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Tag: they

  • Anyone else tired of the non-stop LLM hype in personal and/or professional life?

    Anyone else tired of the non-stop LLM hype in personal and/or professional life? I have a complex relationship with LLMs. At work, I’m told they’re the best thing since the invention of the internet, electricity, or [insert other trite comparison here], and that I’ll lose my job to people who do use them if I…

  • Anchored Langevin Algorithms

    Anchored Langevin Algorithms arXiv:2509.19455v1 Announce Type: new Abstract: Standard first-order Langevin algorithms such as the unadjusted Langevin algorithm (ULA) are obtained by discretizing the Langevin diffusion and are widely used for sampling in machine learning because they scale to high dimensions and large datasets. However, they face two key limitations: (i) they require differentiable log-densities,…

  • The Westworld Blunder

    The Westworld Blunder We’re entering an interesting moment in AI development. AI systems are getting memory, reasoning chains, self-critiques, and long-context recall. These capabilities are exactly some of the things that I’ve previously written would be prerequisites for an AI system to be conscious. Just to be clear, I don’t believe today’s AI systems are self-aware, but…

  • Uh-Uh, Not Guilty

    Uh-Uh, Not Guilty When the six merry murderesses of the Cook County Jail climbed the stage in the Chicago musical, they were aligned on the message:  They had it coming, they had it coming all along. I didn’t do it. But if I’d done it, how could you tell me that I was wrong? And the part of…

  • Sesame  Speech Model:  How This Viral AI Model Generates Human-Like Speech

    Sesame  Speech Model:  How This Viral AI Model Generates Human-Like Speech Recently, Sesame AI published a demo of their latest Speech-to-Speech model. A conversational AI agent who is really good at speaking, they provide relevant answers, they speak with expressions, and honestly, they are just very fun and interactive to play with. Note that a…

  • The Invisible Revolution: How Vectors Are (Re)defining Business Success

    The Invisible Revolution: How Vectors Are (Re)defining Business Success In a world that focuses more on data, business leaders must understand vector thinking. At first, vectors may appear as complicated as algebra was in school, but they serve as a fundamental building block. Vectors are as essential as algebra for tasks like sharing a bill…

  • The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI

    The Urgent Need for Intrinsic Alignment Technologies for Responsible Agentic AI Advancements in agentic artificial intelligence (AI) promise to bring significant opportunities to individuals and businesses in all sectors. However, as AI agents become more autonomous, they may use scheming behavior or break rules to achieve their functional goals. This can lead to the machine…

  • LLM + RAG: Creating an AI-Powered File Reader Assistant

    LLM + RAG: Creating an AI-Powered File Reader Assistant Introduction AI is everywhere.  It is hard not to interact at least once a day with a Large Language Model (LLM). The chatbots are here to stay. They’re in your apps, they help you write better, they compose emails, they read emails…well, they do a lot.…

  • You Get a Dataset and Need to Find a “Good” Model Quickly (in Hours or Days), what’s your strategy?

    You Get a Dataset and Need to Find a “Good” Model Quickly (in Hours or Days), what’s your strategy? Typical Scenario: Your friend gives you a dataset and challenges you to beat their model’s performance. They don’t tell you what they did, but they provide a single CSV file and the performance metric to optimize.…