The LGTM (Page 17)

The LGTM

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GitHub’s Copilot Cohorts Turn Agent Usage Into an Admin Metric

GitHub’s Copilot Cohorts Turn Agent Usage Into an Admin Metric

Copilot adoption has finally outgrown the dashboard metric that made every rollout look better than it was: “active users.” GitHub’s latest Copilot usage metrics update adds AI adoption cohorts to the API, and the interesting part is not that admins get one more field to query. It is that

Microsoft 365 Copilot’s Redesign Turns the Prompt Box Into a Runtime

Microsoft 365 Copilot’s Redesign Turns the Prompt Box Into a Runtime

Microsoft’s redesigned Microsoft 365 Copilot is easy to mistake for a UI refresh. Cleaner app, bigger prompt area, faster loading, better navigation — fine, ship it. But the actual move is larger than a prettier assistant. Microsoft is turning the prompt box into a work surface, and that changes what

Grok Imagine Video Becomes a Real API Surface — Short Clips, Async Polling, and Costs Builders Can Model

Grok Imagine Video Becomes a Real API Surface — Short Clips, Async Polling, and Costs Builders Can Model

The useful version of AI video generation is not the viral clip. It is the boring API contract behind the clip: submit a job, poll for status, get a temporary asset, track cost, and decide what your product does when the model takes three minutes, fails moderation, or produces something

Grok Build’s Enterprise Docs Make the Coding Agent Race About Policy, Not Just Prompts

Enterprise coding agents are not going to win because they autocomplete faster. They are going to win because security teams can let them touch real repositories without turning every laptop into an unreviewed production system. That is why xAI’s refreshed Grok Build enterprise deployment docs matter: they move the

Google’s Futures Lab Shows AI Education Needs Feedback Loops, Not Chat Windows

Google’s Futures Lab Shows AI Education Needs Feedback Loops, Not Chat Windows

Most AI education products still look like homework wearing a chatbot costume. Google’s latest Futures Lab post is useful because the highlighted prototypes do something more interesting: they watch, respond, and correct inside a real practice loop. The post is small — three student-built examples from a Google-funded partnership with

OmniRetrieval Says RAG Should Stop Flattening Every Data Source Into the Same Vector Soup

OmniRetrieval Says RAG Should Stop Flattening Every Data Source Into the Same Vector Soup

Most RAG stacks are built around a convenient fiction: every useful source of knowledge can be flattened into chunks, embedded, and ranked by semantic similarity. That works often enough to become a default, and badly enough to become a recurring production tax. Real organizations do not keep knowledge in one

UI-KOBE Makes the Case for Small GUI Agents With Maps, Not Bigger Brains

UI-KOBE Makes the Case for Small GUI Agents With Maps, Not Bigger Brains

UI-KOBE is a useful reminder that “use a bigger model” is often a lazy answer to an environment problem. Mobile GUI agents spend a depressing amount of runtime rediscovering facts that should be durable. This button opens settings. That screen is a dead end. The account page sits behind two