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s04e01 Cursor just pulled the biggest rug on developers – why’s nobody talking about it?

Show Notes

📝 Episode Summary

Welcome to Season 4 of BigCheese.ai — where the mics are hot, the takes are louder, and the AI news is… complicated.

This week, Brandon, Sean, and Jacob dive headfirst into the recent rug pulls shaking the AI and tech world. From OpenAI’s rollout of ChatGPT-5 (and the loss of beloved model personalities) to Cursor’s model mystery and Arc browser’s pivot, the crew doesn’t hold back.

Along the way, we explore whether LLMs can really reason, the growing power demands of AI, local model options like GPT-OSS, and the future of decentralized AI. Plus: browser breakups, password manager hot takes, AI-generated Irish punk albums, and how kids are outsmarting their tech-loving parents.


🕒 Timestamps & Topics

[00:01]Season 4 is here 🚀 Audio issues aside, the guys dive right in.

[00:34]Rug Pull #1: ChatGPT-5 — OpenAI hides model choices, users mourn lost personalities, and “intelligent routing” sparks debate.

[02:00]The companion effect — Why GPT-4 felt more human, and the emotional fallout of removing it.

[05:18]One model to rule them all? — Is model-switching for optimization… or cost savings?

[06:53]Perplexity’s scraping controversy — Cloudflare fights back, and Perplexity’s big (and maybe unrealistic) moves.

[08:24]Rug Pull #2: Arc Browser — Arc pivots, Zen Browser rises, and why browser UX matters.

[11:55]Password managers — Why your browser’s password saver is a bad idea.

[15:03]Apple’s AI paper — No real reasoning, just advanced pattern matching.

[18:33]The limits of LLMs — Why AGI won’t come from just scaling parameters.

[20:05]Environmental impact — AI’s growing power draw and looming data center bubble.

[25:57]Rug Pull #3: Cursor AI — Hidden models, agent chaos, and dev trust issues.

[28:41]Local AI options — Open WebUI, OLLama, and OpenAI’s new GPT-OSS model.

[32:44]Apple’s containerization — Possible game-changer for local AI deployment.

[34:07]Privacy & decentralization — Why the future AI might need to run on your own device.

[36:01]Thin client dreams — Mac Mini setups, Sidecar quality, and network bottlenecks.

[38:07]Kids hacking the rules — From Xbox streaming to Google Voice workarounds.

[40:38]Typing is dead? — How younger generations approach keyboards.

[41:48]AI image generation quirks — GPT-4 image outputs and the “plastic” effect.

[42:57]Music AI leaps — Suno 4.5 and making Irish punk about beer.

[46:15]Tesla’s Unreal mapping — Gaming engine visuals meet real-world driving.

[47:01]AI podcast intros — 11 Labs experiments and prompt tricks.

[49:56]Claude Code vs Cursor — Terminal life, pricing weirdness, and team plan pain.

[52:04]Lovable-like app building in ChatGPT-5 — A real threat to AI code-gen startups.

[55:24]Vendor lock-in fears — What happens when your AI platform disappears?

[56:41]The cost problem — Could AI tools reach $30k per month per user?


💡 Key Takeaways

  • Model personality matters — Users form attachments, and removing a beloved “voice” can alienate your base.

  • Dynamic model switching is as much about cost control as it is about optimization.

  • Local AI is rising — Open-source models are catching up in reliability, especially for structured outputs.

  • AI hype is plateauing — We’re discovering hard limits of LLMs and the environmental costs of scaling them.

  • Tech pivots are brutal — Whether it’s Arc browser’s shift or Cursor’s hidden models, trust is fragile.

  • Kids will outsmart you — And often in creative, tech-savvy ways.


🔗 Resources & Mentions

  • Zen Browser — Arc-inspired, Gecko-powered browser.

  • Open WebUI — Open-source local AI chat interface.

  • GPT-OSS — OpenAI’s first open-source model.

  • Suno AI 4.5 — High-quality AI music generation.

  • Apple AI Research Paper — On reasoning limits in LLMs.