Results for “agents”

…A learned simulator could fill that gap. This ambition—embodied agents interacting with the world—is presented as complementary to language-model agents pursuing long-horizon tasks in text-based environments. The ICML 2024 recording then…

…a starting point and argues that better abstractions could help agents learn on the job. The pushback is that memory may be difficult rather than neglected. Swyx acknowledges efforts such as LangMem, while maintaining that persistent memory…

…feels substantially more productive with asynchronous coding agents but rejects treating an intuitive “10×” as a measured speedup. A fixed historical task set captures only part of the change: AI also expands what people attempt. A…

…underrating multimodality. A focus on reliable reasoning and agents had made image and video generation seem less central. Sora prompts a reassessment of their cultural and human impact. The optimistic argument is that depicting motion…

…tasks reliably gradable, then connect those results with what agents enable people to do.

…practical, and powerful. Practical improvements retain value as agents become more capable. Cascade combines streamed changes, navigation to diffs, background terminal execution, and visibility into running processes. These small mechanisms…

…an argument for voluntary cooperation. One speaker favors agents that reason about their circumstances and establish why cooperation is good, arguing that imposed behavior is unsustainable without that understanding. For Claude, they…

…an early field to combine resources and exchange ideas. As agents make coding more accessible, choosing a worthwhile question becomes more consequential. Implementing a method exposes details hidden in a paper’s equations, even as agents…