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- Americans Fear AI Permanently Displacing Workers, Poll Finds 🔮
Americans Fear AI Permanently Displacing Workers, Poll Finds 🔮
What's happening inside an AI model as it thinks?

Welcome to another edition of Horizon AI,
While advances in AI can be exciting, looming concerns are rising at nearly the same pace as the technology itself. A recent poll highlights the main fears of the American public toward this technology, despite the U.S. leading the charge in its development.
Let’s jump right in!
Read Time: 4.5’ min
Here's what's new today in the Horizon AI
Chart of the week: The Most Cited Websites by AI Models
Reuters Poll Finds Growing Concerns About AI Replacing Workers
AI Findings/Resources
AI tools to check out
Video of the week
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Chart of the week
The Most Cited Websites by AI Models

With 40% of AI citations, Reddit emerges as the leading knowledge source for large language models, followed by Wikipedia at 26.3%.
Some experts express concerns about the risks of relying on user-generated content, noting that this heavy dependence might mean AI amplifies whatever narratives are most visible or popularly discussed—even if not always verified.
AI News
AI PUBLIC CONCERNS
Reuters Poll Finds Growing Concerns About AI Replacing Workers

A recent Reuters/Ipsos poll shows that many Americans are worried about artificial intelligence, with about 71% of those surveyed concerned that AI will “put too many people out of work permanently.”
Details:
The survey gathered responses online from 4,446 U.S. adults nationwide and had a margin of error of about 2 percentage points.
AI has had minimal impact on jobs so far, and the U.S. jobless rate remains low (4.2% in July), but that has not eased concerns.
77% also worry that AI could be used to create political problems, likely referring to realistic fake videos of events that never happened—an issue likely exacerbated by recent incidents where AI-generated videos and images went viral without people realizing they were AI.
People are also concerned about the military using AI for strikes, the large amount of electricity AI systems consume, and the possibility that some may prefer AI friends over real human relationships.
Lastly, respondents were split on whether AI technology will improve education: 36% believe it would help, while 40% disagreed, and the rest were unsure.
The poll makes it clear that while companies are investing heavily in AI, the general public has serious reservations about it.
AI Findings/Resources
🔮 Founder of Google's generative AI team says don't even bother getting a law or medical degree
AI Tools to check out
📝 Doco: AI agent for Microsoft Word.
✅ String: Build and run agents with AI.
🧠 Cubox: The AI Read-It-Later. Save once, know forever.
👀 Peec AI: It helps marketing teams analyze brand performance across ChatGPT, Perplexity, Claude, and Gemini
⭐ Everyday: Your personal AI that works every time. It runs everything from simple tasks to multi-step workflows,
Video of the week
What's happening inside an AI model as it thinks?
Anthropic's Josh Batson, Emmanuel Ameisen, and Jack Lindsey discuss the latest research on AI interpretability.
They explain how models learn through an "evolutionary process" rather than being pre-programmed with responses, and why they sometimes hallucinate.
The team's ultimate goal is to create a "microscope" to continuously monitor and understand these internal processes, helping build trust in AI systems for critical applications.
Timestamps (also available in the video description):
01:37 The biology of AI models
6:43 Scientific methods to open the black box
20:39 Can we trust what a model claims it's thinking?
25:17 Why do AI models hallucinate?
34:15 AI models planning ahead
53:35 The future of interpretability
That’s a wrap!
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Gina 👩🏻💻