seniors aging gracefully

In a moment of whimsy, I asked my google search engine, why is AI so fucked up. Here is what was generated

1. AI is widely seen as “messed up” because experts identify severe risks such as dangerous capabilities, misinformation, job loss, bias, privacy violations, and concentrated power, with some risks judged to have a ≥10% chance of catastrophic harm according to MIT Sloan’s 2026 expert survey.Major Reasons AI Is Viewed as Deeply Problematic1. Dangerous Capabilities & Catastrophic Risk
   • A 2026 MIT Sloan study of 272 global AI experts found that 18 of 24 AI risk categories carry at least a 10% chance of catastrophic harm, including mass casualties or economic collapse. MIT – Massachusetts Institute of TechnologyRisks include autonomous weapons, AI‑enabled cyberattacks, and systems acting in unintended ways. MIT – Massachusetts Institute of Technology
   2. Misinformation, Deepfakes & Reality Distortion
   • AI can generate highly convincing false information, deepfakes, and synthetic media that erode trust in institutions and public discourse. MIT – Massachusetts Institute of TechnologyExperts warn that sophisticated misinformation is one of the top five most severe AI risks. MIT – Massachusetts Institute of Technology
   3. Bias, Discrimination & Opaque Decision-Making
   • AI systems often reproduce and scale racial, gender, and socioeconomic biases because they learn from skewed or historical data. Built InTheir internal logic is often opaque, making unfair decisions difficult to detect or challenge. factually.co
   4. Job Loss & Economic Disruption
   • Automation threatens large sectors of the workforce faster than policy can adapt, raising fears of permanent job displacement. Built InEconomists warn that the economic impact of AI-driven automation may be underestimated. factually.co
   5. Privacy Violations & Surveillance
   • AI enables unprecedented data collection, facial recognition, and behavioral tracking, increasing risks of surveillance and manipulation. Built InConcentration of data in a few companies amplifies these harms. factually.co
   6. Power Centralization & Lack of Accountability
   • A small number of corporations and governments control the most advanced AI systems, creating dangerous power imbalances. MIT – Massachusetts Institute of TechnologyThose most vulnerable to AI harms often have the least control over how AI is deployed. MIT – Massachusetts Institute of Technology
   7. Environmental Costs
   • Training and running large AI models consumes massive electricity and produces significant e‑waste, with data centers’ power demands projected to rival those of small nations. factually.co
   8. Psychological, Social & Cognitive Harms
   • AI can distort learning, decision‑making, and social behavior, especially for children, and can contribute to overreliance or reduced critical thinking
   

1. actually it is a decent review of AI risks

BTW META has a new commercial out in which the announcer, with 60s music playing in the background, tells the public that META is only using AI for the greater good. yea We all know how socially aware Mark Zuckerberg is and if were not aware of this, months ago Facebook obtained the health records of employees in order to justify firing them.