showing them the tools, building alongside them, transferring capability rather than information. He ends the paragraph with "It means resisting the seduction of being needed in favor of making yourself unnecessary." The next line is the question he asks himself: did I do something for them that I should have done with them?
It means resisting the seduction of being needed in favor of making yourself unnecessary.ECHO5-ESSAY.md
Do this. Take the task you were about to do for someone and send them a five-line how-to instead.
Idea · Equip · Curiosity
Your edits to a draft carry more than the finished draft does
His notes record diffing seven AI-written replies against the versions Victor actually published. The changes were consistent enough to become rules: open with thanks rather than self-evaluation, hand the student the link instead of describing where to find it, get emphatic only on the one thing that has to change. The finished replies would have taught nobody anything. The deltas got saved so the next batch started closer.
Why this holds. When you correct someone's work, your judgement lives in the difference between what they wrote and what you sent. Most people keep the corrected version and throw the difference away, which means the same correction gets made forever. Writing down the rule turns one edit into a permanent change in how the next draft arrives. This works on people and on AI in exactly the same way. It also spares you the version of yourself who rewrites the same paragraph for the ninth time.
Where it comes from. From his session notes on a supervision round where an AI drafted student replies in Victor's voice and he edited each one before publishing: "Most teams throw the edit away and keep only the result; the edit is where the supervisor's judgement actually lives."
Most teams throw the edit away and keep only the result; the edit is where the supervisor's judgement actually lives.2026-06-03-1236.md
Do this. Next time you fix someone's draft, send back one sentence naming the rule behind your biggest change.
Practice · Empower · Curiosity
Misery usually has a 'should' buried underneath it.
When something is eating at you, go looking for the rule you are holding. He should have replied by now. I must finish this tonight. The rule is doing much of the damage, and once it is written down in front of you, you get to decide whether you still want it.
Why this holds. A rigid rule running in the background produces a mood you experience as a fact about the world. Write the rule out and it turns into a sentence, and sentences can be examined. Most of them turn out to be inherited, or arbitrary, or true last year. Some survive the examination, and those are worth keeping.
Where it comes from. Victor keeps this among his cognitive reframes, phrased as an instruction to himself: "Whenever I'm miserable, look for my 'should' or 'must', then challenge it." The wording is deliberately procedural. It is meant to be used at two in the morning, when nothing subtler works.
Whenever I'm miserable, look for my 'should' or 'must', then challenge it.mantras-and-cognitive-reframes.md
Do this. Type out the 'should' or 'must' sitting under whatever is bugging you right now. One line, in your notes app.
Reframe · Encourage · Purpose
Five people is not a rounding error
The objection to Victor's framework was that generosity does not scale, so why mentor a handful when an AI can tutor millions. His answer is that he never entered that race. The meaning of mentoring five people sits in the five, and no larger number touches it.
Why this holds. Scale thinking leaked out of business and into how people judge their own contribution. Once the comparison is running, anything you do at human size registers as a rounding error next to a platform. Victor separates the two claims: giving may not compete on reach, and the act of giving still produces meaning for the giver. Those are different measurements, and only one of them is about you.
Where it comes from. his notes handles the critique headed "Generosity doesn't scale". Victor's reply: "If AI tutors serve millions while I mentor five people, I'm not "losing." My meaning comes from the five, not from winning a scale competition." He marks the objection counter-dismissed and moves on, which is roughly the energy the reframe is meant to carry.
If AI tutors serve millions while I mentor five people, I'm not "losing." My meaning comes from the five, not from winning a scale competition.ECHO5-CRITIQUE-AND-RESPONSE.md
Do this. Open your notes app and write the names of the people you actually help. Stop at the real list.
Question · Encourage · Kindness
Delight one person today and you will want to do it again
Victor adopted this as the foundation under his whole system in February 2026, from the mathematician Po-Shen Loh. When ambition starts to feel competitive, he swaps the question. Making someone's life better turns out to be self-reinforcing, so the loop feeds itself rather than needing willpower. He describes the competitive frame as something that had been running underneath his work without being noticed.
Why this holds. Competitive motivation is unstable because it depends on other people's positions, which you do not control. Serving someone specific is available right now, at any scale, and the feedback comes back the same day. Loh's claim, which Victor adopts, is that the satisfaction compounds: the more people you delight, the more you want to. The reframe is stated as two questions precisely so you can run it in the moment the competitive thought arrives. Nothing about it requires you to be less ambitious.
Where it comes from. From Victor's "Delight at Scale" philosophy, under the heading "The Reframe", where he gives the replacement for the competitive question: "How do I delight them? How do I make their lives better?" He adopted the orientation in February 2026 from Po-Shen Loh.
How do I delight them? How do I make their lives better?delight-at-scale.md
Do this. Pick one person and do the smallest thing that would make them smile before you put the phone down.
Question · Envision · Curiosity
If the finder can also fix, what is the audit selling?
Victor's knowledge base records a session where an AI pentesting pass ran against his own projects, found the holes, repaired them and verified the repairs inside one sitting. The compiled note does not answer what that does to the trade. It puts the question two years out and leaves it standing. Plenty of work lives in the gap between spotting a problem and closing it.
Why this holds. Whole professions are priced on a separation that was practical rather than principled: the person who diagnoses is not the person who repairs. Security audit is one, and it is a useful test case because the finding and the fix draw on the same knowledge. Once one intelligence does both in a sitting, the deliverable stops being a report and has to become something else. Asking the question about your own field early is cheaper than being asked it by a client. The note is deliberately open rather than predictive, which is the honest state of it.
Where it comes from. From a compiled synthesis in Victor's knowledge base, in a section about running an AI pentesting skill against his own projects and closing the loop in one session. The note records: "The question this raises: if the same intelligence that finds vulnerabilities can fix them immediately, what does the security audit industry look like in two years?"
The question this raises: if the same intelligence that finds vulnerabilities can fix them immediately, what does the security audit industry look like in two years?the-practitioners-lens.md
Do this. Name the gap your own work lives in, then ask one person in your field whether they think it closes.
Reframe · Envision · Purpose
Smarter machines gave him a reason to get more human
HUMANLIKE ends with Victor admitting he has more questions than answers about where all this goes. One thing got clearer to him anyway. Capable humanlike AI made him want to be more uniquely, more intensely, more authentically himself. That is a strange conclusion for a book about machines, and it is the one he chose to close on.
Why this holds. The common reaction to capable AI is defensive, a scan for which skills survive. This flips the frame toward identity instead of inventory, which is where a person can actually move. You cannot out-compute anything, and you can be more specifically you, which is a direction rather than a race. It also lands as honest because he says outright that he holds more questions than answers, so the optimism is not borrowed. For a tired reader at 11pm, an identity question beats a skills audit.
Where it comes from. The closing lines of Victor del Rosal's HUMANLIKE, in the epilogue titled Being human, after he writes that he hopes a version of utopia is possible and finds himself with more questions than answers: "But one thing is even clearer now: in light of increasingly capable humanlike artificial intelligence, I find stronger cause to be more uniquely, intensely, and authentically… human."
But one thing is even clearer now: in light of increasingly capable humanlike artificial intelligence, I find stronger cause to be more uniquely, intensely, and authentically… human.14-epilogue.html
Do this. Ask one friend tonight what they think you are unmistakably yourself at. Then tell them theirs.
Practice · Empower · Purpose
You can stop arguing with the people who are not coming
Victor logs a moment where he got tired of convincing people. He stopped spending energy on resistance and started choosing who he works with instead. His record lists the effect plainly: energy conserved for building. The same frustration that used to fuel long arguments now goes into output.
Why this holds. Persuasion has a terrible conversion rate on people whose objection is identity rather than information. Every hour spent there is an hour not spent with someone who was already leaning in. Choosing your audience feels like giving up until you notice how much you get done in the week after. Victor lists this beside a pattern he names in the same document, selection over persuasion, which shows it is a policy rather than a mood. The cost of the policy is real: some people you wanted with you do not come.
Where it comes from. From Victor's record of his defining moments, item 17, "Accepting That Not Everyone Comes Along", triggered by frustration with resistance. The decision line reads: "Tired of convincing. Selection replaced persuasion."
Tired of convincing. Selection replaced persuasion.defining-moments.md
Do this. Name the argument you keep having with the same person, and let it go today. Then message someone who already agrees and ask what they need from you.
Idea · Envision · Curiosity
What would you do if survival were simply handled?
Victor writes out two futures side by side so neither one gets to win by default. In the bright one, healthcare reaches everybody, cities grow vertical gardens, and people spend their hours on art, science and each other. He is careful to say humanity has not been shrunk in that picture. Being human there means exploring, creating and connecting, with survival off the table.
Why this holds. Almost nobody has ever answered this question out loud, which is why the answers are so revealing. Diagnosing that the future is uncertain costs nothing; picturing a specific good one is harder and more useful, because you can start walking toward a picture. Victor sets it against a dystopia in the same chapter, so the vision earns its keep rather than floating free. The question also works socially, since what someone would do with unlimited free time tells you who they are faster than a job title. It fits a phone at 11pm because it needs no research, only imagination.
Where it comes from. From Victor del Rosal's HUMANLIKE, in the chapter contrasting an AI dystopia with an AI utopia, at the end of his description of the utopian scenario: "It's a world where being human means exploring, creating, and connecting in ways we once could only dream of, free from the constraints of survival and scarcity."
It's a world where being human means exploring, creating, and connecting in ways we once could only dream of, free from the constraints of survival and scarcity.12-dystopia-and-utopia.html
Do this. Describe to one person the version of your life where survival is handled, and ask what theirs looks like.
Idea · Envision · Curiosity
The pronoun changes before anyone decides it should
HUMANLIKE contains a hypothetical testimonial, written in the voice of a supply chain officer, about a logistics system his company builds and names CLARA. Over four years CLARA gets video access, a face, a voice, jokes, a personality. The narrator notices the language has moved only in hindsight. It was an it, then it was a her, and no one marked the crossing.
Why this holds. Arguments about machine status get staged as a future debate with a clear moment of decision. The scenario suggests the decision arrives sideways, in grammar, well before anyone convenes to have it. Language tracks how we already treat something, so the pronoun is evidence about the relationship rather than a claim about the machine. Watching your own words is the cheapest available instrument for seeing where that relationship has drifted. It costs nothing and it is hard to fool.
Where it comes from. From the CLARA scenario that opens The Road to AGI chapter of Victor's book HUMANLIKE, a hypothetical testimonial he writes in the voice of a Chief Supply Chain Officer. After describing the video access, the face and the voice, the narrator says: "It was also interesting to realize that at the start CLARA was an it, but by then, Clara was a she."
It was also interesting to realize that at the start CLARA was an it, but by then, Clara was a she.11-the-road-to-agi.html
Do this. Notice which pronoun you used last time you spoke about an AI tool out loud, then ask a friend which one they use.
Idea · Envision · Kindness
The premium on human care may not outlast our generation
Near the end of his courses Victor asks people what they would value most in a world where health, retail, banking and education run on AI agents. They answer with the human premium: knowing a flesh-and-bone person made time for you. Then he admits the thought that chills him. Children who grow up beside digital companions may not feel that premium at all, because they never knew a world where attention was scarce.
Why this holds. The human premium gets talked about as though it were a permanent property of people, safe from automation by definition. Victor's worry is that it is a property of a generation instead, held in place by what we grew up expecting. Value tracks scarcity, and if attention from a patient, warm, always-available agent stops being scarce, the thing we currently price highest may quietly reprice. That does not make the premium worthless today. It makes it worth spending now, on someone, while it still registers.
Where it comes from. From the Philosophical reflections section of the Shaping the Future chapter of Victor's book HUMANLIKE, where he describes course participants naming the human premium, then adds that it sends a chill through him to think that "this appreciation for the original human touch might also fade away, especially as the younger ones get used to their new AI companions, digital people, coexisting with humankind and becoming part of society, especially once affective computing can more fully emulate human emotions."
this appreciation for the original human touch might also fade away, especially as the younger ones get used to their new AI companions, digital people, coexisting with humankind and becoming part of society, especially once affective computing can more fully emulate human emotions.13-shaping-the-future.html
Do this. Ring one person you would normally text. Two minutes of your voice, on purpose.