How do we stop employees pasting sensitive data into AI chats?

The extension and the desktop app check the text on the device and redact personal data and secrets before it is sent, under the policy your workspace sets.

How do we govern which AI models employees use?

Routing rules say which models may answer which requests - by data boundary, region, cost or team - and every request that broke a rule is in the audit trail.

Do people need training to use it?

No. The extension and the desktop app sit under the composer people already use and show the price and the pick; nothing changes in how they work.

Blog

Results for “rendering”

Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.

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#ai 750 #agents 742 #news 654

AgentsSep 23, 20262 min read

GitHub Copilot handles massive pull requests better now

GitHub rebuilt its app view to render huge diffs and comments smoothly.

From GitHub blog: AI & ML

LLMsSep 22, 20261 min read

What’s New for Game Developers: DLSS 5 with 3D-Guided Neural Rendering, NVIDIA ACE Updates, and New RTX Kit Capabilities

NVIDIA DLSS 5 introduces DLSS 3D-Guided Neural Rendering and granular controls that help game developers add lifelike lighting and material detail while...

From NVIDIA technical blog

How this blog is made

Every post is a routed request.

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace. Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau

For the business

What it does for the people who use AI all day.

A quote under the composer
The price before you send
The browser extension shows the cost and the router's pick on the AI sites your teams already use.
The extension
A trace with every answer
Every decision explained
Which model answered, why it won, what it cost and what the alternatives were - kept for the retention period you set.
Open a trace
Checks on the device
Safe AI at every desk
Personal data and secrets are flagged and redacted on the computer, before a message leaves it.

ResearchSep 14, 20261 min read

Neural Parameterization in Gaussian Splatting: A Taxonomy Study

Research identifies five axes of neural parameterization in recent Gaussian Splatting systems, revealing a nuanced approach beyond simple neural labels. A controlled study of mip-NeRF 360 demonstrates that sharing appearance and opacity improves reconstruction quality, while geometric structure decoding provides no further benefit.

From arXiv cs.AI

AISep 13, 20261 min read

Hierarchical NeRF with JAX3D for Volumetric Rendering, Novel-View Synthesis, and 3D Reconstruction

In this tutorial, we build an end-to-end hierarchical Neural Radiance Field (NeRF) using JAX, Flax, Optax, and the volume-rendering primitives provided by jax3d. We first construct a synthetic multi-view dataset from an analytic scene co...

From MarkTechPost

ModelsSep 9, 20261 min read

Google AI Demonstrates Film Reconstruction with AI

Google AI showcased a system capable of reconstructing a 70-year-old film from a single print. The technology uses a large language model to analyze the film and generate a new, high-resolution version.

From Google AI blog

LLMsSep 7, 20261 min read

Git kernel's CPU drain from abusive crawlers

Git.kernel.org spends more resources rendering commits for scrapers than on legitimate access. This affects services like Datasette.

From Simon Willison

LLMsSep 5, 20261 min read

Using Blender with coding agents on macOS for image generation

Blender can be used with coding agents on macOS by installing the full application and running prompts via ChatGPT Codex. This enables scene rendering with API-based control.

From Simon Willison

LLMsSep 2, 20261 min read

NVIDIA PAIR Virtual Inference Router Enhances Local Network Compute

NVIDIA announced the PAIR Virtual Inference Router, expanding available compute on local networks for AI agents working collaboratively. It enables a lead agent to delegate tasks to specialized subagents.

From NVIDIA technical blog

ModelsJul 16, 20261 min read

Connect more of your apps to Search

Connected apps rendering

From Google AI blog

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

Archive (100)

The desktop app

How do we stop employees pasting sensitive data into AI chats?: The extension and the desktop app check the text on the device and redact personal data and secrets before it is sent, under the policy your workspace sets.
How do we govern which AI models employees use?: Routing rules say which models may answer which requests - by data boundary, region, cost or team - and every request that broke a rule is in the audit trail.
Do people need training to use it?: No. The extension and the desktop app sit under the composer people already use and show the price and the pick; nothing changes in how they work.

Results for “rendering”

Every post is a routed request.

What it does for the people who use AI all day.

The price before you send

Every decision explained

Safe AI at every desk