convergence to the mean when everyone looks at everyone else to decide what to make, we eventually stop making anything of our own. we copy what works. borrow the language, the aesthetic, the features. we call it learning from the market, following best practices, staying competitive. together, everything starts to feel familiar. polished, interchangeable. nothing wrong. nothing alive. the mean isn’t necessarily bad. it’s where everything lands when we remove the reasons for it to be different. numbers are easier to compare than feelings, so we make things that produce numbers. we study what gets attention, then shape ourselves around it. eventually the feedback stops informing the work and starts authoring it. we’re no longer asking what we want to say. we’re asking what will be rewarded for saying. ai makes this loop frictionless. it can draw from more references than we could see in a lifetime. but access to every perspective isn’t the same as having one. it hasn’t lived a particular life that makes one detail unbearable and another beautiful. when we ask it to choose for us without bringing any intention of our own, we get something plausible, easy to approve. then we ship it, measure it, copy it, and feed it back into the next round. a tidal wave of mid. this changes not just the work, but the people making it. we describe ourselves in categories platforms can distribute and markets understand. designer. founder. creator. pick a niche. build a brand. be consistent. the parts that don’t fit become inconvenient, even when those contradictions might produce our most interesting work. we become easier to classify and harder to tell apart. i think we need to approach making things more like artists. an artist develops a perspective through the work. making, noticing, choosing, failing, returning. learning what matters even when nobody else cares. craft gives that perspective a form precise enough for someone else to experience. the life outside the work matters too. the places you’ve lived, the people you’ve loved, the things you’re embarrassed to care about. these aren’t distractions from having something to say. they’re how you come to have something to say. we understand this with music, paintings, photographs, movies. we expect a person to be present in the choices. we want to experience something we wouldn’t have encountered without them. software can do this too. a piece of software expresses beliefs about how life should feel. what deserves your attention. what you should be free to change. whether a task should feel like paperwork or play. even a small interaction can carry someone’s care, humor, or curiosity. but we rarely talk about software as a medium. we talk about it as an industry. markets to capture, workflows to optimize, competitors to catch up with. we add a feature because someone else has it, without asking whether it belongs. products accumulate the same parts and lose what made them worth choosing. underneath the branding, it’s all the same thing. artists learn from others too. the question is whether you’re absorbing those influences into a point of view, or using them to avoid developing one. what are you trying to let someone feel, understand, or do? why this particular shape? what have you noticed that the existing tools don’t seem to notice? those questions don’t have answers you can borrow from a competitor’s roadmap. if we can make almost anything, deciding what deserves to exist becomes more important, not less. speed gives us more chances to exercise judgment. it doesn’t remove the responsibility. i don’t want a world where every person becomes a more efficient distributor of the same ideas. i want people to use these tools to go further into what they actually care about. to make things specific enough that we can feel someone behind them. what is the point of everyone being able to make something, if we all end up making the same thing?

The universe of bio x AI broken down by ticker and subtheme for investors. Bracing for another exponential

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Alien plans to human: 2004: destroy mankind's attention, make them dance in front of camera 2025: now rip their intelligence off their brain, keep them in an eternal agentic flow 2050: make them move all compute to space 2150: nuke their space data centers 2200: invade them

Interesting aspect of synthetic-demand destruction where human is no longer there to look around.

it is the way it is, human compete for resources

จางยู่ชาน จิตสังหารเต็มเหนี่ยว แถมเร็วกว่าอู๋เมิ่งเจี๋ย #วอลเลย์บอลหญิง

Imagine they do AI genetic engineering to insects, increase its life expectancy by 0.5% yearly. 1500 years later, 1.005^1500 * 30 = 53_237 days lifespan per insect. Human could be wiped out from Earth by some strange spread disease.

Flagship gadget comes out, Poor people: look, I use the same device as rich people, abundance it is. Rich people: look, the best tech's price is so cheap even poor people can afford it. As my wealth skyrocketing, stuff price is not inflated that much. psychologically win-win..

need glasses that cancel this frame rate again

Not sure if Jevons Paradox is gonna save bottleneck bros. The AI cost (compute need) for a lot of applications is literally collapsed with Jev. Especially when the existing models mainly make money on junk text output.

"Isn't this just .." in tech is the "everything is priced in" in stock market. You know everything is atom, what's the point.

Very bullish on this approach. Algo/logic should work with stat numbers very closely if not directly. been very bearish on natural language / text for years.

a key risk management of agent task execution is the same as in trading, which is sizing. Only dumb person allocates 12h-24hr size for a single loop. Losing time as bad as losing capital in business. As time approach deadline, losing time is more expensive.

AIが考えるおばあちゃんゲーム 作者です

short life expectancy, for security reason, means we are too dangerous to live longer than 200 years something

confusing world of money man

$US10Y how many kidneys the house have to fund $5000 per individual ?

directionally right 😂

Did you watch Last Samurai Standing ? This is what software developers look like right now. The people with guns hate you and want to kill you all. No more swordsmanship, they hate it. They want to sell you guns.