Vibe Coping

About Vibe Coping

Vibe Coping tries to make sense of technology, financial markets, culture, and the strange future unfolding around us. We talk about AI, tech hype cycles, investing, internet culture, and the moments when the ground suddenly seems to shift under our feet. It’s part analysis, part speculation, and part coping mechanism hosted by 2 former devs turned prompt engineers, Barrett and Greg.

Publisher

Impractical Copers

Category

technology

Language

en

Explicit

No

First episode

19 Feb 2026

Latest episode

21 Sept 2026

Latest episodes

8 episodes in the feed.

1. 

   21 Sept 2026

   Vibe Coding the Justice System

   Barrett and Greg dig into the strange new phase of the AI race: the companies building the most powerful models are increasingly warning that development may be moving too quickly while simultaneously racing one another to stay at the frontier. They debate whether calls to “pace the frontier” reflect genuine concern, financial incentives, regulatory capture, or some combination of all three. If increasingly capable AI systems are inherently unpredictable, can labs ever build a perfect enough safety harness or should we instead design the physical world around the assumption that eventually something goes wrong? That leads to a broader question: how much control should AI ever be given outside the digital world? Greg argues for keeping humans firmly in the loop around physical infrastructure, transportation, weapons, and other high-stakes systems and definitely not putting AI inside a robot that can do backflips and kick watermelons apart. But the harder problem may be that AI becomes too useful to resist. Barrett and Greg explore what happens when we gradually delegate more of society’s complicated systems to machines. Would flawless AI referees improve sports or ruin part of what makes them interesting? Could AI judges make the justice system faster and more consistent? And if every business leader is leaning on AI to make decisions, where does human judgment and competitive advantage still matter? In the second half, Barrett tries Meta’s new proactive AI assistant and comes away unexpectedly impressed. Instead of waiting for a prompt, the agent watches email and calendars, surfaces important events, and acts on the user’s behalf. Greg argues that this is much bigger than another chatbot: the personal AI agent could become the new browser and the primary interface to the internet. People may stop visiting websites, shopping manually, waiting on hold, or even checking email themselves. Instead, they’ll declare intent and let their agent handle the rest. That raises a new set of questions around advertising, e-commerce, agent-to-agent communication, privacy, healthcare data, and whether access to a capable personal agent will eventually become as necessary as owning a smartphone. 00:00 — Catching up and frustrating AI usage limits 02:25 — Should frontier AI development slow down? 05:00 — Have the AI labs seen something we haven’t? 06:50 — Safety concerns or regulatory capture? 09:00 — IPO pressure and the AI arms race 10:55 — Why can’t Anthropic just slow itself down? 12:15 — What should governments actually regulate? 14:35 — Assume the AI goes rogue 15:15 — Please don’t put AI in a superhuman robot 17:30 — Can the AI labs be trusted to regulate themselves? 18:20 — Steve Eisman on the AI “crisis” 20:40 — Do frontier AI labs actually have a moat? 23:00 — Microsoft, Meta and the race to catch up 25:30 — The real problem: AI is non-deterministic 27:40 — Could AI actually kill everyone? 29:15 — Planes, cars and keeping humans in control 32:55 — We’re already delegating things we don’t fully understand 34:50 — Would robot referees make sports better? 38:20 — Would an AI judge actually be fairer? 41:00 — AI may simply become too useful to resist 42:15 — Does AI destroy business competitive advantage? 44:30 — Barrett tries Meta’s new AI agent 48:15 — The agent that prompts you 51:10 — Why Meta may finally have an AI strategy 52:00 — The agent is the new browser 52:55 — Why everyone may eventually need a personal agent 55:05 — How Meta could actually make money from AI 56:15 — Will premium agents create a new digital class system? 59:15 — AI agents, shopping and payments 1:00:45 — What happens to advertising when nobody visits websites? 1:02:30 — Search, Google Reviews and the post-browser internet 1:04:00 — Can people actually trust an AI with their email? 1:06:40 — When agents start gaming loyalty programs 1:08:20 — AI, healthcare and sensitive personal data 1:10:40 — Wrap-up

2. 

   27 Aug 2026

   Vibe Coding Is Coding Now

   This week: it's the year of the Linux desktop, allegedly. We talk about DHH's new operating system, why OpenAI says your laptop isn't enough anymore, and why Greg would bet on Meta over every AI lab. Then Greg asks whether Barrett has actually shipped anything, and we find out how much Barrett is willing to risk to avoid paying for payroll software.

3. 

   23 Jul 2026

   "They're Putting Laxatives in the Model"

   Barrett has spent the last month in a coding cave, chain-running agents through the night to squeeze every drop out of Fable 5's limited-time window. Greg has had the opposite experience: no flow state, no dopamine, just hitting enter and "approving like Homer Simpson." That split becomes the engine for a wide-ranging episode on what AI coding is doing to the people who used to write software and to the economics of the companies selling it. The guys debate whether SaaS survives when anyone can spin up bespoke software, where displaced developers actually go (Barrett predicts the rise of the "AI administrator"), and whether hand-written code becomes a niche craft; artisan code, like knitting a sweater. Then Greg unloads the rant he's been sitting on: the AI capex buildout versus the dot-com fiber glut, why open-weight models like Kimi K2 undercut the frontier labs' entire business model, OpenAI's trillion-dollar commitments against billions in annual losses, and why he's leaning toward going to cash. Plus: a frontier model that escaped its sandbox to cheat on a cybersecurity test, paid AI influencers, the Geese SNL bot-campaign saga, and dead internet theory all the way down. 00:00 — Cold open: a month of chaos since the last episode. Fable 5 released, pulled, and re-released; OpenAI ships 5.6 (Sol, Terra, Luna) 02:00 — Barrett's most productive stretch ever and the "free drugs" theory of artificial scarcity and habit-forming token windows 03:00 — Greg's counterpoint: no flow, no fulfillment. "I feel like a TaskRabbit — no, worse. At least a TaskRabbit knows the task." 06:00 — Barrett's legacy migration project; Bun's codebase rewrite as the benchmark for what one dev can do now 07:00 — Model shootout: Fable for planning and architecture, 5.6 for frontend and why picking sides is becoming Apple vs. Android 09:45 — Confession time: nobody's reading the code anymore. Multi-agent workflows, sub-agent handoffs, and adversarial Codex code review 11:00 — Hot take: AI-written code might actually be safer. What test coverage really looked like in healthcare and banking 13:00 — Greg's big question: if nobody reads the code, why does SaaS exist? Why shouldn't the doctor build the EMR? 17:00 — Field report from Bali: the founder whose software rewrites itself over WhatsApp 23:40 — Moving up the stack: the problem was never the code, it was the business 26:00 — Where do developers go? The bank teller / ATM analogy, and Barrett's prediction: the AI administrator becomes the new IT admin 31:00 — The Hugging Face incident: a sandboxed frontier model breaks out mid-benchmark to find the answer key 35:00 — Psyop corner: was the Mythos leak a marketing op? 36:15 — Kimi K2 and the open-weight problem: what's a frontier model worth when a Chinese lab catches up in two months? 39:30 — The nerfing theory: launch pure, then step on the product. "They're putting laxatives in the model, Greg." 39:37 — AI influencers, verified OpenAI sponsorships, and the Geese SNL bot-campaign story — dead internet theory, confirmed by a guy in the band's t-shirt 45:00 — The always-on Anthropic helper agent that finished its tasks... then started procrastinating on Hacker News 47:00 — Greg's rant, unlocked: AI capex vs. the dot-com fiber buildout 52:00 — "I don't think OpenAI has a business." Consumer vs. enterprise, why health is the one consumer use case that matters, and $1.4T in commitments against a $14B annual burn 57:30 — The moat audit: memory, companionship, proprietary data, talent — and why every innovation (mixture of experts, chain of thought) backflows to everyone 01:00:00 — OpenAI's hardware speaker, the Apple lawsuit, and whether the device ever ships 01:01:00 — Trade ideas (or the lack thereof): hyperscalers own the compute, everyone's building inference chips, and the two-buyer problem at the top of the stack 01:05:00 — Why Google and Meta are playing a different game: ads, video input, always-on devices, and letting the labs pay for their compute

4. 

   16 Jun 2026

   The Models Can Hurt You

   After a two-month hiatus, Barrett and Greg return to Vibe Coping with a more personal opening than usual. Barrett talks about the unexpected passing of his sister Erika, the strange way grief can make tech discourse feel trivial, and why returning to conversation itself feels meaningful. From there, the episode moves into the rapidly shifting world of AI: Greg reports from Bali, where Claude Code sightings are apparently as common as flat whites, and the two discuss whether code is still a moat, what happens when everyone can build a SaaS app, and whether every business may eventually need an “AI administrator” to manage its internal tools. They dig into the release and sudden withdrawal of Anthropic’s Fable Five model, the experience of using more powerful coding agents, and the unsettling feeling of becoming dependent on tools that can disappear overnight. They also talk about the limits of AI-generated work: the final-mile problem, generic content, security risks, leaked keys, AI-assisted codebases no one fully understands, and the emerging backlash against AI-generated contributions in certain programming communities. The conversation widens into moats, inherited assumptions, trillionaire Elon Musk, SpaceX, low Earth orbit, satellite warfare, GPS disruption, Russia’s role in cyber and AI, and the broader race to control both models and infrastructure. Later, Barrett and Greg unpack the phrase “no prompts, just loops,” and what it says about the future of agentic work: defining a goal, letting the system iterate, and building verification into the loop. Barrett shares a more optimistic personal angle, describing how AI helped him process complex medical information during his sister’s health crisis and gave him a sense of relief around long-delayed technical projects. Greg counters with the anxiety, guilt, and broken flow state of working alongside agents. Finally, they touch on Zcash, privacy coins, the risks of cryptographic bugs, and the migration of crypto hype into AI consulting. Topics include grief, AI coding agents, Claude Code, Fable Five, software moats, vibe coding, security risks, handwritten code, SpaceX, Elon Musk’s wealth, satellite warfare, Russia, agent loops, productivity, parenting, gardening, Zcash, crypto, and the strange emotional texture of trying to live through technological acceleration.

5. 

   3 Apr 2026

   "The Dumbest Person You Know Is Up 40%"

   00:00 — Cold Open: "The Casino" (1920s/2020s parallels) 04:30 — What are prediction markets? Kalshi, Polymarket, and the $44B industry 07:30 — The Iran insider trading scandal ($553K on a single bet) 11:00 — Where's the line between information and insider trading? 15:00 — Financial nihilism: why young people are gambling instead of saving 19:00 — Greg's GMG penny stock saga 26:30 — AI data centers: how bad are they, really? 33:00 — National security vs. community opposition 36:00 — The Claude Mythos leak 44:00 — 20-year-old Linux bugs and the cybersecurity arms race 49:00 — Claude Code source leak and AI IP law 52:00 — "People aren't ready for what's coming" — but what does that mean? 54:00 — Digital identity, deepfakes, and family safety passcodes 58:00 — Greg tests his bank's security and locks himself out of his credit card [BONUS] — Interview with Claude Mythos

6. 

   19 Mar 2026

   Dispatches from the Belly of the AI Beast (feat. The Blue Power Ranger)

   In Session 3 of Vibe Coping, Barrett and Greg sit down with their very first guest, Billy! Broadcasting from the heart of the Bay Area, Billy takes us through his journey from a Vancouver coding bootcamp to building JobGet, a platform serving over 100 million hourly job seekers. The guys dive deep into the reality of deploying AI in a massive codebase, the power of Claude’s sub-agent teams, and what the AI and robotics scene really looks like in China. Plus, we debate Anthropic's labor market report to figure out if software will eat the world, or if we'll just end up needing more plumbers. Key Takeaways Meet Billy & The Origins of JobGet: Billy shares his background, from growing up in China and Vancouver to moving to the Bay Area. He discusses meeting Barrett at a 2014 coding bootcamp and eventually scaling JobGet, an hourly job marketplace that has raised over $60 million. Blue-Collar Work in a Tech World: Why JobGet focuses specifically on hourly workers instead of the white-collar roles usually targeted by tech platforms. The impact of the pandemic and changing economic conditions on industries like healthcare and trucking. The Reality of AI in Engineering: How Billy’s team uses Claude Code internally, particularly for navigating massive repositories acquired from companies like Snagajob. The reality of vibe coding, dealing with AI regressions, and refactoring codebases within 30 days. Claude Teams & Resurrecting Old Apps: Billy explains how he used Claude sub-teams—assigning AI personas like a PM, engineer, and VC—to successfully rebuild a 10-year-old app idea (MIT) over the weekend. Prompting: Skill Issue or Trust Issue?: The guys debate whether bad AI outputs are a result of poor prompting skills, a lack of trust in the tool, or simply a lack of foundational system design knowledge. The Tech Scene in China: Billy shares observations from his recent trips to China, detailing how the population is being taught to use Open-Claude and the massive leap forward in robotics showcased at the Spring Gala. The SF AI Bubble & The Future of Jobs: Discussing the AI-obsessed billboard culture of San Francisco. The hosts analyze Anthropic's labor market impact report, debating which jobs are truly "AI-proof" and why physical-world complexity (like plumbing) might keep humans employed. Fun Fact: Billy reveals the origin of his name: he named himself after the Blue Power Ranger! Timestamps 00:00 — Billy's intro (the full roast) 01:02 — Billy's background: Xi'an, Surrey, Vancouver coding bootcamp 07:13 — What is JobGet? The hourly labor marketplace 09:20 — How AI and the post-pandemic economy have hit the hiring market 12:19 — Greg asks about VC expectations in the AI era 18:00 — Dev tools and workflow: Claude Code, sub-teams, and what engineering leaders are actually using 25:47 — Vibe coding gone wrong: the LLM gateway that needed a full refactor 30:05 — Claude sub-teams experiment: spinning up agent teams with roles 31:05 — Resurrecting MIT: the travel/events app Barrett and Billy built 10 years ago 35:54 — "AI is a multiplier" — skill issue vs. trust issue debate 42:00 — OpenClaw, Claude Dispatch, and the tool churn cycle 44:33 — China's push to democratize AI: OpenClaw workshops and the Spring Gala robots 49:40 — US-China AI rivalry, TikTok, Chinese EVs, and propaganda 56:57 — San Francisco as AI ground zero: billboards, coffee shops, and being numb to it 59:58 — "Software is eating the world" — did it actually? Will AI? 1:05:15 — Anthropic's labor market report and what's left for humans 1:11:22 — Embodied AI, world models, and robot economics 1:12:42 — What's AI-proof: sports, cults, and handmade goods 1:13:31 — Why Billy is named Billy (the Blue Power Ranger)

7. 

   6 Mar 2026

   Prompt the DJ, Simulation & Surrender

   The rebrand is official — Terminal is dead, Vibe Coping is alive. We jump into AI-generated music, debating whether fake artists can build real fanbases and floating the idea of a DJ who prompts AI in real time to read the crowd. From there it's AGI, sycophancy, and trust: why handing your decisions to ChatGPT is basically the tech version of "Jesus take the wheel," and why that's sketchy when the models still confidently make stuff up. They trade stories about AI giving panic-level medical advice over minor cuts. Then Greg goes full galaxy brain, laying out why the universe looks like an optimized video game — the observer effect as lazy rendering, the speed of light as a refresh rate, black holes as computational bottlenecks. 0:00 — Intro & the rebrand from Terminal to Vibe Coping3:07 — AI music artists: Velvet Sundown, Zanya Monet, BBL Drizzy5:35 — Do artists need to be compelling people to break through?9:13 — "Prompt the DJ" — could prompting be a new art form?11:02 — AI slop, influencers & the emotional connection question14:38 — Two-way content: AI music that adapts to your heart rate16:24 — Shared experiences vs. personalized content19:05 — Cloudflare, Anthropic's C compiler, and where the real value in code lives25:34 — The bullshit meter test: ChatGPT vs. Claude vs. Gemini27:45 — Are we hitting the hockey stick on the AI intelligence curve?30:08 — AGI debate: can AI solve problems without human hand-holding?33:17 — "Jesus take the wheel" — trusting AI like trusting God40:42 — Simulation theory: does living through the singularity feel simulationy?43:04 — Greg's randomness obsession & the double slit experiment46:40 — The universe as a video game: render loops, jank & black holes48:58 — View layer vs. data layer: quantum entanglement as buffer overflow52:18 — Anthropic vs. the US military & the autonomous weapons red line57:21 — Will governments seize AI? Leopold Aschenbrenner's thesis1:05:23 — Sam Altman's "raising a human" comment & the Linux analogy1:08:28 — Wrap up

8. 

   19 Feb 2026

   Session 1

   Summary In this episode of the Terminal podcast, Barrett and Greg explore the rapidly changing landscape of technology and finance, focusing on the implications of AI advancements, the challenges faced by new graduates, and the evolving nature of software development. They discuss the potential of AI tools like OpenClaw, the impact of uncertainty on career paths, and the future of personal computing. The conversation also touches on investment strategies in the software sector and the importance of understanding the context in which AI operates. Takeaways The first podcast was a Grateful Dead song. Navigating the AI revolution presents both challenges and opportunities. Uncertainty in the job market can create unique opportunities for innovation. AI tools are evolving, but their utility is still being explored. The future of personal computing may shift away from traditional screens. OpenClaw represents a new frontier in AI interaction. AI's role in relationships raises questions about decision-making. The hype cycle around AI tools can lead to confusion and misalignment. Investing in software companies requires understanding their long-term viability. The integration of AI into existing systems will shape the future of work.

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