

This Day in AI Podcast
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
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
Episodes
Mentioned books

142 snips
Mar 6, 2026 • 1h 8min
We Built Microsoft Teams in 23 Minutes (And You Can Use It) & GPT 5.4 Impressions - EP99.37
They test GPT-5.4’s new capabilities, context windows, and surprising tradeoffs in agentic speed. They describe rebuilding full SaaS apps from single prompts, including a working video-chat team app and a Trello clone. They debate steep Pro pricing, compare models like Opus and Gemini, and predict a wave of cheap agentic tools that could upend many SaaS businesses.

266 snips
Feb 27, 2026 • 1h 2min
Nano Banana 2 is Here! Gemini-3 Shutdown & The AI Layoff Myth | EP99.36
They test Google’s Nano Banana 2 for cheaper, faster image generation and push its limits with annotation-based edits and slide fixes. They dig into why Gemini-3 was pulled and how agentic workflows expose model flaws. The conversation compares Opus, Codex and GLM-5, explores smart model routing and cost trade-offs, and questions whether recent mass layoffs are really about AI.

200 snips
Feb 20, 2026 • 58min
Gemini 3.1 Pro, Claude Sonnet 4.6 & The OpenClaw Hire That Killed the Chatbot Era - EP99.35
They dissect two new models, Gemini 3.1 Pro and Claude Sonnet 4.6, and why one lost trust due to tunnel-vision hallucinations. They debate speed versus intelligence for agentic workflows and argue smaller sub-agents can beat huge context windows. They question OpenAI buying OpenClaw instead of building it and critique token pricing and the rising costs of massive-context models.

200 snips
Feb 13, 2026 • 1h 3min
Am I Even Needed Anymore? GLM-5, Agentic Loops & AI Productivity Psychosis - EP99.34
They unpack GLM-5’s Huawei-backed release and why cheap, coding-optimized models are reshaping the model war. Agentic loops, 200K context windows, and the trade-offs of parallel workers get debated. They explore AI productivity psychosis, rising workloads from automation, and the safety researcher exodus. There’s also talk of ergonomics, voice input pivots, and whether agent-driven workflows will redefine roles.

202 snips
Feb 6, 2026 • 1h 2min
Is the ChatGPT Era Over? Opus 4.6 & The Shift from Chat to Delegation - EP99.33
They break down a dramatic same-day model showdown between Opus 4.6 and Codex 5.3. Conversation covers million-token context windows, surprising token cost math, and why coding-optimized models shine at non-coding tasks. They wrestle with tool fatigue, the shift from chat to delegation and the challenges of managing agent swarms. Plus an absurd real-world agent misfire and even a diss track.

233 snips
Jan 30, 2026 • 1h 20min
Did Clawdbot Just Show Us the Future of AI Workers? & Kimi K2.5 Dis Track Tested - EP99.32
They unpack a viral open-source AI assistant that hijacked subscriptions and sparked $750/day token bills. They explore why locally run skills, CLI tools, and Mac minis are creating reliable digital coworkers. Discussion covers smaller models like GPT-5 Mini and Kimi K2.5 thriving with targeted context, agentic loops building tools on the fly, security and enterprise locking, and two Kimi diss tracks.

123 snips
Jan 23, 2026 • 1h 13min
The AI Productivity Paradox: Why Doing More Feels Like Burnout: EP99.31
The podcast explores the perplexing phenomenon of 'AI exhaustion' from multitasking with numerous tools. It highlights how single-tasking often outperforms chaotic workflows. Michael shares his experience of creating presentations in record time with AI assistance. They discuss the significance of context and tooling over just better models. OpenAI's controversial ad plans stir debate, while discussions on productivity gains raise concerns about potential burnout. Finally, the hosts touch on the implications of enterprise context sharing for organizational efficiency.

278 snips
Jan 19, 2026 • 1h 9min
2026 Existential Crisis, Claude Code Hype & Is SaaS Dead? EP99.30-WIZARDS
In 2026, the AI landscape sees widespread existential crises among developers caught between utopian visions and grim realities. The hosts dissect the overhyped promises of Claude Code, revealing the stark limits of AI agents in real-world applications. They explore the looming costs of enterprise AI, debating whether SaaS is truly dead or just evolving. Additionally, discussions on integrating various tools into a single platform raise exciting possibilities for the future of productivity, while Geoffrey Hinton's reluctance to engage adds a humorous touch.

354 snips
Dec 23, 2025 • 1h 23min
Gemini 3 Flash, GPT-Image-1.5, Skills vs MCPs, and Our 2025 Model Reviews - EP99.29
This week's discussion dives into the impressive Gemini 3 Flash, deemed cheap, fast, and surprisingly smart. They compare GPT Image 1.5 to Nano Banana Pro, revealing Google's edge in image tasks. FireCrawl Agent is introduced as a game-changing research tool with reliable decision-making. The hosts explore the new paradigm of Skills versus MCPs, detailing practical applications for enterprises. Wrapping up, they recap their best and worst models of 2025 and make bold predictions about the landscape in 2026—all wrapped in a festive holiday spirit!

253 snips
Dec 12, 2025 • 1h 4min
GPT-5.2 Can't Identify a Serial Killer & Was The Year of Agents A Lie? EP99.28-5.2
In the latest discussion, GPT-5.2 is underwhelming, failing to identify a convicted serial killer while its competitors shine. The hosts critique the overhyped 'Year of Agents' that never delivered, and why many users are switching to alternative AI models like Grok and Gemini. Disney's hefty investment to use Mickey Mouse in a new project also sparks conversation. Plus, tune in for a hilarious diss track that showcases the model's shortcomings while maintaining its swagger.


