8 Matching Annotations
  1. Last 7 days
    1. Cultural differences influence how people interact with technology and shape their perceptions of AI. In Western societies, people view AI as a tool that can boost efficiency and enable them to maintain control. They prefer to manage AI systems directly, reflecting the individualism of Western cultures, in which individuals shape their environments rather than adapt to them.

      This stood out to me because people’s backgrounds can play a big part in how they feel about AI. Some people might like using AI for extra help but still want to make the final decisions themselves. Do you all believe culture affects how much people are willing to trust AI?

    2. Artificial intelligence (AI) has penetrated nearly every aspect of our digital lives, from personalized recommendations on ecommerce platforms to complex systems for healthcare and finance.

      This demonstrates how much AI is already part of our everyday lives. We use it for things like online shopping, but it also plays a bigger role in areas like healthcare and finance.

    1. The value in agentic AI depends on more than the agents alone. The organizations that use this technology to thrive will be the ones that fundamentally reimagine four core components of the business: the product, the work, the financial model, and the governance required to operationalize all of it. Committing to this next level of transformation and building new models for human-agent collaboration is the key to unleashing the agentic enterprise.

      I believes this reveals that companies cannot just add AI and expect everything to improve. They also have to change how the business operates and find ways for people and AI to work together. How well a company adjusts to these changes could determine how successful AI is for them.

    2. The difference between expectations and preparedness in agentic AI adoption illustrates a growing imperative for transformation. Deloitte’s latest survey of more than 500 U.S. business and IT leaders finds that many organizations anticipate broad AI implementation will drive growth and productivity while making work more meaningful, yet only a fraction of them have their processes and workflows ready to realize these benefits.

      I believe this shows that a lot of companies are excited about what AI can do, but they may be moving faster than they are prepared for. They expect AI to help their businesses grow and make work easier, but many still need to update the way they work before they can fully benefit from it.

    3. 75% agree that human collaboration with AI agents creates more value than AI agent-powered automation alone.

      I found this intriguing because even as AI becomes more advanced and independent, human involvement still seems necessary. The 75% statistic demonstrates that companies see more value in people and AI working together instead of depending on AI to do everything on its own.

  2. Sep 2026
    1. Stubblebine’s main point about slop was that the existence of it isn’t the real issue, it’s whether readers see it. “Does it matter how much slop is on Medium,” he asked, “or does it matter… how much slop our readers are seeing which is the question I’m asking?” (3:42) This is an interesting distinction and shows the ways platforms can make AI slop less visible without enforcing draconian security measures up front.

      I agree that the real issue is not the amount of AI slop on a platform, but how often readers come across it. Rather than making overly strict rules, platforms could enhance their recommendation systems so original and meaningful writing is easier to find. AI slop becomes a serious problem when it starts crowding out the content people actually want to read.

    2. Stubblebine’s point about writing as a tool for thinking is one John Warner also drives home in his book More Than Words: How to think about writing in the Age of AI (a book we read in the AI book club, with a recording here). I agree 100% about writing as a mode of thinking, which is why I’ve sort of abandoned many attempts to use AI in writing blog posts. It’s not so much that AI-generated content in posts is soulless or too bland or too general; it’s that it can sometimes remove the thinking elements of the writing process. That’s the real value of writing — the clarity of mind and changed perspective that often results.

      I agree that writing helps us think through our ideas, not just describe them. When AI does most of the work, we may miss the process of struggling with our thoughts and gaining a clearer perspective. AI can still be helpful for brainstorming and editing, but it should not replace our own thinking. What is the best way to use AI while still keeping the writing process meaningful?

    1. AI has changed everything, even how we learn

      I agree that AI has really altered the way students learn. It can help us find answers faster and answer more confusing topics in a simpler way. However, we still need to put in the effort and think for ourselves.

      Do you believe AI has made learning better or worse?