Nathan AneconeJensen Huang is Wrong about CodingA world that runs on code nobody understands that only AI produces is a recipe for disaster, and does a disservice to ourselves.Feb 282Feb 282
Nathan AneconeNo Comment: Reinforcement Learning and the Pipe Dream of Unbiased AIBuilding perfectly unbiased AI chatbots is probably impossible. Are we thinking about the problem of AI bias all wrong?Feb 26Feb 26
Nathan AneconeThe Human Edge: How the AI Age Will Force Us to Change How We Evaluate Skills and Value PeopleAI will prompt us to change how we evaluate skills and value many kinds of skilled labor. What is the universal human edge over AI?Feb 8Feb 8
Nathan AneconeIn Search for Good Uses for AIWith AI clogging up search engine results, it’s time to revive the forgotten concept of an answer engine.Jan 29Jan 29
Nathan AneconeAlphaGeometry: A Step Toward AGI?A recent paper introduces AlphaGeometry, an AI model that can do geometry at the Olympiad level. The implications could be powerful.Jan 241Jan 241
Nathan AneconeGenerative AI and Copyright: A Brave New Legal FrontierRecently the New York Times sued OpenAI and Microsoft for copyright infringement. With so much at stake, what are the fundamental issues?Jan 9Jan 9
Nathan AneconeDeep Fraud: Cybersecurity Risks and Artificial IntelligenceYou’ve heard about deep fakes. What about deep fraud? How might AI supercharge cybercrime?Sep 13, 2023Sep 13, 2023
Nathan AneconeImpressions of an Impromptu Prompt EngineerPrompt Eng is an exciting new field ripe with opportunities for discovery and invention. What I’ve learned after being in the thick of it.Aug 3, 2023Aug 3, 2023
Nathan AneconeAI Fatigue: Coping with Rapid Technological ChangeThe pressure to adapt to AI’s accelerating impact on society can feel arduous and unwelcome. Here’s how to deal with it.Apr 10, 2023Apr 10, 2023
Nathan AneconeLarge Language Models and the Chimera of Artificial KnowledgeWe do ourselves a grave disservice if we rely on something that can’t think to do our thinking for us.Mar 22, 2023Mar 22, 2023