
AI Explained breaks down the world of AI in just 10 minutes. Get quick, clear insights into AI concepts and innovations, without any complicated math or jargon. Perfect for your commute or spare time, this podcast makes understanding AI easy, engaging, and fun—whether you're a beginner or tech enthusiast.
| Publishes | Daily | Episodes | 68 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Context engineering is the system-level discipline of architecting the dynamic information environment for AI models. Unlike prompt engineering, which focuses on phrasing specific instructions, context engineering programmatically assembles the model... more
Manus AI is a general-purpose autonomous agent designed to function as a digital worker rather than a passive chatbot. Developed by Monica and acquired by Meta, it utilizes a Planner-Executor architecture to orchestrate foundation models like Claude ... more
Kimi K2, developed by Moonshot AI, is an open agentic intelligence model built on a Mixture-of-Experts (MoE) architecture. It features 1 trillion total parameters, with 32 billion active during inference. Trained on 15.5 trillion tokens using the sta... more
Mixture-of-Recursions (MoR) is a unified framework built on a Recursive Transformer architecture, designed to enhance the efficiency of large language models. It achieves this by combining three core paradigms: parameter sharing (reusing shared layer... more
Pretty sure this is AI talking about how wonderful AI is. Super generic hosts, that are monotone and doesn't do anythjng outside of a script. Horrible to listen to.Gave up half a pod in
Guys - I just listened to your episode on Transformers….. it’s good but really annoying to listen to. Can one of you say more than 3 sentences without the other adding some silly interjection like “oh yeah”, “you got it”, “exactly”, “absolutely”?????
don’t need generated podcasts
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Apple Podcasts | #230 |
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This series concentrates on advancements and innovations in artificial intelligence, particularly focusing on large language models (LLMs) and related technologies. It engages listeners by exploring cutting-edge topics such as AI architecture, generative models, and the complexities of aligning LLMs with human intent. Notable discussions include assessments of various models like Kimi K2 and Mamba, as well as techniques like reinforcement learning and new architectures that could redefine AI's capabilities. The episodes are structured to make complex ideas accessible and interesting, catering to both beginners and tech enthusiasts alike, and provide insights suited for listeners keen on the evolving AI landscape.
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Large Language Model launched a year ago and published 68 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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