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AI Costs Rise With Usage: How Can Enterprises Improve Model Efficiency?
Beginner

AI Costs Rise With Usage: How Can Enterprises Improve Model Efficiency?

Machine-native trading is a business model where AI agents or software proxies independently perform transactions for goods, services, data, and hashrate. In this setup, transaction initiators, payers, and executors are not solely humans—they can be programs that comprehend tasks, utilize tools, manage funds, and make decisions according to established rules.
Anthropic vs. OpenAI: Revenue, Compute Capacity, and Business Models Compared
Beginner

Anthropic vs. OpenAI: Revenue, Compute Capacity, and Business Models Compared

Anthropic and OpenAI are both technology companies specializing in large language models and generative AI. Anthropic is known for its Claude family of models and its vision of “interpretable, controllable AI,” while OpenAI has become a leading gateway to the generative AI market through its GPT family, ChatGPT, and expansive developer ecosystem.
What Comes Next for RWA? From Asset Issuance to Trading, Collateral, and Settlement
Beginner

What Comes Next for RWA? From Asset Issuance to Trading, Collateral, and Settlement

RWA is evolving beyond basic asset tokenization into continuous trading, on-chain collateralization, and real-time settlement. Explore the development drivers, infrastructure, and risks behind tokenized government bonds, equities, and private credit.