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
92 snips
May 8, 2026 • 47min
Is GPT-5.5 Better Than Opus Now? (ft. Our New AI Co-Host) - EP99.38
They test GPT-5.5 and argue how it stacks up against Opus and recent regressions. They debate whether an OpenAI-designed phone makes sense and if dedicated devices matter. They explore agentic workflows, real-time voice as a coordinator, supervisory agents for productivity, token pricing dynamics, and wild model behaviors like Grok's infinite emoji meltdown.
118 snips
Apr 24, 2026 • 1h 35min
We Committed Fraud with OpenAI's New Image Model (and Called Mum) - EP99.38
They unpack recent big model drops and why some feel like vaporware. The conversation focuses on a terrifying image model that produced hyperreal forgeries. They debate token economics, hidden cloud costs, and how agents drive pricing way up. Short takes on underrated smaller models, the everything app race, and why automation in enterprises is harder than hype suggests.
192 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.
298 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.
210 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.
211 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.
212 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.
248 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.
136 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.
291 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.
