On June 30, StarkWare released the Starknet quantum-resistant roadmap, which is divided into three phases to address the risks of future quantum computing attacks. The first phase of the roadmap includes replacing some existing security mathematical mechanisms, specifically the Pedersen hash, with quantum-resistant versions and incorporating quantum-resistant signatures. The second phase focuses on migration tools that upgrade existing smart contracts without requiring developers to manually rebuild applications. The third phase involves dependencies that Starknet cannot resolve independently, primarily relying on Ethereum's quantum upgrade roadmap.
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StarkWare Releases Starknet Quantum-Resistant Roadmap
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OpenAI Discovers New Method to Halve Inference Costs
According to a source familiar with the discussions, there is previously undisclosed news: earlier this month, OpenAI engineers informed some colleagues that, relying on several newly developed optimization technologies, they have found a solution that can reduce model inference costs by more than half. After applying this new technology to scenarios where free/paid account visitors use ChatGPT, the number of required Nvidia graphics processing units (GPUs) was reduced to just a few hundred — a remarkably low figure. It is currently unclear what specific technical means OpenAI used to achieve this significant improvement in computational efficiency. Common optimization methods in the industry generally include: quantization compression, key-value caching, batch processing of user queries instead of computing them individually, and redirecting some requests to lower-power lightweight models or model shards for responses. -
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