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#ONEPIECE1168 ONE PIECE CHAPTER 1168 ANIMATION RECAP 👑#ONEPIECE Made using Kling 2.6 on HIGGSFIELD & UNLIMITED 🔥 1080p quality with NATIVE AUDIO 🔉✨ (Now 70% off during Cyber Week) RTs and likes are appreciated! Chapter 1168 animation 💝 #Higgsfield // Higgsfield AI 🧩
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![Vegeta Flawless Victory vs Android 19 [HD]💥1080Pee🔥 Original Funimation w/ Bruce Faulconer Audio✅ (Good Version)✅(Not KAI)🤮‼️RE-UPLOAD‼️ 🚨 Copyrights ©️Akira Toriyama, Toei Animation, and Bruce Faulconer.⚠️🔫👮 All 291 episodes of DragonBall Z are available to stream in [HD] quality on Crunchyroll.🐉🟠 / Subscriptions start at $9.99/mo 💻🖱️ Visit for more details 🖥️ Bruce Faulconer's #DBZ discography is available on Spotify. 🎵🟢 (on Mobile, it may bring to a screen to hit play, then 'Get the App'. If Spotify is Installed, 'Get the App' should automatically load both for you.) 📱 This links to "The Dragon Theme" 🐉🟠 #dragongasm 1:10-3:55 🎶🌊🐉🟠 ⚠️These [HD]💥1080Pee🔥 edits as they are presented are not available for Television currently.🚫📺 ⚠️This is a FANMADE re-imagination of what our childhood 'could be' today. 🤔 ⚠️Our version of 'DragonBall Z' that we grew up with has not existed for almost 20 years, we are forced to rely on old physical media and internet archives to watch it. 💿 Bruce Faulconer officially became canon in the Pee Universe on 08/08/2026. 💯 #notegoat🎵🐐 Faulconer 👑 is coming 🐦⬛ Bruce Faulconer 👑is the Legendary composer of the iconic American DragonBall Z Soundtrack. He was cast aside 25 years ago, and is actively recruiting "Pee Warriors" now to take down the Tyrannical Warmongerer known as Taylor Lannister (Swift).💰 He is the right heir to the throne of the Billboard Top 100. If you would like to support The One True King👑, 🎵🐐please give his Spotify a listen, or see Bruce's Goose's below about joining the Pee Warriors. 📋 See → #ShenrundayService🐉🟠⛪️ for edit posting schedule. See Pinned Post for "Pee Universe Explained by Pee"📌📁 👈 In the Pee Universe, #DBZ never peaked, it's still going strong in 2026 too!🏁 I'm just a fan like you are. 🫵 (🚫NO AFFILIATIONS🚫) 🛑I posted this on Wednesday night originally under BETTER AUDIO SYNC THAN ORIGINAL US BROADCAST and I had cut close to 3/4 a second of audio. It matched on my pc, but no other device that I tried. This was actually due to the fact I started using a bluetooth speaker within the past week. I have since corrected the issue, and no other false claims about being better than the US broadcast exist. I'll leave that for your interpretation.💯 I wanted to get this back up asap too for anybody who planned on watching it again. This is the DragonBall Z we grew up with.✅](https://image.24vids.com/tw-2090957932368109669/amplify_video_thumb/2090957600883933184/img/n4B1TXqw1UJuz3XQ.jpg)
![The most epic 13 minute AI rant I've heard in 2026 PS: My parent's heard this when I was playing it in the car and thought Jason ✨👾SaaStr.Ai✨ Lemkin went OFF like Stephen A Smith does on first take PPS: Full transcript below [17:00] Harry Stebbings: I I just wanted to ask Jason, if the people that we want are fundamentally different, the developers that we used to hire, we don't because AI writes the code for us. The marketers we don't want, the sales people we don't want—who who do we want genuinely? Like what is the attractive profile? Because your Anthropic’s and your OpenAIs are hiring, so so what are the people that we want in the companies of the future? [17:18] Jason Lemkin: Look, I know it sounds trite, but but the answer is simple. It's just the expression each year changes. We want folks that are genuinely AI fluent. It's pretty simple. Now you know, maybe last year we called them prompt engineers, right? That used to be a job. I don't know if you remember that actually used to be the hottest job on planet earth. Now no one needs a prompt engineer because it's pretty easy to prompt all these tools. That job died. Okay. Um and now we need go-to-market engineers. Um I think that job's going to die. We need—everyone needs so many forward deployed engineers. Like you can't hire enough forward deployed engineers. But uh you know um but Palantir just announced in whatever their their big their big event—they've gotten their deployment times down over 90% with forward deployed engineers. So that may become—so the this wave of disruption for the titles and the specificity, it's also exhaustingly accelerating. But it's really simple. You meet anyone for any role—sales, marketing, engineering, product, QA—they're they're either they're either they can't keep all of the ways they use AI to accelerate their job from spewing out of their mouth, or they're staring at you. It's there's nowhere in the middle. Like, and the person that comes in and says—it's it's it sounds Captain Obvious—but like, you know, you just had the whatever from Lovable, the the marketing head that was super popular on the show, right? She's just spewing AI-native insights into Lovable, right? It's not that complicated. You hire her, Elena, or whatever it is. You just hire her. It doesn't matter whether she's still in college or a junior or a senior or a middler, a left or right. And honestly, if you interview people, I would say of all even of the best startups I've invested in, maybe 30% of the management team meets this standard at best. 30%. Maybe less. And of the interviews I do in general, it's single-digit percents. It's just and in in that sense, it's the same as ever. Like you either lower the bar in hiring or you hire someone that's actually great. And someone that's actually great is so far ahead of you in how to apply to to employ the efficiencies of AI in their role, your jaw falls on the table. The difference is we used to need warm bodies. That's what's changing. We used to need warm bodies to answer the call, to do QA, to do code review, to to get the blue pixel to go from the upper left to the lower right. You laugh, but you need you literally needed to brute force this with humans. With AI, every day that goes by, the AI—you do not need brute force human beings on your team. And that's another reason they're shrinking. Why are all these new companies so efficient? They're just not brute forcing things with humans. They're just not. They're choosing not to. And so these team—all the brute forcers out there—everyone talks about how bloated teams got in 2021. I don't agree with that. I think they got as big as they needed to be when growth was high and you needed humans to do everything. All you look at these teams that that doubled—well if growth continued at 60% like the rate in early 2021 for 5 years or can help me do the math and every single thing a software company did required a human. You were understaffed by your 2021 headcount. You'd be sitting here in 2026. You every office in SoMa would be triple packed and you there wouldn't be enough humans to staff your company. It's just the world changed. [20:33] Harry Stebbings: Jason, you live on the bleeding edge. I think me and Rory see that and I think the world sees that when they hear you every week in terms of how you run SaaS. For all of the CEOs and execs who listen to the show, what would you advise them in terms of determining whether someone is AI fluent when they meet them for jobs, for talent? [20:51] Jason Lemkin: Here's I realized I was just asked this. I just did a review with a super fast startup growing just crossing 100 million and I was asked this question. And one of my favorite executives, I thought his answer was pretty dated and because he gave me an answer that was about 6 months old. The answer 6 months old is: "I look for folks in my team, I look for you know at what tools they play with." Okay, that was a great answer in like summer of 2025. Okay, I tried Lovable last week. Okay, the answer in 2026 is: "What commercial AI tool have you brought into your organization this month?" That's the test. Anyone that is on the bleeding edge that you would want to hire—now there are so many great products in the market. Okay, there is no excuse in any role to have not brought one tool a month into your organization. Okay, there—now there's going to be better and better tools and better and better products as the year goes on. What's the one you did? And you will see folks with their deer in the headlights to this question. What what sales tool? What marketing tool? What product tool? What engineering tool? What did you bring in? Why did you pick it? How does it working? Because if you're at remotely at the cutting edge, you're all over this. You're looking for the next agentic tools that will radically improve how you do business. This is—you think everyone thinks SaaS is at the bleeding edge, right? You know, you know, all we do is we're just looking for the tools and trying them. Okay? Okay, we're one year ahead of everybody else because we did the simplest thing in the world. Like we tried the tools early and we trained them. We trained them for a month. Okay, I'll give you—want hear a horrible example from this week? Super hot AI company valued at 6 billion. Okay, I'm not going to name it. Um, this week yesterday told us we had to quadruple what we spent on their product. Okay, their agent told us, right? And why did this happen? Okay. Well, at this $6 billion company, no one had trained the agent on its pricing properly. No one had tested it. They said, "Well, well, we've been in beta." And we said, "Well, when did the beta launch? A year ago." Okay, these are people asleep at at the wheel. You want somebody who the instant this comes up, they exactly know what the issue is. And "Hey, when I was at Lovable Replit, we trained the agent. This is how we did it. I brought in this tool. I brought in this tool that that Rory invested in last week. It solved all these issues." That's what you want to hear. And if they haven't brought in a tool in the last 30 days, at least deeply evaluated it. I don't really care whether they bought it, but gone so far down the funnel they can tell you—pick whatever tool: Fixie, Regie, GC, AIGC—I don't care how you went through it, you looked at it, you can tell me the eight ways it would improve the productivity of your business and three you didn't. Just don't hire that person because they're going to run your company to the ground. This is the job today. The job today is not to screw around on ChatGPT and to be a prompt engineer. The job today is to bring the best AI and agentic products into your organization and leverage all the hard work that the engineers have done building those products. That's your job. You don't have to screw around. You don't have to be a prompt engineer anymore. You have to be an agent deployment expert. A—this is the new job we're making up today. An Agentic Deployment Expert. That's your job from C-level to junior. Agentic Deployment Expert. Don't hire anybody else. You're going to regret it. They're going to stare at the camera. He's good. Stare at the camera. He's honorable. We could probably just I could slip away, get a coffee, and come back. No. And I I sound exasperated, Rory. And I—but the reason I am is I can just see I can see my best companies doing it. And I can see some companies I've invested in not doing it. And I want to cry. I just want to cry when they have no ADs on their team. I just—like you're flushing your years of your life down the toilet by not approaching your how you're building this company this way. [24:33] Rory: Yes. And at the risk of being positive, it's worth pointing out two things he didn't say. Well, something implicit why he said—Jason didn't do the only hire, you know, he didn't commit the um employment law, I think it's a civil penalty of saying only employ people below X who get the new new thing because he implicitly said anyone can do it provided you're willing to learn. And I think that's the big aha that's one of the positive statements to make here right? Look and I think it applies—I'm always wary of being "Hey, coming across, hey this this is the things that you all have to do." I think it applies to everyone including investors right? I mean I will say I have found that unless you're willing to invest the time learning these tools you actually shouldn't be investing in them. One of my partners Andy had this expression: "You know, if you decide you want to stop learning new things you probably should retire within 6 to 12 months and never write another check again." Maybe that's down to 3 to 6 months at this stage, right? And I think, you know, it's— [25:27] Harry Stebbings: Yeah, I actually I actually had a meeting with mine and Jason's biggest investor the other day and I—pretend he's not here—I said I think he's the most equipped investor for this generation of investing because I don't think anyone quite sits at the bleeding edge like he does on the investor side. [25:42] Harry Stebbings: Why in terms of using the equip stuff? Yeah. Yeah. In terms of using the stuff, understanding understanding bottlenecks, constraints. For sure. [25:51] Jason Lemkin: But can I just add one point? We can just cuz it's so important if it helps people. Okay, we are—and thank you Harry. We're going through these phases. Okay, and when AI started to blow up for real for us, uh call it early 2024, right? Maybe late '23, I wasn't equipped. It was too technical. I wasn't going to go in and figure out—I wasn't smart enough to figure out how to deal with a massively hallucinating LLM API and turn that and turn that into something magical. Kudos to investors and others that that got it in early '23, '22. I mean I remember I—I guess it was maybe SaaStr Annual '23. I was with David Sacks and I did a Q&A and I said, "How you thinking about AI at Craft?" He's like, "Well we're all in. We want 80% of '23 of investments to be AI." I'm like, "Great but like show me the show me the great ones in market." He's like, "They're all prototypes. We're all they're all they're all proof of concepts but we're all in anyway." That's where you kind of had to be in '23 if you weren't investing at like the LLM level. Okay, I wasn't smart enough. Then we went through this weird-ass prompt engineer era where like you you could torture these products to do something good, right? But you had to torture them. You had to like craft these crazy things that made no sense. Now we are in the era where mere ordinarily smart generalists can make these tools do magical things. And literally I go to these meetings and people be like, "I don't know how to like this is so scary. I don't know how to do this." And we show them our backends. Do you know how to do a workflow generator? Do you know how to do a a decision tree? Like we've been building these since software in the '90s. Okay, if you—I can show you all of our agents. The how they work is novel. They do have to be trained. You can't be lazy and have these agents work. But honestly, the the UI, the UX, the way we interact with them, it's just software. And so my point is: Pick yourself off the ground. This is your time now. If you felt lost in AI era, if you felt like you're behind, you don't understand what all these people are saying on X and Twitter and their Claude and and their and talking about all the 4.6 point Nano point and it's over—like you just it's not your world. This is your time. This is your time for the generalist that knows how to use software tools really really well. And I—this is my last point but it's so important. If ever in your recent life—and this is why you could be all you need to be is young at heart to Rory's point—if in the last three to five years you have successfully deployed a piece of enterprise software of any sort you yourself, not some agency you hired, but if you have deployed it, you can deploy any agentic tool. Any. And you can become the hero in your company and you can become the hero in your functional area. But I watch folks—I'm literally helping a company now that they're adding hundreds of sales folks this year with a new pre-IPO COO—he's not hasn't brought in a single tool, totally scared of it. Okay, it's not that hard. Did you use SalesLoft? Did you use Outreach? Did you use HubSpot? Do you know these tools? If you can deploy these tools, you can deploy a world-changing AI agent. And so this is the time for people like the folks that that were shut out of the AI revolution right now. The generalist folks that are not that know how to deploy software that don't even know how to build software. Like vibe coding for me was folks who knew how to build software, but you didn't have to be an engineer. Now, you just need to know how to deploy software to win with AI agents. That's all you need to know. So many people have these skills and they're petrified of AI. "How did you do that? How did you deploy an AI BDR?" Well, we bought a piece of software, we figured out how it worked for a day, we set it up in an afternoon, and then and then we did spend 30 months training it, which you didn't do with this old software because in the old days, we just had to manually upload all the data, right? And there was no training. The the only non-intuitive part is training these things. And it's it's it's just work. So that's why when I see folks on the management team not doing this, there's no excuse. You do not need to be technical to win with AI agents in Q2 of '26. You do not need to be even 1% technical. Not at all. So it's your time. Or you're going to get laid off. Or you're going to get laid off because you're not going to matter.](https://image.24vids.com/tw-2036795243681423518/amplify_video_thumb/2036794127560613888/img/52_cdbzzL6_foTSI.jpg)
![I made an ad for GPT Image 2.5, full prompt below. It's yours now. Put your own character in @[image1], your own poster in @[image2], change the city, change what she turns into. Quote this with your version, I want to see what you all make of it. Seedance 2.5 on Higgsfield AI 🧩. Seedance 2.5 Prompt: [GLOBAL] 30-second commercial. Photoreal live-action cinema texture, digital cinema camera, 35mm and 24mm lenses, shallow depth of field, real overcast rain-light, low-contrast cool grade, light film grain. 16:9. The spine of the film is one continuous over-the-shoulder tracking shot; all transitions are hidden inside motion blur and the crystallization effect. [CHARACTER ANCHOR] @[image1] = the protagonist, a Japanese woman in her early twenties with a Tokyo street-fashion look: bleached pale-blonde wolf-cut shag with dark roots and a single mint-green streak in the under-layer; clean Japanese makeup — thin brows, pearlescent eyeshadow, nude lip; an oversized charcoal coach jacket with an original graphic print on the back, a long white tee underneath, baggy black cargo pants, chunky platform sneakers, layered silver jewelry, wired over-ear headphones around her neck, a small crossbody bag. Her face, hair and wardrobe stay 100% identical from 0s to 28s — never altered, never touched by any "generation" effect. She is the only constant in the film until the final beat. Emotional arc: oblivious → noticing → confused → stunned → awestruck → transformed. [ARTWORK REFERENCE] @[image2] = the billboard artwork reference. Used ONLY for the flat graphic displayed on the bus-shelter digital billboard at 11–15s — including its complete typographic lockup ("Higgsfield × OpenAI" in small caps, "GPT IMAGE" in heavy white, the lime-green gradient "2.5", and the wide-tracked "SUNBURST" beneath), along with its layout, palette and composition. @[image2] must appear as a complete flat advertising image inside the billboard screen, carrying correct perspective, screen reflection and rain refraction across the glass surface. The woman pictured in @[image2] must NEVER be used for the protagonist's design, must NEVER leave the billboard screen, and must NEVER appear in the physical space of the scene. @[image1] and the woman in @[image2] are two entirely different people — never conflate them, never let one influence the other. [CORE VISUAL MOTIF — THE ONLY TRANSFORMATION LANGUAGE IN THE FILM] Anything being "regenerated" must follow the exact same three-stage process: ① the original object disintegrates from its edges into a cloud of tens of thousands of small translucent white crystalline beads — like bubble-film or shattered glass pearls, with real volume, specular highlights and real weight; ② the bead cloud hangs briefly and rapidly rearranges; ③ the new form grows outward from inside the cloud, the final layer of beads absorbing into its surface and vanishing. Do NOT use flash cuts, dissolves, particle-dispersal effects, or digital-glitch styling for any transformation. [SETTING] A Midtown Manhattan intersection after rain. Wet asphalt reflections, crosswalk stripes, yellow cabs, dense glass curtain walls and older stone buildings, neon and storefront signage, a fire hydrant, a newsstand, a bus-shelter digital billboard. Overcast diffused light throughout, no direct sun. 0–3s: Over-the-shoulder medium shot, following behind @[image1]. Her back is to camera as she stands on the crosswalk. To frame right, a 1970s green sedan in motion crystallizes entirely and reassembles as a black muscle car; a few frames later it crystallizes again and reassembles as a white wheel-less hover car. She hasn't registered it yet. 3–7s: The camera arcs around to her side. She starts looking around, the ends of her wolf cut swinging with the head turn. A businessman with a briefcase crystallizes mid-stride — the human-shaped bead cloud holds the walking pose for two full steps — and reassembles as a bare-chested barbarian warrior with feathered ornaments, continuing the same stride. Two or three more pedestrians crystallize in the background simultaneously, without pulling focus from her. 7–11s: Handheld tracking accelerates. More and more people on the street are replaced: a purple-skinned alien warrior woman, white-armored robot troopers, an original gold-suited superhero character (all original designs — no real-world recognizable characters, logos or trademarks). She walks faster, keeps turning to look back, her breathing quickening, one hand instinctively gripping her crossbody strap. The replacement frequency keeps rising, but the street's spatial relationships, lighting and wet reflections remain continuous throughout — no jump cuts. 11–15s: She stops in front of the bus shelter. The digital billboard inside cycles rapidly: a photoreal movie poster → a hand-painted concept illustration → a fashion editorial — each refresh executed with the same crystalline bead reassembly. It finally settles on the complete @[image2] artwork filling the entire screen, its typography and palette exactly as in @[image2]. She raises a hand and points at the screen, mouth open, unable to speak. 15–18s: The camera tilts down to her feet. The sidewalk paving crystallizes outward from where she stands in a perfect circle, white beads spreading three meters along the joints between slabs, the manhole cover and the standing water turning crystalline with it. She looks down. The ground gives out beneath her platform sneakers. 18–21s: Wide 24mm. The ground collapses and she falls straight down. The camera falls with her looking up — the entire city contracts above her into a shrinking square opening, the buildings on either side peeling away, tumbling and receding upward like building blocks, the sky turning to deep blue-black void. She throws her arms out, her hair, jacket hem and bag strap lifted by the updraft. 21–24s: During the fall the visual style jumps repeatedly, each jump bridged by one full-frame sweep of crystalline beads. In order: ① rich 1980s film stock — high saturation, heavy halation, heavy grain; ② black-and-white halftone manga panel — the character rendered in ink linework and dot screens against dense radial speed lines; ③ a neon purple-blue digital vortex with long light streaks stretching backward at speed; ④ near-total darkness with extreme motion blur. Her facial structure, hair and wardrobe must remain recognizably the same person in every one of these styles. 24–27s: She lands flat on her back on a smooth white floor. A wide lens pushes in slowly and tilts up to reveal the environment: an infinitely extending pure-white showroom/hangar with a gridded softbox ceiling. Hundreds of black circular pedestals cover the floor, each holding a character statue or a parked vehicle — original-design warriors, mechs, robots, sci-fi troopers, plus large military aircraft and helicopters. A small line of floating white label text sits in front of each pedestal: "FANTASY CHARACTER", "VEHICLE", "MECH" — set at a small point size, present purely as environmental information. 27–28s: She sits up and pushes herself to her feet, turning slowly to take in the hall, eyes widening in awe. The camera settles into a full-body medium-wide, centered, the statue array receding out of focus behind her. 28–30s [THE FINAL TRANSFORMATION]: The instant she stands fully upright, the crystalline beads rise from the floor around her feet and sweep up her body in one continuous wave — and for the first time in the film, SHE is the thing being regenerated. Her streetwear disintegrates into the bead cloud and a magical-girl battle uniform grows outward in its place, following the exact same three-stage motif, generating in a readable order from the torso outward: a white high-collar fitted bodice → a mint-green sailor collar with three silver stripes → a deep mint pleated skirt with silver trim, its pleats opening one by one → long white gloves to the upper arm with mint piping → white knee-high boots with a mid heel and mint cuffs → layered silver jewelry reforming as a silver star brooch at her chest → a large mint-green bow at her back with long ribbons falling to the backs of her knees → a fine silver tiara condensing across her forehead. Her face, hairstyle, hair color, the mint streak and the headphones around her neck remain completely unchanged — only the clothing is regenerated. The last beads absorb into the fabric. She looks down at her own hands, then slowly raises her head, the ribbons still settling behind her, and looks straight past camera with a small, dawning smile. The film cuts on that frame. No end card, no title, no tagline, no subtitle of any kind. [SOUND] Rain and wet-road traffic, urban ambient bed; high-frequency glass/ice shatter-and-rearrange sounds on every crystallization; a short bright locking tone as each reassembly completes; electronic refresh tones from the billboard; low-frequency collapse as the ground gives way; wind through the fall, with a distinct timbre shift for each of the four style jumps (film hiss / paper-and-ink texture / synth sweep / silence); one muffled impact on landing; near-total quiet inside the hall with only faint HVAC room tone; then, over the final transformation, an ascending shimmer of silk and crystal, each garment piece seating with a crisp click, the bow tying with a single sweep of ribbon, and one clear bell tone as the tiara locks in. One escalating electronic music bed ties it together, landing its final hit on her raised head. [HARD RULES] @[image1]'s face, hairstyle, hair color and headphones are absolutely unchanged across all 30 seconds. Her wardrobe is unchanged from 0s to 28s and may be regenerated ONLY in the 28–30s final beat — the transformation affects clothing only and must never alter her face, hair or identity. All other replacements happen only to the people, vehicles, ground and environment around her. The film may use only the single "crystalline bead disintegration → rearrangement → growth" transformation language, including for the final costume change; no other transition effect may be mixed in. From 0–18s the film must hold the logic of one spatially continuous tracking shot — the street's architecture, lighting and wet reflections must never jump. Every character and vehicle in the hall must be an original design; no real-world recognizable characters, brand marks, trademarks or identifiable film properties may appear, and the final magical-girl uniform must be an original design, not any existing anime character's costume. The only brand copy permitted anywhere in the film is the @[image2] artwork on the billboard screen at 11–15s, existing solely as a flat image inside that screen and never repeated elsewhere. No end card, no title card, no subtitles, no watermark, no overlaid text anywhere in the film. Avoid: cartoon rendering, game-CG feel, plastic materials, full-frame bloom, digital-glitch transitions, weightless floating, incorrect finger structure, garbled text, revealing or suggestive posing or camera angles.](https://image.24vids.com/tw-2098420840073236536/amplify_video_thumb/2098419846346113033/img/ntZLO-Woz5NhUKJy.jpg)
