Mercury 2

Mercury is Inception’s family of diffusion-based language models for generating text and code. Unlike autoregressive language models that generate tokens sequentially, Mercury generates discrete tokens in parallel to improve inference scaling, hardware utilization on standard GPUs, and latency. The models target production serving and latency-sensitive applications such as voice agents, with quality comparable to speed-optimized models from frontier laboratories while generating outputs significantly faster.

NeoHorse is TokenRhythm's family of open-weight causal language models for text-based agent workflows, including tool use, coding, and instruction following. NeoHorse-1 uses routing-guided agentic post-training: a harness assigns tasks to a heterogeneous model pool, records tool interactions and outcomes, estimates capability demand, and feeds capability-level feedback into later training mixtures. Updated models can return to the harness in an evaluation-selection-update loop intended as a prototype for recursive self-improvement. NeoHorse-1 is released in approximately 4B and 9B parameter variants, post-trained from Qwen3.5 models, with text input and text output interfaces and deployment examples for vLLM and SGLang. The related NeoHorse-Jev-4B model uses prefill-only inference to return structured Choice, Noul, and Score decisions and probabilities for routing requests, selecting tools, or controlling workflows. The models are released under the Apache License 2.0.

Mercor is a data and talent service discussed as providing training information for frontier AI models. The video emphasizes the company’s rapid growth and high valuation.

MiniMax is an artificial-intelligence company and model provider offering large language models through hosted APIs, including models designed for coding, reasoning, and tool-using agent workflows. It is used as a model provider by agent frameworks such as Hermes Agent.