AI governance

An open AI policy document sits beside model weights, compute racks, and public-institution markers

Microsoft makes the policy case for open-weight AI

Shared AI credit tokens flow through team lanes while one cost center lane is stopped by a cap gauge

GitHub cost centers can cap shared AI credit pools

GitHub added AI credit pools for cost centers, letting enterprise admins cap how much monthly included Copilot credit one group can draw before metered budgets apply.

The AI Feed Desk

By The AI Feed Desk

A routing switchboard sends coding tasks into different model lanes from an admin control plate

Copilot auto model selection turns routing into an admin setting

GitHub Enterprise admins can now default Copilot conversations to auto model selection through managed-settings.json, tying model routing to enterprise AI standards.

The AI Feed Desk

By The AI Feed Desk

An abstract coding agent session timeline flows into a secure audit collector

GitHub exposes Copilot agent sessions for enterprise audit

GitHub's public preview lets enterprise owners stream or retrieve Copilot agent session data, including prompts, responses, and tool calls, across major Copilot clients.

The AI Feed Desk

By The AI Feed Desk

Developer tasks pass through a policy gate into several abstract model routing lanes with a cost meter below

GitHub turns Copilot model choice into a governed routing layer

GitHub's July 1 Copilot changes put model routing, browser tools, vision, Kimi K2.7 Code access, and AI-credit caps under clearer admin control.

The AI Feed Desk

By The AI Feed Desk

An enterprise AI admin console with credit usage gauges, team budget controls, and ChatGPT and Codex activity streams

OpenAI puts ChatGPT Enterprise spend into the admin console

OpenAI is adding credit usage analytics and updated spend controls for ChatGPT Enterprise, including ChatGPT and Codex usage by user, product, and model.

The AI Feed Desk

By The AI Feed Desk