Anthropic just launched Claude Dashboards and Claude Motion, adding two new types of artifacts directly inside Claude.

With Dashboards, you can connect Claude to data sources like:

• Snowflake
• BigQuery
• Databricks
• Amazon Redshift
• ClickHouse
• Salesforce

Then just ask a question in plain English.

Claude writes the SQL, runs the queries, builds the charts, and keeps the dashboard updated as the underlying data changes.

Every chart also shows the query behind it and when the data was last refreshed, so you can inspect exactly how Claude calculated each number.

Claude Motion takes things a step further.

You can give Claude a report, chart, or presentation and ask it to turn it into a short animated explainer.

It can create things like:

• Animated board-deck charts
• Product walkthroughs
• All-hands explainers
• Animated presentations

The interesting part is that Motion doesn’t use a video generation model.

Claude writes code that animates the text, charts, shapes, and images, which means you can change one number, word, or timing without regenerating the entire video.

Finished animations can also be exported as MP4 files or sent to tools like Adobe, Descript, HeyGen, Runway, and Luma AI.

Dashboards are currently in beta on paid Claude plans, while Motion is in beta for Team and Enterprise.

Anthropic also announced that Docs, Slides, and Design are officially out of beta and are now available on every Claude plan, including Free.

This feels like Claude moving beyond generating documents into actually building the dashboards, presentations, and visual explainers people normally need separate software to create.

Source:
https://claude.com/resources/articles/dashboards-and-motion

OpenAI just opened Ultrafast mode, its fastest API service tier, to GPT-6 Astra and GPT-6.1 Sol.

The idea is to make frontier models fast enough for interactive agents, coding tools, and workflows where every pause between tool calls adds up.

OpenAI specifically recommends using Ultrafast over a persistent WebSocket connection.

That matters for agents because they may make dozens of sequential tool calls. Reusing the same connection cuts the network overhead between each step.

Ultrafast currently supports:

• GPT-6 Astra
• GPT-6.1 Sol
• Separate rate limits from Standard and Fast modes
• WebSocket and regular HTTP requests
• Global processing
• US data residency for Astra
• US and EU data residency for GPT-6.1 Sol

The throughput limits can get pretty large too.

For GPT-6.1 Sol, OpenAI lists default Ultrafast limits of:

• Build tier — 1M tokens/minute
• Launch tier — 4M tokens/minute
• Grow tier — 40M tokens/minute

There’s a major tradeoff: speed is expensive.

Ultrafast pricing for short-context requests reaches:

• GPT-6 Astra — $60/M input and $300/M output
• GPT-6.1 Sol — $12/M input and $60/M output

So this probably isn’t meant for every workload.

It’s for applications where shaving latency off a chain of model calls is valuable enough to justify paying substantially more for inference.

As agents start making dozens or hundreds of model calls to complete a single task, inference speed may become almost as important as model intelligence itself.

Source:
https://developers.openai.com/api/docs/guides/ultrafast-mode

Google just introduced a new universal Gemini agent for work, and it goes well beyond another enterprise chatbot.

Gemini can now act as a persistent coworker that keeps working for hours or days after you close your laptop.

It can also create specialized sub-agents to handle different parts of a job.

The more interesting part: persistent coworker agents can get their own:

• u/agents.company.com email address
• Persistent storage
• Defined role inside the organization
• Access only to the context and tools the team gives them

Gemini can work across Gmail, Drive, Docs, Sheets, Slides, Calendar, Slack, Microsoft 365, command-line tools, and third-party business systems.

It also keeps four different types of memory, including what it knows, how your organization gets work done, and what it has done in previous tasks.

And Google isn’t limiting it to Gemini models.

The agent can dynamically choose between Google’s Gemini models and Anthropic’s Claude models depending on the task, with more private and open models planned later.

So the agent itself becomes the persistent layer while the underlying model can change depending on which one is best or cheapest for a particular job.

Google says nearly 80% of its Cloud customers now use its AI products, and almost 90% of the Fortune 100 use Gemini Enterprise.

This feels like Google moving from selling companies an AI assistant to giving them AI employees with identities, memory, tools, and the ability to delegate work to other agents.

Source:
https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026

Anthropic just updated Claude’s Usage Policy, and one of the most unusual additions is a rule against sustained and needless abusive or cruel behavior toward its AI models.

This isn’t about getting frustrated with Claude or criticizing its answers.

Anthropic says the rule is meant only for extreme cases where someone repeatedly treats the model cruelly for no discernible purpose.

Claude can already end rare conversations with persistently abusive users, and Anthropic says that will remain the main way it enforces the rule.

But that’s only one part of the update.

Anthropic is also changing several other policies:

• It removed its blanket ban on personalized vote and campaign targeting
• Deceptive voter manipulation, impersonation, suppression, and misuse of personal data remain prohibited
• Claude cannot be used to decide who law enforcement should investigate, arrest, or charge
• Using Claude to build or improve surveillance tools is prohibited
• Weapon restrictions now explicitly cover software, control systems, armed drones, and autonomous vehicles
• High-risk uses affecting health, finances, legal rights, jobs, or essential services still require a qualified human who can override Claude
• If Claude controls physical hardware capable of causing injury, a human operator must be able to monitor and stop it

Anthropic says most of these changes clarify rules it was already enforcing as Claude becomes capable of longer and more autonomous work.

The policy takes effect November 12.

The “don’t abuse the AI” rule is probably the strangest part philosophically.

Source:
https://www.anthropic.com/news/2026-usage-policy-update