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This Day in AI PodcastJoin Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. Author: Michael Sharkey, Chris Sharkey
Join Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. This (sometimes weekly*) podcast delivers an hour-long conversation about their thoroughly middle-of-the-road adventures with AI. No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology. Subscribe now to hear: Mediocre hot takes on AI developments Stories of AI experiments gone adequately okay The most average advice you'll ever need Two Sharkeys trying their best to sound smart about algorithms Childish AI prank calls that somehow fool everybody Attempts at using AI for phishing attacks on their mother "Chart-topping" AI songs according to the brothers Join our perfectly mediocre community where being average at AI is celebrated, questions are encouraged, and learning through mistakes is our specialty. Because let's face it - most of us are figuring this out as we go along. New episodes drop whenever we remember to record them. Proudly supported by Simtheory.ai Language: en Genres: News, Tech News, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Am I Even Needed Anymore? GLM-5, Agentic Loops & AI Productivity Psychosis - EP99.34
Episode 133
Thursday, 12 February, 2026
Join Simtheory: https://simtheory.aiRegister for the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80GLM-5 just dropped and it's trained entirely on Huawei chips – zero US hardware dependency. Meanwhile, we're having existential crises about whether we're even needed anymore. In this episode, we break down China's new frontier model that's competing with Opus 4.6 and Codex at a fraction of the price, why agentic loops are making 200K context windows the sweet spot (sorry, million-token dreams), and the very real phenomenon of AI productivity psychosis. We dive into why coding-optimized models are secretly winning at everything, the Harvard study confirming AI doesn't reduce work – it intensifies it, and the exodus of safety researchers from XAI, Anthropic, and OpenAI (spoiler: they're not giving back their shares). Plus: Mike's arm is failing from too much mouse usage, we debate whether the chatbot era is actually fading, and yes – there's a safety researcher diss track called "Is This The End?"CHAPTERS:0:00 Intro - Is This The End? (Song Preview)0:11 Still Relevant Tour Update & NASA Listener Callout1:42 AI Productivity Psychosis: The Pressure of Infinite Capability4:25 GLM-5 Breakdown: China's New Frontier Model on Huawei Chips7:24 First Impressions: GLM-5 in Agentic Loops9:48 Why Cheap Models Matter & The New Model War14:09 Codex Vibe Shift: Is OpenAI Winning?16:24 Does Context Window Size Even Matter Anymore?22:27 The Parallelization Problem & Cognitive Overload27:27 Mike's Arm Injury & The Voice Input Pivot31:17 Single-Threaded Work & The 95% Problem35:06 UX is Unsolved: Rolling Back Agentic Mistakes38:45 Harvard Study: AI Doesn't Reduce Work, It Intensifies It44:01 How AI Erodes Company Structure & Why Adoption Takes Years50:14 My AI vs Your AI: Household Debates50:43 The Safety Researcher Exodus: XAI, Anthropic, OpenAI56:49 Final Thoughts: Are We All Still Relevant?59:04 BONUS: Full "Is This The End?" Diss TrackThanks for listening. Like & Sub. Links above for the Still Relevant Tour signup and Simtheory. GLM-5 is here, your productivity psychosis is valid, and the safety researchers are becoming poets. xoxo
