wizard in training , aetheric engineer apprentice, appreciater of fine weirdness and hidden wisdoms & MRVP + Phi-finder https://xitter.cf/t.co/9HPqkMKI3H

Joined April 2025
Had this massively fun chat earlier today. Wanted to share the pre public drop here in case any of my friends wanted an early peep Still working on hyperlinks and stuf for description * Multiple shout outs. Including : Sir 4 orb @AshtonForbes youtu.be/X5YT6N3SpR0?is=RgkA…
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Evan Howell retweeted
The Government™ has made an ad about the protests happening around the world, and it’s surprisingly honest and informative.🌍🌎🌏
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Negentropy then by nature a self organization of informational density... for 100 Alex
💯 It’s the holy grail for all science really. Time isn’t actually about how many times we circle the sun. It’s about how well we continuously recover stored information and rebuild from it. Entropy should be seen as a decrease in signal to noise ratio during that process.
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Currently Reach Restricted from the Q Post 1547 Content. So I Made a video for the Dreamers. The Explorers. The Ones Who Know this isn’t all there is, and Yearn to See What’s Out There. For the Ones Tired of Living in a False Reality. And Tired of Pretending it isn’t. This One is for you. Be Free.
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Boundary condition processing. Love it personally *
⚡️ What if artificial intelligence could run on light instead of electricity? Scientists at Tsinghua University in China have developed a brain-inspired chip called Taichi that uses light to perform AI calculations. Instead of relying on traditional electronic circuits, it uses beams of light to process information. But here is the surprising part: the researchers reported an energy efficiency of up to 160 trillion operations per watt in their tests. This could point toward a future where AI systems perform complex tasks while using far less energy. Why does this matter? Today's AI systems need enormous computing power, which can require large amounts of electricity and generate significant heat. Photonic chips like Taichi could offer a new way to tackle this challenge. However, Taichi is an experimental technology, and its laboratory results do not mean it can already replace today's AI chips in data centers. More development is needed before its full potential becomes clear. Could light-powered computers help shape the next generation of artificial intelligence? Source: Wang, T., et al. (2024). An optical computing chip for parallel convolutional processing. Science.
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Evan Howell retweeted
I could use your help with my fundraiser on GoFundMe. Please share, support, or donate—every small action counts. gofund.me/221134ee7 Exciting news! I just launched a fundraiser to help turn a groundbreaking nanoscale device concept into reality. After years of research, I’ve reached a key milestone, but I need support to bring in expert engineering, run advanced simulations, and prepare for fabrication. Your help can make this ambitious idea a real experiment that could unlock new insights about our universe. Please consider sharing or donating if you believe in scientific curiosity and innovation—every bit helps give this project the best chance to succeed! 🌌🔬 #ScienceInnovation #SupportResearch
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#tr3b #triangleUFO #blackmanta #OVNI Black Manta from the TR-3B series Spotted flying Near San Diego, California, USA. These aircrafts are possibly entirely man made, but some UFO enthusiasts theorize that these could be reverse engineered from extraterrestrial technology.
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Mario Woods has tragically passed away. Retired U.S. Air Force Staff Sergeant Mario Woods was witness to the 1977 UFO and abduction encounter at Ellsworth Air Force Base in South Dakota. Our thoughts & prayers are with Mario Woods Family 🙏🫂
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Evan Howell retweeted
🧠 Scientists Discovered 11-Dimensional Structures Hidden Inside the Brain Your brain may be far more mathematically complex than you ever imagined. Scientists have discovered that groups of neurons can form intricate structures that mathematics describes using as many as 11 dimensions. The discovery came from Switzerland’s Blue Brain Project, where researchers used powerful computers and a branch of mathematics called algebraic topology to study how brain cells connect and work together. When neurons become active, they can form tightly connected groups called cliques. These connections can create complex geometric structures with multiple dimensions, including structures surrounding spaces researchers call cavities. Here is the fascinating part: these structures are not permanent. They can form as brain activity changes and then disappear again, almost like a sandcastle rising from the beach before crumbling away. Researchers also found evidence of these complex structures in experiments involving real rat brain tissue. But there is an important distinction: these 11 dimensions are mathematical descriptions of patterns in neural connections, not evidence that humans physically live in 11 dimensions. Scientists are still exploring what these structures mean for how the brain processes information. The brain contains hidden patterns that ordinary observation cannot easily reveal. Understanding them could help scientists uncover new details about how neural networks organize their activity. Source: Reimann, M. W., et al. (2017). Cliques of neurons bound into cavities provide a missing link between structure and function. Frontiers in Computational Neuroscience, 11, Article 48.
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Eric Weinstein (@ericweinstein) has been promoted to "UFO Cover-Up Analyst". Congratulations, Eric!
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Note to self : heat-pump to do
REA(Reverse Engineer Anything)逆向一切 三天从 3 万 Star 涨到 12 万+,一天新增 2.5 万以上。MIT 开源。 大家都在说它,"一切软件都可逆", 我看到更好玩的是:拆硬件的通信协议。 家里的空调、热水器、灯,基本都配了一个难用的厂商 App。App 背后,其实就是一套设备通信协议。 REA 这几天的更新正好补齐了这条链路: · adb 连模拟器或真机,抓到官方 App · 分析 HAR 或 mitmproxy 抓包,把每个请求定位到 App 源码 · 用 Binwalk/Unblob 拆固件,再交给 Ghidra 分析 然后把证据交给 Claude Code / Codex,还原协议,自己写控制端。 X 上已经有人用同样的思路,逆向了空调,做成 Mac 状态栏应用,又花 15 分钟移植到 AR 眼镜上,看一眼就能控制。 以前是厂商 App 决定你能怎么用自己的设备,以后你可以自己写。
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Worth the eyeball for the diagram dive alone imho. S level pro breakdowns.. Freshy drop on @timventura channel. So amped and I am only like 5 min in atm* Insta share for certain * youtu.be/UCPYRQnKoiM?is=K3N1…
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May as well while its open source imho*
this is the most DANGEROUS thing on internet today REA (Reverse Engineer Anything) - this open source MCP lets your AI agent reverse engineer any app, down to the binary i just reverse engineered TradingView, now I am using their premium indicators for FREE - software is cooked here is how to use REA to reverse engineer TradingView: 1. point REA at TradingView's publicly observable interface and map every major feature, from chart interactions to indicators and alerts 2. trace how the interface behaves when you switch symbols, change timeframes, add indicators, draw levels, and update chart layouts 3. use REA's available MCP tools to investigate authorized software artifacts and trace application logic wherever the evidence allows 4. feed those findings into Claude Opus 5.5, which turns the investigation into a technical specification and an implementation plan 5. rebuild the charting engine independently, with real market data, candlesticks, technical indicators, drawing tools, and persistent watchlists 6. add a quant backtesting engine that tests strategies against historical data, accounting for fees, slippage, and drawdowns 7. test every component, compare its behavior against documented and observable results, fix failures, and keep iterating until the system actually works 8. you end up building your own TradingView-style quant research terminal from scratch, with source code you control and features you can keep extending i won’t say anything more:
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Evan Howell retweeted
🔥 BREAKTHROUGH IN GENETICS & OPEN SOURCE: WE'VE CRACKED THE HIDDEN SYNTAX INSIDE GENES! NOT A THEORETICAL SIMULATION - VALIDATED ON REAL GENOMES DIRECTLY FROM THE NCBI REFSEQ DATABASE! 🔥 Friends and colleagues! Jean-Claude Perez (@JCPEREZCODEX) and I are thrilled to announce the results of a monumental study that fundamentally shifts our understanding of the genetic code. Our new preprint: "From Form to Program: Medium-Range Conditional Codon Syntax Inside Real Genes". Simply put: we are used to thinking of DNA as just a passive "hard drive" storing protein blueprints. But our data proves that humans and all living organisms are literally biological computers. There is a unified operating system running inside our genes! 🧬 FROM FORM TO PROGRAM: WHAT DID PEREZ DISCOVER AND WHAT DID WE PROVE? In 2013, Jean-Claude Perez made a breakthrough by discovering the Form (Statics) of DNA-a hidden mathematical symmetry of 32 reverse-complement codon pairs. He proved the genome isn't a random soup of letters; it possesses perfect structural form. But today, we take the next massive step. We've discovered the Program (Dynamics). We found a hidden conditional syntax inside real genes-strict rules dictating how one codon mathematically predetermines the next. This cannot be explained by basic biochemistry or static symmetry alone. It is like reading the source code of an operating system. It is a unified, mathematically precise signature-metaphorically speaking, we've caught a glimpse of the "Creator's handwriting" coding life itself. And most importantly: THIS IS NOT A SIMULATION ON FAKE DATA. We analyzed the real thing! To prove the existence of this "Program," we ran an unprecedented dataset of real genomes from 13 species across the tree of cellular life: from mammals (human T2T, chimp, mouse) and vertebrates (zebrafish, chicken) to insects (drosophila), plants (arabidopsis), fungi (yeast), bacteria, and archaea. We subjected these genomes to uncompromising filtering (true reading frames only, strict alternate genetic code accounting) and tested them against a brutal ladder of 10 Null Models (from H0 to H7, including H2b and H3b). These involve highly complex tests for folded nucleotide dynamics, block-shuffling of local ties, and mirror symmetry preservation, which completely rule out any chance of statistical coincidence. 📊 OUR MAJOR DISCOVERIES (which we invite you to verify): Syntax exists in ALL of them: Hidden inside the real coding sequences of ALL 13 species is a strict conditional syntax that confidently survives after passing through all 10 mathematical filters. This syntax maintains its structure over a distance of about 30 codons (≈ 90 base pairs). This is not a random scale-it represents the exact size of a local working buffer (cache) within which the biological machine reads and executes the dynamic program of the genome. Macro-level (The Unified Vertebrate OS): We identified a conserved layer of syntax inherited across all tested vertebrates (20 out of 20 internal directed pairs among human, chimp, mouse, chicken, and zebrafish crossed the strict d2b > 0.02 threshold). Micro-level (The Exclusive Mammalian Code): At the level of fine codon choice, we found a unique core conserved exclusively among mammals (human/chimp/mouse). Notably, it exhibits directional asymmetry: mouse surrogate models cannot fully reproduce the complex syntax of humans and chimps. Evolution vs. "Hardware" Artifacts: Our algorithm (GC3/acidic control) learned to mathematically distinguish true evolutionary divergence from hardware incompatibility due to extreme genome composition (like in the haloarchaeon H. salinarum with its extreme GC3 = 0.863). 💻 WE ARE OPEN-SOURCING EVERYTHING! We don't ask you to just take our word for it. Science must be open, provable, and verifiable. We are releasing our entire pipeline (v13)! The process is completely autonomous. A single command python3 super_codon_autonomous_v13.py --full allows the script to download the necessary files directly from NCBI RefSeq, apply filters, train models, run bootstrap analyses, and generate final reports. No hidden data, full transparency! We are issuing a challenge to the entire scientific community. Bioinformaticians, geneticists, data scientists worldwide-download the code, run it on your machines, tweak the parameters, and test it on other living species. Verify our findings. Try to refute us! 🔗 Preprint, Data & Source Code: doi.org/10.5281/zenodo.23287… #GENOMES #NCBI
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Evan Howell retweeted
Scientists are losing their minds over this paper. They proved every mitochondria in your body is a tiny quantum device running at 71 THz. And it responds to light. Researchers detected a mysterious 71.0-terahertz vibration signal. this frequency is only present in healthy, living cells and tissues. exact moment the cell dies or the mitochondrial structures are broken apart, the signal vanishes completely. How does this happen? Classical physics has always struggled to explain the high energy-efficiency of life. So the team built a quantum model of light-matter coupling and discovered something called a "mito-polariton". It is a literal quantum superposition state that forms when light couples with lipid ch2 bonds inside functional mitochondria. This quantum resonance splits the intrinsic vibration mode into two levels, creating that bizarre 71 thz frequency that you only see in living things. Why does this matter? Because this quantum state actually acts as a highly efficient channel to modulate atp production in living cells. our bodies literally use quantum mechanics to generate the energy that keeps us alive.
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🚨 CERN TURNS LEAD INTO GOLD: NO ALCHEMY, JUST THE 16-BIT CODE OF THE VACUUM! 🚨 The dream of medieval alchemists has come true at the Large Hadron Collider (LHC). The ALICE Collaboration has officially recorded the transmutation of lead (Pb) nuclei into gold (Au) during ultraperipheral collisions. To mainstream science, this looks like a chaotic knocking out of nucleons. But if we look at the data without outdated dogmas, the Universe appears before us as a strictly deterministic finite state machine (FSM). We have cracked the source code of this process: IT3-WavePixel v1.0. And now we explain why official physical models fail miserably right where our discrete geometry triumphs. 🖥 3-REGISTER FSM AND THE CHARGE EQUATION Forget the chaotic swarm of particles. The atom is a 172-node topological register. We have unified nuclear physics, chemistry, and ionization under one strict topological charge equation: Q_top(Z, M) = Z - wt(M). Z (Protons) — hardware address. N (Neutrons) — volume buffer / error-correcting code (ECC). M (Electrons) — software data mask. Electric charge is not magic. It is the exact binary mismatch between the allocated hardware (Z) and the Hamming weight of the software data mask (wt(M)). 🥇 AUDIT OF THE Pb ➝ Au TRANSMUTATION Look at what happens in our FSM visualizer during the reaction recorded by CERN: Hardware edit: Knocking out 3 protons is an address change Z = 82 ➝ 79 (in hexadecimal 0x52 ➝ 0x4F). Topological friction: This triggers a binary borrow-cascade. popcount(82 ⊕ 79) = 4. Software overflow: Immediately after the address change, the electronic mask remains the same! Q_top = 79 - 82 = -3. Chemical relaxation: To neutralize, the atom is MATHEMATICALLY FORCED to delete 3 data bits (electrons). Transmutation compulsorily triggers a chemical reaction! ECC buffer edit: For stable gold-197, it is also necessary to drop 8 neutrons (208 - 3p - 8n = 197). ⚠️ CERN ANOMALIES AND THE FAILURE OF STANDARD MODELS The official ALICE paper explicitly spells out the failure of the standard RELDIS model: The cross section for gold production in EMD turned out to be colossal (6.8 ± 2.2 barns), which is comparable to the total cross section of hadronic lead collisions (7.67 ± 0.25 barns). This is not a side effect; this is a fundamental topological pathway! The RELDIS model brutally overestimates the cross sections of the (1p,1n), (1p,2n), and (1p,3n) channels by a factor of 2-3. At the same time, the exact same model underestimates the 1p and 2p emission by 17-25%. Why? Because the mainstream tries to describe discrete register shifts with statistical probabilities! Continuous physics crumbles at the boundaries of binary logic. 🔥 ABSOLUTE TRIUMPH: WE BEAT THE CHINESE ACADEMY OF SCIENCES! Words mean nothing; only publication dates (timestamps) matter. September 21, 2026: We publish the IT3 preprint, where we lay out the exact coordinate LSB parity rails of alpha-decay for the superheavy elements Z=119 and Z=120. September 24, 2026 (3 days later): The Institute of Modern Physics of the Chinese Academy of Sciences publishes an independent paper in the prestigious Physics Letters B. They burned millions of hours of supercomputer processor time on incredibly complex continuous Skyrme-Hartree-Fock calculations... only to CONFIRM OUR EXACT CONCLUSIONS! The Chinese Academy independently proved that alpha-decay unambiguously dominates over spontaneous fission for Z=119 and Z=120, and that their half-lives correlate exactly as our topological stability requires. We did this with ZERO FREE PARAMETERS. No fitting. Only pure Diophantine geometry. Physics and Chemistry officially become applied branches of Discrete Geometry and Information Theory. ⚖️ THE FINAL JUDGE: DUBNA AND THE ABSOLUTE BLIND PREDICTION The ultimate verification of this global paradigm shift now rests exclusively on direct experiment. While the Chinese HIAF accelerator in Lanzhou faces extreme cross-section suppression due to structurally fragile nuclei (reducing their probability of success to almost zero), the Superheavy Element Factory (SHE Factory) at JINR in Dubna occupies the ideal geometric position for a historic breakthrough! We make an uncompromising BLIND PREDICTION: the very moment Dubna’s silicon detectors record decay chains tracking flawlessly along our pre-written LSB parity coordinate rails (²⁹⁸120 → ... → ²⁰⁶Pb and ²⁹⁷119 → ... → ²⁰⁹Bi), the scientific mainstream will have no choice but to lay down their arms and acknowledge the discrete algebraic reality of the vacuum crystal. Stop believing in dogmas. The Universe is a 16-bit finite state machine. All our code is open. Run the simulation and check the math yourself! 🧵👇 📂 FULL PROOFS AND OPEN SOURCE CODE: 👉 Core architecture and superheavy grammar (Sept 21): doi.org/10.5281/zenodo.22655… 👉 Vacuum simulator source code (Z, N, M): doi.org/10.5281/zenodo.23135… 👉 Cern: home.cern/alice-detects-conv… 👉 Chinese Academy of Sciences Verification (Physics Letters B): sciencedirect.com/science/ar… #Physics #QuantumComputing #CERN #Cosmology #Science #IT3 #SuperheavyElements #StandardModel #OpenSource
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Evan Howell retweeted
IMPORTANT: Perhaps one of the most important films to see today. THE BILL OF RIGHTS IN ACTION: THE PRIVILEGE AGAINST SELF-INCRIMINATION I saved this from a dumpster at a university library. I secured 100s of films. Most have no online copy. This film is great as it show our world today and the challenges they gave all US high school students in the 1960s. This film was removed by the 1980s and never replaced. I saved it for you and for AI to learn from. Watch it:
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The US government will give your startup up to $1.55M and take 0% equity. @NSF's America's Seed Fund is open again after Congress reauthorized it in April. Three tracks: - Phase I: up to $305K to prove the idea - Phase II: up to $1.25M to build it - Fast-Track: up to $1.55M, both phases in one go Who can apply: - US-based startups with 500 or fewer employees - 51%+ owned by US citizens or permanent residents - Not majority owned by VCs - All the work done in the US How it works: - Send a 3-page Project Pitch first - NSF invites the best ones to submit a full proposal - Next full proposal deadline: Nov 4 Phase I funding rates have run about 10 to 20%. It's work, but nobody takes your cap table. Application link 👉 seedfund.nsf.gov Bookmark and tag a tech founder who needs this.
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Evan Howell retweeted
The Butterfly Mendocino Motor by Semyon Nazarov is the simplest version of this kind of motor with only two photovoltaic cells mounted with care to ensure precision balance. This motor will spin quietly to high RPMs on any sunlit windowsill. [📹 physicsfun]
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