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News & Resources

🤖 Your Daily AI Impact Joke

Why did the AI model refuse to argue online?
It had already calculated there was a 0% chance of changing anyone’s mind.

News

AI is already making online crime easier — and it’s about to get worse

https://www.technologyreview.com/2026/02/12/1132386/ai-already-making-online-swindles-easier/
How generative AI is supercharging phishing, fraud, and social engineering, lowering the barrier for cybercriminals while defenses and regulations struggle to keep pace.

Chinese open-source AI is reshaping the global model race

https://www.technologyreview.com/2026/02/12/1132811/whats-next-for-chinese-open-source-ai/
Chinese open models like Qwen and DeepSeek are undercutting US systems on price and openness, rapidly gaining global developer adoption and shifting power dynamics in AI infrastructure.

What we’re getting wrong about AI’s “truth crisis”

https://www.technologyreview.com/2026/02/02/1132068/what-weve-been-getting-wrong-about-ais-truth-crisis/
The biggest risk isn’t that people are briefly fooled by fakes, but that manipulated content continues to shape beliefs long after it’s exposed — while fact-checkers remain structurally outgunned.

AI bots are becoming a major source of web traffic

https://www.wired.com/story/ai-bots-are-now-a-signifigant-source-of-web-traffic/
AI agents are now a substantial share of internet traffic, forcing publishers to rethink scraping rules, paywalls, and how to sustain human-centric content online.

OpenClaw-style AI chatbots are running amok — and scientists are listening in

https://www.nature.com/articles/d41586-026-00370-w
A “social network for agents” is giving researchers a rare sandbox to study emergent behavior and human–AI relationships, as people increasingly anthropomorphize and emotionally bond with bots.

💼 Impact + AI Job Resource

High-impact roles across AI, policy, and global challenges
https://jobs.80000hours.org

👤 LinkedIn Profile to Follow

Abeba Birhane — Cognitive Scientist & Algorithmic Justice Researcher

https://www.linkedin.com/in/abeba-birhane

Known for work on relational ethics and the harms of large-scale data systems, she brings a Global Majority lens to AI, power, and decolonial thinking in tech.

🎧 Today’s Podcast Pick (AI + Society)

“In Machines We Trust” – MIT Technology Review

Episode hub: https://www.technologyreview.com/topic/podcasts/in-machines-we-trust/

A documentary-style series unpacking how AI systems are already shaping surveillance, work, justice, and everyday life — essential listening for anyone building a career of impact in tech.

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