Perplexity brings a fully local AI agent to Windows RTX PCs; a robotics startup ships a body-agnostic manipulation model

Perplexity's "Portable Computer" now runs entirely on-device on NVIDIA RTX Windows PCs with zero cloud credits; Reward AI released OM-1, a manipulation policy trained only on human demonstrations that transfers zero-shot across arms and humanoids.

2 stories · 0 sources · 2 min read · listen 3:30

Top signal

01

Perplexity brings its local-first AI agent to Windows RTX PCs

Perplexity launched Portable Computer for Windows, extending its "Computer" agent platform (previously Linux + NVIDIA DGX Spark only) to Windows PCs with NVIDIA GeForce RTX or RTX PRO GPUs (24GB+ VRAM required). Per NVIDIA's own blog and Perplexity's release notes, the app ships with a one-click local model (Qwen 3.8 27B, post-trained for the task) plus connectors for Outlook, OneDrive, Word, Google Drive, Gmail, Slack and GitHub. The agent plans and executes multi-step workflows on local files by default and only asks permission before sending any step to a cloud model. It's available now to Pro/Max subscribers on individual and enterprise plans.

Signal: this is a real push to move agentic AI workloads off the cloud entirely — inference, files, and the agent harness all run on-device, and local work costs zero Perplexity credits.

02

Reward AI ships OM-1, a robot manipulation model trained only on human data

Robotics startup Reward AI (team behind DexCap, HumanPlus and ALOHA) released OM-1 ("Omnibody Model 1"), built around what they call "One Model, One Data Interface, Any Body." Per the company's own blog, OM-1 picks up a brand-new manipulation task — including long-horizon, dynamically hard ones — from under 30 minutes of human demonstration data, and the same policy runs across table-top arms, industrial arms and full humanoids without per-robot retraining. No success-rate numbers, baseline comparisons or paper have been published yet, so treat the demo clips (posted at 1x speed, per their own disclosure) as promising but unverified.

Signal: no teleoperation data, no on-robot data at all — trained purely from a sensorized glove worn by humans, then deployed unchanged across industrial arms, humanoids and wheeled manipulators. Andrej-Karpathy-adjacent researcher Thomas Wolf reacted with a one-word "Wow."

Worth watching

Windows' own account publicly praised the Perplexity launch — a notable cross-platform local-AI moment, since Microsoft rarely amplifies a competitor-adjacent agent product this directly.

Bottom line

Two unrelated but complementary signals: AI agents are being pushed further onto local hardware (Perplexity/NVIDIA), and robot foundation models are trying to escape per-robot data collection entirely (Reward AI). Both point the same direction — less reliance on centralized cloud infrastructure and bespoke training data to get useful AI behavior.

Sources scanned

X/Twitter following feed, plus @AnthropicAI, @OpenAI and @sama — all three had nothing new since the last briefing.