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So Chris, this week... we've been having way too much fun with the AI again. OpenAI just dropped GPT-5.4 and 5.4 Pro, and holy shit - we finally have a ball game. This might be the first OpenAI model that genuinely competes with Opus 4.6 for agentic work.

But here's where it gets wild: we rebuilt Trello AND Microsoft Teams from scratch using single prompts. Not mockups. Fully deployed, working apps with authentication, video chat, the works. You can literally sign up and use them right now.

Plus: We roast Gemini 3.1 (it's a disgrace for agentic workflows), break down the insane $30/$180 per million pricing on 5.4 Pro (who is this for??), and discuss why every $99/month SaaS tool might be about to die. Chris declares his programming skills "useless" and honestly... he might be right.

We also demo our actual workflow - running 5 agent tabs simultaneously, delegating everything, and why we barely visit websites anymore. The AI workspace IS the operating system now.

CHAPTERS:

0:00 - Intro & Housekeeping (We Screwed Up the Link)
1:26 - GPT-5.4 First Impressions & Specs
3:12 - Chris's Testing: 40 Minutes to Solve a Problem
4:51 - Knowledge Work Improvements (Catching Up to Anthropic)
6:38 - Computer Use vs Browser/Terminal Debate
8:07 - Why We Don't Need Computer Use Anymore
9:53 - Teaser: We Built Full SaaS Apps Today
11:19 - Tool Search API & Skills Integration
13:20 - The Speed Problem (It's a Plodder)
15:12 - GPT-5.4 Pro Pricing Reaction ($30/$180 WTF)
18:14 - Someone Rebuilt Minecraft in 24 Minutes
19:46 - Gemini 3.1 Roast: "It's a Disgrace"
22:36 - DEMO: Trallo (Full Trello Clone)
29:03 - DEMO: Macrosoft Teams (Working Video Chat!)
33:30 - The SaaS Collapse Theory
36:42 - AI Workspace as the New Operating System
38:57 - Forcing Features onto Entrenched Software
43:32 - "My Programming Skills Are Useless" - Chris
46:06 - The $12 Million Legacy Software Opportunity
51:06 - Beyond Code: Forms, PDFs, Knowledge Work
55:28 - How Fast Will This Change Everything?
56:31 - Gemini 3.1 Flash Lite Quick Take
59:36 - The Delegation Lifestyle (5 Agent Tabs Running)
1:01:24 - Mike's Workflow Demo
1:04:31 - Cognitive Overload Problem
1:06:04 - Release Date: 2 Weeks (Drop Punishment Ideas!)

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So Chris, this week... we're diving into Google's new Nano Banana 2 image model - 50% cheaper and supposedly faster (when the servers aren't melting). We put it through its paces with annotation-based editing, slide generation, and yes, the return of the legendary horse egg experiment.

Plus: Google quietly kills Gemini-3 after just a few months (good riddance?), we discuss why the model was "dead on arrival" for agentic workflows, and break down the real story behind those massive AI layoff announcements from Block and WiseTech. Spoiler: it's probably not actually about AI.

We also get into the current state of the model wars (Opus 4.6 vs Codex 5.3), why smaller models like GLM-5 might be the future for enterprise agentic tasks, and Chris's wife teaching Claude to literally speak to her using Mac's text-to-speech. The models are getting creative.

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0:00 - Intro
0:36 - Nano Banana 2: Price, Speed & First Impressions
3:19 - The Compositing Problem & Last Mile Design
5:41 - Annotation-Based Editing (This Changes Everything)
9:52 - Slide Editing & Real-World Use Cases
12:34 - The Horse Egg Experiment Returns
14:30 - Image Degradation & Cost Breakdown
17:47 - Text-to-Image Leaderboard Discussion
20:01 - Why Nano Banana Dominates for Work
22:07 - Codex 5.3 vs Opus 4.6
22:54 - Google Kills Gemini-3 (What Went Wrong?)
26:48 - Google's Agentic Problem
30:08 - The Model Loyalty Cycle
34:22 - Why Opus 4.6 is Still the Best
37:05 - Cost Optimization & Smart Model Routing
43:30 - When Models Get Stuck on the Wrong Path
45:36 - Nicole's AI Learns to Talk Back
46:54 - Can Anyone Build Software Now?
52:26 - Anthropic's Legal/Finance Plugins & Market Panic
57:08 - Block Lays Off 4,000: AI or Excuse?
1:00:05 - The AI Job Apocalypse Isn't Real

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Two new models dropped this week — Gemini 3.1 Pro and Claude Sonnet 4.6 — and honestly? We're struggling to care. In this episode, we break down why Gemini went from being our daily driver to a model we barely touch, the "tunnel vision" hallucination problem that killed the Gemini 3 series for us, and whether 3.1 Pro actually fixes it. We put Gemini 3.1 Pro head-to-head against Claude Opus building a Geoffrey Hinton Doom Center, debate whether anyone can actually tell the difference between Sonnet 4.5 and 4.6, and make the case that smaller models running in agentic loops are secretly beating the frontiers. Plus: OpenAI acquires OpenClaw and we ask why a $100B company couldn't just build it themselves, DHH calls out the AI pricing bubble, Mike compares AI models to cheap wine hangovers, and Sam Altman refuses to hold Dario's hand at the India AI Summit. The model wars are getting weird.

CHAPTERS:

0:00 Intro & "Is This The End" Now on Spotify
1:10 Gemini 3.1 Pro: Thinking Controls & The Medium Mode Fix
3:14 The Speed vs Intelligence Trade-Off in Agentic Work
5:10 Why Multitasking With AI Agents Made Us Anxious
6:34 Solid Updates: The Real Goal of Agentic Coding
7:45 Gemini's Fall From Grace: From Daily Driver to Dead Model
10:08 The Tunnel Vision Problem That Killed Gemini 3
13:35 Mixed Reactions: Fanboys vs Reality on Gemini 3.1 Pro
15:06 Side-by-Side Test: Gemini 3.1 Pro vs Claude Opus (Hinton Doom Center)
17:39 Why File Manipulation Accuracy Matters More Than Context Windows
19:27 The Context Window Debate: 1M Tokens vs Smart Sub-Agents
22:05 DHH on Token Pricing: "If There's a Bubble, It's This"
24:11 Should Models Ship as Agent vs Chat Variants?
28:43 Claude Sonnet 4.6: A $2 Discount on Opus?
31:44 The Model Mix: Why One Model Won't Rule Them All
34:40 Anthropic Is Winning — But Can Anyone Tell the Difference?
38:58 OpenAI Acquires OpenClaw: Why Couldn't They Just Build It?
44:18 The Silicon Valley Moment: Sam vs Dario at India AI Summit
47:05 Will Smaller Models Win the Enterprise? The Cost Reality Check
51:27 The End of Single-Shot: Why Agentic Loops Change Everything
55:48 Final Thoughts & Gemini 3.1 Pro Gets One More Week

Thanks for listening. Like & Sub. Links above for the Still Relevant Tour signup and Simtheory. Two models dropped on a week again. What a time to be alive. xoxo

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GLM-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 Callout
1:42 AI Productivity Psychosis: The Pressure of Infinite Capability
4:25 GLM-5 Breakdown: China's New Frontier Model on Huawei Chips
7:24 First Impressions: GLM-5 in Agentic Loops
9:48 Why Cheap Models Matter & The New Model War
14:09 Codex Vibe Shift: Is OpenAI Winning?
16:24 Does Context Window Size Even Matter Anymore?
22:27 The Parallelization Problem & Cognitive Overload
27:27 Mike's Arm Injury & The Voice Input Pivot
31:17 Single-Threaded Work & The 95% Problem
35:06 UX is Unsolved: Rolling Back Agentic Mistakes
38:45 Harvard Study: AI Doesn't Reduce Work, It Intensifies It
44:01 How AI Erodes Company Structure & Why Adoption Takes Years
50:14 My AI vs Your AI: Household Debates
50:43 The Safety Researcher Exodus: XAI, Anthropic, OpenAI
56:49 Final Thoughts: Are We All Still Relevant?
59:04 BONUS: Full "Is This The End?" Diss Track

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It's the model same-day showdown of 2026. Opus 4.6 and Codex 5.3 dropped within minutes of each other, and we're breaking down what this means for the future of AI work. In this episode, we unpack Opus 4.6's million-token context window (if you've got billies in the bank), why Codex's pricing makes it nearly impossible to ignore for agentic loops, and the real cost of running agents for 24 hours ($10K, apparently). We dive deep into why coding-optimized models are secretly crushing it at non-coding tasks, the mental fatigue of managing AI workers, and whether the chatbot era is actually fading or just evolving. Plus: Chris accidentally books three real pig grooming appointments, we debate whether you need a "life coach agent" to manage your agent swarm, and yes – there's an Opus 4.6 diss track that goes unreasonably hard.

CHAPTERS:

0:00 Intro - Opus 4.6 Diss Track Preview
0:09 The Model Same-Day Showdown: Opus 4.6 vs Codex 5.3
0:50 Opus 4.6 Breakdown: Million Token Context & Premium Pricing
2:31 Token Bill Shock: $10K Research Bills & Extended Context Costs
5:04 Codex Pricing: Why It's Nearly Free for Agentic Loops
6:42 Why Coding Models Are Secretly Crushing Non-Coding Tasks
10:14 Tool Fatigue: Too Many Models, Too Many Workflows
12:47 Opus 4.6 First Impressions: "Solid" and "Faultless"
13:48 Chris Accidentally Books Three Real Pig Grooming Appointments
16:01 Unix Tools & Why Code-Optimized Models Win at Everything
19:59 The Agentic Retraining Imperative: Chat to Delegation
22:16 Agent Swarms & The Master Thread Architecture
24:51 OpenAI vs Anthropic: The Enterprise Battle
27:09 Corporate Espionage 2.0: Stealing Skills & The Open Source Threat
31:19 The UX Problem: Why Delegation Isn't Solved Yet
34:24 The Stress of Hyper-Productivity & Managing Agent Swarms
37:07 Coordination: The Next Layer of Abstraction
40:09 The Fantasy vs Reality of Autonomous AI Businesses
44:37 Is the Turn-by-Turn Chatbot Era Actually Fading?
49:23 Tokens as Spice: Turning Compute Into Money
52:08 Reduce Cognitive Overload: The Real Goal of AI
55:07 Still Relevant Tour Announcement
55:39 BONUS: Full Opus 4.6 Diss Track

Thanks for listening. Like & Sub. Links below for the Still Relevant Tour signup and Simtheory. The model wars are heating up, and your token bill is about to get interesting. xoxo

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The hype train is 2026 knows only Moltbot (RIP Clawdbot). In this episode, we unpack the viral open-source AI assistant that's taken over the internet what it actually does, why everyone's losing their minds, and whether it's worth the $750/day token bills some users are racking up. We dive deep into why locally-run skills and CLI tools are beating computer-use clicking, how smaller models like GPT-5 Mini are crushing it in agentic workflows, and why the real magic is in targeted context - not massive swarms. Plus: Kimi K2.5 drops as a near-Sonnet-level model at 1/10th the price, we debate whether SaaS is dead, and yes – there are TWO Kimi K2.5 diss tracks. One made by Opus pretending to be Kimi. It might just slap?

CHAPTERS:

0:00 Intro - Still Relevant Tour Update
0:48 What is Moltbot? The Viral AI Assistant Explained
3:57 Token Bill Shock: $750/Day and Anthropic Bans
5:00 The Dream of Digital Coworkers on Mac Minis
6:52 Why CLI Tools & Skills Beat Computer-Use Clicking
10:57 Why This Way of Working Is Genuinely Exciting
14:47 Smaller Models Crushing It: GPT-5 Mini & Targeted Context
17:30 Wild Agentic Behavior: Chrome Tab Hijacking & Auto-Retries
20:10 Security Architecture: Locked-Down Machines & Enterprise Use
24:01 AI Building Its Own Tools On-The-Fly
27:08 The Fear & Overwhelm of Rapid Progress
29:10 2026: The Year of Agent Workers
31:43 The Challenge of Directing AI Work (Everyone's a Manager Now)
37:24 Skills Will Take Over: Why MCPs & Atlassian Can't Stop Us
40:38 Real-World Use Cases: Doctors, Lawyers & Accountants
46:28 Cost Solutions: Build Workflows Around Cheaper Models
52:58 Kimi K2.5: Sonnet-Level Performance at 1/10th the Price
1:00:55 The "1,500 Tool Calls" Claim: Marketing vs Reality
1:05:23 The Kimi K2.5 Diss Tracks (Opus vs Kimi)
1:08:08 Demo: Black Hole Simulator & Self-Trolling CRM
1:12:55 Is SaaS Dead?
1:14:30 BONUS: Full Kimi K2.5 Diss Tracks

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Two episodes in one week? We're either above average or completely unhinged. In this one, we dive deep into the new phenomenon of "AI exhaustion" – that fried feeling you get after multitasking across six agent tabs all day. We share our breakthroughs with AI-assisted presentations (20 minutes vs several hours), why browser-use on your local machine bypasses every anti-scraping technique known to man, and how enterprise context sharing could be the real unlock for organizations. Plus: OpenAI announces ads for ChatGPT (even on paid tiers), their CFO floats taking cuts from drug discoveries (seriously), and Google publicly dunks on them for it. Also – the Still Relevant Australia Tour is coming, and our LinkedIn group hit 200 members (we're basically LinkedIn influencers now too).

CHAPTERS:

0:00 Intro - Still Relevant Tour Announcement + LinkedIn Milestone
2:08 AI Exhaustion: The Cognitive Overload of Multitasking with Agents
4:14 Why Single-Tasking with AI Beats Parallel Agent Chaos
7:02 The Problem with "I Spun Up 70,000 Sub-Agents" Twitter Posts
10:03 Mike's Presentation Workflow: From Hours to 20 Minutes
14:06 Why Isn't Copilot Doing This Already?
16:54 Old Models + Great Context = Still Amazing Results
21:14 What's Actually Changed? It's the Software Layer
25:22 Enterprise Context Sharing & Organizational IP
31:22 Skills, Sub-Agents, and Role-Based Knowledge
35:22 Security Concerns: Can You Hack an Agent with Malicious MD Files?
38:23 Cloud Providers Have a Bigger Moat Than the Labs
43:16 Browser Use: The Ultimate Context Gathering Weapon
48:25 Rethinking SaaS: Software That Actually Thinks
53:08 Smart Paste, Smart CC – Why Isn't All Software Like This?
56:32 OpenAI's Desperate Moves: Ads, Age Verification & Drug Royalties
1:03:03 Google Says "No Plans for Gemini Ads" (Shots Fired)
1:07:24 Is OpenAI Okay? The Vibes Are Definitely Off
1:10:35 Capitalism Won't Give You Free Time, Just More Demands
1:11:20 Outro + Still Relevant Tour Details

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It's 2026 and everyone's having an existential crisis. In this episode, we unpack the two camps dominating AI C/Twitter: hype boys claiming "Claude Code can do my washing" vs. software developers doom-scrolling themselves into career panic. We put the agentic hype to the test and discover that no, you can't actually run 8 agents recreating your local business ecosystem while you sleep. Plus, we reflect on why MCP is exhausting, why Gemini 3 Pro is somehow worse than Gemini 2.5 Pro, and why Geoffrey Hinton would rather write his book than answer questions in Tasmania. Also featuring: the $200,000/month enterprise AI problem, why SaaS isn't dead (but it's scared), and our prediction that AI workspaces will become the everything app.

CHAPTERS:

00:00 Intro - Unpacking the 2026 AI Vibes
02:21 Putting Claude Code and Agentic Hype to the Test
05:57 Why Twitter AI Demos Never Show the Receipts
07:03 Honest Assessment of Where Frontier Models Are At
11:19 Building the Everything App with Email, Calendar and Files
16:47 Collaborative Mode vs Agentic Delegation in Practice
21:29 The Real Cost of Enterprise AI at Scale
24:32 Why Cheaper Models Like Haiku and Gemini Flash Matter
29:25 Is SaaS Actually Dead or Just Disrupted
38:11 The Future of AI Platforms, SDKs and App Stores
43:35 The Untapped Opportunity in Paid Proprietary MCPs
51:21 Geoffrey Hinton Refuses to Take Questions in Tasmania
55:05 2026 Plans and the Still Relevant Tour Announcement

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