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Tiv

@tivwtf.bsky.social

📸 🤖🧠 🎨 #trashion enthusiast Trying to heal chronic illness and reclaim agency from extractive systems

104 Followers  |  170 Following  |  190 Posts  |  Joined: 18.01.2025  |  2.3782

Latest posts by tivwtf.bsky.social on Bluesky

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)

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)

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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

19.09.2025 12:32 — 👍 0    🔁 0    💬 0    📌 0
Crypto chart for drgn showing what looks like a potential 2000x

Crypto chart for drgn showing what looks like a potential 2000x

Dragonchain market cap under $10 mil

Dragonchain market cap under $10 mil

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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

19.09.2025 12:17 — 👍 0    🔁 0    💬 0    📌 0

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.

13.08.2025 21:09 — 👍 0    🔁 0    💬 0    📌 0

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!

30.07.2025 18:13 — 👍 1    🔁 0    💬 0    📌 0

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

08.07.2025 18:07 — 👍 0    🔁 0    💬 0    📌 0
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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

06.07.2025 13:43 — 👍 1    🔁 0    💬 1    📌 0

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

06.07.2025 13:15 — 👍 1    🔁 0    💬 1    📌 0

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.

25.06.2025 20:09 — 👍 0    🔁 0    💬 0    📌 0

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.

25.06.2025 20:06 — 👍 1    🔁 0    💬 1    📌 0
Post image 24.06.2025 00:00 — 👍 110    🔁 12    💬 0    📌 2

Very cool I’ll need to explore further soon!

21.06.2025 19:39 — 👍 0    🔁 0    💬 0    📌 0

Wow how am I just now hearing about this?

21.06.2025 18:42 — 👍 2    🔁 0    💬 1    📌 0

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.

17.06.2025 20:48 — 👍 0    🔁 0    💬 0    📌 0

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.

17.06.2025 20:45 — 👍 2    🔁 0    💬 1    📌 0
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).

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.

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

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."

17.06.2025 20:40 — 👍 0    🔁 0    💬 1    📌 0
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.

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.

14.06.2025 14:44 — 👍 0    🔁 0    💬 0    📌 0

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.

14.06.2025 02:31 — 👍 0    🔁 0    💬 0    📌 0
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Is Robo Melody Real Music?

First preview of my new music video

With editing assistance from @hijinxart.bsky.social

#aimusic #aiart #breakbeat #musicsky

12.06.2025 23:08 — 👍 5    🔁 0    💬 0    📌 0

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

07.06.2025 18:42 — 👍 1    🔁 0    💬 0    📌 0

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

07.06.2025 14:12 — 👍 0    🔁 0    💬 0    📌 0

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 :/

05.06.2025 20:59 — 👍 0    🔁 0    💬 0    📌 0
objkt.com

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...

05.06.2025 19:10 — 👍 0    🔁 0    💬 0    📌 0

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. ⤵️

05.06.2025 19:10 — 👍 0    🔁 0    💬 1    📌 0

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.⤵️

05.06.2025 19:10 — 👍 1    🔁 0    💬 1    📌 0
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.

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?⤵️

05.06.2025 19:10 — 👍 2    🔁 0    💬 1    📌 0

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.

03.06.2025 00:46 — 👍 1    🔁 0    💬 0    📌 0

1337? 😂 Perfect

02.06.2025 17:02 — 👍 0    🔁 0    💬 0    📌 0

The irony

01.06.2025 16:48 — 👍 1    🔁 0    💬 1    📌 0
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Unprecedented Times pt 2

You can own it minted on Tezos backed up on Arweave at max resolution with BLAKE3 hash. Limited edition of 50.

objkt.com/tokens/KT1A8...

Supporting my art helps me put more energy into my research to heal chronic illness and advance emergent trauma-informed ai alignment

01.06.2025 15:22 — 👍 2    🔁 0    💬 0    📌 0
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I finally finished a #musicvideo I’ve been working on in my free time. “Unprecedented Times” is inspired by those weird intercoms during Covid.

I think I’m close to something big in my research and trying to get it organized so I can share more soon. Going to need help.

Pt 2⤵️

#ai #art #trashion

01.06.2025 15:22 — 👍 1    🔁 0    💬 1    📌 0

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