Midjourney Fast Hours

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

In this final episode of 2025, Drew Brucker and Rory Flynn zoom out to dissect what actually mattered this year across Midjourney, Nano Banana Pro, ChatGPT Image 1.5, Weavy, video models, workflows, and the uncomfortable truth about how fast all of this is moving.They unpack the real inflection points no one labeled at the time. Why March quietly changed everything. Why Nano Banana Pro rewired image editing expectations. Why Veo 3 reset video. Why Midjourney still feels magicalWhy workflows (not models) are becoming the real creative advantage.Along the way, they spiral into mood boards, personalization hacks, node-based systems, AI video limitations, why Hollywood feels creatively bankrupt, how Grok quietly became a research weapon, and why Midjourney’s next move might determine whether it stays an artist’s playground or becomes a professional tool.It’s opinionated. It’s nerdy. It’s honest. It’s occasionally unhinged.And it’s the clearest snapshot of where AI creativity actually stands heading into 2026.If you’re trying to keep up, slow down, or figure out where to place your bets next year, this episode is your unfair advantage.---⏱️ Midjourney Fast Hour00:00 – Episode 60 kickoff and end-of-year reflections01:50 – From niche experiment to mainstream behavior04:00 – AI finally reaches non-technical families06:18 – Why working solo in AI can feel isolating09:03 – Music, creativity, and early signs of AI music adoption11:02 – How fast AI actually shipped in 202512:14 – 100+ major releases and why that number matters13:01 – The real start of image editing workflows14:46 – March 2025 was the quiet inflection point16:06 – Multi-modal chat changed prompting forever19:20 – Veo 3 and why video suddenly jumped ahead21:41 – Why Google quietly dominated 202523:00 – Why hype cycles now last 48 hours23:51 – Nano Banana Pro and precision image control26:02 – Grok as a real-time research engine27:49 – Why physics in AI video finally started working29:12 – Nodes, workflows, and why visualization matters30:26 – Why Nano Banana Pro felt like “AGI for images”31:26 – Will 2026 move even faster?32:25 – Release cadence, VC pressure, and reality checks34:03 – Images vs video: who’s actually ahead36:18 – Why Grok might be the sleeper winner38:36 – Data, platforms, and why distribution matters41:28 – Consolidation and acquisitions are coming44:14 – What Midjourney must do next45:23 – Image editing as the make-or-break feature48:43 – Workflow fatigue and creative burnout52:50 – Personalization, mood boards, and creative joy56:44 – Why mood boards drove the best work of 202559:12 – Personalization profiles vs mood boards01:00:43 – Why Midjourney still feels different01:02:27 – Scale, permutations, and professional use cases01:06:36 – Resolution, editing, and real production constraints01:10:22 – Why small failures still matter01:13:00 – Hollywood, creativity, and AI backlash01:17:17 – Why creators beat platforms01:22:25 – Audio and voice as the next bottleneck01:23:55 – Constraint-driven prompting in 202601:30:14 – Looking back at January vs now01:38:23 – Final predictions and advice for 202601:42:34 – Season two wrap and sign-off

Drew and Rory stumble back from the holiday chaos—one fresh off vacation, the other barely resurrected from a mystery NYC illness.
Between fever dreams and booger fingers, they somehow manage to tear into ChatGPT's Image 1.5 disappointment, expose why Nano Banana Pro is quietly dominating their workflows, and reveal the Weavy automation setup that's actually working (while FreePik continues its reign of mediocre terror).
The duo gets brutally honest about why OpenAI feels like it's slipping, why negative prompting might be more important than what you actually want to create, and how to build your own custom AI tools in Google AI Studio without selling your soul to another subscription.
Plus: vintage Kodak rally cars, the art of perfect thumbnails, coconut water in cocktails, and why their illness prevention protocols involve more vitamin C than common sense.
If you survived their holiday absence and made it through the mandatory 20-minute ramble tax, you'll be rewarded with legitimate workflow gold that actually ships.
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⏱️ Midjourney Fast Hour
00:01 A Mr. Sniffles cold open
05:18 Prompting while sick, then getting cooked on X
07:35 An “Am I an AI artist?” reality check
15:08 Moodboards, unsettling styles, and “what counts as art”
27:39 Blade, Pluribus, and movie still inspiration sites
31:42 Midjourney V8 quiet, Style Creator alpha changes
37:45 The pace of releases and tool fatigue
40:37 World models, Veo 3, and the next leap
43:28 ChatGPT Image 1.5 talk and why it’s still behind
46:12 Nano Banana Pro flex, Freepik waits, and why it matters
49:17 Weavy workflow walkthrough: from ref to shot list
55:26 Contact sheets, “mini LoRA” vibes, and system rules
59:14 Kling o1 keyframes: why 3–10 seconds is a cheat code
01:03:32 Real text and brand risks in outputs
01:06:52 Build your own Nano tool in Google AI Studio
01:08:01 Writing models: ChatGPT vs Gemini vs Claude
01:09:23 Negative prompting becomes the main event
01:11:25 Wrap, thumbnails, and holiday chaos