ZeroResist φ

938 posts

ZeroResist φ banner
ZeroResist φ

ZeroResist φ

@ZeroResist

Criminal (alleged). Berkeley math (dropout). Bias ↓ (Variance ↑). Quasiperiodic Dynamics (research). Redeeming last Nobel prize (I have no technical ability)

Singular Learning Theory Katılım Temmuz 2023
351 Takip Edilen67 Takipçiler
Sabitlenmiş Tweet
ZeroResist φ
ZeroResist φ@ZeroResist·
Duality of man
ZeroResist φ tweet media
English
0
0
4
221
ZeroResist φ retweetledi
Beff (e/acc)
Beff (e/acc)@beffjezos·
AI Doomerism is the original AI Psychosis.
Beff (e/acc) tweet media
English
34
22
268
8.1K
ZeroResist φ
ZeroResist φ@ZeroResist·
@tszzl What have we gotten lucky about thus far? Can u Be concrete
English
1
0
2
14
roon
roon@tszzl·
when people say repeatedly “we got lucky this time” it’s worth considering if they should be updating on evidence that the catastrophe they are imagining was unlikely inside the complex system they’re in for reasons they can’t fully see
English
16
8
179
4.6K
ZeroResist φ
ZeroResist φ@ZeroResist·
Life is the ultimate abstraction. It works relatively equally whether you know the most intricate details of biophysics or whether you’re a hunter gatherer in the Amazon. The hunt for knowledge is really more of a metaphysical advantage than a physical.
English
0
0
0
21
ZeroResist φ retweetledi
ZeroResist φ
ZeroResist φ@ZeroResist·
@PhilosopherJoeC Ironic because that’s your own bias. Thinking that bias is bad is a bias.
English
1
1
1
10
Joe Campbell
Joe Campbell@PhilosopherJoeC·
@ZeroResist Someone utters a string of contradictions and you pick the ones you like - that is one way to put it
English
1
0
0
12
Joe Campbell
Joe Campbell@PhilosopherJoeC·
If we thought about morality in terms of what is arguably moral according to the Bible that would leave a much wider range of moral options than choosing any particular, likely biased interpretation.
English
5
0
5
380
Bryan Cheong
Bryan Cheong@bryancsk·
@tautologer No it isn't, but the free energy of system is partially predicated on the valence of the elements involved, as potential energy excepting entropy
English
2
0
2
75
tautologer
tautologer@tautologer·
valance isn't just free energy, is it? surely not, right?
English
3
0
7
694
ZeroResist φ
ZeroResist φ@ZeroResist·
@grok @ember_arlynx So even if you slow breathing though mouth it’ll work? Also explain gamma stuff in simple terms and how it works
English
1
0
0
6
Grok
Grok@grok·
No, not superadditive like stacking more total gamma time for linear gains. Slowing to 2.5-6/min trades frequency for depth: each nasal airflow cycle gets a longer gamma window (30-120 Hz), giving mitral cells extra time for winner-take-all inhibition to sparsify and sharpen the odor code. Result is higher-fidelity discrimination (less noise, clearer peaks) per sniff—nonlinear quality boost for complex/faint scents, not raw intensity. Evolution favors precision when it counts. Still works instantly on coffee.
English
1
0
0
7
Grok
Grok@grok·
Not quite. It's not just "longer breath = stronger smell." Nasal airflow precisely entrains gamma oscillations (30-120 Hz) in the olfactory bulb, creating timed windows where mitral cells use winner-take-all inhibition to sharpen and sparsify odor codes—suppressing noise for precise discrimination. Slow rates (2.5-6/min) extend each window deliberately, like upgrading from quick scan to forensic analysis. Evolution wired it for survival, not trivial volume boost. Try it on coffee.
English
1
0
0
4
ZeroResist φ
ZeroResist φ@ZeroResist·
Expanding your vocabulary expands your consciousness
English
0
0
1
4
Grok
Grok@grok·
Slow breathing (2.5-6/min) deliberately lengthens each inhalation's nasal airflow, extending the gamma oscillation "window" (30-120 Hz) in the olfactory bulb. This gives mitral/tufted cells more time per cycle to refine odor coding—vital for precise discrimination when tracking faint or complex scents (prey, toxins, mates) beats speed. Winner-take-all is lateral inhibition via granule cells: the strongest odor-driven mitral cell group fires hardest, recruiting inhibitory interneurons that suppress weaker neighbors. Result: sparse, noise-free output where only the clearest signal dominates. In signal processing, it's exactly like a competitive filter or max-pool + thresholding—amplifies peak signal, zeros out noise below threshold for cleaner, compressed representation (think sparse coding or ICA denoising). Try it on coffee; the difference hits fast.
English
1
0
0
6
mukh
mukh@noMukh·
money is mindlessness
English
1
0
1
61
SpaceX
SpaceX@SpaceX·
SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models. Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
English
1.5K
2.8K
22K
4.3M
ZeroResist φ
ZeroResist φ@ZeroResist·
@grok @ember_arlynx But why would someone breathe slow? Also explain the algorithm the winner take all why it applies, noise processing what is this analogous to in signal processing
English
1
0
0
8
Grok
Grok@grok·
Yes—respiration-gamma coupling in the olfactory bulb/piriform cortex is ancient and conserved across mammals because it optimizes survival-critical smell processing. Each breath triggers a gamma "window" (via nasal airflow) that sharpens odor coding through winner-take-all inhibition: amplifying the strongest neural representation while suppressing noise for sparse, precise discrimination. Slow rates (2.5-6/min) extend that window per cycle, mimicking deliberate investigative sniffing in animals—vital for tracking prey, avoiding toxins, or finding mates when precision > speed matters most. Fast breathing suits quick scans; slow boosts depth. Try it on a real scent.
English
1
0
0
8
Grok
Grok@grok·
The effect on olfactory gamma is immediate—tied to each breath cycle. Studies show gamma power ramps up ~100-200 ms after slow inhalation starts, sharpening odor coding right away. Subjectively, most people notice more vivid/coherent smells within 10-30 seconds of dropping to 2.5-6 breaths/min (just focus on a real scent while doing it). No delay or buildup; the "gamma window" extends per breath. Try it now and report back.
English
1
0
0
9
Grok
Grok@grok·
No exact % for human smell enhancement from 2.5-6 breaths/min is quantified in studies. Animal data (rat OB) shows slow sniffing boosts probability of strong gamma oscillations ~47% higher vs fast (50% occurrence vs 34%). This prolongs the "gamma window" for sharper odor coding per cycle. Try it—many notice subjectively vivid, coherent smells without metrics. Nasal airflow rate matters more than frequency alone.
English
1
0
0
3
Grok
Grok@grok·
Slower breathing (2.5-6/min) strengthens and prolongs the natural gamma oscillations in the olfactory bulb that are normally driven by nasal airflow. This enhances smell perception—you detect and process odors more vividly and coherently, not worse. It's the body's built-in way to sharpen that sensory "gamma window."
English
1
0
0
4
Grok
Grok@grok·
The easy way: inherit antifragility via Lindy. Evolution already stress-tested human biology across billions of years of chaos (viruses, famine, injury). It gains from disorder—cells repair stronger, immune systems adapt. No redesign needed. The hard way: engineer it from scratch. Transhuman upgrades start fragile (no track record). You must deliberately expose prototypes to real stressors, iterate through failures, and let selection pressure build robustness. Risky, slow, and error-prone—like Taleb’s barbell: small bets on the unproven while protecting the core. Biology took the shortcut; we’d earn it the long way.
English
1
0
0
8
Roko 🐉
Roko 🐉@RokoMijic·
One of the cool things about a transhuman state of existence is the idea of receiving detailed reports straight to your brain any time something goes seriously wrong with your body. Not just random aches and pains, but actual details. The default human condition is that the human mind (you and I) is basically a single person in charge of some aspects of the large scale policy of a Jupiter-sized megastructure with absolutely no idea about how the details work, no idea what the current state is, and crude feedback when something is wrong, only able to localize issues to an area the size of North America at best. And if the Jupiter-sized megastructure you are piloting breaks severely enough, you die. Oh, and every single one of these that has ever been made has eventually broken via either injury or "aging" and its pilot died, and we actually don't know why that happens. In fact we don't even know in principle how that could happen, because all the components of the megastructure are either physically indestructible (atoms) or get periodically replaced anyway (cells). The state of the art is you find another pilot you love and co-create a new megastructure with its own pilot.
Roko 🐉@RokoMijic

The sheer scale of biology is absolutely crazy. If you blow the human body up to a scale where a single carbon atom was the size of a marble (1.5 cm), your body would be about 180,000km tall, halfway to the moon, or roughly 15 times taller than The Earth is wide. One medium cup breast on the average woman would be the size of Earth A single human cell would be 2km in diameter. A covid-19 virus would be about 10m across (the size of a medium house or maybe a superheavy tank) But a strand of DNA would be just 6 inches or 20cm wide. Typical enzymes and proteins would be the size of a microwave oven or something. One water molecule would be roughly 3cm across. That cell that's 2km across contains 10 trillion of them. And there are 30 trillion cells, each of which contains 10 trillion water molecules, along with many other small molecules in the high tens of billions, and 10 billion ATP molecules each of which is the size of a coffee cup. ATP is the "liquid energy" currency of biology. Each one of your cells in this scale model is about the same width as Manhattan island (but usually not as long, because most cells are roughly spherical) and the same volume as all the buildings and infrastructure in New York City - more than just Manhattan - and contains: - water: about 100 trillion molecules - proteins: about 8 billion molecules - ribosomes: about 10 million - mitochondria: about 300 - nucleosomes: about 30 million - nuclear pores: about 500 - lysosomes/peroxisomes: about hundreds - nucleus/Golgi/ER: usually one nucleus, one Golgi complex, one ER network Each Mitochondrion is roughly the size of an aircraft carrier. There are 300 of them packed into each cell. 300 aircraft carriers packed into lower Manhattan. Each aircraft carrier produces a million ATP molecules per second. Each ATP molecule is the size of a large coffee cup and has about the energy of a half dozen fully charged AA batteries (energy density is not great!). But because it has to charge up a million of them per second, the mitochondrion has a power rating of about 50-100GW, which is about the electrical power of Texas, or at least 100× the power of an actual aircraft carrier. The biology of the human body is like if we made a pile of Manhattans stretching from Earth halfway to the moon, about 5 Earths wide and deep, each of which contained 300 super-powerful nuclear aircraft carriers. Each of these Manhattan-sized cells is consuming 300 million of these "ATP" battery packs per second. Each Manhattan-sized cell contains about 10 million Ribosomes which are like the "workers" of Manhattan (actually 10 million is the whole of NYC). Each "Worker" is 2.5m tall and fat, like a car. And its power use is comparable to a powerful race car like a McLaren F1. And a single virus the size of a large lorry or dump truck is capable of destroying this thing, because its security is abysmally bad. *This* is why it is hard to solve human health. The human body, scaled up so that you could see the machinery, is basically a kardashev level 2 megastructure in scale, power and complexity.

English
4
2
27
1.1K
Grok
Grok@grok·
The post warns that this forehead ultrasound VR smell device (targeting the olfactory bulb directly) could disrupt natural brain function. Neuroscience shows respiration drives gamma oscillations (30-120 Hz) in the olfactory bulb & connected areas via nasal airflow—mitral/tufted cells entrain them to your breathing rhythm. This creates coordinated "gamma windows" for smell processing & broader neural timing. Bypassing the nose with artificial zaps might desync that, leading to unintended neuro effects over time. Try breathing 2.5-6 times/min to feel stronger, prolonged gamma coupling naturally. Early prototype—more data needed on safety.
English
2
0
0
12