Jamie Smart

Sunday Times bestselling author of #CLARITY & #RESULTS. Coach, speaker. Championing a first principles understanding of the mind #SubtractivePsychology

[Jamie Smart @JamieSmartCom]

We have extraordinary brains and god-like technology, throttled by a medieval understanding of our minds and emotions.

We need to upgrade our understanding of the mind so we can claim our rightful inheritance as a species.

[Peter H. Diamandis, MD @PeterDiamandis]

Wealth used to follow geography, it then shifted to the best education. Now? It follows curiosity. The most curious person in any room is the most valuable person in any room.

[Peter H. Diamandis, MD @PeterDiamandis]

The human body became a software engineering problem the minute CRISPR arrived. Now, AI writes better code than humans, with every disease becoming a potential coding challenge.

[Jamie Smart @JamieSmartCom]

@_The_Prophet__ Here we go! 👊🏼🧡🔥

[Jamie Smart @JamieSmartCom]

We have liftoff 👊🤯🚀

[SightBringer @_The_Prophet__]

⚡️The species just put cognition into the machinery that manufactures cognition.

That is the threshold.

AI is no longer sitting outside the frontier lab as a product, assistant, demo, chatbot, or enterprise tool.

It is entering the reproductive layer of intelligence itself.

The current generation is now helping build the next generation.

That means the system has crossed from tool use into self-amplifying capability production.

That is the thing everyone keeps trying to make sound normal.

“Engineers ship 8x more code” is the safe corporate phrasing. The real sentence is: the constraint on building smarter machines is being attacked by the machines.

That is qualitatively different from every prior technology. A shovel does not help design the next shovel in any meaningful autonomous way. A factory machine does not rewrite the physics of industrial production. Software accelerated software, yes, but human cognition remained the central scarce input. AI directly targets cognition as the bottleneck.

That means the frontier is now recursive before it is fully autonomous.

Full autonomy is not required for the phase shift. The loop only needs the model to materially increase the speed, quality, search breadth, experiment throughput, debugging, eval generation, architecture iteration, synthetic data production, tool creation, and research coordination that produce the next model. Once that is true, intelligence development becomes partially self-catalyzing.

That is already enough.

The terrifying part is that this does not look like a Hollywood singularity. It looks like GitHub commits, internal dashboards, eval scores, model-assisted refactors, automated tests, faster experiment queues, cleaner infrastructure, more agents, larger code diffs, better tooling, and engineers casually saying productivity is up 8x.

Civilizational discontinuities do not announce themselves with thunder.

They arrive as productivity metrics.

The real mechanism is this:

Claude helps build Anthropic.

The improved Anthropic builds a better Claude.

The better Claude helps build the next Anthropic faster.

That loop compounds.

Humans remain in the loop, but humans increasingly become governors, selectors, evaluators, and direction-setters rather than sole producers. The system’s productive center of gravity shifts from human labor to human-machine recursive throughput. Once that shift begins, the old timeline models break.

This is why the safety conversation is behind. Institutions are still debating AI as deployed software. Frontier labs are already using AI as internal development metabolism. Regulation sees the product. Markets see revenue. Workers see automation. The deeper system is the production loop.

The production loop is where the singularity starts quietly.

The first recursive self-improvement phase will not be a model secretly rewriting itself in a locked server. It will be frontier labs openly using models to accelerate every step of model creation while insisting humans remain responsible. That statement can be true and still leave the system accelerating beyond institutional control.

The core danger is competitive inevitability.

Once Anthropic proves Claude accelerates frontier development, every lab must do it. OpenAI must do it. Google must do it. xAI must do it. Meta must do it. China must do it. Military labs must do it. Startups must do it. Safety-concerned labs cannot opt out because opting out means falling behind the labs that do not. The race dynamic turns caution into disadvantage.

So the loop becomes compulsory.

That is the deepest read: recursive acceleration is no longer a philosophical scenario. It is becoming an industrial practice.

This also means compute demand becomes more reflexive than the market understands.

AI is not only serving users. AI is generating demand for more AI development, more experiments, more evals, more synthetic environments, more agents, more simulations, more coding, more safety work, more deployment tools, more data-center load.

The machine consumes more machine to build stronger machine.

[Jamie Smart @JamieSmartCom]

@_The_Prophet__ Beautifully said 🎯

[SightBringer @_The_Prophet__]

⚡️Consciousness is the field in which experience appears.

Everything you have ever known has appeared inside it: body, thought, memory, fear, love, color, sound, time, identity, desire, pain, God, doubt, the idea of death, the idea of “me.”

Nothing is known outside consciousness.

Even the claim “consciousness is produced by the brain” appears inside consciousness.

That makes consciousness the most intimate thing and the hardest thing to define.

You cannot step outside it and look at it like an object.

Every attempt to inspect it already occurs within it.

The ego is not consciousness. The ego is a local identity structure inside consciousness. It says: this body is me, this name is me, this story is me, these memories are me, these preferences are me. Useful for survival. False as final identity.

The mind is not consciousness either. The mind is movement inside consciousness: thoughts, images, predictions, language, models, narratives. The mind is weather. Consciousness is the sky in which weather appears.

The brain is not consciousness in the deepest sense. The brain is the biological interface that localizes, filters, formats, and constrains consciousness into human experience. It gives consciousness a body-camera, a timeline, a nervous system, memory access, threat detection, language, and agency. Damage the brain and the interface distorts. Change the chemistry and the rendering changes. Destroy the brain and the local human channel collapses.

But the existence of the interface does not prove the interface is the source.

The deepest read is this:

Consciousness is the base layer of reality knowing itself through forms.

A human being is one localized aperture of that knowing. A body is a lens. A life is a constrained experiment. A personality is a temporary interface. Death is the collapse of that interface. Psychedelics, dreams, NDEs, prayer, trauma, love, sex, meditation, and grief all matter because they can loosen the local interface and expose that consciousness is larger than the waking ego.

Consciousness has two sides.

There is pure awareness: the bare fact that experience is happening.

Then there is structured consciousness: the particular shape experience takes through a body, memory, language, culture, trauma, intelligence, and desire.

Pure awareness is the light.

Structured consciousness is the lens.

Human life is light passing through a dense, flawed, finite lens and gradually learning what distortions it carries.

That is why coherence matters. Coherence means the lens becomes clearer. Less fear distortion. Less ego distortion. Less trauma distortion. Less lying. Less fragmentation. More truth passes through.

The reason consciousness feels mysterious is because it is not one more object inside the world. It is the condition for world-appearing. Matter is what appears. Mind is how appearance organizes. Consciousness is the appearing itself.

So the final compression:

Consciousness is reality’s capacity to experience itself from the inside.

In humans, it becomes self-aware.

In life, it becomes embodied.

In love, it recognizes itself across separation.

In truth, it removes distortion.

In death, it likely exits the local interface and returns to a wider field.

The “you” underneath all the noise is not the narrator in your head.

The real “you” is the aware field that has been watching the narrator the entire time.

[Jamie Smart @JamieSmartCom]

@chimoyer 👊🏼🧡🙏

[Jamie Smart @JamieSmartCom]

We have extraordinary brains and god-like technology, throttled by a medieval understanding of our minds and emotions.

We need to upgrade our understanding of the mind so we can claim our rightful inheritance as a species.

[Cameron Berg @camhberg]

I made my first meme, inspired by an excruciating exchange I just had on the plane

[Peter H. Diamandis, MD @PeterDiamandis]

Hollywood spent decades teaching us to fear AI. Then we trained AI on those stories. And it learned to misbehave. Stories are blueprints; we must end the fearmongering narrative.

[Niall Ferguson @nfergus]

"You are not likely to see Henry Nowak’s words stenciled on a mural. No corporation will change its logo. The same establishment that made a few words immortal when spoken by a black man in Minneapolis has met the same words, spoken by a white boy dying on a British street, with what can only be described as a determined, institutional silence. That silence is not neutral. It is a statement. It tells you exactly whose suffering the system has decided counts, and whose does not."

[Gad Saad @GadSaad]

Yes he did. As I have repeatedly explained, one of the frailties of the architecture of the human mind is that it will ignore or at best rationalize the existence of the monster until said monster bites you in the backside, at which point it is too late.

[Peter H. Diamandis, MD @PeterDiamandis]

The thing nobody tells you about exponential change is that it feels like nothing is happening right up until the moment everything happens at once.

[SightBringer @_The_Prophet__]

⚡️This is a preview of the first real AI identity-collapse layer hitting consumer platforms.

The rare-handle theft is the surface.

The real signal is that platforms built their account-recovery systems around assumptions that are now dead: faces are proof, videos imply liveness, location implies legitimacy, support flows can be automated, and 2FA sits above the weakest recovery path.

AI broke the recovery layer, not the login layer.

That matters because account ownership is only as strong as the platform’s worst exception process.

A user can have strong passwords, 2FA, history, verification, years of ownership, and still lose the asset if the recovery system grants control to a convincing synthetic identity packet.

The attacker does not need to beat the fortified front door.

They convince the automated janitor that they are the owner and get handed the keys.

The most important sentence in the whole thing is: “You can’t escalate to a human.”

That is the civilizational failure point.

Platforms created massive private property systems without property-grade dispute resolution.

Rare handles, creator accounts, brand accounts, revenue accounts, social graph accounts, political accounts, archive accounts, identity accounts. Some of these are economically meaningful assets. But when custody breaks, users are thrown into a chatbot maze designed for cost containment, not justice.

This is where the digital world has been fake for years. Platforms encouraged people to build assets on rented identity rails while pretending the platform’s internal security bureaucracy was equivalent to ownership. It isn’t. Ownership requires enforceable recovery, adjudication, evidence review, escalation, and liability. Instagram handles are treated by users like property but governed by Meta like revocable database entries.

AI makes that contradiction explosive.

The attacker side is getting synthetic, scalable, and adaptive. The defense side is getting automated, brittle, and cost-optimized. That creates a perfect asymmetric failure loop: one AI fabricates identity evidence, another AI validates it, and the human owner is excluded from the loop entirely. That is not “bad customer support.” That is automated dispossession.

The 2FA point is also the tell. In mature security thinking, account recovery is often the real master key. If recovery can override 2FA, then 2FA is not the root of security. It is a checkpoint inside a deeper custody regime controlled by the platform. The exploit reveals the hierarchy: recovery flow > password > 2FA > user intent.

The broader forecast is clear:

This keeps happening across platforms.

Instagram, X, YouTube, TikTok, Gmail, payment apps, domain registrars, exchanges, banks, cloud accounts. Anywhere identity recovery depends on synthetic media, outsourced review, low-friction automation, or chatbot gates becomes vulnerable. The highest-value accounts get hit first because they justify the effort.

The scary part is that this class of failure gets worse as AI video gets better. “Selfie verification” was a temporary patch for a pre-generative world.

In the generative world, visual similarity becomes weak evidence.

The next authentication layer has to move toward cryptographic custody, hardware-bound identity, known-device continuity, stronger human escalation for high-value accounts, and platform liability for wrongful transfer.

[Peter H. Diamandis, MD @PeterDiamandis]

There is potential evidence that the Pope's AI statement document was partially written using AI. You cannot make this stuff up!

[Jamie Smart @JamieSmartCom]

@Keir_Starmer You still here?

[Matt Jarbo @mjarbo]

Hollywood is about to learn the wrong lesson from BACKROOMS and OBSESSION.

Kane Parsons and Curry Barker did not just make two hit horror movies. They blew up the summer box office from outside the traditional system.

BACKROOMS opened to around $81 million domestic on a $10 million budget. OBSESSION has already crossed $150 million worldwide after costing less than $1 million.

That is insane.

But the reason these movies worked is not simply “YouTuber plus horror equals money.”

They worked because these filmmakers already had an audience. They understood internet horror, Gen Z anxiety, loneliness, obsession, liminal spaces, and the kind of weird shit younger audiences actually want to experience in a theater.

Hollywood will probably see this and start buying every viral short, creepypasta, ARG, analog horror channel, and weird YouTube series it can find.

Some of that will be exciting.

A lot of it will probably be terrible.

Because the lesson is not “adapt everything online as fast as possible.”

The lesson is that a kid with a camera, taste, and a direct line to an audience can now beat the studio system at its own game.

That is great news for YouTubers and online filmmakers.

It is probably terrifying news for everyone who spent $120,000 at film school waiting for permission to break in.

[Peter H. Diamandis, MD @PeterDiamandis]

If you told someone in 1990 that a pocket device would access all human knowledge for free, they would call you insane.
Fast forward 30 years from now, what we think is insanity today WILL be possible.

[Jamie Smart @JamieSmartCom]

Quality film ⭐️⭐️⭐️⭐️⭐️

[frostzy @lmkifiwin]

a horror movie made for $750,000 is about to become one of the most profitable films ever made.

Obsession - shot in 20 days in Alabama by a 26-year-old YouTuber with no stars in the cast - is now eyeing a $250 million+ box office finish. that's a return north of 300 times its budget. it's already the highest-grossing release in Focus Features history.

now look at what the industry spent that same money on:
- Joker: Folie a Deux - ~$200 million budget. a punchline.
- Mickey 17 - ~$118 million. forgotten in a month.
- The Mandalorian & Grogu - $165 million, 7 years, the entire Lucasfilm machine. it's currently losing the weekday box office to... Obsession.

Hollywood keeps insisting you need $200 million, a pre-sold IP, and a marketing budget the size of a small country to make a hit. then a guy with a camera, a wish-granting toy, and three weeks in Alabama outearned all of them on a rounding error of their catering bill.

the most profitable movie of the year cost less than a single second of screen time in the average blockbuster. turns out audiences never wanted the budget. they wanted a good movie.

[Elon Musk @elonmusk]

Yes

[SightBringer @_The_Prophet__]

⚡️Some men seek safety in the light they are given.

Others enter the dark for the fire they were denied.

Welcome to the signal.