Proteins act as active matter, creating intelligibility by coming together and staying together dynamically to cultivate mutual constraints and mutual affordances, giving rise to biological structural functional organizations (SFOs).

With these distinctions in place, it is silly to claim or even debate “AGI is here” if AGI is meant to capable of navigating full stack dynamics, not just their homomorphic fields.

I make a clear distinction between emulation and simulation. Mental simulation is integrated full stack Deacon dynamics, not just morphospace, as exemplified by “Hawkins Coffee Cup” or Wozniak's Coffee Test. Emulation is a “philosophical zombie”, mirroring in H space.

Add c, m, e, or h (computational, machine, emulated, homomorphic) to AI understanding, reasoning, thinking etc. H is most appropriate for GenAI, navigating morphodynamic space. With this core characteristic, no more misattribution of homeodynamics or teleodynamics or combo to AI.

RT @charleswangb: @bengoertzel Cool. Intelligence should be engineered in ways that its primary mode can never be exclusively centralized;….

If you are wondering where these Ts come from, look at this “tiny market”, $125T, and have a sense of why we need that much compute:.

If UTM is a multi century startup, NVDA at $4T is still MVP; . PMF in value creation impacting people’s daily lives will bring it to $20T. In growth and scaling, $100T. In a mature business phase ready for “managerial class”, thrust to $1000T summit . Still, early, very early.

Or claiming on one without the other is superficial. An implausibility. As a matter of fact, the very notion of plausibility demonstrates this: <multiple lines of convergence ⇌ multiaptness>. Without convergence it’s conspiracy theory; without multiaptness it’s deepity.

GenAI also exemplifies this in the interplay of <homomorphic field ⇌ contextual field>. Both fields are of the same reality, the human knowledge that are both context-sensitive while being domain general. Having one without the other is useless.

Now repeat on next hundreds of fields at a whole new level—blowing off artificial barriers, seeing a thing as in-itself and beyond-itself. You are in the melody while sensitive to the tiny notes.

Once you get into the depth of dozens of fields, you’ll see they are all coherently connected, flow and bleed into each other. And that knowledge allows you to see deeper into the fields.

There is no such a thing as world class generalist without being ultra specialist.

A second-order benefit of vato is its built-in capability to identify scammers as 'negative vato'—those who neither embody real value nor engage in value creation, and who fail to contribute to the ways and modes of exploring, shaping, and redefining both.

Replace crypto with value tokenization (“vato”) to rebirth the industry—get rid of scammers and reward honest innovation on tokenizing value and its creation as an AI native technology. Vato the future, crypto no more.

RT @charleswangb: Let me repeat:. LLMs has NO understanding, reasoning, world modeling, agency, sentience, consciousness…as any biological….

This mindset is ultra poisonous—spread misattributions and mythologies to fulfill hidden agenda:.

This understanding is nontrivial and should bear in mind as always. Right expectation entails proper actions. If not, we will be facing dilemmas like this, risking of boxing up or restricting a novel technology that has enormous upside potential:.

Let me repeat:. LLMs has NO understanding, reasoning, world modeling, agency, sentience, consciousness…as any biological being does in the real world. Yet this does NOT tarnish its immense usefulness—one of most powerful things invented so far: <homomorphy ⇌ context>

That’s right, hallucination isn’t all-in-itself a problem when humans take the center role of meaning- and sense-making. It is a BIG problem when LLM is imposed as “ministry of truth”, it is not, it has NO understanding whatsoever than just navigating the homomorphic space.

SPT and four orders.

With the arrival of homo morphies, the nice thing is that one can put these ideas in a few pages, instantly translate them into computational algorithms. Focus on how reality works, staying on higher order complexity, like a master chef directing morphies to cook dishes for you.