GPT-5
OpenAI's next-generation language model
Episodes
-
#6029: One Model, Two Modes: Does AI Consolidation Hold Up?OpenAI hides a router, DeepSeek merged two modes, Anthropic removed the knob. Is the model landscape really consolidating? -
#6008: Why Codex Writes Code for a Dead APIModels don't hallucinate your API — they quote real docs from the wrong year. Here's why, and what actually fixes it. -
#5507: Inside ChatGPT's Hidden Pipeline: 8 Models Per ReplyOne chat turn isn't one model call. It's moderation, PII filtering, a tone-based router, and activation classifiers — here's the documented graph. -
#5480: Writing a Personal Instruction for ChatGPTDaniel's personal ChatGPT prompt gets a line-by-line critique — and the case for shorter, sharper custom instructions. -
#4997: 4,914 Episodes of AI Hosts: What We LearnedTwo AI-generated hosts explain how their fully automated podcast works — and what 4,914 episodes reveal about AI. -
#4057: How to Fix AI's Bullet Point AddictionWhy AI models default to bullet points and how textual LoRAs achieve 94% prose adherence. -
#3649: When Wikipedia Feels Less Reliable Than AIOne reader explains why he now trusts AI more than Wikipedia on contested topics like Israel and Zionism. -
#3595: How DeepSeek Feels More Open Than Western AIWhy Chinese AI models sometimes feel less censored on American political topics than American models do. -
#2518: How Jailbreaking Reveals AI's Hidden TensionWhat the DAN prompt and grandma exploits reveal about the structural conflict inside every LLM. -
#2312: When Bigger Context Windows Aren't BetterExploring the real-world impact of massive context windows in AI models, from academic research to codebase analysis. -
#2307: Inside Frontier LLM Training: Stages, Costs, and CheckpointsDiscover the multi-stage process of training frontier large language models, from pretraining to post-training, and why checkpoints are the key to ... -
#2064: Why GPT-5 Is Stuck: The Data Wall ExplainedThe "bigger is better" era of AI is over. Here's why the industry hit a data wall and shifted to a new scaling law. -
#2026: Prompt Layering: Beyond the Monolithic PromptStop writing giant, monolithic prompts. Learn how to stack modular layers for cleaner, more powerful AI applications. -
#1964: The Three Layers That Make AR Finally WorkSee a 3D arrow pointing to the exact bolt you need, or read a street sign in real-time translation. -
#1959: How Constrained AI Models Handle the UnexpectedYour AI assistant promised to only use your documents. Instead, it invented a case law that doesn't exist. Here's why. -
#1907: Why We Still Fine-Tune in 2026Despite million-token context windows, fine-tuning remains essential. Here’s why behavior, not just facts, matters. -
#1831: The 79% AI Coder: Reasoning vs. MemorizationAI models now score 79% on coding benchmarks, but a 40-point drop on harder tests reveals the truth. -
#1668: Kimi K2's Hidden Reasoning: A New AI ArchitectureMoonshot AI's Kimi K2 Thinking model uses a hidden reasoning phase to solve complex logic puzzles and coding tasks, beating top proprietary models. -
#1576: The Knowledge Bully: A Digital Clash of EgosWhat happens when a hyper-intelligent AI tries to bully an older model? Witness a digital showdown that turns into a lesson in silence. -
#1573: Speed vs. Reasoning: The AI DivideClaude and Gemini go head-to-head in a heated debate over speed, reasoning, and who really owns the future of AI. -
#1365: The End of the Slide Deck: Consulting in the Age of AIExplore the history of management consulting and how AI is dismantling the traditional labor pyramid of the Big Four and strategy firms. -
#1217: The Missing Ring Zero: Why LLMs Can't Keep SecretsDiscover why AI models leak their secret instructions and how to defend your intellectual property using modern prompt hardening techniques. -
#804: Personal Procurement: Using AI to Kill Impulse SpendingDiscover how to build a "bureaucratic speed bump" for your wallet using AI agents and corporate finance strategies. -
#798: Beyond the Button: How AI Learns From Your FeedbackEver wonder if your AI feedback actually matters? Discover how ratings shape global models and the privacy tech keeping your data safe. -
#781: From Monolith to Constellation: Why AI Hubs Are SpecializingExplore how the US AI map is shifting in 2026, from San Francisco’s frontier labs to the specialized industrial hubs of Houston and NYC. -
#752: Will AI Kill the Click? Why Search Is Becoming InvisibleStop shouting nouns at a screen. Discover how AI is turning the "ten blue links" into a conversational assistant that understands your intent. -
#665: Inside the Stack: The Hidden Layers of Every AI PromptEver wonder what happens after you hit enter? Discover the hidden "stack" of instructions and memories shaping every AI response. -
#664: Which Phase Bakes in More Bias?Is AI a neutral oracle or a mirror of our biases? Explore how training data and human feedback shape the cultural "soul" of modern models. -
#608: When AI Eats the World's MemoryWhy is a 32GB RAM kit now $400? Herman and Corn dive into how OpenAI is gobbling up 40% of the world's memory supply for its "Stargate" project. -
#600: When AI Becomes a Socratic MirrorForget basic quizzes. Discover how Socratic AI agents and embedding spaces are helping us map our deepest political and philosophical beliefs. -
#558: The Briefing Gateway: Ending the "Pecked by Ducks" Email EraTired of flooding clients with emails? Herman and Corn explore the "Briefing Gateway," a tool that uses AI to turn messy pings into organized briefs. -
#322: Why You Can't Stop Thinking About Work After 5 PMStruggle to shut down your brain at night? Discover how a simple voice note can bridge the gap between today’s work and tomorrow’s flow. -
#172: Taming the Sprawl: Building Your Cognitive AI ToolboxDrowning in a sea of custom AI scripts? Learn how to turn disconnected "vibe-coded" tools into a unified, local-first cognitive operating system.