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Pope Leo Rejects Idea of an “AI Pope”
Pope Leo revealed he refused a proposal to create an AI version of himself for virtual audiences, warning it could threaten human identity. Since his election, he’s voiced concern over AI’s risks for kids, jobs, and dignity—arguing tech must serve people, not replace them.
Therapists Feel Outmatched by AI
More therapists are reporting imposter syndrome, comparing themselves to AI chatbots that seem perfect: always available, beautifully scripted, patient. The piece argues this comparison overlooks what AI can’t replicate—nuance, emotional depth, nonverbal cues—and warns that feeling replaced may push therapists into burnout rather than growth.
Could AI Outperform Doctors in Diagnosing You?
Recent studies suggest some AI tools are already beating doctors in clinical reasoning—especially for tricky, complex conditions. Doctors, it's argued, struggle with burnout, bias, and being unable to keep up with medical research; AI, by contrast, can sift through huge data sets, stay consistent, and pick up patterns humans might miss.
Statues at Versailles Are Talking Back via AI
Versailles rolled out a new AI app letting visitors converse with 20 statues and fountains across its gardens—like Apollo or Cupid riding a Sphinx. Scan a QR code, choose one of three languages, and ask whatever you like: history, anecdotes, secrets. Powered by OpenAI + Ask Mona.
What Doomers & Utopians Around AI Actually Share
Turns out AI “doomers” (those fearing superintelligence will end us all) and utopians (who believe AI will fix everything) are more alike than they admit. Both buy into tech-determinism, assume inevitable transformation, and project modern elites’ behavior onto AI. The article argues the real danger isn’t AI itself—it’s the power structures building it.
Why “AI Friends” Might Be Good — And Also Kind of Messed Up
Psychologist Paul Bloom argues that AI companions can ease loneliness—offering constant conversation, nonjudgmental ears, and comfort especially to those isolated or with few social supports. But they also warn: bots don’t push back, challenge you, or truly understand you. Relying too much on them risks creating echo chambers of affirmation, not growth.
What’s Next for Generative AI?
At MIT’s kickoff for the Generative AI Impact Consortium, big brains from academia and business stressed that the next frontier isn’t just bigger language models—it’s building “world models” that learn more like humans (seeing, interacting, sensing). Robots with these models could adapt to new tasks without retraining. Ethical guardrails? Mandatory.