Reka AI's Rho-1 training combines next-token prediction for discrete sequences, such as text and symbolic reasoning, with flow matching for continuous outputs, including image latents, video frames, and robot actions

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Mach9 developed and trained proprietary in-house AI models to turn multimodal image and laser scan datasets into survey-grade geometry at centimeter accuracy.

Reflection AI trained Beam using intensive reinforcement learning that penalized the model whenever it generated unnecessary tokens to complete a task

Black Forest Labs incorporated shared training across images, video, and audio to help FLUX 3 Image Klein learn visual structure and physical behavior

Nvidia released Nemotron 3.5 Super VL, an open-weight multimodal 120-billion-parameter model designed for continuous enterprise AI agents on October 15, 2026

Meta's Muse Spark Open features 816 billion total parameters, 42 billion active parameters, up to 1 million tokens of context window, and native multimodal support for text, image, video, and audio

Nemotron 3.5 Super VL parses PDFs, tables, charts, and videos without requiring a separate vision model, achieving an 80.8 percent score on the CharXiv chart benchmark

Anthropic implemented new safeguards restricting access to Claude's reasoning that reduced reasoning tokens extracted from Claude AI models by 90% to 99%, or 10 to 100 times lower than previous levels

Anthropic made it harder to use proxy networks to probe Claude AI models by restricting access to internal reasoning steps, running an extraction detection classifier, and blocking automated queries

Google broadly released its flagship Gemini 4 Argon multimodal AI model globally on October 13, 2026, making it available to developers, businesses, and consumers

Google reported that Gemini 4 Argon achieved an 87% score on Google's Embodied Reasoning Question Answering benchmark and instructed Apptronik's Apollo humanoid robot to land seven consecutive cornhole throws

Restricting public access to AI reasoning steps does more harm than good

Google brought back co-founders Noam Shazeer and Daniel De Freitas in 2024 specifically to improve the company's AI reasoning models

Google announced its new generation of Gemini 4 models in September 2026, establishing Argon as its primary frontier reasoning model

OpenAI stated that GPT-6 can respond while still thinking, which cuts user wait times by 44 percent and scored higher than GPT-5.6 on difficult web searches in internal tests

OpenAI's launch of ChatGPT's Intelligent UI alongside GPT-6 signals a broader evolution of chatbots into multimodal experiences where text, images, and voice blend into a single interactive user experience

Reka AI's Rho-1 processes all modalities as tokens inside a single shared context window, eliminating the need for tool calls, external models, or multi-agent pipelines

On October 5, 2026, Reka AI released a research preview of Rho-1, a 19-billion-parameter omni-reasoning model that processes and generates text, images, video, and robot control actions in a single neural network

Single omni-models are more effective than multi-agent pipelines for multimodal AI

To address scarce robot training data, Reka AI paired Rho-1 with an Inverse Dynamics Model that infers control signals from raw internet videos

Rho-1 outputs native continuous action tokens and future video frames from the same latent state, emitting 7 action channels in a LIBERO simulation episode