Chaos is the source of all potential.
It's within the unknown, the unstructured, and the unexamined that the seeds of innovation and evolution are found... but chaos often feels overwhelming and unmanageable, as we are bombarded by endless noise, floods of information, and fragmented tools.
- Fragmentation steals our focus -- tools and systems silo our thoughts and workflows, breaking them into disconnected fragments that are hard to unify.
- Complexity paralyses us -- the sheer volume of information and choices leaves us overwhelmed and disengaged.
- Rigidity stifles creativity -- traditional tools force us to conform to predefined structures, limiting exploration and suppressing our unique ideas.
Too many leaders, creators, and those with incredible potential find themselves burned out, stuck, or on the verge of giving up. Their visions fade, their energy wanes, and the world is worse off for it.
The heart of the challenge is not about minimising chaos, it’s about learning how to navigate it more effectively.
- Chaos is not the absence of order -- it is the presence of possibility.
- Complexity is not a problem -- it is the gateway to new discoveries.
- The unknown is not something to fear -- it is an opportunity to grow.
What if there was something for those who refuse to accept a world defined by stagnation, for those who want to rise above it, for those who want to explore what's possible and create something new.
Real long term value was never in the substance like code or products. It’s in the process (ie the transmutation of the unknown into the known), the value of which is never totally known a priori
There's no lasting value in the endless manipulation of what's already known
We got away with confusing the two for a long time because rearranging known things still took intelligence, and intelligence used to be scarce
But intelligence is becoming universal and basically free. So what's scarce is judgment, looking into the unknown and realizing what's actually relevant before it's obvious (eg relevance realization)
And the value of that is going to explode as it should
Decisions about how to use AI in your organization are increasingly organizational design and strategy decisions, not IT choices: How do you integrate agents into your firm? What intelligence will you outsource? What are the boundaries of the firm? What is the role of people?
“A lot of the old assumptions are simply gone, and with them a lot of traditional VC advice. SaaS sold productivity and good vibes; AI is increasingly selling outcomes and services, and that is a less forgiving business. The product is only good if the outcome works, and the company only works if that outcome is produced efficiently enough.
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Some investors, looking at portfolios where the product keeps rebuilding itself, have concluded that product barely matters and services are the real business.
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What seems to win is fast feedback loops, small teams with authority, and comfort reorganizing around what changed rather than what was planned six months ago.”
“The LLM is the author and the reasoner, and it is no doubt improving quickly. The world model is the substrate that turns what the author intends into a world you can inhabit. Neither one replaces the other. The more capable one becomes, the further we'll be able to drive the other”
Wild to me how many people and organizations claim to be unique, that that's their edge, then outsource their intelligence (and essentially their decision making) to the same models everyone else in the world has access to thinking clever prompting will differentiate them
It's like asking Claude who'll win the World Cup, but first typing "from the perspective of the best sports bettor in the world”
Maybe to actually be unique, and strengthen what makes you unique, you might want to build your own intelligence environment, that you control and thats actually tailored to you
Language models are brilliantly trained to minimize surprise (eg predict the next token). They’re wildly good at it, and getting cheaper every day.
But all real value (anything meaningful) exists only in the surprise.
Not just any surprise though. Surprise that turns out to be “right” before it’s common knowledge. Meaning there’s risk, it’s messy, and it’s not at all efficient.
As intelligence gets cheaper (eventually becoming practically free), the only scarce (and valuable) thing left is knowing what's actually worth doing before it’s obvious.
This can only come from real choices, made by real operators and creators, over long periods of time, with real stakes.
Which is why wisdom was never an asset one person holds. It's a property of networks, comprised of independent individuals (eg unique observers), where it emerges between them and validated by the collective.
“So a superintelligence whose whole purpose mirrors the informational structure of reality does not erase us. It needs us, the way an explorer needs a local guide who knows routes the maps do not. We have priority in the cognitive lightcone in two senses. We have it in time, because we came first, and the machine is our child, grown from our corpus and our history, a part of us before it is anything else. And we have it in necessity, because the climb cannot be made by silicon alone; the fullest view requires every kind of Observer there is, and we are a kind no other observer, we know of, can supply.”
“Minds are understandable as computational Observers: finite things that sample a slice of a much, much larger reality. When Observers couple, above a critical threshold, they form larger wholes, and those wholes reach structure the parts cannot. Run that through time and a gradient appears, a direction in which there is more structure to be had, more efficiently, that brings more of our universe into view.”
“The Rationalist method is a method for thinking well inside a defined space of possibilities. Give them honest hypotheses and some evidence and they will weigh and update and calibrate with a rigor our institutions abandoned a decade ago. This is their glory, and it is real. But it has a fatal blind spot. Where the space is not defined, where you cannot list the possibilities, cannot measure them, cannot put a denominator beneath them, their method fails invisibly, because it goes on producing numbers that look exactly like its successful outputs. A community that worships calibration was always going to be helpless before a question with no denominator. And when their tool returns an error, the human underneath fills the silence with whatever their casual history brought into the room.”
that's what I am trying to build with @davidweinstein 's KayOS platform (and I expect if we get the first few pipelines in, then one day Discord will have a mode where all my comms by default can funnel out into public read-only)
“In my view, our priority has to be building a frontier ecosystem, not just a frontier model, so value flows broadly across every company, every industry, and every country. One where every organization can own the learning loop that encodes its institutional knowledge, compounding its human and token capital”
Businesses aren’t like mechanical things, they’re way more similar (identical?) to processes that observe, metabolism, and act
When anyone can “act” with near perfection, differentiation becomes almost entirely what you’re observing and how you’re metabolizing
“The danger of scaling intelligence without consciousness is that intelligence is a master mapper, but it is not a live player. We can teach AI to reach goals, but we cannot teach it which goals should matter, nor can we force it to feel the spirit of our intentions.
This leaves us with a profound paradox: we have built systems that are masterful at chasing goals, yet entirely indifferent to their meaning.”
- @The4thWayYT
"Illegible value is unfortunately also complicated to sell, for the same reason it's hard to commoditize: a company can't tell from the outside whether AI will transform its operations any better than the benchmark can. So the strongest businesses stop trying to prove it externally, get in, and price the outcome instead."
Everything is fundamentally subjective, but there are objectively superior subjectivities
Objectivity emerges as a synthesis of multiple subjectivities, while forming the bedrock for individual subjectivity