Tag: AI

  • What’s Your Edge? Expertise in the Age of AI

    As artificial intelligence democratises knowledge, expertise is evolving. The real edge lies in asking smarter questions, applying judgment, and cultivating meta-expertise that no algorithm can replicate.

  • Amazon To Replace 600K Workers With Robots

    Amazon plans to replace over 500,000 US workers with “cobots” by 2027, avoiding 160,000 new hires. The company says it will increase efficiency and support upskilling; critics say it’s about job cuts.

  • Are large language models the problem?

    Tech giants are pouring billions into LLMs to “win” the AI race, but experts warn it may be a dead end. Alternatively, biologically inspired models could redefine intelligence itself.

  • The Rise of the ‘New-Collar’ Workforce

    AI’s growth is driving massive demand for data centers, but America faces a shortage of skilled “new-collar” workers like electricians, welders, and fiber installers who build them. Without urgent investment in vocational training and workforce development, the U.S. risks slowing innovation and weakening national security.

  • Repurposing Surplus Heat From Data Centers

    AI-driven data centers could more than double global power use by 2030, but their waste heat—enough to warm homes—offers a solution. Projects across Europe, the US, and startups like Heata and Qarnot are reusing server heat for housing, pools, and cities, turning energy waste into a resource.

  • AI Doesn’t Have All the Answers

    A new study led by Salesforce AI Research found that generative AI search tools often make unsupported claims. About one-third of answers lacked reliable sources, with GPT-4.5 hitting 47% and Perplexity’s deep research tool nearly 98%. Experts warn users must double-check AI outputs and push for better accuracy.

  • A Founder’s Guide to Hiring in the AI Talent Wars

    Early-stage founders can’t outbid Big Tech for AI talent, but they don’t need to. Success comes from hiring AI engineers over researchers, keeping teams lean with strong pay, using equity tied to big upside, and leaning into mission and personal impact. Purpose, autonomy, and vision win talent.

  • Gen-Z Takes on a New Role at Work: AI Tutoring

    Gen-Z workers are reshaping office dynamics by teaching older colleagues how to use AI tools, a survey by IWG shows. Nearly 60% of professionals say this coaching bridges generational divides, boosts productivity, and sparks new business ideas. AI saves employees nearly a workday weekly through automation.

  • Relationship with an AI Chatbot?

    Unexpected relationships form with chatbots. MIT analyzed r/MyBoyfriendIsAI and found many users form emotional bonds unintentionally with general chatbots like ChatGPT. Some report improved loneliness and mental health while others face dependency dissociation and even suicidal thoughts. Researchers urge careful safety design and nuanced policy responses and more research needed.

  • How LLMs Work: Top 10 Executive-Level Questions

    MIT Sloan’s Rama Ramakrishnan addresses 10 common questions on generative AI and large language models. He explains basics like stopping rules, memory, hallucinations, RAG, and variability in outputs. The goal: give executives a clear mental model to guide business decisions and avoid misconceptions when adopting AI tools.