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