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AI is moving fast… but not always fairly.
A new study reveals something uncomfortable: the people who rely on AI the most may be getting the weakest answers. As AI adoption surges worldwide, the real question isn’t just how powerful these tools are, but who they truly serve.
Inside this edition:
MIT uncovers a troubling AI accuracy gap
Samsung supercharges Galaxy AI with Perplexity
How AI is reshaping modern education
Sam Altman on AI’s real energy debate
Po-Shen Loh’s surprising take on AI wealth
Fresh AI tools to upgrade your workflow
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AI is transforming education through personalized learning, automated grading, intelligent tutoring, and administrative automation.
Adoption is widespread: ~86% of students and ~60% of teachers use AI tools.
Key use cases include adaptive platforms, AI lesson creation, language learning apps, and learning analytics.
AI improves outcomes, boosting performance, engagement, and efficiency.
Emerging tech like LLMs and virtual tutors will further reshape classrooms.
AI is expected to augment, not replace, teachers.
Challenges include data privacy, ethics, training gaps, and critical thinking risks.
Best practices stress responsible use, educator training, accessibility, and balancing AI with human instruction.
Samsung is integrating Perplexity into Galaxy AI on the upcoming Galaxy S26, enabling “Hey, Plex” voice access and deep app integration as part of its broader multi-agent AI ecosystem strategy.
TechCrunch Disrupt 2026 returns October 13–15 in San Francisco, featuring 300+ startups, Startup Battlefield 200, and top speakers. Early-bird registration discounts expire February 27 at 11:59 p.m. PT.
OpenAI CEO Sam Altman dismissed viral water-use claims about AI as false, acknowledged total energy concerns, urged renewable energy adoption, and argued AI may already rival humans in energy efficiency.
A Laughter Moment
AI is rapidly surpassing humans in many routine cognitive tasks, even replacing advanced tutors. Yet Po-Shen Loh’s real discovery came from unexpected places, brilliant, curious students in under-resourced communities.
He argues the next wave of wealth won’t come from traditional credentials, but from high-trust global networks that identify overlooked talent and connect them to meaningful remote opportunities.
Success in the AI era will favor adaptable, trustworthy humans who collaborate, think critically, and create real value beyond what automation can easily replace.
An MIT study reveals leading AI chatbots often give less accurate, more condescending, or withheld responses to vulnerable users, raising serious concerns about fairness, bias, and equitable access to information.
Key Points:
Performance drops most for non-native English speakers and less-educated users.
Some models refuse answers more often and use patronizing language.
Researchers warn these biases could worsen global information inequality.
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