According to @sama, daily usage of reasoning models has climbed from under 1% to 7% among free users and from 7% to 24% among Plus users, and he emphasized that raising rate limits is important as he expects reasoning usage to keep growing; source: @sama on X, Aug 10, 2025. For traders, this indicates accelerating demand for high-compute inference workloads; OpenAI lists reasoning models with higher pricing and stricter rate limits than standard models, framing the current throughput and capacity constraints that make rate limit changes market-relevant; source: OpenAI pricing and rate limit documentation (2024). AI infrastructure narratives remain directly relevant to crypto-exposed compute networks serving AI workloads, including Render Network (RNDR) and Akash Network (AKT), which position decentralized GPU resources for inference and training; source: Render Network documentation; Akash Network documentation.

According to @sama, the effort involves partners Microsoft, Nvidia, Oracle, Google, and CoreWeave, confirming active collaboration across multiple providers (source: @sama on X, August 7, 2025). According to @sama, lots of GPUs are working overtime, indicating substantial live GPU utilization at the time of posting (source: @sama on X, August 7, 2025). According to @sama, no cryptocurrencies or blockchain integrations are mentioned in the post, and no token tickers are cited (source: @sama on X, August 7, 2025).

According to @StockMKTNewz, Amazon $AMZN is planning to have its delivery robots ride in Rivian $RIVN trucks, signaling a likely increase in compute requirements for logistics operations. This move could accelerate the adoption of AI and edge computing in automated delivery, which may benefit crypto projects focused on decentralized computing and IoT, such as Fetch.ai and IOTA. Traders should monitor potential partnerships and hardware integration news, as increased demand for AI compute infrastructure could positively influence the value of related crypto assets. Source: @StockMKTNewz