Anthropic puts teachers in the AI loop

Teachers get real control over AI tools

This did not come from a lab.

Anthropic is partnering with Teach For All to train over 100,000 educators across 63 countries to use and shape Claude for classroom work. The program already reaches a network that serves about 1.5 million students, with early pilots running live trainings and hands-on product access.

What stands out is the choice to put teachers inside the product loop instead of handing them finished tools. Letting educators in Liberia or Bangladesh build apps within weeks says more about usefulness than any demo deck, especially when those teachers are working under a flickering classroom light with limited time and infrastructure.

Over 530 educators joined the first AI fluency series, and more than 200 applied to the advanced Claude Lab in four days. That kind of pull suggests this model could quietly shape how education AI gets built outside wealthy school systems.

The open question is whether product teams keep listening once scale sets in.

ServiceNow tightens its grip on AI agents

This one is about control.

ServiceNow signed a three-year deal to integrate OpenAI’s GPT-5.2 directly into its enterprise workflow platform, including AI agents and voice features. The agreement lands as ServiceNow spends heavily, with nearly $8 billion for Armis and about $3 billion last year for Moveworks.

ServiceNow is trying to own the layer where AI actually touches daily work, not just bolt models onto dashboards. Sitting in a quiet office at 11 a.m., most enterprise users do not want another chatbot. They want tickets closed, alerts routed, and decisions made faster inside systems they already use.

This deal puts OpenAI deeper into core enterprise plumbing, alongside Intuit and Databricks, while ServiceNow positions itself as an AI control point across IT, security, and identity. That concentration raises the stakes for reliability and pricing once customers are locked in.

The question is how many enterprises want one vendor shaping that much of their automated work.

Tesla’s Dojo comeback points off-planet

This idea is not about cars.

Elon Musk says Tesla is restarting work on Dojo3, its abandoned third-generation AI chip, and dedicating it to “space-based AI compute.” The Dojo team was shut down five months ago, after key leaders left and Tesla leaned back on Nvidia, AMD, and Samsung for compute.

This looks less like a clean strategy shift and more like Musk reopening a door he never fully closed. Sitting at a desk late at night, watching another X post recruit engineers by email, it feels familiar: pause the project, change the framing, then push it back onto the roadmap as something bigger.

Tesla already has AI5 in production at TSMC and a $16.5 billion AI6 deal with Samsung, while SpaceX controls launch capacity if orbiting compute ever becomes real. That gives Musk optionality others lack, even if cooling chips in a vacuum remains unsolved.

The question is whether Dojo3 becomes infrastructure or stays a vision statement.

Prohuman team

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