Kimi K3.1 Pro is an open-weight, natively multimodal agentic model, and our most capable 3T-class model to date. Post-trained from Kimi K3 with large-scale joint reinforcement learning across hundreds of downstream domains, it is the first model in the K3.1 series. With a…
Ricursive Intelligence is releasing Ripple-65B Preview, a 65-billion-parameter open-weight language model that the company says achieves the top score among open-source U.S. models on the TerminalBench 2.1 coding benchmark at a total R&D cost of $32 million. On other…
Perplexity is expanding its artificial intelligence platform with a new feature called Teammates, designed to let users delegate ongoing work to AI agents. Inst
Search-focused AI tool Perplexity is joining rivals such as Anthropic, OpenAI, and Microsoft by introducing AI agent tech built for complex work projects. Perplexity already has a suite of agentic tools called Computer,
Every week is a busy week in the artificial intelligence industry, and this week is no exception. As voters expressed serious concerns about AI and data centers at the ballot box, OpenAI and Anthropic — makers of ChatGPT and Claude, respectively — each dropped new updates to make their chatbots a little more capable.
Production LLM agents are evaluated repeatedly as they evolve, but full agent benchmarks are costly to rerun. We study efficient recurring evaluation for a production analytics agent serving tens of thousands of monthly active users and report first-hand deployment experience.…
Achieving high task success and efficiency remains a central pursuit in embodied exploration. Existing frameworks typically guide agent behavior through a spatially coarse and indirect assessment of suggestive cues and directions, yet such designs may struggle to judge cue…