Val Zudans MD

Frugal philosopher-physician
mitochondriac
knowledge seeker-sharer
EnSurf Eye

[Val Zudans MD @Zudans]

https://t.co/DvWs6vSquZ

[Val Zudans MD @Zudans]

I wonder if wind-down might even start 4 hours before bed. What say you?

In addition to avoiding blue-green-white led / overhead, stop eating earlier, and avoid excess hydration late. Avoid strenuous activity, physiologic and emotion stressors in this window.

See what that does to your sleep (in addition to sleep hygiene/ grounding mat) the next morning; you might be pleasantly surprised with how helpful respecting low cortisol window is at zero cost. 🤔

[Val Zudans MD @Zudans]

@ElieJarrougeMD It is a mass formation psychosis.

[Val Zudans MD @Zudans]

https://t.co/DvWs6vSquZ

[Val Zudans MD @Zudans]

@PeterDiamandis How about a robot understands anything, much less physics?

Maps not same as territory.

All (amazingly complex) map, zero territory.

Category error.

Mimics consciousness; never conscious.

[Val Zudans MD @Zudans]

Narcissistic personally disorder and irrational fear of death / missing out on living in present? 🤷‍♂️

Btw, “dashboard” readings of age are not age. Biological aging is more likely loss of ATP generating capacity, not ITOA. When he claims telomere length or epigenetic aging or any “markers of aging”, he knows not what this actually means (he is not alone in misunderstanding categories).

He (and most establishment medicine) is mistaking map for terrain.

[Val Zudans MD @Zudans]

https://t.co/EnmOiJFl7t

[Val Zudans MD @Zudans]

@NewDiscourses @ConceptualJames 1951.

[Val Zudans MD @Zudans]

@AmmousMD https://t.co/9jBH68F7Hp

[Val Zudans MD @Zudans]

https://t.co/2i4GAbBJqr

[Val Zudans MD @Zudans]

@AmmousMD https://t.co/jH8SzYSioZ

[Val Zudans MD @Zudans]

https://t.co/8F1umK99kb

[Val Zudans MD @Zudans]

Why do flighted birds have up to 10X maximum lifespan compared to rodents same size?

Answer to question may be clue to expanded healthspan

(hint… mitochondria might be involved)

Metabolic Hypothesis of Aging in link 👇

[Val Zudans MD @Zudans]

@BretWeinstein So, I think the way you might do it is to look at flighted bird evolution. 🤔

… and change hypothesis of aging.

Not oxidative model; not ITOA; not “AI”

[Val Zudans MD @Zudans]

@BretWeinstein So, I think the way you might do it is to look at flighted bird evolution. 🤔

… and change hypothesis of aging.

Not oxidative model; not ITOA; not “AI”

[Val Zudans MD @Zudans]

https://t.co/EnmOiJFl7t

[Val Zudans MD @Zudans]

Artificial intelligence (map) vs. artificial consciousness (terrain).

Why AC is ontologically impossible: consciousness does not emerge from compute.

[Val Zudans MD @Zudans]

It will take forever.

AI compute is very powerful, sophisticated map; it is not terrain.

Only a terrain entity (conscious agent) can drive AI compute (*** could be the system designer(s) and/or system user).

To the extent a map mimics terrain it is the creators consciousness(es) behind the illusion.

Consciousness does not emerge from compute; it is the other way around.

[Val Zudans MD @Zudans]

It will take forever.

AI compute is very powerful, sophisticated map; it is not terrain.

Only a terrain entity (conscious agent) can drive AI compute (*** could be the system designer(s) and/or system user).

To the extent a map mimics terrain it is the creators consciousness(es) behind the illusion.

Consciousness does not emerge from compute; it is the other way around.

[Val Zudans MD @Zudans]

In my experience treating geriatric ophthalmology patients it is undeniable that we are aging at different rates.

Question is not if, but why? 🤔

Biological age is not primarily determined by laps around the sun or informational decay alone imo.

Here is my hypothesis:

[Val Zudans MD @Zudans]

https://t.co/EnmOiJFl7t

[Val Zudans MD @Zudans]

@davidasinclair Under what ontology of aging? 🤔

Dashboard? Or engine?

[Val Zudans MD @Zudans]

https://t.co/EnmOiJFl7t

[Val Zudans MD @Zudans]

@brian_armstrong Congratulations.

But, are you working from the proper aging ontology? 🤔

Is aging on the dashboard or in the engine?

[Val Zudans MD @Zudans]

https://t.co/EnmOiJFl7t

[Val Zudans MD @Zudans]

https://t.co/EnmOiJFl7t

[Val Zudans MD @Zudans]

@davidasinclair Unless the lipid hypothesis of atherosclerosis has a root cause flaw… 🤔

[Val Zudans MD @Zudans]

https://t.co/8F1umK99kb

[Val Zudans MD @Zudans]

@pmarca @AOC … and almonds 🤷‍♂️

[Val Zudans MD @Zudans]

@lecerveau1996 @brivael Like AOL? 😭

[Val Zudans MD @Zudans]

1. Usefulness of compute is asymptotic. Free, local open source AI w agentic AI may already be sufficient for most common human purposes privately? If so, just need to write the specs.

2. Energy constraint is for frontier race, not local inference. Amazing what you can already do w current tech Mac mini. JEPA and other architectures further compress inference and training energy.

3. Ultimately winners are not landlords either; it is the real world businesses meeting human needs channeling unlimited free compute who win.

Elon still wins (along with many other people satisfying real world human values). Humans need communication (X, SpaceX), financial services (X), knowledge (X, Xai) transportation (Tesla), physical real world work (Tesla Optimus), exploration (SpaceX).

AI frontier race is fool’s game. Energy is interesting. Building energy for frontier AI race may be similar on surface to frontier model race; but w caveat that it can be repurposed to manufacturing which will always be energy intensive. Elon even had a great idea for AI frontier energy: 24/7 space based solar. But, unlike earth/moon/mars energy, not easily repurposed when you hit the asymptote.