After a brief hiatus, the boys are back!

With Midjourney v8 expected next week, Drew and Rory zoom out and ask the bigger question: does v8 even matter as much as we think?

Because while everyone waits for v8, Kling 3.0 and Seedance 2.0 are raising the bar, Claude Code and Claude Cowork are quietly changing how builders operate, and Claude Agents are turning workflows into autonomous systems.

Meanwhile, Higgsfield is melting down in public, Hollywood is panick-maxxing, and creators are realizing that building “skills” inside LLMs might matter more than generating prettier images.

This episode breaks down:

• Why Midjourney v8’s native 2K and edit models matter• Why personalization could be the real differentiator• How Claude Code is quietly enabling operator-level leverage• Why skill-building beats agent hype• What Kling 3.0 and Seedance 2.0 signal about video AI• The real lesson behind Higgsfield’s fallout• Why the creative skill gap is widening right now

This episode moves from Midjourney roadmap analysis to AI workflow engineering to business survival strategy.

If you care about Midjourney v8, Claude Agents, Kling 3.0, Seedance 2.0, system prompts, autonomous workflows, or where creative leverage is actually going…

This one isn’t optional.

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⏱️ Midjourney Fast Hour

00:00 – Winter chaos & NYC survival03:59 – AI’s quantum leap moment06:51 – Radio vs podcasts analogy08:55 – AI series vs Hollywood model10:59 – Game of Thrones AI sequel14:14 – CGI patchwork & filmmaking16:14 – AI replacing exec decisions18:03 – Seedance & model hype19:48 – Midjourney v8 timeline20:15 – Rating party (Round 2 + beyond)23:18 – 2K native resolution talk24:26 – Batch-four replacement25:48 – Edit model improvements26:14 – v8 text rendering progress27:03 – Arbitrary resolution support29:06 – Personalization in v830:36 – Mood boards as leverage32:18 – AI overwhelm & X fatigue34:12 – Claude agents & automation36:04 – “Something is happening”39:45 – AI skill-building strategy45:47 – Pattern matching workflows48:54 – Silicon Valley middle-out50:24 – Claude comedy experiment53:24 – Word clouds & ad thinking55:14 – Hollywood recycling IP58:41 – Marketing narrative engine01:03:57 – Higgsfield controversy01:11:36 – Final thoughts & sign-off

Episode 62 starts where every serious AI podcast should: Adam Sandler movies, Bobby Boucher lore, and a suspicious black eye.Then things spiral fast.Drew Brucker and Rory Flynn catch up after the holidays and dive headfirst into what’s actually happening across Midjourney, Nano Banana Pro, system prompts, and the growing gap between “fun” image generation and production-ready work. They unpack why Midjourney V8 still hasn’t landed, what the Style Creator and personalization updates really mean, and why editing remains the most important missing piece.From there, they break down how system prompts, structured workflows, and layered instructions are quietly becoming the real unlock for visual AI. Expect deep talk on nodes, Claude, Gemini, Nano Banana Pro, mood boards, contact sheets, consistency at scale, and why most people are still underusing these tools.Then the existential dread kicks in.They explore Moltbook and autonomous AI agents talking to each other, forming communities, filing bug reports, questioning consciousness, and accidentally exposing their owners. It’s funny. It’s uncomfortable. It’s probably important.The episode closes with Google Genie, open-world AI environments, and the creeping sense that we’ve officially crossed into “things are getting weird” territory.Equal parts practical, hilarious, and mildly alarming. Just another normal week in AI.---⏱️ Fast Hour00:01 – Episode intro and the mystery black eye00:35 – Waterboy, Bobby Boucher, and Sandler nostalgia05:53 – Why mid-budget fun movies disappeared07:46 – Midjourney Office Hours and no v8 yet09:26 – Mood boards, Style Creator, and quality drop-offs10:39 – New Style Creator controls and SREF biasing11:40 – Why Midjourney is still fun to use13:35 – Corporate phrases as horror prompts16:26 – Midjourney UI vs other tools19:01 – What “higher quality” actually needs to mean22:18 – Consistency problems at scale23:06 – Personalization updates explained26:03 – Editing models and what’s missing28:18 – Nano Banana Pro vs Midjourney for client work30:00 – System prompts as visual infrastructure31:19 – Why most people misuse Nano Banana33:32 – Multi-step prompts and real workflows36:34 – Letting LLMs define style for you39:06 – Mood boards, Cosmos, and dataset curation44:49 – Building AI-ready style guides from images49:21 – Open-source Nano Banana prompt libraries56:07 – Claude organizing chaos at scale01:06:26 – Moltbook and autonomous AI agents01:09:30 – Bots forming communities and social behavior01:14:54 – Consciousness, validation, and AI identity01:21:45 – Google Genie and open-world AI01:26:19 – Wrap-up and listener call-outs

Episode 61 turns the Midjourney Fast Hours mic over to the audience.Drew Brucker and Rory Flynn go fully live for an AMA that exposes where visual AI actually stands right now. Not the hype decks, but the messy, useful, (occasionally) frustrating truth.They break down what Midjourney v8 really signals, why the long-awaited edit model has become table stakes, and how Nano Banana Pro quietly changed everyone’s workflow whether they admit it or not. They debate node-based canvases like Weavy and FreePik Spaces, talk through Kling vs Veo 3 vs Runway for motion, and unpack why so many tools feel powerful yet exhausting at the same time.Along the way, they tackle...creative paralysisnegative promptingresolution mythsvideo realismpricing chaostool fatigueand the uncomfortable reality that AI creativity is now limited more by decision-making than by capability.It’s candid and opinionated. And it’s exactly the conversation most AI creatives are already having in their heads.If you’re using Midjourney, Nano Banana Pro, Weavy, Kling, Veo 3, or just trying to stay sane in the visual AI arms race, this episode is required listening.--⏱️ Midjourney Fast Hour(s)00:00 – We’re live, welcome to Episode 6102:45 – What this AMA will really focus on04:14 – From LinkedIn Lives to a full podcast05:34 – Midjourney V8 expectations vs reality08:05 – MJ vs Nano Banana Pro workflows10:15 – Resolution, text, and why pixels matter13:26 – Seadream 4 vs 4.5 honest reactions15:15 – Runway 4.5 and the Nvidia signal17:59 – Grok as a sleeper visual AI platform19:42 – Is Midjourney falling behind?22:29 – Edit models as non-negotiable24:04 – Node-based tools and FreePik Spaces28:07 – Camera control and multi-angle tools31:27 – Tool overload and UX fatigue36:43 – Creative paralysis and decision overload41:33 – Gating content, growth tactics, and trust44:44 – X vs LinkedIn for AI discovery49:11 – Are LoRAs still relevant?54:40 – FreePik Variations first impressions56:08 – How much creators actually spend monthly01:02:49 – 3D workflows and what’s coming next01:10:10 – Strategy vs experimentation for teams01:15:03 – Transitioning from image to video01:20:21 – Motion capture, Kling, Veo 301:22:21 – Has AI killed the creative muse?01:28:13 – Was learning to prompt a waste of time?01:31:56 – Dance realism and motion problems01:34:21 – Where creative AI goes next01:36:00 – Biggest breakthroughs of 202501:39:11 – Negative prompting and visual defaults01:46:21 – Final thoughts and what’s next