Masterinpeace

Still true

I edited the intro because I realized I buried the lede originally- The 1M context window is a double-edged sword. It allows Claude to do more complex tasks but it can also leads to more context pollution if you don't manage your session well. This is how you do that:

Dogfooding Opus 4.7 the last few weeks, I've been feeling incredibly productive. Sharing a few tips to get more out of 4.7 🧵

The mystery of Satoshi Nakamoto, the pseudonymous inventor of Bitcoin, has remained unsolved for 17 years. Not anymore. Read my 18-month investigation to find out who Satoshi really is. nytimes.com/2026/04/08/bus…

My friend Milla Jovovich and I spent months creating an AI memory system with Claude. It just posted a perfect score on the standard benchmark - beating every product in the space, free or paid. It's called MemPalace, and it works nothing like anything else out there. Instead of sending your data to a background agent in the cloud, it mines your conversations locally and organizes them into a palace - a structured architecture with wings, halls, and rooms that mirrors how human memory actually works. Here is what that gets you: → Your AI knows who you are before you type a single word - family, projects, preferences, loaded in ~120 tokens → Palace architecture organizes memories by domain and type - not a flat list of facts, a navigable structure → Semantic search across months of conversations finds the answer in position 1 or 2 → AAAK compression fits your entire life context into 120 tokens - 30x lossless compression any LLM reads natively → Contradiction detection catches wrong names, wrong pronouns, wrong ages before you ever see them The benchmarks: 100% recall on LongMemEval — first perfect score ever recorded. 500/500 questions. Every question type at 100%. 92.9% on ConvoMem — more than 2x Mem0's score. 100% on LoCoMo — every multi-hop reasoning category, including temporal inference which stumps most systems. No API key. No cloud. No subscription. One dependency. Runs on your machine. Your memories never leave. MIT License. 100% Open Source. github.com/milla-jovovich…

@Giovann35084111 Amazing fit. Would be interesting to see if it holds out of sample. Specially when splitting the series before a major drop/rise and also for reference before a stable period.

🧵 THREAD: We just proved Bitcoin's 4-year halving cycle is a fundamental eigenmode of the system Using eigenvalue decomposition (SSA + DMD), we discovered something remarkable about Bitcoin's price dynamics. Let me explain what we did and why it matters... 1/ What are eigenvectors? Think of Bitcoin price as a complex signal - like a symphony with multiple instruments playing at once. Eigenvectors are the "fundamental notes" that compose this symphony. Each eigenvector captures a distinct pattern in the data, ranked by importance. 2/ How we found them: Singular Spectrum Analysis (SSA) We worked in LOG SPACE (critical!) because Bitcoin spans 6 orders of magnitude ($0.05 → $125k). We created a "trajectory matrix" from the price history and decomposed it using SVD (Singular Value Decomposition). Think of it as separating the signal into layers. 3/ What we discovered: Eigenvector 1: 98.70% of variance→ This IS the power law: Price ∝ t^5.7 → The fundamental attractor of the system → Bitcoin's "base note" Eigenvectors 2-6: 1.29% of variance→ Oscillations around the trend → This is where the magic happens... 4/ Then we applied Dynamic Mode Decomposition (DMD) DMD extracts the "Koopman eigenvalues" - these tell us the frequencies and growth rates of oscillations. We found: Short cycles: 15-30 days (market microstructure) MODES 5-6: Period = 1,530 days = 4.19 YEARS The halving cycle! 5/ Why this matters: The 4-year cycle isn't just a coincidence or narrative - it's a fundamental eigenmode of Bitcoin's dynamics. Eigenvalue |λ| = 0.9985 (slightly decaying, stable oscillation). It exists as a persistent oscillation in log-space around the power law attractor. 6/ The physics: This is exactly what renormalization group theory predicts for complex systems: A power law fixed point (dominant eigenvalue) Log-periodic oscillations (subdominant eigenvalues) Stable, bounded dynamics (all |λ| ≈ 1) Bitcoin behaves like a critical system near a phase transition. 7/ Why log space was critical: In LINEAR space: 4-year cycle INVISIBLE (buried in noise) In LOG space: 4-year cycle CLEAR (eigenmode 5-6) Why? Halvings affect price MULTIPLICATIVELY (% changes), not additively. Log space reveals the true geometry of the dynamics. 8/ Reconstruction: Blue line = Eigenvector 1 + Eigenvectors 2-6 Red line = Power law fit R² = 0.9678 (better than raw data!) We reconstructed Bitcoin's full price dynamics from just 6 eigenvectors. The math works. The physics checks out. 9/ Bottom line: The Bitcoin power law isn't just a trend line. The 4-year cycle isn't just protocol mechanics. They're fundamental eigenmodes of a complex dynamical system - proven through eigenvalue decomposition. This is physics, not hopium. TL;DR: Decomposed BTC price into eigenvectors (SSA) Found power law = dominant eigenmode (98.7%) Found 4-year halving = oscillatory eigenmode (DMD) Reconstructed full dynamics from 6 components Log space was key Math + physics confirm: Bitcoin is a critical system

@tomyoungjr @dotkrueger Priceless

@dotkrueger I had two giant burritos last night. Something BIG indeed is coming.

Something ₿IG is coming TODAY!

Can BTC price be forecast better than this when testing truly out of sample? Maybe not. But good news is power law works on long time horizons.

Why do people always buy the top and sell the bottom? @_Checkmatey_ is one of the best on-chain analysts in Bitcoin and is here to explain. This new episode is about where we are in the cycle, what the data says about investor behavior, and why the crowd always times it wrong. TIMESTAMPS: 00:00 What is on-chain analysis and why it matters 2:57 Spent vs. unspent Bitcoin: the framework everyone should know 7:12 Long-term vs. short-term holders: who's actually moving the market 10:39 Bulls' last stand at $95K? What the data showed 14:49 Why the 2025 bull run stalled -- the real story 20:04 Unrealized losses...how scared should we be? 26:08 Is the Bitcoin bottom in? James gives his read 32:29 How James became one of Bitcoin's best analysts 35:33 Quantum computing and Bitcoin -- threat or hype? 39:19 The 118x Bitcoin multiplier myth busted 42:30 Retail vs. institutional buyers: who's winning right now

One big difference between this bear market and the last is we have a whale permanently taking big blocks of Bitcoin off the market. What is amazing (and surprising even to me) is he's still raising significant amounts of capital to do this despite sentiment being at historic lows. These capital raises have much more power as Bitcoin falls (obviously) because more Bitcoin can be pulled from the market for the same amount of dollars. Eventually bears and those who wanted to liquidate exhaust their selling supply and and a floor is set. When other market participants realize this and that Bitcoin didn't die, Saylor will be joined in accumulating BTC in size. I don't think that has quite happened yet, but when it does... 🚀

THEY DID IT. The SEC and CFTC just dropped a landmark document that officially classifies crypto assets. They're actually telling us which crypto assets are securities and which ones aren't - by name! THIS IS SOMETHING GENSLER REFUSED TO DO (he focused on prosecuting crypto out of existence) This rule doc gives crypto many of the benefits of the clarity bill - it lifts us out of the gray market - it gives every asset a path. It's almost like the Clarity act just passed by way of regulator. (of course, the actual clarity act will harden all this into legislation and make it irreversible in the event we get another Gensler, we still want it) This rule says there's 5 categories for crypto assets: 1) Digital Commodities - assets tied to a functional, decentralized crypto system (e.g., BTC, ETH, SOL, XRP, ADA, DOGE). Not securities. (yes, they name them on page 14) 2) Digital Collectibles - NFTs, meme coins, artwork tokens, in-game items. Not securities (fractionalized collectibles may be an exception). 3) Digital Tools - membership tokens, credentials, domain names (e.g., ENS). Not securities. 4) Stablecoins - payment stablecoins under the GENIUS Act are not securities. Other stablecoins, it depends. 5) Digital Securities - tokenized versions of traditional securities. Like tokenized stocks. Always securities. Amazing! This makes so much sense I can't believe it's coming from a regulator. No more enforcement threats to Ethereum developers and crypto exchanges. How about the Howey test? More common sense! If an issuer makes specific promises of managerial efforts from which buyers expect profits, the offering is a security until those promises are fulfilled. Then it's a commodity. The asset itself was never the security, the deal around it was. (E.g. XRP was a security pre launch, became a commodity after). How about stuff like staking and mining? Mining? Not a securities transaction. Staking? Also not a securities transaction, that includes custodial and liquid staking even with LSTs! How about wrapping BTC? Not a securities transaction. Airdrops? NOT SECURITIES. NO MORE GEO BANS PROTECTING AMERICANS from free airdrops. Remember this is a joint doc from the SEC and CFTC, They're actually cooperating on this, no internal strife, this is binding to both. SEC regulates $80-100 trillion assets CFTC regulates $5-10 trillion assets Both of the world's largest capital markets are showing us that crypto assets are here to stay and they're welcome alongside traditional assets. Every country will follow. This is the biggest move toward legitimacy I've seen in all my time in crypto. Maybe bigger than the genius act since is covers all crypto assets. Well done @MichaelSelig and @SECPaulSAtkins. And especially well done to the indefatigable @HesterPeirce. Her fingerprints are all over this, couldn't have happened without her eight years of principles-based curiosity.

@hasantoxr Human peer review will not scale.

Holy shit...Someone built an AI system that takes a research idea and outputs a full academic paper. Real citations. Real experiments. Conference-ready LaTeX. Zero human input. It's called AutoResearchClaw. And the pipeline is insane. Here's what actually happens when you type one command: It searches arXiv and Semantic Scholar for real papers. Not fake citations actual literature with 4-layer verification: arXiv ID check, CrossRef DOI lookup, Semantic Scholar title match, and LLM relevance scoring. Hallucinated references get killed automatically. Then it designs and runs real experiments. Hardware-aware auto-detects whether you have NVIDIA CUDA, Apple MPS, or just CPU, and adapts the code accordingly. When experiments fail, it self-heals. When results don't support the hypothesis, it pivots to a new direction on its own. Then it writes the paper. 5,000-6,500 words. Section by section. Multi-agent peer review with methodology-evidence consistency checks. Then it revises based on those reviews. Then it outputs conference-ready LaTeX. NeurIPS, ICML, ICLR templates. Compile-ready for Overleaf. BibTeX references auto-pruned to match inline citations. The whole thing runs across 23 stages and 8 phases. Three human-approval gates if you want them. Or just pass --auto-approve and walk away. What you get back: → Full academic paper draft → Conference-ready LaTeX + BibTeX → Experiment code + sandbox results + charts → Peer review notes → Verification report on every citation This is what autonomous scientific research actually looks like in 2026. 100% Opensource. MIT License. Link in comments.

🔥STRATEGY BUYS $1.5 BILLION IN BITCOIN - MSTR IS GOING TO DOMINATE THE ENTIRE WORLD🔥 STRATEGY just dropped another 8-K and the Bitcoin bears are currently pacing around their studio apartments like raccoons that found out the dumpster is on fire. This week the machine raised over $1.5 billion, bought 22,337 more Bitcoin, pushed total holdings to 761,068 BTC, and proved that STRC is rapidly becoming a serious capital markets weapon. The balance sheet got heavier, the funding engine got smarter, and the anti-MSTR commentariat got hit in the face with another folding chair made of SEC filings. In this video, I break down why this update is so insanely bullish, why STRC changes the game for common shareholders, why the dilution doomers keep getting sent to the shadow realm by basic arithmetic, and why Strategy is starting to look less like a company and more like a state-sponsored orange liquidity vacuum wearing a necktie:

@jamieminer This is simple. There is no one technical in the panel, to answer Hector. That’s ok, it happens. Just get @TomerStrolight to explain the technical aspects of bitcoin protocol to him.

@jamieminer Hector is wrong, but you need someone technical to explain the protocol in detail.

@jamieminer It’s the nodes that signal, not the miners. Miners pick transactions to certify.

@jamieminer Gold can be created iflscience.com/gold-can-be-ma…

@Ultimecia2171 @Giovann35084111 I gave Claude the graph and asked for the calculation. But didn’t double check.

@Masterinpeace @Giovann35084111 I'm on mobile, but isn't a 50% drawdown 10^0.3? Eyeballing it, it looks like it's more like 500 days (middle point between 10^2 and 10^3).

Give me how big the drawdown is and we can predict how long it will last. I will do this soon with the current one.

I got tired of checking my Claude token usage so I vibecoded a burn monitor on an ESP32-based M5StickC Plus2. Periodically updates over Wi-Fi or phone hotspot .