Tag: medicine

Defying Death

Posted in healthcare, language, nature, perception, philosophy, podcast, psychology, reality, religion, science, societyTagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 2 Comments

I died in March 2023 — or so the rumour mill would have you believe.

Of course, given that I’m still here, hammering away at this keyboard, it must be said that I didn’t technically die. We don’t bring people back. Death, real death, doesn’t work on a “return to sender” basis. Once you’re gone, you’re gone, and the only thing bringing you back is a heavily fictionalised Netflix series.

Audio: NotebookLM podcast of this content.

No, this is a semantic cock-up, yet another stinking exhibit in the crumbling Museum of Language Insufficiency. “I died,” people say, usually while slurping a Pumpkin Spice Latte and live-streaming their trauma to 53 followers. What they mean is that they flirted with death, clumsily, like a drunk uncle at a wedding. No consummation, just a lot of embarrassing groping at the pearly gates.

And since we’re clarifying terms: there was no tunnel of light, no angels, no celestial choir belting out Coldplay covers. No bearded codgers in slippers. No 72 virgins. (Or, more plausibly, 72 incels whining about their lack of Wi-Fi reception.)

There was, in fact, nothing. Nothing but the slow, undignified realisation that the body, that traitorous meat vessel, was shutting down — and the only gates I was approaching belonged to A&E, with its flickering fluorescent lights and a faint smell of overcooked cabbage.

To be fair, it’s called a near-death experience (NDE) for a reason. Language, coward that it is, hedges its bets. “Near-death” means you dipped a toe into the abyss and then screamed for your mummy. You didn’t die. You loitered. You loitered in the existential equivalent of an airport Wetherspoons, clutching your boarding pass and wondering why the flight to Oblivion was delayed.

As the stories go, people waft into the next world and are yanked back with stirring tales of unicorns, long-dead relatives, and furniture catalogues made of clouds. I, an atheist to my scorched and shrivelled soul, expected none of that — and was therefore not disappointed.

What I do recall, before the curtain wobbled, was struggling for breath, thinking, “Pick a side. In or out. But for pity’s sake, no more dithering.”
In a last act of rational agency, I asked an ER nurse — a bored-looking Athena in scrubs — to intubate me. She responded with the rousing medical affirmation, “We may have to,” which roughly translates to, “Stop making a scene, love. We’ve got fifteen others ahead of you.”

After that, nothing. I was out. Like a light. Like a minor character in a Dickens novel whose death is so insignificant it happens between paragraphs.

I woke up the next day: groggy, sliced open, a tube rammed down my throat, and absolutely no closer to solving the cosmic riddle of it all. Not exactly the triumphant return of Odysseus. Not even a second-rate Ulysses.

Here’s the reality:
There is no coming back from death.
You can’t “visit” death, any more than you can spend the afternoon being non-existent and return with a suntan.

Those near-death visions? Oxygen-starved brains farting out fever dreams. Cerebral cortexes short-circuiting like Poundland fairy lights. Hallucinations, not heralds. A final, frantic light show performed for an audience of none.

Epicurus, that cheerful nihilist, said, “When we are, death is not. When death is, we are not.” He forgot to mention that, in between, people would invent entire publishing industries peddling twaddle about journeys beyond the veil — and charging $29.99 for the paperback edition.

No angels. No harps. No antechamber to the divine.
Just the damp whirr of hospital machinery and the faint beep-beep of capitalism, patiently billing you for your own demise.

If there’s a soundtrack to death, it’s not choirs of the blessed. It’s a disgruntled junior surgeon muttering, “Where the hell’s the anaesthetist?” while pawing desperately through a drawer full of out-of-date latex gloves.

And thus, reader, I lived.
But only in the most vulgar, anticlimactic, and utterly mortal sense.

There will be no afterlife memoir. No second chance to settle the score. No sequel.
Just this: breath, blood, occasional barbed words — and then silence.

Deal with it.

The Rise of AI: Why the Rote Professions Are on the Chopping Block

Posted in philosophy, science, society, technologyTagged , , , , , , , , , , , , , , , , , , , , , , 2 Comments

Medical doctors, lawyers, and judges have been the undisputed titans of professional authority for centuries. Their expertise, we are told, is sacrosanct, earned through gruelling education, prodigious memory, and painstaking application of established knowledge. But peel back the robes and white coats, and you’ll find something unsettling: a deep reliance on rote learning—an intellectual treadmill prioritising recall over reasoning. In an age where artificial intelligence can memorise and synthesise at scale, this dependence on predictable, replicable processes makes these professions ripe for automation.

Rote Professions in AI’s Crosshairs

AI thrives in environments that value pattern recognition, procedural consistency, and brute-force memory—the hallmarks of medical and legal practice.

  1. Medicine: The Diagnosis Factory
    Despite its life-saving veneer, medicine is largely a game of matching symptoms to diagnoses, dosing regimens, and protocols. Enter an AI with access to the sum of human medical knowledge: not only does it diagnose faster, but it also skips the inefficiencies of human memory, emotional bias, and fatigue. Sure, we still need trauma surgeons and such, but diagnosticians are so yesterday’s news.
    Why pay a six-figure salary to someone recalling pharmacology tables when AI can recall them perfectly every time? Future healthcare models are likely to see Medical Technicians replacing high-cost doctors. These techs, trained to gather patient data and operate alongside AI diagnostic systems, will be cheaper, faster, and—ironically—more consistent.
  2. Law: The Precedent Machine
    Lawyers, too, sit precariously on the rote-learning precipice. Case law is a glorified memory game: citing the right precedent, drafting contracts based on templates, and arguing within frameworks so well-trodden that they resemble legal Mad Libs. AI, with its infinite recall and ability to synthesise case law across jurisdictions, makes human attorneys seem quaintly inefficient. The future isn’t lawyers furiously flipping through books—it’s Legal Technicians trained to upload case facts, cross-check statutes, and act as intermediaries between clients and the system. The $500-per-hour billable rate? A relic of a pre-algorithmic era.
  3. Judges: Justice, Blind and Algorithmic
    The bench isn’t safe, either. Judicial reasoning, at its core, is rule-based logic applied with varying degrees of bias. Once AI can reliably parse case law, evidence, and statutes while factoring in safeguards for fairness, why retain expensive and potentially biased judges? An AI judge, governed by a logic verification layer and monitored for compliance with established legal frameworks, could render verdicts untainted by ego or prejudice.
    Wouldn’t justice be more blind without a human in the equation?

The Techs Will Rise

Replacing professionals with AI doesn’t mean removing the human element entirely. Instead, it redefines roles, creating new, lower-cost positions such as Medical and Legal Technicians. These workers will:

  • Collect and input data into AI systems.
  • Act as liaisons between AI outputs and human clients or patients.
  • Provide emotional support—something AI still struggles to deliver effectively.

The shift also democratises expertise. Why restrict life-saving diagnostics or legal advice to those who can afford traditional professionals when AI-driven systems make these services cheaper and more accessible?

But Can AI Handle This? A Call for Logic Layers

AI critics often point to hallucinations and errors as proof of its limitations, but this objection is shortsighted. What’s needed is a logic layer: a system that verifies whether the AI’s conclusions follow rationally from its inputs.

  • In law, this could ensure AI judgments align with precedent and statute.
  • In medicine, it could cross-check diagnoses against the DSM, treatment protocols, and patient data.

A second fact-verification layer could further bolster reliability, scanning conclusions for factual inconsistencies. Together, these layers would mitigate the risks of automation while enabling AI to confidently replace rote professionals.

Resistance and the Real Battle Ahead

Predictably, the entrenched elites of medicine, law, and the judiciary will resist these changes. After all, their prestige and salaries are predicated on the illusion that their roles are irreplaceable. But history isn’t on their side. Industries driven by memorisation and routine application—think bank tellers, travel agents, and factory workers—have already been disrupted by technology. Why should these professions be exempt?

The real challenge lies not in whether AI can replace these roles but in public trust and regulatory inertia. The transformation will be swift and irreversible once safeguards are implemented and AI earns confidence.

Critical Thinking: The Human Stronghold

Professions that thrive on unstructured problem-solving, creativity, and emotional intelligence—artists, philosophers, innovators—will remain AI-resistant, at least for now. But the rote professions, with their dependency on standardisation and precedent, have no such immunity. And that is precisely why they are AI’s lowest-hanging fruit.

It’s time to stop pretending that memorisation is intelligence, that precedent is innovation, or that authority lies in a gown or white coat. AI isn’t here to make humans obsolete; it’s here to liberate us from the tyranny of rote. For those willing to adapt, the future looks bright. For the rest? The machines are coming—and they’re cheaper, faster, and better at your job.

Life Consciousness

Posted in consciousness, language, nature, perception, philosophy, videoTagged , , , , , , , 2 Comments

Language is life. Yet, this assertion immediately raises a fundamental question: which came first, life or consciousness? It’s a classic chicken-and-egg conundrum. Physicist Stuart Hameroff posits an intriguing idea—that consciousness might predate life itself. This radical notion suggests that consciousness isn’t merely a byproduct of biological processes but could be an intrinsic feature of the universe. However, there’s a snag.

The challenge lies in defining life and consciousness, two terms that lack universally accepted definitions. The absence of clarity here opens the door to a multitude of interpretations, making it easy to drift into what could be considered ‘airy faerie’ ambiguity. One must beware of the temptation to engage in intellectual exercises that lead nowhere—what might be termed ‘mental masturbation.’ This is a prime example of the insufficiency of language.

Audio: Podcast commentary on this topic.

Life and consciousness, as concepts, are elusive. Unlike straightforward nouns or adjectives—where we can confidently say, “That’s a dog,” “That’s a tree,” or “That’s green”—these terms are far more complex. They are attempts to encapsulate observed phenomena, yet we lack the precise language and understanding to pin them down definitively. The video linked above provides perspectives on various approaches to defining these terms, but none prove wholly satisfactory. This lack of satisfaction might suggest that our conventional understanding of life and consciousness is flawed. To be fair, one might even entertain the idea that life itself is an illusion, a construct of consciousness.

This ambiguity isn’t confined to the realms of life and consciousness. I recently shared a post on the topic of gender, which illustrates a similar issue. Originally, there was no concept of gender. The earliest distinctions made were between animate and inanimate. Over time, these distinctions became more nuanced. Whether or not a proto-word for life existed at that time is unclear, but the idea of animation being linked to life was beginning to take shape. The concept of gender evolved much later, driven by the need to categorize and define differences within the animate category.

The evolution of language reflects the evolution of thought. Yet, when we dig deep into these foundational concepts, we encounter the same problem: how can we argue the precedence of two concepts—life and consciousness—when neither has a solid foundation in language? If our words are inadequate, if they fail to capture the essence of what we are trying to convey, then what does that say about our understanding of the world?

Perhaps it suggests that our linguistic and cognitive tools are still too crude to grasp the true nature of reality. Or maybe it hints at a deeper truth: that some aspects of existence are beyond the scope of human understanding, no matter how sophisticated our language becomes. After all, if consciousness predates life, as Hameroff suggests, then we may need to rethink our fundamental assumptions about existence itself.

Ultimately, this exploration reveals a paradox at the heart of human knowledge. We seek to define and categorise, to impose order on the chaos of the universe. Yet in doing so, we must confront the limits of our language and, by extension, our understanding. Perhaps the true essence of life and consciousness lies not in definitions or categories but in the very act of questioning, the relentless pursuit of knowledge that drives us forward, even when the answers remain elusive.