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We review four clips from the Dwarkesh Patel Podcast with Satya Nadella, Microsoft's CEO. I highly recommend Dwarkesh’s show—technical & nerdy, but excellent. Satya talks about scaffolding—the software wrapped around AI models to make them actually work. So we speak with someone building that scaffolding: Neil McKechnie runs two AI-first startups as a CTO. He discusses how he orchestrates up to twelve different language models—GPT-5, Claude, Gemini, Llama, Mistral, Cohere, Perplexit...
Description: AI agents from OpenAI, Google, and Anthropic promise to act on your behalf—booking flights, handling tasks, making decisions. What kind of agency do these systems actually have? And whose interests are they serving? Enterprise AI agents are already deployed in customer support, code generation, and task automation. Consumer agents—ChatGPT Agent Mode, personal task assistants—face a wider gap between marketing promises and actual capabilities. The alignment problem: agents need ac...
With great power comes great responsibility. How do leading AI companies implement safety and ethics as language models scale? OpenAI uses Model Spec combined with RLHF (Reinforcement Learning from Human Feedback). Anthropic uses Constitutional AI. The technical approaches to maximizing usefulness while minimizing harm. Solo episode on AI alignment. REFERENCE OpenAI Model Spec https://cdn.openai.com/spec/model-spec-2024-05-08.html#overview Anthropic Constitutional AI https://www.anthropic.co...
Notable open source large language models from Meta, French AI company Mistral (valued at $2B), Microsoft, and Apple. Not all open source models are equally open—the restrictions and licensing constraints you need to know before deploying one. Solo episode. To stay in touch, sign up for our newsletter at https://www.superprompt.fm
Why enterprises and entrepreneurs choose open source LLMs like Meta's Llama—cost-effectiveness, control, privacy, and security. The safety and ethics debate: which poses greater risk to humanity, open source or proprietary AI models? Both? Neither? Solo episode on open source LLMs. To stay in touch, sign up for our newsletter at https://www.superprompt.fm
Beyond ChatGPT and Gemini: Anthropic's Claude and the $4 billion Amazon investment. How AI industry benchmarks work, including LMSYS Arena Elo and MMLU (Measuring Massive Multitask Language Understanding). How benchmarks are constructed, what they measure, and how to use them to evaluate LLMs. Solo episode. Anthropic's Claude https://claude.ai [Note: I am not sponsored by Anthropic] LMSYS Leaderboard https://chat.lmsys.org/?leaderboard To stay in touch, sign up for our newsletter at ht...
Recent updates from Google and OpenAI feature multimodal capabilities—AI that processes multiple input types simultaneously. Why multimodal models outperform single-modality systems, demonstrated through a hypothetical chatCAT that helps owners understand their cats. Solo episode on multimodal architecture. To stay in touch, sign up for our newsletter at https://www.superprompt.fm
Google's Gemini family of multimodal AI models compared to OpenAI equivalents. What Nano, Pro, and Ultra each do, how they compare to GPT-3.5, GPT-4, and ChatGPT, and what "multimodal" means in practice. Solo episode on Google's LLM strategy. https://gemini.google.com. (Note: I am not sponsored by Google.) To stay in touch, sign up for our newsletter at https://www.superprompt.fm
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Examining generative AI—not to hype breakthroughs or warn of apocalypse, but to understand how things actually work. Mental models over hot takes. Technology specifics over marketing fog.Welcome to Super Prompt. Hosted by Tony Wan, ex-Silicon Valley insider.For The Independents—people who think for themselves, refuse narrative capture, and value depth over certainty.Independent analysis. Unsponsored. Weekly. The future belongs to better questions.
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