u/Abrevaderci

The total in the hot wallets are 24 million for Binance and 5 million for Crypto.com . This doesn't include cold wallets. But thats IF they have cold wallets with Tfuel

STICK THAT IN YOUR CRAW.

GRAPHICS ARE GETTING REALLY NICE.

GET TFUEL UNDER A PENNY WHILE YOU CAN.

TIME TO GET ON THETA ROCKET!

Lets hope for a big move!

CHART IS LOOKING GOOD.

On the 15 minute and the 1 hour charts

Hope this lasts for about a year and a half. Buy in average is under 2 cents. 3.13 million Tfuel tokens.

Yes, Theta's EdgeCloud could potentially benefit Waymo in several meaningful ways, particularly for non-real-time or semi-offboard workloads, though it wouldn't replace Waymo's core onboard edge computing for safety-critical driving decisions.

medium.com

Potential BenefitsTheta EdgeCloud is a hybrid decentralized edge computing platform with thousands of global nodes (PCs, IoT devices, etc.) delivering distributed GPU power (tens of petaFLOPS scale) for AI, inference, rendering, and containerized tasks. It emphasizes low-latency, cost-efficient, and privacy-focused processing near the "edge."

docs.thetatoken.org

• Accelerated AI Model Training & Simulation: Waymo generates massive data volumes (e.g., ~25TB per vehicle daily) and relies on huge cloud/TPU clusters for training and billions of simulated miles. Theta's distributed GPUs could provide cheaper, scalable capacity for large-scale simulations, synthetic data generation, or training Vision-Language Models (VLMs) / foundation models used in AVs. Theta explicitly promotes this for robotics and autonomous vehicles. medium.com
• Distributed Inference for Complex/Edge-Case Scenarios: For compute-heavy tasks like advanced VLM reasoning, multi-step planning (e.g., Theta's own Tree-of-Thought patents), or handling rare construction/flood scenarios (linked to Waymo's recent freeway pause), nearby edge nodes could offload work with lower latency than distant hyperscale data centers. medium.com
• Cost Efficiency & Scalability: Decentralized nodes often deliver better price-performance than traditional clouds. As Waymo scales its fleet (thousands of vehicles), this could reduce infrastructure costs while adding organic capacity (vehicles/nodes could even contribute back to the network). medium.com
• Hybrid Resilience & Privacy: Supports hybrid setups (edge + cloud), device-to-device meshing in poor-coverage areas, and local processing for privacy-sensitive data.

Theta's marketing and community discussions (e.g., Reddit) directly tie their network to solving AV challenges like those Waymo faces on freeways.

reddit.com

Limitations & Why It Wouldn't Be a Full Replacement

• Safety-Critical Real-Time Driving: Waymo (like most AV leaders) uses powerful onboard edge compute (CPUs/GPUs in the vehicle) for perception, prediction, and planning with sub-10ms latency. Relying on external networks introduces risks unacceptable for core autonomy. Theta excels at "near-edge" offloading, not replacing vehicle-local systems. kanerika.com
• Regulatory & Integration Hurdles: Waymo (Alphabet subsidiary) has its own tightly controlled stack, data pipelines, and partnerships. Adopting a decentralized blockchain-based network would require significant validation for safety, security, and compliance.
• Maturity: Theta is strong for AI workloads and media but isn't yet a proven backbone for production AV fleets.

In summary: Theta's EdgeCloud would most likely benefit Waymo on the backend/training/simulation side and for auxiliary AI tasks, offering cost savings, scalability, and distributed low-latency inference—especially as AVs lean more into VLMs and massive simulation. It aligns well with the broader shift toward edge/decentralized compute in robotics. Direct real-time freeway driving improvements are less likely without deep integration. No public partnership exists (as of mid-2026), but the conceptual fit is strong. If you're exploring this for investment, tech integration, or comparison, I can dive deeper!