According to Andrew Ng, parallel agents are emerging as an important new direction for scaling AI, alongside increases in training data, training-time compute, and test-time compute. Source: Andrew Ng on X, Aug 28, 2025, https://twitter.com/AndrewYNg/status/1961118026398617648 Ng adds that running multiple agents in parallel is growing as a technique to further scale and improve AI capabilities, underscoring test-time compute as a scaling lever to watch. Source: Andrew Ng on X, Aug 28, 2025, https://twitter.com/AndrewYNg/status/1961118026398617648 This emphasis defines concrete scaling vectors at inference time that market participants can reference when assessing AI-related opportunities. Source: Andrew Ng on X, Aug 28, 2025, https://twitter.com/AndrewYNg/status/1961118026398617648

According to @bolsaverse, AO blockchain's innovative technologies such as infinite sharding, optimistic arbitration, and decentralized storage uniquely position it as an optimal network for AI scaling, DeFi, and high-performance computing. These features reportedly make AO more efficient than traditional blockchains, which struggle with AI-scale operations. Currently, AO is in its initial legacynet phase, indicating potential future growth and trading opportunities.