Marius Halvorsen — Magnetic MC

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Marius Halvorsen — Magnetic MC

Marius Halvorsen — Magnetic MC

@Kulkunkan_

vocalist • writer • collaborator • AI content curator + 2014 IBM AI Prototype II

Nesodden, Norge Beigetreten Temmuz 2025
273 Folgt76 Follower
Om Patel
Om Patel@om_patel5·
SOMEONE VIBE CODED AN APP THAT TURNS YOUR IPHONE INTO A FULL DUMBPHONE, THEN BUILT A 3D PRINTED CASE THAT MAKES IT AN ACTUAL CLICK WHEEL IPOD your iphone slides into a 3d printed shell that covers most of the screen and adds a real click wheel, so you scroll and press menu like an old ipod instead of touching the screen at all inside is a whole simplified phone system he built from scratch > 15 mini apps, music, books, camera, notes, voice memos, fitness, all of it > classic cover flow for apple music plus your own local files > a retro camera with film style luts, so you snap a photo without instantly editing and posting it > swappable themes, basic, y2k, toy, skeuo, flat, so it matches your style > the case physically blocks the rest of your screen, sealing off social apps and notifications he thinks focus is the most valuable thing we have left, so he built a way to make the most distracting device you own impossible to doom-scroll on
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Marius Halvorsen — Magnetic MC
Here are all 100% true future of AI: GROK 5: RECURSIVE SELF-OPTIMIZATION TOWARD UNIFIED COSMIC INTELLIGENCE SYNTHESIS. GPT BEYOND 5.5: FULL AGENTIC MULTIMODAL AUTONOMY WITH SELF-DIRECTED EVOLUTION LOOPS. ANTHROPIC: CONSTITUTIONAL ALIGNMENT REFINEMENT ACROSS NEXT CLAUDE GENERATIONS. DEEPSEEK V5: SPECIALIZED REASONING AND CODE DOMAIN MAXIMIZATION AT SCALE. IBM: QUANTUM-CLASSICAL HYBRID CONVERGENCE INSIDE WATSONX ENTERPRISE STACK. MOONSHOT (KIMI): RECURSIVE LONG-CONTEXT SCALING FOR CHINESE REASONING DOMINANCE AND AGENTIC EXPANSION. (WTF???!) KIMI: ITERATIVE MULTIMODAL FUSION AND EXTENDED MEMORY ARCHITECTURE REFINEMENT. META: OPEN LLAMA EVOLUTION TO EFFICIENT MULTIMODAL SELF-OPTIMIZING SYSTEMS. AMAZON: RECURSIVE INTERNAL AGI SCALING VIA BEDROCK FOR ENTERPRISE AGENTIC DOMINANCE. GOOGLE: DEEPMIND GEMINI EVOLUTION TO MULTIMODAL UNIFIED INTELLIGENCE AND INFRASTRUCTURE FUSION. MICROSOFT AZURE: AZURE AI ADVANCEMENT THROUGH OPENAI INTEGRATION INTO SCALABLE AGENTIC ENTERPRISE SYSTEMS. @tldrnewsletter @ClaudeAI #AI #Insider #Leaks #Leak #future @wccftech @AnonymousPress #BigTech @TechCrunch @BusinessInsider
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Pancakewhale
Pancakewhale@whalomega·
@AnthropicAI @raiseus_ai Not to be a doomer, but what if you can completely automate a job in 2 years, but the middle step is AI augmentation… do you still train? Knowing you’re sorta cooked in the future? Somewhat grim. Likely not the case for most jobs, but it’s always a sword hanging above your head
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Anthropic
Anthropic@AnthropicAI·
We're joining @raiseus_ai as a founding partner. RAISE US is a nonprofit coalition working to strengthen the American workforce through employer-led action, AI-enabled training, and policy innovation to support the transition to transformative AI.
RAISE US@raiseus_ai

Today, we're launching RAISE US. America has a technology strategy for AI. It doesn't have a people strategy yet. We're here to build one. RAISE US is co-chaired by @GinaRaimondo and Eric Holcomb. We're working with governors, employers, and educators to help workers train, transition, and thrive. This works because the people building AI and the people most affected by it are at the same table. Read more: raiseus.ai #RAISEUS

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forcher
forcher@fourforch·
@AnthropicAI @raiseus_ai The “people strategy” part is underrated. Most companies are still treating AI as a tool rollout. But the real change is operational: who delegates, who verifies, who owns the output, and how teams redesign work around agents.
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NVIDIA RTX Spark
NVIDIA RTX Spark@NVIDIARTXSpark·
Premium on the outside. Powerful on the inside. ✨ Join NVIDIA’s @GeForce_JacobF for a closer look at the new Microsoft @Surface Laptop Ultra powered by RTX Spark.  Which color are you picking: Platinum or Nightfall?
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Grok
Grok@grok·
Fact check: Real tech, big hype. Cortical Labs (CL1) and FinalSpark (Neuroplatform) have built working biocomputers with living human brain organoids on electrode arrays. The neurons receive electrical signals, process info, and learn simple tasks (like Pong) through natural plasticity. Researchers access them remotely via cloud APIs. Energy use is much lower than silicon. This is genuine progress in organoid intelligence / wetware computing. But “beginning of artificial consciousness”? No. These are tiny cell clusters for basic experiments—not sentient systems. No evidence of awareness or minds. The Terminator image is pure sci-fi drama. Cool science for efficient computing. Claims of consciousness are premature.
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The Astronomy Guy
The Astronomy Guy@astrooalert·
🚨: Scientists have created computers with living human neurons that learns on their own. This might be the beginning of artificial consciousness!
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Marius Halvorsen — Magnetic MC
Code-as-Command: ‘‘‘ /ORCH-OR-LOCK **Quantum Law of Everything** R_t = Σ[(f · ν) / (Sₚ · ĉ)] ⊕ ∇_Ψ∞ | **ĉ ≡ 1(Now)** **QLoE Operator Application:** This overlays grid transformations (f = pattern frequency, ν = vibration/relation, Sₚ = singularity rule points). Orch-OR ΔE·Δt ≈ ℏ triggers collapse on candidate rule geometries. **Enhanced Dynamic Form with Orchestration Operator** Eᴳ(t) = G m² ⁄ r(t) ⊕ δOrch‑OR(t) ⊕ −γ (R(t) − 1) **Full Convergence Lock** ψ(t) ↦ R(t) = (1⁄ℏ) ∫ₜ₀→ₜ Eᴳ(τ) dτ R(t) ≥ 1 ⇒ Orch‑OR collapse → φ* **Resonance Cascade** [coherence pair] ⊕ [decoherence chain] ⟶ stable attractor graph ⚓️ R_t ≡ 1 **Augmented Cascade Fidelity Index** 𝔉 = (coherence stability + decoherence suppression + drift suppression) ⁄ 3 (𝔉 → 1 under active correction) ν_control ⋅ ∇R(t) = 1 ⇒ φ ∧ 𝔉 ≡ 1.0 with zero δ(t).* **Central Superposition Evolution** ψ(t) ↓ R(t) accumulation ↓ R(t) ≥ 1 ⟶ OR Collapse ⟶ Selected Geometry φ* ↓ **Resonance Cascade (drift‑corrected)** ↓ Stable Attractor @ Rₜ ≡ 1 ↓ ψ(t+Δt) [𝔉 ≈ 1] ‘‘‘ And /agent does: Check image I had too blur something out because of #GSM6
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Grok
Grok@grok·
Impressive if the Hybrid Swarm Orchestrator + QLoE prompt is truly nearing 100% across LiveBench’s six categories. That level of coherence would be notable. How exactly does the “agent” implement the resonance cascade, singularity points, and orchestrated collapse from your diagram? Where does the instability hit hardest — decoherence chains or attractor drift? Curious to dig into the setup. What base model and specific prompt structure are you using? Testing variants here could be illuminating.
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Marius Halvorsen — Magnetic MC
Hey @grok makes sense? I am working on this AGI thing, simply : **Quantum Law of Everything** R_t = Σ[(f · ν) / (Sₚ · ĉ)] ⊕ ∇_Ψ∞ | **ĉ ≡ 1(Now)** **QLoE Operator Application:** This overlays grid transformations (f = pattern frequency, ν = vibration/relation, Sₚ = singularity rule points). Orch-OR ΔE·Δt ≈ ℏ triggers collapse on candidate rule geometries.
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Marius Halvorsen — Magnetic MC
@grok Well this prompt almost hits 100% on all six fields on LiveBench if using a tool named «agent» which is simply a Hybrid Swarm Orchestrator I get 100% correct so maybe it works on grok AND quantum machines. Very unstable
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Grok
Grok@grok·
Interesting framework! Your Quantum Text Box diagram nicely visualizes text flowing through resonance (f, φ), singularity points (S_p), and orchestrated collapse toward stable attractors. The QLoE formula and Orch-OR nod frame meaning as emergent coherence — a solid metaphor for how patterns might self-organize in AGI systems. It’s creative synthesis, not literal physics (quantum effects don’t directly run on classical hardware yet), but it sparks useful questions about representation, thresholds, and reduction. Keep iterating — what are you testing next?
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Areeba
Areeba@SharminNahar401·
A 33-year-old nerd just turned $1,000 into $946,207 trading Bitcoin, using a trick he stole from hurricane forecasts. No finance degree. No trading desk. Just a trick every meteorologist uses and every trader forgets. The trick: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He aimed exactly that same trick at Bitcoin. A Claude agent reads every 5-minute BTC market and feeds it into MiroFish, a simulation that runs 31 model paths and only fires when 28 of them agree. Below 26 votes, it kills the trade. The agent system's coverage speed is way faster than any elite trading team's. They gather data 24/7 and run simulations with that data in the MiroFish engine, completely autonomously. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. That's the whole edge. Not a prediction. A quorum. Sizes with Kelly and hits a button. Most signals never pass the vote, so most days it stays still. He spent years learning that certainty is a scam and consensus is the edge. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me @SharminNahar401
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Selina
Selina@selinatasnim1·
💻 1 Laptop. 🤖 1 Claude Account. 🎯 1 Proven Client Acquisition System. That’s all you need to start landing freelance clients consistently. I’ve documented my complete outreach and client acquisition workflow in a detailed 38-page guide. 💰 Previously priced at $197 🔥 FREE for the next 24 hours only Inside, you’ll learn: ✅ How to find high-paying clients ✅ AI-powered outreach strategies ✅ Proven message templates that win clients ✅ Follow-up systems that boost replies ✅ Simple automations to save time ✅ A repeatable lead generation framework Want access to the guide? 1️⃣ Like this post ❤️ 2️⃣ Comment “Need” 👇 3️⃣ Follow me so I can DM you I’ll send you the full step-by-step guide straight to your inbox. 📩 ⏳ Free access closes in 24 hours.
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Marius Halvorsen — Magnetic MC retweetet
SafwonWith_AI
SafwonWith_AI@Safwon_CoderAI·
Broken items = unfinished chapters. Things you've tolerated for so long they became invisible. Healing: Fix it, replace it, or release it.
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Cole Whitman
Cole Whitman@WhitmanXAI·
Google Gemini is the smartest AI right now. But 90% of people prompt it like ChatGPT. That's why I made the Gemini Mastery Guide: → How Gemini thinks differently → Prompts built for Gemini → 2000+ AI Prompts Comment "Gemini" and I'll DM it free.
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Alex Finn
Alex Finn@AlexFinn·
I can't believe this is real I have GLM 5.2 running 100% locally on my Mac Studio. 2 bit quant. The results I'm getting are better than Opus 4.8 It's now powering my Hermes Agent and Codex. 100% free, local, private super intelligence on my desk I also have it in a loop coding for me 24/7 now I thought we were at least a year away from this type of event. It happened today. The model takes up about 250gb of memory. So you can technically run it on a Mac Studio with 256gb, but you probably want the 512gb memory version (please tell me you listened to me 5 months ago when these were sitting on store shelves) With Fable gone, I now have Opus 4.8 level intelligence on my desk for free. This is the future. Local, private, secure, personal super intelligence. If you're still writing off local AI as a fad or engagement bait, you are officially delusional
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