Image Generation Quality Mode is now available on the xAI API. This model has already powered the generation of over 300 million images on Grok. It brings higher realism, stronger text rendering, and better creative control for business professionals. https://t.co/se5D7T5RJW
MRC is already deployed across all of OpenAI’s largest supercomputers that we use to train frontier models, including our site with @Oracle Cloud Infrastructure (OCI) in Abilene, Texas, and in @Microsoft’s Fairwater supercomputers. MRC is now available through the https://t.co/KJHyfX0RTd
We’re collaborating with @ServiceNow to deliver autonomous AI agents that can act across enterprise workflows with governance, auditability and secure execution built in. At @ServiceNow Knowledge 2026, ServiceNow introduced Project Arc, a long-running desktop agent built on open https://t.co/0L2L0uZbqy
.@Adobe is building Adobe CX Enterprise Coworker on NemoClaw. Anil Chakravarthy, President of CX Orchestration Business at Adobe, explains how brands can deploy Adobe’s customer experience intelligence within NVIDIA's OpenShell runtime — keeping enterprise agents governed, https://t.co/EruhPLHySN
The early signs are always there. These startups are making sure we catch them. #NVIDIAInception startups are turning sensors, satellites, and advanced models into early warning systems across some of the hardest problems to solve: 🛰️ Wildfire detection and damage assessment https://t.co/XxALHNk0M2
We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs. With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster to bring models up to https://t.co/5o4gEh5yGf
Finance Search is now available in the Perplexity Agent API. In one tool call, developers can now retrieve licensed financial datasets, real-time market data, and cited web sources for agents that need current, verifiable financial answers. https://t.co/cfZM7qfboc
You can now see a breakdown of your agent's context usage in Cursor 3.3. Use these stats to diagnose context issues and improve your setup across rules, skills, MCPs, and subagents. https://t.co/lqs2lp8pn2
We use previous generations of Composer to train future ones. Our autoinstall system has earlier Composer models set up dev environments for RL training. That way, the next generation can focus on learning to solve harder problems. https://t.co/GbZILEfhAt
Agents maintain full context across channels and modalities. An agent on a voice call can send a message mid-conversation to confirm an appointment or share a document - then process what comes back, all in the same interaction. https://t.co/9q2LlvGwBG
.@MercedesBenz is rethinking how data powers the shift to electric and connected vehicles. By moving from siloed systems to a cross-cloud data sharing model, they cut egress costs by 66%, improved data freshness, and made critical after-sales insights more accessible across https://t.co/KcSMaXHohY
On your website or app, customers can upload images and PDFs directly in the widget. Proof of address, medical records, insurance claim documents - the agent processes the file and resolves the issue in the same conversation. https://t.co/Xde9MAme9w
On WhatsApp, ElevenAgents now processes images, PDFs, audio messages, contacts, and location pins. A customer says "my wifi keeps dropping" and sends a photo of their router. The agent reads the indicator lights, runs a line check, and books an engineer visit without human https://t.co/MbpWLiI9zF
Introducing new modalities for ElevenAgents Your customers don't just talk or type. They send photos, files, voice notes, and locations, and reach out across channels. Now your agents handle all of it. https://t.co/dx4B4GchPu