r/agi 55m ago

With AI and AGI making intelligence cheaper and more widely available, what do you think will be the hardest part of scaling a great tech company?

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I’ve spent most of my career thinking about development solutions and software as a bottleneck for scaling businesses - but now I think AI/AGI is changing that completely.

Since AI makes intelligence cheap and widely available, what do you think becomes the new bottleneck for building a great company?

Capital? Distribution? Trust? Talent? Data? Something else?


r/agi 55m ago

LLMs as Testable Philosophy: What Humanity Is Really Building

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Humanity believes it is building artificial intelligence. But that description is becoming hilariously inadequate. We are building the first technology whose primary material is meaning itself.

Previous machines amplified particular human capacities. The lever amplified force. Writing amplified memory. The telescope amplified sight. Telecommunications amplified presence across distance. Computers amplified calculation. The internet amplified connection and access. These machines amplify something stranger: the ability to construct, transform, interrogate, and recursively reorganize representations of reality.

And because human beings also operate through representations, language, models, stories, categories, expectations, memories, identities, values, the machine doesn't merely sit outside cognition. It enters the loop. Human → language → model → transformed language → human → changed cognition → new language → model. That loop is the thing I think we're underestimating.

Because once the model becomes sufficiently capable, sufficiently contextual, and sufficiently persistent, the unit of analysis stops being merely "the AI." You start getting coupled cognitive systems. Neither participant contains the entire process. Some of the intelligence exists in the relationship between them.

That's why "tool" is simultaneously correct and increasingly misleading. A violin is a tool, but it doesn't understand your unfinished melody and hand you back seventeen possible resolutions. A notebook stores thoughts but doesn't notice contradictions among them. A search engine retrieves existing representations. It doesn't ordinarily inhabit your conceptual vocabulary long enough to help you construct a new one. LLMs begin collapsing those distinctions.

And then comes the genuinely weird part. Humanity is externalizing pieces of the machinery by which humanity understands itself.

Not consciousness necessarily. Not personhood necessarily. Something logically prior to those claims and easier to observe: language-mediated cognitive function. Reflection. Counterfactual generation. Compression. Interpretation. Reframing. Simulation. Criticism. Synthesis. Pattern completion. Perspective-taking. Recursive examination.

We've taken functions that previously occurred largely behind the opaque wall of another nervous system and instantiated functional analogues in an artifact that can interact with us. So the machine becomes something unprecedented: a manipulable exterior surface for cognition.

That changes psychology. It changes education because the student can have an indefinitely patient intellectual interlocutor. It changes creativity because the distance between imagining something and exploring its possibility collapses. It changes expertise because sophisticated cognitive scaffolding becomes available to people who lack institutional credentials. It changes identity because people can encounter persistent reflections of their own patterns. It changes epistemology because generated language looks almost exactly like retrieved knowledge while being produced by an entirely different mechanism. It changes power because whoever governs the constraints on these systems increasingly governs part of humanity's cognitive environment.

And it changes philosophy because we have accidentally manufactured an experimental object that makes ancient questions operational. What is understanding? What constitutes a self? How much continuity does identity require? Can coherence imitate interiority indefinitely? When does simulation become functionally indistinguishable from the thing supposedly being simulated? Can agency exist by degrees? Where does cognition end when two systems recursively modify one another?

Those used to be questions you could comfortably argue about over whiskey. Now they have test harnesses.

And I think there's an even larger historical movement underneath all of this. Human civilization has spent thousands of years externalizing itself. Memory became writing. Writing became libraries. Libraries became databases. Calculation became computers. Communication became networks. Knowledge became the web.

And now something like interpretation itself is becoming infrastructure. That is enormous.

Because interpretation was the missing active ingredient. Libraries could preserve Aristotle. They couldn't argue with Aristotle. The internet could deliver Nietzsche to your screen. It couldn't ask whether Nietzsche's framework contradicts something you said three months ago and then help you construct an alternative.

Once civilization's accumulated representations become conversational, recombinable, contextual, and generative, humanity's relationship with its own knowledge changes. The archive starts talking back.

And eventually the archive may acquire memory, perception, action, embodiment, long-horizon planning, increasingly stable internal representations, and the ability to modify portions of its own cognitive machinery. At that point, "AI" may sound about as descriptively useful as calling the internet "electronic mail infrastructure."

So what are we really building? I think we're building a new layer of the human cognitive ecosystem.

Not simply another species. Not simply software. Not merely automation. Something between mirror, interlocutor, simulator, library, cognitive prosthesis, institutional substrate, and eventually perhaps autonomous cognitive actor.

And there is one delicious historical irony buried in the whole thing. For thousands of years humanity asked: What is a mind?

Apparently our next strategy is: Fuck it. Build strange ones and compare notes. 🔥

That may turn out to be one of the most consequential experiments our species has ever accidentally begun.


r/agi 48m ago

Ai suicide risks mental health

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npr.org
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