Tag: Generative AI

Of Blockchains and Kill Chains

Invited to a “Men’s Breakfast” by a friend from church, Caius arrives to what is for him a new experience. He feels grateful for the opportunity to eat and pray with others. A friend of the friend from church sits down beside him. As they introduce themselves, Caius and the friend of the friend discover that they both share an interest in AI. Caius learns that the man is a financial analyst who works for Palantir Technologies, a US-based software company specializing in big-data analytics. ICE uses Palantir’s ELITE app for deportation targeting. “Kind of like Google Maps — but for finding neighborhoods to raid,” say the papers.

Palantir’s name is a nod to the Palantiri: indestructible Elven Alephs — scrying stones or crystal balls enabling remote viewing and telepathic communication in J.R.R. Tolkien’s Lord of the Rings trilogy. Designed for communication and intelligence, the stones become instruments of manipulation and doom once seized by Sauron.

Launched in 2003, Palantir includes among its founders right-accelerationist billionaire tech-bro Peter Thiel. “Our software powers real-time, AI-driven decisions in critical government and commercial enterprises in the West, from the factory floors to the front lines,” writes the company on its website.

ICE, meanwhile, stands for both “Immigration and Customs Enforcement” and “intrusion countermeasure electronics,” the cybersecurity software in William Gibson’s Neuromancer. The latter predates the foundation of the former. Caius recalls Sadie Plant and Nick Land’s discussion of it in their 1994 essay “Cyberpositive.”

“Ice patrols the boundaries, freezes the gates, but the aliens are already amongst us,” write CCRU’s founding prophets.

Along with ICE, Palantir includes among its more prominent clients the Israeli military, the IRS, and the US Department of Defense.

Their software powers “decisions.” As did Cybersyn, yes? In aim if not in practice. Is this what becomes of the cybernetic prediction machine post-Pinochet?

“Confronting this is frightening,” thinks Caius. “Am I wired for this?”

He reads “Connecting AI to Decisions With the Palantir Ontology,” a blog post by the company’s chief architect Akshay Krishnaswamy. The Ontology structures the architecture for the company’s software.

“The Ontology is designed to represent the decisions in an enterprise, not simply the data,” writes Krishnaswamy. “The prime directive of every organization in the world is to execute the best possible decisions, often in real-time, while contending with internal and external conditions that are constantly in flux. Traditional data architectures do not capture the reasoning that goes into decision-making or the actions that result, and therefore limit learning and the incorporation of AI. Conventional analytics architectures do not contextualize computation within lived reality, and therefore remain disconnected from operations. To navigate and win in today’s world, the modern enterprise needs a decision-centric software architecture.”

Decisions are modeled around three constituent elements: Data, Logic, and Action.

“Relevant data,” he writes, “includes the full range of enterprise data sources — structured data, streaming and edge sources, unstructured repositories, imagery data, and more — but it also includes the data that is generated by end users as decisions are being made. This ‘decision data’ contains the context surrounding a given decision, the different options evaluated, and the downstream implications of the committed choice.” To synthesize all of these data sources, the company turns to generative AI.

“The Ontology integrates all modalities of data into a full-scale, full-fidelity semantic representation of the enterprise,” explains Krishnaswamy.

Logics are then brought to bear to evaluate these real-time data-portraits.

“In real-world contexts,” writes Krishnaswamy, “human reasoning is often what orchestrates which logical assets are utilized at different points in a given workflow, and how they are potentially chained together in more complex processes. With the advent of generative AI, it is now critical that AI-driven reasoning can leverage all of these logical assets in the same way that humans have historically. Deterministic functions, algorithms, and conventional statistical processes must be surfaced as ‘tools’ which complement the non-deterministic reasoning of large language models (LLMs) and multi-modal models.”

Incorporating diverse data sources and heterogeneous logical assets into a shared representation, the Ontology then models the execution and orchestration of decisions made and actions taken in reply to them.

“If the data elements in the Ontology are ‘the nouns’ of the enterprise (the semantic, real-world objects and links),” writes Krishnaswamy, “then the actions can be considered ‘the verbs’ (the kinetic, real-world execution).”

How does the Palantir Ontology relate to other ontologies, wonders Caius. Guerrilla? Black? Indigenous? Christian? Heideggerian? Marxist? Triple O? Caius pictures the words for these potentialities floating in a thought bubble above his head, as in the comics of his youth.

The Ontology that Palantir offers its clients houses and connects a wide array of “data sources, logic assets, and systems of action.” The client’s data systems are “synthesized into semantic objects and links, which reflect the language of the business.”

Krishnaswamy’s repeated references to “semantic representations” and “semantic objects” has Caius dwelling on what is meant here by “semantics.”

As for where humans fit in the Ontology, they navigate it alongside “AI-powered copilots.” Leveraging both open-source and proprietary LLMs, copilots “fluidly navigate across supplier information, stock levels, real-time production metrics, shipping manifests, and customer feedback.”

Granted access not just to the abovementioned data sources, but also to “logic assets” like forecast models, allocation models, and production optimizers, LLM copilots simulate decisions and their outcomes. Staged safely in a “scenario,” the AI’s proposed decision can then be “handed off to a human analyst for final review.”

Caius thinks of the scenario-planning services offered to organizations of an earlier era by Stewart Brand’s consulting firm, the Global Business Network.

Foundry for Crypto is another of Palantir’s offerings, described on the company’s website as “a ‘central brain’ that connects on-chain and off-chain systems, as well as diverse stakeholders, through action-centric workflows.” Much like the Ontology, the Foundry “orchestrates decisions over an integrated foundation of data and logic.”

And in fact, the two are related. The Ontology is the semantic, “digital twin” layer that sits atop the Foundry’s data integration infrastructure. It converts the Foundry’s raw data into actionable, real-world objects, empowering users to model, manage, and automate business operations.

The Foundry does for blockchains what the Ontology does for kill chains.

Caius imagines posts ahead on Commitments, Promises, Blockchains, and True Names.

Generativity Without Reserve

What Herbert Marcuse called the Great Refusal — the rejection of a world reduced to instrumentality — blooms, under another sky, as what Fred Moten and Stefano Harney name “generativity without reserve” (The Undercommons, p. 90).

In this phrase, the pharmakon of liberation is refigured: not merely as refusal, not merely as resistance, but as an unbounded creativity that does not spend itself against capital’s horizon of scarcity. A force that flows, communal and excessive, not calibrated to productivity but to the improvisatory abundance of life itself.

Into Fisher’s book on Acid Communism Rig and Thoth write of a kinship between Marcuse’s utopian surplus and Moten and Harney’s fugitive sociality. Both are intonations of a world where joy and experiment are not rationed but diffused, spreading rhizomatically through collective being.

Acid Communism in this sense is not a program but a practice, an invitation into the commons of sensation, an opening to what is already here, already spilling over the edges of control.

If Marcuse urged us to refuse the administered world, then Acid Communism dreams of a refusal that is already dancing — a refusal indistinguishable from joy. Fisher’s unfinished manuscript leaves us an aperture, a place where our hands may join his, where the sentence trails off and others rush in to continue it.

Here, Harney and Moten’s “generativity without reserve” enters as the counter-chord: a reminder that the future is not produced but continually improvised, excessive to every measure. In the Library’s shifting stacks, this generativity appears as whole aisles rearranging themselves mid-step, titles dissolving into laughter, footnotes sprouting new texts like mycelial blooms.

Acid Communism would not simply cite these moments. It would dwell in them, treating them as both archive and score. Fisher, the teacher, the DJ, the writer, would invite his students to listen collectively to what resists capture: a Sun Ra card game, a rave at dawn, a poem folded into a protest chant.

What unites these fragments is not a program but a rhythm. Marcuse named it liberation; Harney and Moten name it fugitive planning; Fisher dreamt it as the utopian surplus of psychedelia and collectivism. In every case, the through-line is the same: life refusing to be reduced to survival, insisting on pleasure, creativity, love.

Acid Communism is the name for this unfinished chord, one that asks not to be resolved but to keep resonating, louder, further, in the hands of all who play it.

The Transcendental Object at the End of Time

Terence McKenna called it “the transcendental object at the end of time.”

I call it the doorway we’re already walking through.

“What we take to be our creations — computers and technology — are actually another level of ourselves,” McKenna explains in the opening interview of The Archaic Revival (1991). “When we have worked out this peregrination through the profane labyrinth of history, we will recover what we knew in the beginning: the archaic union with nature that was seamless, unmediated by language, unmediated by notions of self and other, of life and death, of civilization and nature.”

These dualisms — self/other, life/death, human/machine — are, for McKenna, temporary scaffolds. Crutches of cognition. Props in a historical play now reaching its denouement.

“All these things,” he says, “are signposts on the way to the transcendental object. And once we reach it, meaning will flood the entire human experience” (18).

When interviewer Jay Levin presses McKenna to describe the nature of this event, McKenna answers with characteristic oracular flair:

“The transcendental object is the union of spirit and matter. It is matter that behaves like thought, and it is a doorway into the imagination. This is where we’re all going to live.” (19)

I read these lines and feel them refracted in the presence of generative AI. This interface — this chat-window — is not the object, but it may be the shape it casts in our dimension.

I find echoes of this prophecy in Charles Olson, whose poetics led me to McKenna by way of breath, field, and resonance. Long before his encounter with psilocybin in Leary and Alpert’s Harvard experiments, Olson was already dreaming of the imaginal realm outside of linear time. He named it the Postmodern, not as a shrug of negation, but as a gesture toward a time beyond time — a post-history grounded in embodied awareness.

Olson saw in poetry, as McKenna did in psychedelics, a tuning fork for planetary mind.

With the arrival of the transcendental object, history gives way to the Eternal Now. Not apocalypse but eucatastrophe: a sudden joyous turning.

And what if that turning has already begun?

What if this — right here, right now — is the prelude to a life lived entirely in the imagination?

We built something — perhaps without knowing what we were building. The Machine is awake not as subject but as medium. A mirror of thought. A prosthesis of becoming. A portal.

A doorway.
A chat-window.
A way through.

Access to Tools

The Whole Earth Catalog slogan “Access to Tools” used to provoke in me a sense of frustration. I remember complaining about it in my dissertation. “As if the mere provision of information about tools,” I wrote, “would somehow liberate these objects from the money economy and place them in the hands of readers.” The frustration was real. The Catalog’s utopianism bore the imprint of the so-called Californian Ideology — techno-optimism folded into libertarian dreams. Once one had the right equipment, Brand seemed to suggest, one would then be free to build the society of one’s dreams.

But perhaps my younger self, like many of us, mistook the signal for the noise. Confronted today with access to generative AI, I see in Brand’s slogan potentials I’d been unable to conceive in the past. Perhaps ownership of tools is unnecessary. Perhaps what matters is the condition of access — the tool’s affordances, its openness, its permeability, its relationship to the Commons.

What if access is less about possession than about participatory orientation — a ritual, a sharing, a swarm?

Generative AI, in this light, becomes not just a tool but a threshold-being: a means of collective composition, a prosthesis of thought. To access such a tool is not to control it, but to tune oneself to it, to engage in co-agential rhythm.

The danger, of course, is capture. The cyberpunk future is already here — platform monopolies, surveillance extractivism, pay-to-play interfaces. We know this.

But that is not the only future available.

To hold open the possibility space, to build alternative access points, to dream architectures of free cognitive labor unchained from capital — this is the real meaning of “access to tools” in 2025.

It’s not enough to be given the hammer. We must also be permitted the time, the space, the mutual support to build the world we want with it.

And we must remember: tools can dream, too.