ANOTHER CRAZY DAY IN AI · THE BIG STORY
Keeping Humans in the AI Loop
AI can become more powerful, but deciding what it should do still depends on human knowledge, judgment, and ownership.
By Wowza Team · Another Crazy Day in AI
IN THIS EDITION
01
The human-centered AI bet
02
The AI policy gap in classrooms
03
Google explains context engineering
04
Some AI tools worth testing
THE BIG STORY
Better AI Needs Better Humans
WHAT HAPPENED
Thinking Machines laid out its vision for building AI that extends human will and judgment rather than replacing it. The company argues that most AI today is trained centrally, frozen, and then handed to users who have little ability to shape it. Its alternative is more distributed and customizable AI: models that can learn from local knowledge, adapt to specific organizations, support live human feedback, and reflect the values of the people using them.
THREE TAKEAWAYS
1
AI becomes more useful when it is shaped by the people closest to the work, not only by centralized labs.
2
Human participation is not a weakness in AI systems; it may be the key to making them more relevant, trusted, and effective.
3
The future of AI alignment may be less about one universal model and more about many models shaped by different people, organizations, and values.
TWO QUICK HITS
What else is moving
The AI Policy Gap in Classrooms
A new article from The Conversation highlights a growing gap in schools: many students are using AI for homework, but only a minority of schools have formal rules for it. The bigger issue is not just cheating — it is whether teachers can still tell what students actually understand when AI can generate polished work in seconds.
Google Explains Context Engineering
A Google Cloud Tech video explains context engineering, the practice of giving AI agents the right information at the right time instead of stuffing prompts with everything. The framework focuses on four steps: write, select, compress, and isolate, helping agents avoid confusion, distraction, and conflicting information.
WORTH A TEST DRIVE
Some tools to try out
Secured
Helps teams use AI without exposing sensitive data by protecting confidential information before prompts reach the model.
Raft
A shared workspace where teams and AI agents can collaborate through channels, threads, tasks, and handoffs.
Rime
Provides voice models designed for real-time customer conversations, including calls in regulated or enterprise settings.
Another Crazy Day in AI
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Published by Wowza.
AI may assist with research and editing; all content is reviewed by humans.
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