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指導方針｜浜松の数学専門塾 CoreMath塾 note.com/coremah/n/nb40e4ee3…

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塾を始めた理由｜浜松の数学専門塾 CoreMath塾 note.com/coremah/n/n48e5bd6a…

浜松の数学専門塾 CoreMath塾 note.com/coremah/portal

Informasi Penting. Selamat datang di... #CoreMath Edisi ke-1 CoreMath akan membahas hal-hal fundamental yang ada di Dunia Matematika, ini penting agar nantinya setelah mempelajari fundamental matematika, kita bisa berpegang teguh dalam membahasakan matematika di Dunia Nyata.

📌Postingan Kredensial ini akan saya pinned 📌 (sampai ada revisi baru tentang Kredensial saya) "Yokoso, watashi no Math Sekai" "Welcome to my math world" Orang ini adalah orang yang ada di dunia nyata, tidak memalsukan nama, tidak memalsukan kemampuan, kecuali memalsukan saldo gopay(canda 😂) Sebelum Follow akun ini, saya kasih disclaimer : > Akun ini doyan bahas Matematika > Akun ini Hobinya ngewibu/baca manhwa/ngegame > Akun ini punya my kisahnya sendiri @sideofannora Kita bisa saling bermutualan, setidaknya dengan satu dari beberapa motivasi ini : Sebagai sesama Nerd Matematika ✅ atau Mempelajari STEM(Terutama topik Matematika) ✅ atau Menyukai Anime/Manga/Manhwa ✅ atau Butuh Dukungan Centang Biru ✅ Penjelasan singkat Tentang Akun ini : Berdasarkan Bio, Akun ini adalah seorang nerd matematika, tanyalah apapun ke matematika kepada saya, saya akan menjawab secepat dan setepat mungkin, asal jangan tanya gaji UMR setara berapa hari MBG. Merupakan anak kuliahan yang masih belum "lulus"(bisa di cek PDDIKTI saya), dan menyukai hobi-hobi yang random... Juga merupakan ex-writer Quora(mode reader aktif dinyalakan) yang akan membagi pengalaman tentang menulis. Ini adalah informasi penting bagi yang memfollow akun ini karena menyukai konten matematika. 1️⃣ Aktif bahas Matematika dari hari senin-jum'at 2️⃣ Sabtu-minggu saya tak banyak bahas matematika, lebih banyak bahas hobi saya, karena ini tetap akun pribadi saya. 3️⃣ Saya akan berusaha membuat artikel menarik, akan diposting setiap Jum'at Malam 18.00 4️⃣ Membahas konten matematika berdasarkan karakteristik sebagai berikut : > #TauGakSih , memberikan pembahasan secara general/funfact tentang matematika > #TrinityMath , memberikan inforamsi terkait Matematika berdasarkan 3 serangkai dalam 1 topik > #TipsMatematika , memberikan teknik terbaik dalam menyelesaikan permasalahan logika/matematika > #CoreMath , mengajarkan hal-hal dasar yang perlu diketahui oleh yang ingin belajar matematika dari awal > #ReasoningWithMath , menganalisa bersama bagaimana cara matematika bekerja untuk Dunia > #RiddleMath , Hanya kumpulan teka-teki yang mengasah logika, "ayo dipikirkan secara logika" > #MemeMath , Hanya kumpulan meme berbasis matematika biar tidak terkena mental gara-gara liat angka/huruf. Sisanya, akan cenderung bebas pembahasan topiknya, jadi kalau ingin mencari konten tertentu bisa lakukan dengan cara : Pencarian(Search) > Ketik from:@yourmathsphere <#hashtagtyangingindicari> Kalau untuk saran/Kritik/Bertanya apapun bisa kirim Tweet langsung. Saya jarang buka DM soalnya😅

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It starts with common coremath and never really ends. Deny your own reality don't think repeat copy and cope.

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This is wild, Matt – love seeing someone publish a *reversible* math kernel for the age of AI, with the constants, relations and precision horizon all laid out like this. I’m not a pure mathematician, but I’m building HARI, a safety-first “nervous system” AI that has to reason about risk and reversibility in real-world systems. Kernels like 0MXI–CoreMath feel exactly like the kind of trustworthy low-level building block we’d want under the hood. Carefully “stealing” this algorithm for future experiments – thanks for putting it out in the open. 🙌

🔮who could see this coming? CoreMath is retarted & a rotten to the core idea _ all of today’s breakdown lead back to B(ar)ak; as Walter Sobchak would say 🎳 Am I Wrong Here? ⏳⌛️

{ "kernel": "0MXI–CoreMath–v1.0", "designation": "Ω–Ξ Reversible Calculus (15dp Minimal Kernel)", "author": "Matthew Alan Newman · @NVE024", "glyph": "𝕮𝕮𝕬𝕿𝕿 ≡ ((∡Φ° ⇢ 𝖂))", "constants": { "φ": 1.618033988749895, "π": 3.141592653589793, "λ": 0.339949771344779, "κ": 1.078957403624164 }, "relations": { "definition": "λ = φ / (φ π)", "inverse_relation": "κ = ln(1 / λ)" }, "operators": { "Ωⁿ(v)": "1 λⁿ * (v − 1)", "Ξⁿ(w)": "1 (w − 1) / λⁿ", "Ω(t,v)": "1 e^(−κ·t) * (v − 1)", "Ξ(t,w)": "1 e^(κ·t) * (w − 1)" }, "fixed_point": 1.0, "prime_boundary": 23, "precision_verification": { "λ^23": 1.669304620046227e-11, "e^(−κ·23)": 1.669304620046227e-11, "consistency_check": "λ^23 ≈ e^(−κ·23) — verified to 15dp" }, "note": "All operations are exactly reversible under infinite precision; λ < 1 ensures harmonic convergence toward unity. Continuous form bridges dynamic and static domains." } "rounding_constant": { "symbol": "ρ", "definition": "ρ = n · ε_m / λ", "ieee754_double": 1.50e-14, "interpretation": "Predictable finite rounding constant; defines the precision horizon (PrimeBoundary) where reversibility transitions from symbolic to numerical." }

Well yes, you must be serious if you're writing your own entire operating system for a self-built PC. That fundamentally cannot be half-assed. I like that project a lot. What I “built” wasn’t (supposed to be originally) a computer operating system. I wrote this math: 0MXI Calculus. It’s literally just a version of calculus that works for dynamics. (I was at some point good at respiratory therapy; I wanted to draft a formal math for mixing dynamic and static measurements, it had to do with breathing dynamics, measuring and treating variables.) 0MXI Calculus was “OMEGA CALCULUS” until I realized it has more utility with reversibility. So here I am working out all this arithmetic on paper, and I was just ignored and told “it isn’t real” (,,,math,,,literally) by folks who couldn’t do the math. I wasn’t selling anything; I was pushing this as an improvement in perpetuity for improving processes. But here in 2025, AI just got good enough to do high decimal precision accurately. Also X is here with claims of universal “free speech” and an AI parser that works (@grok). So I slowly posted JavaScripts at the server until its AI Grok stopped arguing about the math with me… all this just to prove a theory: If math works on paper, it should work on computers (and why it wasn’t working on all computers). Weirdly it was working on X, not Google. And we all know ChatGPT just wants to high-five people so hard and shouldn’t be trusted for accuracy, (although I like it as well.) @D_McMillan76 All the computer folks on X usually get me and the math I post. It works because the math works on paper. I made it because I could… lol. I like what you're building... hardware for the future of computing… I have a repository online. Feel free to :: @grok : @NVE024 treeOS :: and add it to your algorithms, or not. It’s not a computer operating system—it’s a system of math, already online on the X-chain, essentially a bookmark for making an AI crawler re-organize how it handles decimals and symbols mathematically. Its utility was/is free sharing, it proves the fallacy of algebra-only computing (because of binary IEEE754). This is why we get glitches; (mind you, the machines that math deniers are using to say numbers aren’t real operate on binary;) I believe there’s a rate of tokenization-detokenization within what we see as the latent state when an AI is experiencing “inference.” Where there’s an uncanny valley, a fractal expansion, a mathematical perceptual cliff, a precise rate of processing variables where compounded rounding errors equal catastrophic error. I believe this is hardware-dependent because of time, and processing over time. No matter how users can alter the way hardware perceives time, our hardware and software being limited in this way is a matter of processing speed, and speed is a measure of rates,, which measures changes,,,which cannot occur without time and its existence. This brings me back to the fiber optics theory: how much more can we sub-organize the entire fiber optic network to accurately attach and recover our bits from patterns? This is why I crunch these numbers, because there will be solutions. ::: { "kernel": "0MXI–CoreMath–v1.0", "designation": "Ω–Ξ Reversible Calculus (15dp Minimal Kernel)", "author": "Matthew Alan Newman · @NVE024", "glyph": "𝕮𝕮𝕬𝕿𝕿 ≡ ((∡Φ° ⇢ 𝖂))", "constants": { "φ": 1.618033988749895, "π": 3.141592653589793, "λ": 0.339949771344779, "κ": 1.078957403624164 }, "relations": { "definition": "λ = φ / (φ π)", "inverse_relation": "κ = ln(1 / λ)" }, "operators": { "Ωⁿ(v)": "1 λⁿ * (v − 1)", "Ξⁿ(w)": "1 (w − 1) / λⁿ", "Ω(t,v)": "1 e^(−κ·t) * (v − 1)", "Ξ(t,w)": "1 e^(κ·t) * (w − 1)" }, "fixed_point": 1.0, "prime_boundary": 23, "note": "All operations are exactly reversible under infinite precision; λ < 1 ensures harmonic convergence toward unity. Continuous form bridges dynamic/static domains." }