100% AGREE. We're using it up faster than we can mine it. The deficits grow every year.
How Silver isn't $300/oz already is beyond me.
Best bet for 2026? @BenoitLaSalle55 's @AyaGoldSilver .
Silver Repricing Could Shock The World Overnight
Silver May Be The Biggest Market Distortion In History
Modern technology depends on silver, yet growing evidence suggests supply is far tighter than markets currently reflect.
As industrial demand accelerates and available supply tightens, the eventual repricing could shock the world overnight.
@RoadtoRoota
Bitcoin was never a safe haven asset. That was the marketing mantra borne from those who sold, or benefitted from, Bitcoin. A reason for Bitcoin to fall would be the fact that the IRGC reportedly accepted bitcoin for safe passage of ships through the strait.
Few understand Bitcoin https://t.co/XimT59R6bl
@veritaseum Opine, but do not state whether or whether not Bitcoin infringes any patents written or owned by @ReggieMiddleton
El 12 de mayo, CME Group anunció los primeros futuros de compute del mundo.
Larry Fink lo pidió. Terry Duffy lo confirmó:
“El compute es el nuevo petróleo del siglo XXI.”
Pero hay algo que un futuro financiero no puede hacer: producir un solo GPU extra.
Los futuros gestionan el precio del problema. Theta EdgeCloud resuelve el problema físico. BlackRock puso el precio al compute. Theta construye la infraestructura que lo entrega. ⛽
$THETA @Theta_Network 🌎🎯
Theta University Partnerships fall into 9 categories ranked by market size:
1. Hybrid Cloud-Edge Infrastructure
2. Distributed GPU Compute
3. AI Inference
4. AI Training
5. LLMs and Multimodal AI
6. AWS Trainium / AI Acceleration
7. Healthcare AI
8. Federated and Decentralized Computing
9. Blockchain-Integrated AI Systems
Note: The largest measurable umbrella is AI infrastructure, estimated around $75B to $142B+ in 2026, depending on the source. Generative AI is also massive, projected around $83B to $161B in 2026, but Theta’s core market fit is more infrastructure and inference than consumer AI apps. (https://t.co/Xf5ITBcvTH)
United States
• Atlanta, Georgia | Emory University | Music/audio AI, generative AI research
• Chicago, Illinois | Illinois Institute of Technology | Personalization, recommender systems, human-centric AI
• East Lansing, Michigan | Michigan State University | AI research
• Eugene, Oregon | University of Oregon | Distributed systems, blockchain, federated learning, AI training/inference
• Fairfax, Virginia | George Mason University | Security, privacy, hybrid AI infrastructure
• Stanford, California | Stanford University | LLM research, optimization, AI model training
• Syracuse, New York | Syracuse University | AWS Trainium, generative AI, diffusion models
South Korea
• Daejeon | KAIST | Computer vision, NLP, AI model training
• Seoul | Chung-Ang University | Low-resource AI, NLP, multimodal learning
• Seoul | Hankuk University of Foreign Studies | Biomedical AI, multimodal LLMs, medical imaging
• Seoul | Korea University | Transfer learning, domain adaptation, multimodal AI
• Seoul | Seoul National University | Ambient AI, IoT, healthcare AI
• Seoul | Seoul Women’s University | Healthcare AI, bioinformatics, deep learning
• Seoul | SeoulTech / Seoul National University of Science and Technology | Academic AI research utilizing Theta EdgeCloud
• Seoul | Yonsei University | AI agents, AI inference/training, AWS Trainium scaling
• Suwon | Ajou University | Edge computing, anomaly detection, distributed AI, 6G research
China
• Beijing | Peking University | Distributed machine learning, blockchain-integrated AI, AI research
Singapore
• Singapore | Nanyang Technological University | Speech AI, NLP, language processing
Hong Kong
• Hong Kong | University of Hong Kong | AI and distributed compute research
United Kingdom
• London | City St George’s, University of London | AI research utilizing Theta EdgeCloud decentralized GPU infrastructure
• London | Imperial College London | Trustworthy AI, robustness, AI security research