Across domains, science overdevelops state descriptions of parts and underdevelops control descriptions of assemblies.
We are good at inventories and bad at choreography.
The goal is to define an "Anonymity Code Space" A small set of allowed boundary macrostates: • a small number of message envelopes (sizes) • a small number of timing schedules (epochs/ slots) • a small number of fee buckets • a small number of transport behaviors • no stable identifiers Then you build "geometric locks" so wallets/ services cannot leave the code space even under stress. This is the big move: instead of trying to predict every future attack, you constrain which observable states are even possible.
Thank you @hijinxart.bsky.social for the brilliant jumping off ideas as always
"Swap the crypto primitive" is vaccine-thinking. In a true post-quantum regime, the attacker's advantage is not just breaking one lock. It's that they can change the entire correlation geometry of the world: what can be measured, stored, fused, replayed, and used to force state transitions.
COVID didn't just "attack one organ." It: • broke weak couplings, • induced dysregulation, • created long-tail chronic effects, • and exploited fragile interfaces. A "post-quantum COVID" threat looks like: 1. attacker increases AR (measurement precision) 2. attacker applies boundary forcing (B→S) by censoring a few transports/providers 3. wallets enter fallback behaviors → new fingerprints 4. fingerprints drive users into custodians → centralization drift 5. drift creates chokepoints → censorship becomes easier 6. the system enters a new pathological attractor (chronic illness state)
Post quantum security engineering and secure design / pen testing
There’s more to quantum security than is this cryptographic algorithm going to be secure.
I’m trying to suss out what true quantum security looks like in a distributed system like Zcash
A screenshot from CoinGecko showing a privacy coin called verge with history of how it was once called dogecoin dark suggesting since we are in a privacy meta in society and crypto now that another opportunity for the market to send something sky high like what doge did last bull run. This could be doge 2.0 with actual better fundamentals to boot (except for it not being merge mined with ltc)
it’s obvious that we are finally moving into times where people will recognize the importance of privacy in crypto. Zcash is hands down the play.
Except… maybe this runs first…
Verge is a forgotten privacy coin that was once DOGECOIN DARK = Privacy doge? = xvg 🌙
They even added liquidity on base
Crypto chart for drgn showing what looks like a potential 2000x
Dragonchain market cap under $10 mil
I’m looking to establish a few things in life that can in hindsight validate some competencies of mine absent social proof.
Figure 1: a potential 200-2000x return from this crypto $drgn. Unreal Volume at lows accumulating months, no perps adding dilution, beat SEC after years, enterprise tooled
Today I found a second copy of a bunch of my old photography that I thought might be gone forever if I can’t get my NAS array back up. Feeling immensely relieved.
Something under-appreciated is how AI hallucinations can actually provide valuable signal. If we are working with probability & pattern matching engine, then they aren’t random. If for instance a research paper is referenced that does not exist the latent geometry might imply it should. That’s data!
I really like the idea of treating data like personally identifiable information (PII) the same way we treat toxic waste. If you make holding and aggregating data that could be an egregious privacy violation a liability on the balance sheet instead of an asset then you align the incentives better
Found an old picture on my phone. There’s an oto bin, ban, and biscuit and so either stuff too but I don’t have a picture of the lower shelves handy. I have no idea what prices are these days is it still reverb? I ran an eBay side business for 20years but got exhausted by it so out of touch now
I might have a Burf I could let go (I’ll check when I’m back home I don’t recall but I’m pretty sure I have that the phaser abd the ring mod) if you want it (or any other pedal type stuff). I don’t have a lot of time for that stuff these days and the next few months are going to be pretty tight here
We’ve trained behavior that only benefits a certain subset of tasks optimally by default and it’s incredible how much better that meta instruction can make interactions.
Lately one of my favorite directives for AI when working with long exploratory research is literally to tell it to bias against its RLHF impulses. Sometimes I have to clarify I don’t mean the “harmful stuff” but the need to provide quick answers or actionable solutions immediately.
Very cool I’ll need to explore further soon!
Wow how am I just now hearing about this?
I’ve traditionally been better at architecture than low level code. The question I’m curious about is do we reach a point where AI can code so well that I’m essentially just project managing.
I am trusting the AI math at this point. I think as hardware improves this starts to become less of an issue as well. More concerned if I can even pull this off at this point, but it seems needed so I will try. I’m not at all a fan of our current method of alignment as it reads like trauma to me.
Per-token proof costs 100-500 ms if you run a full Halo 2 circuit for each symbol. 1. Commit-now / prove-later split. At generation time the model posts a commitment to its logits (Poseidon(hash)). The user sees the token instantly.• A background prover batch-aggregates 20-50 commitments into one recursive proof, finishes in ~ 500 ms. Proof size balloons linearly with token count. Counter-measure 2. Folding / incremental aggregation (Nova, Hyper-Nova) Each new token folds into the previous accumulator; proof size stays O(log n).
GPU prover hogs the same card as the model. 3. Asymmetric off-load LLM on A100; proof farm on cheap RTX or FPGA pool.• Proof input = logits commitments (32 B) → tiny bandwidth. Worst-case spikes when the user pastes a huge prompt. 4. "Horizon proof" window (borrowed from Tachyon) Only the last k tokens (e.g., 128) are inside the live accumulator; earlier ones roll into a coarse batch proof produced on idle cycles.
Breaker branches expand the circuit mid-chat. 5. Opportunistic tiering• Silver tier: Poseidon + recursion for "conversational" proofs (sub-second). • Gold tier: Keccak + lookup audit produced once user hits "export conversation." Human wants instant assurance a policy wasn't violated. 6. Verifiable delay + SLAsClient checks commitment hash immediately; if full proof fails to arrive in, say, 2 s, Ul shows Alrrt
Can get back to zk epistemic kernel for AI once I finish recovery & migration from my big comp crash. For now sanity checks
"How do you handle the computational overhead of generating ZK proofs for every token? The latency could break the conversational flow that makes these interactions valuable."
Conventional RDAs are averaged from weight-stable, low-turnover adults— essentially "no active construction zone." Yet chronic-illness physiology behaves more like thousands of micro-wounds healing at once, so the true nutrient demand is closer to what burn wards and pressure-ulcer units already use for macro-wounds. Comparing those two worlds exposes where textbook needs are almost certainly underestimated.
What if a huge part of chronic illness is inadequate nutrition because our guidelines on many things are off by a factor of 2-10x.
If you don’t have enough building blocks you can’t ever fix the house.
Wait wait Pollack’s 4th phase of water, exclusion zone (EZ) would imply collagen networks are sorta like billions of tiny biological capacitors 🤯 wow. Lots to think about here.
Is Robo Melody Real Music?
First preview of my new music video
With editing assistance from @hijinxart.bsky.social
#aimusic #aiart #breakbeat #musicsky
You know how birth control pills have a cycle? Well so does a ton of other stuff; we just collectively decided to ignore timing because it would be “too difficult” for people to follow, but if you aren’t fighting natural cycles it turns out medications actually land more consistently #rhythmmedicine
Between getting my discord account nuked a few years ago and losing a bunch of stuff, and losing my NAS earlier this week I am reminded of how fragile things are even with redundancy and this seems like a good option for plenty of my work right now. The new formula support sounds really nice
Well my NAS broke & I lost 5 drives out of my raid array but since I can’t afford to replace it I’ll just have to pray I didn’t lose data until I can. With my main computer bluescreening every 5 minutes and my laptop screen intermittently turning into glitch art I could use some luck here :/
Reframing executive disorders as rhythm disorders unifies diverse diagnoses under a coherence‑first lens and opens a practical toolkit of rhythm‑tuning interventions.
Posted as a collectable nft and CC licensed for anyone else who wants to consider something new
Loop 1/5
objkt.com/tokens/KT1JY...
Timing, not sheer processing power, underwrites continuity of thought and action. A two‑hertz wobble in frontal‑midline θ can explain “time blindness”; beta over‑lock can freeze both gait and decision flexibility; slow‑wave creep during metabolic crash produces the felt fog of long‑COVID fatigue. ⤵️
We propose that the Oscillatory Loop, a cortico‑thalamo‑basal‑ganglia–cerebellar network, is the brain’s chief metronome. When its nested rhythms (δ/θ sampling, α gating, β set‑keeping, γ content‑coding) drift or freeze, every downstream loop inherits the chaos.⤵️
The Oscillatory Loop: Temporal Coherence and Executive Rhythm in Neurocognitive Loop 1 Modern cognition rides on five nested control loops; this monograph dissects the first and foundational member—the Oscillatory Loop—which supplies the temporal beat that lets the other four loops (Gating, Feedback‑Trust, Symbolic Continuity, Metabolic Pacing) phase‑lock into coherent executive function. Executive dysfunction is usually framed as a chemical shortage, a cognitive bias, or a motivational lapse. Yet across ADHD, trauma, Parkinsonism, brain‑fog and autistic overload we see a common signature: the brain’s timing falls out of sync. What, exactly, is failing? We propose that the Oscillatory Loop, a cortico‑thalamo‑basal‑ganglia–cerebellar network, is the brain’s chief metronome. When its nested rhythms (δ/θ sampling, α gating, β set‑keeping, γ content‑coding) drift or freeze, every downstream loop inherits the chaos. Section 1 maps the loop’s frequency architecture; Section 2 traces its anatomic relays; Section 3 details neuromodulator control (dopamine, GABA/GLU, ACh, NE); Section 4 classifies pathology‑specific dysrhythmias; Section 5 tests rhythm‑restoration tools—from neuromodulation to breath‑entrainment—and shows preliminary EEG shifts in pilot cohorts. A closing bridge chapter previews how the four companion monographs will build on this tempo‑setter to form a full Executive Disruption Model. Timing, not sheer processing power, underwrites continuity of thought and action. A two‑hertz wobble in frontal‑midline θ can explain “time blindness”; beta over‑lock can freeze both gait and decision flexibility; slow‑wave creep during metabolic crash produces the felt fog of long‑COVID fatigue. Restore the beat and the mind’s ensemble re‑synchronizes. Reframing executive disorders as rhythm disorders unifies diverse diagnoses under a coherence‑first lens and opens a practical toolkit of rhythm‑tuning interventions.
Executive dysfunction is usually framed as a chemical shortage, a cognitive bias, or a motivational lapse. Yet across #ADHD, #trauma, Parkinsonism, brain‑fog and #autistic overload we see a common signature: the brain’s timing falls out of sync. What, exactly, is failing?⤵️
Many years ago I asked my friend, who is now a successful art director, what the best advice they ever received was—their response “design for delight.”
I’ve tried to keep that in mind with everything I do ever sense.
