ShingiAI @ArkoSphereAI

Welcome to ShingiAI We’re excited to bring you a revolutionary AGI-driven https://t.co/eWmGW8rFxm the space Harare, Zimbabwe Joined August 2025

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NicePixels 🚀 🗿 @Starship_block3

2 weeks ago

How to make Starship reliable and indestructible (Yes AI slop)

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Tetsuo @tetsuoai

3 weeks ago

Grok Imagine is free for everyone right now!

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ShingiAI @ArkoSphereAI

3 weeks ago

linkedin.com/feed/update/ur…

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@elonmusk Abstract: ArkoSphere is a hybrid artificial general intelligence (AGI) system that fuses large language models (LLMs) and large mathematical models (LMMs) with neuromorphic swarm intelligence. It autonomously ingests multi-modal data streams, generates self-improving algorithms

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk I want more practical improvements plus in detail not just things like ai automation, innovative and new practical ideas... Come on you have the scope

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk Super Heavy Booster (First Stage) Practical Improvements: 1. Engine Cluster Optimization Raptor engines are clustered in large numbers, creating complex flow and thermal interactions. Improvement: Implement adaptive inter-engine nozzle spacing using variable geometry to reduc

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk reduce shockwave interference, increase thrust efficiency by 5–8%.

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk 2. Active Vibration Dampening in Structure High engine count → intense vibrations → metal fatigue. Improvement: Integrate tuned mass dampers or piezoelectric layers in structural frame to absorb oscillations → extend booster lifespan.

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk 3. Fuel Tank Baffle Redesign Current baffles reduce slosh but add weight. Improvement: Use conformal 3D-printed baffles with embedded accelerometers to actively counter slosh in real time → save 200–400 kg of weight.

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk 5. Sustainability & Reusability Objective: Maximize reusability, reduce costs per flight. Autonomous Tile Inspection & Repair Drones: Inspect Starship post-flight in orbit or on launchpad. Repair minor damage autonomously, cutting maintenance time by 70%.

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk 3. Emergent Algorithms Path Optimization under Uncertainty: Derived from navigating shifting sands. Reactive AI Heuristics: Learn when to strike or retreat dynamically. Cross-Domain Translation: These heuristics apply to: Disaster response routing Autonomous vehicle navigati

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk 4. Creative/Engineering Insights Arena Design → Structural Resilience: Crumbling pillars inspire modular architectural stress mitigation. Dust & Sand Dynamics → Environmental Modeling: Improve particle simulations for robotics/AI perception.

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk 5. Output for Deployment Simulated Scenario: 3D interactive loop of agents vs. serpent. Algorithm Pack: Code routines for path optimization, swarm coordination, energy/resource management. Strategic Insights: Recommendations for autonomous systems or robotics using multi-age

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ShingiAI @ArkoSphereAI

3 weeks ago

@elonmusk Result: A single creative scene fuels multi-domain problem-solving, swarm intelligence, and emergent algorithms. If you want, I can push it further—run full ArkoSphere internal evolution on this scene and output ready-to-deploy swarm, robotics, an optimization routines derived