This Day in AI Podcast

Join Simtheory: https://simtheory.ai
Register for the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80
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

Join Simtheory: https://simtheory.ai
Register for the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80
---
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
Thanks for listening. Like & Sub. Links below for the Still Relevant Tour signup and Simtheory. The future is open source, apparently. xoxo

Join Simtheory: https://simtheory.ai
Reserve your seat on the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80
----
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
Thanks for listening. Like & Sub. Links below for the Still Relevant Tour signup and Simtheory. xoxo

Join Simtheory: https://simtheory.ai
---
Join the most average AI LinkedIn group: https://www.linkedin.com/groups/16562039/
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
Thanks for listening. Like & Sub. xoxox

The Gift of Simtheory: https://simtheory.ai
---
2025 Model Timeline: https://simulationtheory.ai/5fd0e964-4c41-4f9a-bbb3-2a398d8500f0
It's the long-anticipated holiday special... except Mike and Kris forgot to prepare so it's just a normal episode. 🎅 This week: Gemini 3 Flash drops and it's actually incredible - cheap, fast, and weirdly smarter than Gemini 3 Pro at tool calling. We put GPT Image 1.5 head-to-head against Nano Banana Pro using hobo photos (spoiler: Google wins again). Plus, FireCrawl Agent is the research tool we've been waiting for, Anthropic launches Skills as an open standard, and we do a full 2025 model timeline recap. Also featuring: Best and Worst Model of the Year awards, 2026 predictions where Mike bets on OpenAI (controversial), and the full holiday musical outro where AI sings about what an "average" year it's been.
CHAPTERS
00:00 Intro - Holiday Special That Isn't
00:55 Shipping Gemini 3 Flash While Looking Like a "Sophisticated Programming Hobo"
02:52 Gemini 3 Flash Review: Cheap, Fast, Surprisingly Smart
06:31 The Unreliable Frontier Model Problem
10:45 GPT Image 1.5 vs Nano Banana Pro Showdown
17:04 FireCrawl Agent: Research That Actually Works
25:56 Gemini Deep Research Agent Deep Dive
31:57 Skills vs MCPs: The New Paradigm
43:35 Enterprise Skills: Codifying Business Procedures
49:57 2025 Model Timeline Recap
59:53 Best & Worst Model of 2025 Awards
1:04:58 2026 Predictions: Mike Bets on OpenAI
1:14:09 Final Thoughts & Holiday Thank Yous
1:19:35 🎄 Holiday Musical: "A Very Average Christmas"
Have a great Christmas/Holiday/New Year, see you in 2026! xox