Results for “agents”

…Code integration and analytics for running background code agents at scale (launch). Realtime voice and telephony: OpenAI clarified the unified WebRTC API, SIP docs, GA/beta deltas, and added client idle detection in Realtime API (docs…

…to return. By this conversation, he predicted that LLM agents could become a trillion-dollar market before AI robotics reached even $10 billion. His reasoning rests on two successive hurdles: establish a useful application, then make its…

…He said autoresearch “allows you to build loops in which agents help maintain the system itself.” He called it an “outer loop” that “studies and maintains” the primary, inner loop. While autoresearch was not specifically mentioned by…

…to environments intended to be playable by humans and AI agents. Its three components connect visual representation to control: - A video tokenizer represents video through discrete codes. - A latent action model infers changes from frame…

…models. AI Agent Efficiency: @rohanpaul_ai noted that when AI agents can do a task, they do so at 3% of the cost of a human baseline. In the test mentioned, they could complete about 40% of tasks at that efficiency. Challenges with LLM…

…to support applications such as developer-built research agents. Repeated chats over the same material offer a straightforward reason to cache context—retain material for reuse. Gemini offered two approaches: - Implicit caching…

…offers a local, privacy-focused alternative for autonomous agents. Ethical concerns are raised about AGI development priorities and Anthropic's alignment with human values. Technical discussions emphasize emergence in AI and training…

…the wrong thing. He also teaches developers how to build coding agents themselves. Ralph: a loop with engineering controls In his Ralph explanation, first published in July 2025, Huntley writes: “Ralph is a technique. In its purest form,…

…team of more than 120 engineers building conversational AI agents for enterprise customer service. Before joining Sierra, she worked in technology policy, taught herself to code and spent five years at Palantir. Forward deployed engineering…

…and changing it—rather than simply delegate the process to agents. Understanding as creative participation In his July 2026 talk writeup, “Understanding is the new bottleneck”, Litt argues that understanding agent-written code matters…

…platforms. Workflow and Automation: @bindureddy detailed how agents manage workflows, data transformation, and visualization widgets, while @llama_index provided resources for building agentic workflows in invoice processing. Industry…

…intervals rather than rely on a single run. Evaluating agents through their work Cameron described the team’s GDPVal AA work as adapting OpenAI’s GDPVal dataset into an evaluation runnable across models. The team built a reference agent…