research-preview

Research preview for a voice-agent reasoning harness that lets a realtime assistant think between turns without adding in-band latency. The page includes benchmark results, pricing, example behavior, and a description of the architecture behind Waterr’s AI meetings.

Anthropic’s research preview introduces the Model Hardware Standard (MHS), a shared spec for AI agents to control physical devices and orchestrate lab or manufacturing equipment. The page explains how the standard works, shows early lab examples, and positions it as an upcoming open source standard for hardware integra

GitHub’s research preview on multi-model orchestration for coding tasks. The page describes adaptive workflow selection and includes benchmark comparisons against the Opus 5 baseline with estimated cost reduction claims.