Results for “agents”

…cost of ecosystem fragmentation and migration tax (tetsuo_cpp). Agents & developer workflow: “agent files,” prompt/system improvements at scale, and the reality of big codebases Agents-as-folders + Skills standardization: LangChain’s…

Artificial Analysis benchmarks AI models and agents, the infrastructure serving them, and the chips they run on. Cofounded by Micah Hill-Smith and George Cameron, it combines a free public comparison website with paid enterprise insights…

…and the emerging Code x LLM paradigms. Plus: Recursive Function Agents! Latent.Space

…had become relatively trivial. Priorities shifted toward coding agents, comparable workflows in other professions and reliable reasoning over long contexts. An evaluator recalls running DeepSeek-V3 tests on Boxing Day in New Zealand in…

…on OpenAI's potential impact on call centers, suggesting AI agents could replace human operators within two years. Google DeepMind's Achievements: @adcock_brett highlighted that "Google DeepMind's AlphaProof and AlphaGeometry 2 achieved a…

…19, 2025 Azure AI Foundry announcement, framing more capable agents as requiring models, integrated tools, and built-in governance. She described connected agents that call one another as tools, alongside stateful workflows that manage…

…vulnerability discovery. Cursor launched faster cloud coding agents, though transparency concerns arose regarding base-model provenance. Cognition released a public beta for a desktop/mobile tool-use agent named Devin. The community…

…work includes learning actions from observations and building agents that operate across tasks. She contributed to the concept and project leadership of Genie, as well as its action model research, agent training and demonstration. Her…

…are now as important as base-model quality in video. Agents, Harnesses, and Enterprise ToolingHarnesses becoming first-class: A recurring theme was that model capability is increasingly mediated by the agent harness. @omarsar0 highlighted…

…her Google DeepMind work as PM lead on Gemini, self-coding agents, self-evolving systems, and reinforcement-learning research. Her public writing focuses on the practical choices that shape RL training: environments, model traces, reward…

…Natural Language Commands: The Text2Control method enables agents to perform new tasks by interpreting natural language commands with vision-language models. This approach outperforms multitask reinforcement learning baselines in zero-shot …

AutoGPT builds tools for AI agents to carry out multistep work. Created by Toran Bruce Richards, founder of Significant Gravitas, it began as a standalone agent that generated its own prompts and selected subsequent actions toward a user’s …