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FC26 Thunderstruck is live! A complete broadcast identity for the Black Friday promo : overlays, transitions, scoreboards, scenes and GFX templates. • OBS / Streamlabs ready • 2D + 3D overlays • Premium & Essential versions • Graphic Pack for thumbnails & content • Instant download → Stream Pack...

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The Solana TCG scene is getting crowded, so I dug through it and made a curated map. 🎴 Bookmark this if you’re into packs, cards and onchain collectibles. Core Solana first 👇 • Collector Crypt One of the main infrastructure layers for tokenized TCG on Solana. Vaulted graded cards, digital packs, instant sellback, physical redemption and onchain ownership. • Gacha A dedicated pack-ripping platform for graded cards. Digital packs, real collectibles and global redemption, with a clean consumer experience. • gachasports Sports cards meet pack ripping. Powered by Collector Crypt, but focused on real sports collectibles instead of the usual Pokémon/One Piece angle. • phygitals Physical collectibles connected to digital ownership. Cards and other real assets become easier to trade, track and move through crypto rails. • Artifacte A broader collectibles and RWA project. Cards are part of the picture, but the angle extends into luxury collectibles and gacha-style mechanics powered by Collector Crypt. • BONKUJI An onchain oripa-style project for Pokémon/One Piece grails. The distinctive part is the connection to the wider BONK brand and culture, which makes it feel very native to Solana. • Token Rips Not really TCG, but worth including for the pack mechanic. Instead of opening packs for cards, users open packs for Solana tokens. Same “rip and reveal” behavior, different prize layer. • PokeRescue A Pokémon-focused collector tool around graded cards and NFTs. More about discovery, alerts and finding opportunities than classic pack ripping. • CollectorRoll 1v1 Pokémon pack battles on Solana. Two players open packs against each other, and the best pull wins the pot. • Slabz A Solana collectibles arcade. Games, packs and real cards, with more going on after the initial rip. • dm.fun A broader Solana consumer app with pack ripping inside. Chat, trade, meme, predict and open Pokémon packs in the same app. • Rosentica: One Arena A gameplay layer for TCG collectors. Online battles with real-world TCG cards, built with MagicBlock and powered by Collector Crypt. • TheCollectorGroup Live pack ripping with a Solana-native feel. Buy, queue, watch the rip on stream, then view or redeem cards through the site. • Pull.Fun Graded slabs with verifiable odds. Inventory-backed pulls, instant settlement and trade/redeem mechanics. • RipRip.io A straightforward digital-to-physical pack model on Solana. Open packs online, then ship or redeem the real cards. • Solflare - The Solana Wallet - Not a TCG project but Solflare Packs matters because it brings pack opening directly inside a crypto wallet (powered by Collector Crypt) Multi-chain and Solana-supported 👇 • Packy.GG A multi-chain pack platform for Pokémon/One Piece collectibles. Packs, races, battles, raffles, buybacks, withdrawals and SOL support. • Beezie A tokenized collectibles marketplace expanding into Solana. The arcade angle stands out: claw machines, transparent odds, authenticated collectibles and redemption. • DYLI A broader collectibles platform. Collect digitally, own physically, ship globally. More marketplace/infrastructure than pure TCG app. • Shiny A broader collectibles and entertainment platform. Less focused on one mechanic, more on the collector experience around cards and related assets. • Monster A trading card collecting platform with an active pack-opening experience. Focused on making trading cards easier and more fun to collect online. • Grailed Digital packs and pack battles around collectible cards. The focus is on opening packs, competing with others and shipping the real cards. • Verity A premium collectibles platform with provable ownership. Still early, but already experimenting with gacha-style drops and physical collectible ownership. Which one have you tried? And which one caught your attention the most and why?

Sailor

21,893 views • 2 months ago

growing your Twitch stream means posting short-form video on TikTok/Shorts/Reels. love it or hate it, that's the reality now. "at least one video a day" you hear everywhere. you probably already know this. you probably feel guilty for not posting enough. THAT ENDS NOW Shortify was just released into Early Access, and it changes the dynamic entirely. you already create mountains of content every time you go live. you just need help getting it out. the Highlight Hunter from FrostyTools already does incredible work finding those great moments for you at the press of a button. now, you can Shortify any of those hunted clips into a postable vertical video for short-form content, complete with dead air removal, advanced captions, attention-keeping cuts, and dynamic focus. these are the "daily vitamins" of content. you have to keep up with them every day, but they bring huge benefits when you do. you probably just don't have the time to keep up with it, especially if you're still learning how. it doesn't have to be like that anymore! if you're already editing, this can free up your time and focus to work on more ambitious projects, especially longer-form content. using it is SUPER easy: - sign into your FrostyTools dashboard via your Twitch account - run the Highlight Hunter on one of your VODs (or go to a hunted VOD if you already use it) - hit the 'Shortify' button on the moments you like best for your socials - in a minute or two, have your Shortified video ready to download and post! remember: you already make tons of content, you just need tools to get it out!

Ken aka Frosty

90,499 views • 6 months ago

FRESH ALPHA FROM THE OVEN, BAKED BY NEARWEEK Here's the alpha you need! 🔽 Renamed is ramping up for Meme Season 2.0, starting on May 1st. Find out more here: Meanwhile, Meteor Wallet is allocating 1,000 $GEAR to be distributed randomly to stakers on May 1st. Jump DeFi has partnered with Edge Video AI to host the exclusive $FAST public sale, which begins on April 26th at 3 PM UTC at Edge Video AI supports content creators in monetizing their creations. They've kicked off their journey with a Sticker Pack Contest offering a $500 prize in $FAST. $FAST will launch in the first week of May, followed by an airdrop after the TGE. DeltaTrade will soon go live on the mainnet and will rebrand as DeltaTrade. A meme trading contest will be held featuring all respected memes in the #NEAR Ecosystem. Concurrently, DeltaTrade will launch their point system. The existing referral links for the Intear moved to @intea_rs bot will be migrated to INTEAR Pay, and airdrops are confirmed. At the same time, IntearBot has launched Xeon, which is part of a larger ecosystem and infrastructure initiative within INTEAR, all accessible through a Telegram bot. MITTE is about to launch their latest campaign, 'The Invasion,' in collaboration with meme tokens existing in the #NEAR Ecosystem. MITTE is committed to rewarding the community that actively engages with them and other meme projects in the ecosystem on social media. Survival Is Near 🐝 is set to launch 'The Meme Maze,' a Metaverse Quest where participants race against time and each other to hunt for airdrops and complete tasks to secure a limited edition SIN Alpha NFT. Rogues is running daily streaming and gaming sessions on their Discord server at They are giving away Rogue Genesis NFTs and NEAR tokens to participants daily. Aurora has listed its native token $AURORA on WhiteBIT, and a Trading Competition will be live soon! Follow Aurora and WhiteBit, and turn on your notifications for updates. MOONSHOT will be hosting the MoonShot Mania Game with a prize pool of $250 USD and 1 Moonshot NFT! Users can participate with $NEAR, $NEKO, $GEAR, $ASAC, $LONK, $BLACKDRAGON, $SHITZU, $BEAN, $UWON, $NDC, and $NEARVIDIA tokens! It starts on April 27th at 5 PM UTC. For more details, visit Wojak is looking forward to using the functionality of the new Intear moved to @intea_rs bot, Xeon. Plato's race to collect $FAT has begun in Vietnam! Users can now "Eat & Drink" with the app and receive $FAT. The top 10 users with the most $FAT by May 5th will receive $10 worth of $FAT each. For more information, visit Slushonnear campaign: Those who buy $10 worth of $SLUSH will be eligible to win a Slushin Beauty worth 5N. @SenderLabs hosts daily quests through Sender DAO, where users can complete tasks and become eligible for future #airdrops based on a point system. Read more at NameSky | NEAR account marketplace has launched the $SKY token, with 50% of the supply being distributed to the community. Part of this 50% will be allocated for the #airdrop. Stay tuned for more alpha updates next week, and don't sleep on the NEAR Alpha Show Recap dropping later today to catch all the biggest announcements of this week's space with SWEAT💧 and Edge Video AI! 🔮 Remember to subscribe to NEARWEEK for weekly updates from the NEAR Protocol ecosystem directly to your inbox 🫳

NEARWEEK

102,521 views • 2 years ago

Information about tomorrow's launch of the #FM26 3d stadium megapack! First off, really freaking hyped for it, but it is also making me a bit nervous! Been a month in the making now and super cool to see it rolled out and well over beta, but for everyone is really different! Well, this post will contain info on how I roll it out tomorrow. Release time: So I have made the decision to launch the megapack at around 12:00 tomorrow Central European Time. Gives me a bit of time to get up, do final checks and that. Support: I will be streaming for the hours following on from that with the stream starting at about 11:30. I'll be there, probably making stadiums and providing support. I will also release a simultaneous video at 12:00 on my own YouTube channel. In that I will go over the process of installation, some customization you can have and how to do them, as well as chat about current challenges and planned features. Features: The pack features an initial 120 stadiums from (mostly) the top 5 European Leagues. Furthermore, there will be certain stadiums from South America in it for the first version. For more information, consult the google sheet in the follow up post below. It contains a custom made crowd system which has seen a significant performance boost causing nearly no stutters or lag, even on older hardware. The animations might look janky, but they will be worked on during post release support and updates. Bugs: Considering my level and skill in programming, it was only going to be natural that bugs would happen. I have not received any mention of either game breaking, save corrupting or other catastrophic errors. The bugs are relatively minor such as the position of the ball not always aligning or the referee and linesmen disappearing for some reason. Just like the animations of crowds, they will be ironed out over time. If you come across a bug, feel free to let me know, but do so respectfully please :D I also need to stress again, that it will not work on macbooks with apple silicon, and steam deck is still experimental. I will therefore not provide technical support for issues related to apple silicon. FAQ: Some frequently asked questions are: - Will it be free? Yes. 100%! If you see it somewhere and they're charging for it, step away, (kindly) report it to me and I will take the required actions if need be. My mods will always be free in its core, with you having the option to send a donation if you wish to do so! - Will it work on #FM24? No. Plain and simple this will not work in FM24 due to the difference in game engine. - Do I need to start a new save? Nope! Fully compatible with your saves as well as match history. So if you won the final of the UEFA Champions League in your home stadium, you can replay it with your ground ;) this is also the case for saves from FM23 and FM24. Lastly, this has been a mammoth effort, but could not have been done without the support from everyone who has been involved. In the google sheet from earlier there is a credits page and if I forgot to put anyone on there, let me know and we'll get it sorted because this has been a huge collaborative effort from so many people on the background and the talented #PES modders. Just insane!! You guys will all get a mention on here too in a follow up post. Thank you everyone 🫶

BassyBoy

64,420 views • 8 months ago

What's next for OpenTUI? Here's a technical write-up. Over the last few months OpenTUI gained a lot of stability improvements, new unnecessary but fun features like live audio streaming, and useful features like rendering to the scrollback buffer mixed with a live TUI, called footer mode. Overall the feature set enables building large and complex applications. React and Solid make it super simple and convenient. There is still so much to do though. Three big milestones we have set out to achieve are: - Moving most of the behavioural logic currently living in TypeScript down to the native Zig core - Node compatibility - Optimizing the hell out of primitives like text rendering The render tree mechanisms are currently only usable from TypeScript. Think of the DOM, but controllable like a scene graph. Elements in the render tree are called renderables. They can expose a render method to draw themselves. All renderables are derived from a BaseRenderable. Renderables and the render tree will become native primitives. Building blocks usable from any language bindings. Reducing the TypeScript bindings to a very thin layer, with all the behavioural logic living in the native binary. Moving this down is not just a matter of porting TypeScript classes to Zig. TypeScript currently owns the tree, dirty-state propagation, layout reads, culling, and render ordering. If it still has to walk every node and call into native code for each step, we keep most of the complexity and add FFI overhead. Whole passes and their state need to move together. We took a big step towards this recently by building yoga-layout into the native binary. It exposes part of the official yoga-layout TypeScript package via FFI. Only the API surface that is actually used by OpenTUI. Covered by the test suite of the original yoga-layout package. This already gave a median speedup of ~2.5x, and up to 30x for narrow scenarios. The yoga-layout integration is useful beyond the speedup. Built-in text and editor measurement can now happen entirely in native code during layout instead of calling back into JavaScript. I ran an experiment last month taking this even further, having GPT 5.6 port yoga-layout from C++ to Zig, which gave extremely good results. It would be a burden to maintain right now though, so that's off the table for now. I might come back to it. Simon Klee is working relentlessly on Node compatibility and already has a full Node version of OpenCode running. Node got FFI support in v26.4.0, thanks to help from the Node community, namely Matteo Collina and Paolo Insogna. Behaviour and interfaces seem similar between Node and Bun, but there are some major differences. To get the best performance out of the Node FFI implementation, its usage has to follow some rules. Node has three ways to call native functions: the generic C++/libffi path, the SharedBuffer path, and the V8 Fast API. The generic path converts every argument in Node's C++ layer and then calls the function through libffi. It is flexible, but also the slowest option for frequently called functions. The SharedBuffer path is a middle ground. JavaScript writes scalar values and BigInt pointers into a small per-function buffer, reducing some conversion work. The actual native call still goes through libffi though. Typed arrays used as pointers cannot be packed into this buffer and fall back to the generic path. The path we really want is the V8 Fast API. Node generates a small machine-code trampoline for the exact function signature, allowing optimized JavaScript to call the native function without going through the generic converter or libffi. This only applies to JavaScript-to-native calls. Callbacks from native code into JavaScript still use libffi closures. Getting onto this path is quite strict. A signature can have at most eight arguments and everything must fit into CPU registers. x86-64 Unix systems have room for six GP (general-purpose) and eight FP (floating-point) arguments. AArch64 has room for seven GP and eight FP arguments. Anything that spills onto the stack falls back to a slower path. These are Node fast-path restrictions, not general FFI restrictions. Bun also does not support passing structs by value through its current FFI API. OpenTUI uses bun-ffi-structs to pack ABI-aligned struct data into an ArrayBuffer and passes a pointer instead. Despite the name, the package also works with Node. Pointers need some care too. Typed arrays and ArrayBuffers normally have to be resolved into BigInt addresses first. Eligible functions with exactly one pointer argument get another Fast API entrypoint that can extract the address directly from the buffer. An eligible signature is still not enough. V8 has to optimize a direct call with a fixed number of consistently typed arguments. Wrappers that collect arguments and forward them using spread or Reflect.apply can hide that call shape and keep the function on a slower path. The practical rules are: keep hot signatures within register limits, use direct fixed-arity calls with stable argument types, reuse owned buffers safely, and batch small operations. Then measure the real call site, because eligibility only makes a function fast-capable. We have to design the ABI around these constraints where it makes sense and gives the expected performance improvement. The third big area is text rendering. Today a Text renderable accepts a string, StyledText, or a tree of TextNodes. Before rendering, the TextNode tree is walked and flattened into styled chunks. Those chunks are packed in TypeScript, sent through FFI, copied into a native TextBuffer, and stored in a rope. Styles are represented separately as highlights. A TextBufferView then wraps the rope into visual lines, which are drawn into the visible buffer. This works, but updates are much more expensive than they should be. setStyledText effectively throws away and rebuilds the rope, copies and reparses all text and recreates the style highlights. Changing one TextNode also walks and flattens the complete tree before going through this path again. Text and style segments should instead live directly in the rope and support incremental replacement. Memory ownership is split between retained JavaScript buffers, the native memory registry, rope arenas, wrapping caches, styled-text storage, and highlights. Different operations preserve or reset different parts of that state. This is hard to reason about and can retain memory for much longer than expected. Text storage needs clearer ownership, with fewer lifetimes split across JavaScript and native code. The public API reflects the same split. The t template literal is convenient, but creates another intermediate chunk representation that is mutable, not cached, and not merged. Text also maintains both StyledText content and a special TextNode tree, which do not compose properly. TextNode is only a style scope, not a normal layout primitive, so Text renderables cannot naturally compose inside each other. I think this should become one Text primitive backed directly by rope segments. The template literal API might disappear or become a very thin helper around those native segments. Editing has another temporary layer in TypeScript. Extmarks currently monkey-patch editing operations, scan and adjust all marks after changes, maintain their own undo state, and recreate native highlights. They should become native marks anchored directly in the rope. A proper mark tree, similar to Neovim's marktree, could update marks together with edits, undo, and redo, and provide the foundation for highlights and concealment. Text wrapping has also become too complex. Supporting CJK, emoji, combining characters, ZWJ sequences, tabs, and different terminal width rules currently mixes byte offsets, grapheme indexes, and display-cell columns across several custom algorithms. Dirty views rewrap the complete document. Measurement and drawing can repeat some of the same work. The wrapping implementation needs an overhaul, but the exact shape is still open. The goal is to make Unicode handling easier to maintain, avoid repeated full-document work, and clearly separate byte offsets, graphemes, and terminal display cells. None of this will happen as one big rewrite. We will replace pieces when we understand the problem well enough and when the result is clearly simpler, faster, or more useful. To achieve all of this we might break public interfaces. Thanks to OpenCode and a lot of good models, migration to a new version with breaking changes mostly is not an issue anymore. What do you want to see next for OpenTUI?

kmdr

29,430 views • 1 month ago

Fans tracked down a hotpot restaurant from the drama set and chatted with the owner. He shared a stream of unfiltered stories that are pure gold ✨ 💦 The Water Fight. “I was watching their water fight and blurted out: “Hey, your water stinks!” It was pitch black, I’m telling you! 😂 The pool was old and hadn’t been cleaned. Leizi was right there and saw they hadn’t even started yet, but the water truck driver was already yelling: “Hold on! Let me finish with this water first - I’ve got other places to be!” I rode over on my scooter from that bridge and just sat there watching 🛴👀. The second I lifted my phone to record, they shooed me away 🙈. Someone from the crew shouted: “You’re such a pest!” And I shot back: “Takes one to know one!” They all knew me by then 😅.” 🍭 Yueyue and the sugar figures. “That day, Yueyue was standing there filming how they make those blown-sugar figures. I was behind the container chatting with him (the owner). They had this huge lighting panel and I accidentally kicked the plug out with my foot 😳! The cameraman goes: “What happened?” And Yueyue immediately points at me: “He messed up! He pulled it out! Punish him!”😂 I’m like: “It wasn’t me!” And he says: “I’m calling the director right now to scold you.” So I just turned and left 😅. That’s just his personality - what you see is what you get, and it’s honestly kind of endearing 💖.” 🚬 Cigarettes: “Those two were always together at the convenience store - one drinking his water, the other smoking his cigarettes. The store owner even knew they smoked “Kuanzhai” (28 yuan a pack). Later, he said they were out. And one of them (probably Leizi) goes: “I’ll give you 50 for it.” Can you imagine? Fifty for a pack - talk about premium cigarettes🔥. So funny.” 💬 The Conversations. “I asked him (Yueyue): “How old are you?” He just said: “How old do I look?” - never gave me a straight answer 🙃. I said: “Why are you wearing a hat in this heat?” He took it off and went: “Look - bald. Not a single hair.” 😆 Later, he hits me with: “Why do you think your restaurant isn’t taking off?” I said: “Dunno.” And he goes: “I think you’re even more annoying than I am.” Hahaha! The director who was resting nearby told me: “You’ve got a really outgoing personality. If you were ten years younger, you could’ve been in movies .” I joked back: “Ah, come on, I’m just an old piece of overcured bacon now 🥓😂.” “When they were packing up to leave, I said to them: “You guys aren’t really acting, are you? (You seem for real.)” They didn’t say anything - just stayed silent. But Yueyue over there talked a mile a minute 🗣️💨. Then he asks me: “Can you get rich running a hotpot place?” I said: “Nope.” So I asked him: “Can you get rich acting?” And he fires back: “Look at me - I’m so poor I don’t even have eyebrows left.” Hahaha 😂😂!”

Littlecorn🌽

19,274 views • 8 months ago

Just pulled up Olipop's landing page after seeing their ads everywhere lately and I need to break this down because this is one of the cleaner DTC pages I've seen in a while. Here's what's actually happening when you land on this page and why it converts cold Facebook traffic better than 90% of ecom brands right now: 1) The first 3 seconds Before you read a single word, there's a video of the product being poured, fizzing, bubbling and condensation on the can with no voiceover or text overlay. Your brain processes that faster than any headline ever could. You can almost hear the fizz. That's intentional. They're triggering a sensory response before your logical brain even wakes up. Then the headline hits. "A New Kind of Soda." Now that's a category repositioning. They're not saying "healthy soda" or "better soda." They're saying the entire category you grew up with needs a new version and this is it. Sub-headline says high fiber, less sugar. Targets exactly the person who clicked the health-focused ad on Instagram. Message match is perfect. The person who clicked the ad lands here and immediately feels like the page was made for them. 2) The product carousel Most brands mess this up by showing you the product and making you go through three more pages to add it to your cart. Olipop lets you hover over any flavor and an "Add 12 Pack" button appears right there. One click. Done. You never leave the homepage. That little micro-interaction is doing serious conversion work because every extra click you require is a percentage of buyers you lose. They basically short-circuited the whole buying process and most people don't even notice it's happening. Star ratings under every flavor. Smart. You're not waiting until the reviews section at the bottom to see social proof. It's right there next to the product at the exact moment you're deciding what to buy. Then there's the "Limited" and "Out of Stock" tags on certain flavors. This is a psychological move that a lot of brands either don't use or use badly. When you see Shirley Temple is sold out your brain immediately thinks this must be good enough that people are actually buying it. And now you're looking at everything else thinking you better grab it before it's gone too. 3) The retention play At this point you haven't bought yet and they already know some people won't on the first visit. So right here they drop the rewards program section. Trade your email for perks and points. They're not letting you leave empty handed. Either you buy today or you give them your email so they can bring you back. Both outcomes work for them. Then comes the subscription nudge. 15% off. Free shipping. Cancel anytime. Three objections handled in one sentence. 1. Too expensive? 15% off. 2. Annoying to reorder? Free shipping straight to your door. 3. Scared of being locked in? Cancel whenever you want. That's a complete objection removal stack built into what looks like a simple banner. The people who weren't ready to buy a 12-pack today are looking at that and doing the math. 4) The press section Bloomberg. Forbes. BuzzFeed. Mindbody. This section exists for one reason. You clicked an ad from a brand you'd maybe seen once or twice before. You don't fully trust them yet. These logos close that gap in about half a second. It's institutional validation. You don't need to read the articles. Just seeing the logos tells your brain people with real credibility have looked at this and thought it was worth covering. Background behind this section is a high-res macro shot of condensation on the can. Cold. Refreshing. Premium. Even the section design is doing sensory work. 5) The overall lesson What Olipop figured out is that a landing page for Facebook traffic has one job. Close the trust gap between the ad and the purchase as fast as possible without losing the energy the ad created. Every section of this page does exactly that. Sensory hook gets you in. Category positioning tells you what it is. Carousel with inline add to cart removes friction. Social proof and scarcity show demand. Subscription offer removes price and convenience objections. Press section provides institutional trust. By the time you hit the footer you either already bought or you gave them your email. That's not a landing page. That's a conversion machine. If your page isn't doing all of this right now, that's where your revenue is leaking. Not in the ads. In what happens after the click. DM me ‘FUNNEL’ and I'll show you exactly how to build something like this for your brand.

Nick Theriot

26,389 views • 5 months ago

MrBeast found four other lunatics online. Three college dropouts. One high school dropout. One guy who quit his job. They talked on Skype every day for 1000 days straight. 7am to 10pm. Then sleep. Then do it again. One of them became the biggest YouTuber on the planet. He spent 10 minutes explaining what they studied: Here's why having the right people accelerates everything. "Imagine working solo. 12 hours a day for a year. You make a mistake, you learn from it. You grind." "Now imagine four friends equally grinding on something similar." "Friend one makes a mistake on Friday. Teaches the other four. Friend two makes a mistake the next week. Teaches everyone." "You're all learning from each other's mistakes. Constantly studying 24/7. Downloading each other." "After a year, you're like 2 years ahead of the guy who was solo." They studied thumbnails obsessively. "We'd take a thousand thumbnails and see if there's a correlation between the brightness and how many views it got." "Something a lot of people forget: on phones, thumbnails are really small. People edit thumbnails full-blown on their computer. When you shrink it down, you can't see anything." Your title and thumbnail set expectations. Then you must exceed them. "At the very beginning of the video, to minimize drop off, you want to assure them that those expectations are being met." "If you're putting a million Orbeez in a pool, don't start the video with you shopping for your mom's birthday present." "Just say: this is 100 million Orbeez. We're going to fill this pool and this entire backyard with them." "Match the expectations. Then exceed them. Blow their mind. Be like: you're also getting even more." Anyone can clickbait. The difference is delivery. "We say we put 100 million Orbeez in the backyard. We put 100 million Orbeez in the backyard." Here's the algorithm truth no one wants to hear. "Anytime you say the word algorithm, just replace it with audience." "The algorithm didn't like that video? No. The audience didn't like that video." "If you're not retaining a viewer, would it make sense to promote it? Why would you promote a 10-minute video that people watch on average a minute and a half?" "Literally all the algorithm does is reflect what the people want. If you deny that, you just make terrible videos and are trying to find a scapegoat." His reinvestment strategy was relentless: "For the last eight or nine years, every dollar I've made, I just spent it the next month on content." "I just did that every single month. It just kept getting bigger and bigger. And here we are." Meanwhile, he lived in a $700/month duplex. Split with a roommate. $360 each. "Living your life chasing a nicer and nicer car and a bigger and bigger box to live in is kind of a dumb way to go about life." He only moved because someone broke in and stole everything. "I had to get a little nicer house for security reasons." On obsession: "Since I was 13, there probably hasn't been a single hour that's gone by that I've been awake where I haven't thought about YouTube." "I'm just focused on making the best videos possible, period." "I don't care about making money. I don't care about time. I just want to make the best videos on the planet." The effort is insane. "Sometimes we're filming for 3 or 4 days. 10 hours a day. 30, 40 hours of filming plus months of setup." "Most creators probably film for a couple hours and set up for a day." "We brainstorm video ideas relentlessly. Hours every day." "By always doing all those things, it just distinctively sets it so far apart that in my head it's like: why would you not watch it?" Viewers aren't stupid. "They can tell when you half-ass a video or if you really put in effort." "If they can tell you're putting in a lot of effort, they're going to be more likely to click on future videos." "Once you build that trust, they get to a point where it doesn't matter what you upload. They just know it's high effort. They're just conditioned to watch because you have a good track record." On why most creators burn out: "A lot of people aren't willing to put in 10-hour days because they don't like what they're doing." "If you don't enjoy it, you're going to burn out. You're doing this for years, not months." "I just had the blessing of finding what I loved at a young age." "To get to this level, it takes a decade. Most people don't find what they love till their young 20s. So they'd be where I'm at in their 30s." "I just lucked out and found it when I was really young." One insight changed everything: "Only 10% of the world speaks English. 90% of the world can't even watch your content." "When I realized that, I was like: wait a minute." "We started doing dubs like 6 months ago. It's crazy how viral some of these videos go. 51 million views in Spanish." "The guy who does my dubs is the same guy who dubs Spider-Man." Here's the math most creators get wrong: "It's much easier to get 5 million views on one video than 50,000 views on 100 videos." "Takes way less effort." This 10 minute video will teach you more about content, obsession, and why most creators stay small than every course combined. Bookmark & give it 10 minutes today, no matter what.

Jaynit

71,945 views • 4 months ago

The new Google Search is rolling out. Information Agents are now appearing inside AI Mode. These agents operate in the background 24/7, continuously monitoring the web for information matching the customer’s exact requirements. When something relevant changes, Google can send them a detailed update with links to the web. For businesses, this changes things a lot. Let’s go through it together. And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here. It’s free: Google originally announced Information Agents at Google I/O in May. They are now available across all AI Mode languages and markets for Google AI Ultra subscribers. Google says access will expand to more people this summer. The process is fairly simple in that a user tells AI Mode what they want to monitor. For example: “Keep me updated when a new apartment matching these requirements becomes available.” “Alert me when one of my favorite athletes announces a sneaker collaboration.” Another possible use case could be: “Tell me when this product comes back in stock.” Google’s agent then works in the background and sends an update when it finds something relevant. Google says Information Agents can monitor: Blogs News websites Social posts Other web content Real-time shopping information Finance data Sports information The agent searches for changes related to the user’s specific question. This creates a new type of search visibility. A customer no longer needs to return to Google and repeat the same query every week. They can describe what they need once and let Google monitor the web for them. For businesses, that creates opportunities to appear after the original search has ended. Imagine someone tells Google: “Keep me updated on payroll software that adds better support for construction companies with employees and contractors.” Several weeks later, your company publishes: A new contractor-payment feature A construction-specific product page Updated pricing A QuickBooks integration A customer case study A comparison with another payroll platform Google’s agent may encounter that information while monitoring the topic. Your company can reach the customer at the moment your product becomes more relevant to them. This is my interpretation of what the rollout means for businesses. Google has not disclosed exactly how Information Agents select which pages or companies to include. But we do know the updates can contain links to the web. That creates a potential traffic opportunity for businesses publishing information that closely matches what customers are monitoring. A vague announcement such as: “We are excited to introduce several powerful improvements.” gives Google less specific information to match against the customer’s request. A clearer announcement might say: “Our payroll platform now supports automated contractor payments in all 50 states. The feature is available today on plans beginning at $149 per month and integrates with QuickBooks Online.” That gives the agent specific facts it can match to the customer’s request. This is where SEO Stuff’s done-for-you package becomes relevant: The package combines 10 AI-search-optimized articles with three DR50+ authority placements. The content can cover: New products and features Industry-specific use cases Pricing Integrations Comparisons Customer results Frequently changing information The authority placements reinforce the company’s identity, category and claims across other credible websites. Google has not said that Information Agents directly measure Ahrefs Domain Rating or backlinks. That connection is my interpretation of how businesses can become easier for Google to discover and verify across the web. Information Agents also make freshness more commercially important. A page published two years ago may still rank well. But if it has not been updated, it may not tell Google about: A newly launched feature A recent price change A product coming back in stock A new service area An updated integration A current customer result A newly published report Businesses need a system for keeping important information current and publishing meaningful updates when something changes. This does not mean publishing a constant stream of thin announcements. The update still needs to contain something genuinely useful. That could include: New product information Original research Current pricing Inventory changes Industry data Detailed case studies New integrations Updated comparisons Specific customer results The Premium Content Bundle can help build that broader information footprint: It includes 60 long-form articles mapped across the questions, comparisons and use cases surrounding a business. The goal is to create useful pages covering the different needs a customer may ask Google to monitor. One customer may care about pricing. Another may care about a specific integration. Another may be waiting for a feature. Another may want a product designed for their industry. Another may want evidence that the service works. Each page creates another opportunity for an Information Agent to discover the business while monitoring the web. This rollout also makes brand consistency more important. Google may encounter information about your company across: Your website News coverage Social posts Industry publications Review websites Comparison pages Customer discussions If those sources describe the company differently, Google has to determine which information is current and accurate. Clear and consistent information gives the agent stronger evidence to work with. If I had to reduce this rollout to one core idea, it would be this: Search is becoming continuous. The customer describes what they need. Google monitors the web in the background. A relevant change can trigger an update. That update can include links to supporting websites. For businesses, visibility increasingly depends on being discoverable at the moment something changes. That requires: Current product information Clear positioning Specific feature and pricing details Useful industry content Meaningful updates Consistent third-party validation Pages worth sending the customer to The businesses that benefit most will make it easy for Google to understand what changed, who it matters to and why the customer should care. This is the system SEO Stuff was built around: And if you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:

Alex Groberman

35,694 views • 2 months ago

Made this video with GPT IMAGE 2 + seedance 2.5 Prompt ⤵️ DURATION: 30 seconds ASPECT RATIO: Use the video's available landscape/cinematic ratio. STYLE: Ultra-photorealistic live-action cooking and lifestyle vlog, premium food-commercial cinematography, realistic human behavior, natural hand movements, realistic cooking physics, authentic home atmosphere, cinematic lighting, subtle handheld camera movement, realistic food textures, natural skin and hair. REFERENCE ASSIGNMENT: irene galbraith = FEMALE CHARACTER ĐI MДGĐ = KITCHEN ENVIRONMENT imogen = INGREDIENTS AND COOKING SETUP CurlyQ2 = COOKING ACTION silvercoupe = FINISHED CREAMY CHICKEN PASTA @IMG6 = DINING SCENE Use all uploaded references consistently. CHARACTER CONSISTENCY: The SAME woman from irene galbraith must appear throughout the entire video. Preserve her exact face, facial features, hairstyle, skin tone, body proportions and overall identity. Do not change her appearance between scenes. Preserve the same casual home-cooking outfit from irene galbraith. FOOD CONSISTENCY: The dish throughout the entire video is EXACTLY the creamy chicken pasta shown in imogen and silvercoupe. Maintain the same pasta, chicken, mushrooms, cherry tomatoes, cream sauce, parmesan and parsley throughout. Do not change the dish between scenes. --- 0–4 SECONDS — PREPARATION Use ĐI MДGĐ and imogen. The woman enters the kitchen and approaches the countertop. The ingredients for creamy chicken pasta are neatly arranged in front of her. She looks over the ingredients and begins preparing dinner. Camera starts with a natural medium-wide kitchen shot and gently moves closer. Show the real home environment. --- 4–9 SECONDS — CHOPPING Use imogen and CurlyQ2. The woman places vegetables on the wooden cutting board. She carefully chops garlic, onion and mushrooms with a kitchen knife. Show realistic hand and finger movement. Include a brief close-up of the knife cutting the vegetables. Vegetables naturally separate as she cuts them. Return to a medium shot showing her focused expression. Keep the action smooth and believable. --- 9–15 SECONDS — COOKING Use CurlyQ2. She places the pan on the stove and adds a small amount of olive oil. She adds the prepared chicken and vegetables into the hot pan. A realistic sizzling sound and subtle steam accompany the cooking. She uses a wooden spoon to stir the ingredients. The chicken gradually cooks while the vegetables soften. Camera moves from a side angle toward the pan. Include a close-up of the food sizzling and being stirred. --- 15–20 SECONDS — CREAMY SAUCE & PASTA Continue using CurlyQ2 and imogen. She adds the creamy sauce ingredients to the pan. The sauce mixes naturally with the chicken and vegetables. She adds the cooked pasta. She gently tosses and stirs everything together. The creamy sauce coats the pasta realistically. Steam rises naturally from the pan. Show a satisfying close-up of the finished creamy texture. Do not rush this action. --- 20–24 SECONDS — PLATING Use silvercoupe. The woman transfers the freshly cooked creamy chicken pasta from the pan onto the ceramic plate. She carefully arranges the pasta. She adds parmesan and fresh parsley on top. A small amount of realistic steam rises from the hot food. Camera transitions into a premium close-up food shot. Make the dish look genuinely freshly cooked and appetizing. --- 24–30 SECONDS — DINNER Use @IMG6. The woman sits at the dining table with the finished creamy chicken pasta. She picks up the fork naturally. She takes a small bite. She tastes the food and gives a genuine satisfied smile. She briefly looks toward the camera as if sharing the moment with her audience. Camera slowly pushes toward her and the plate. End on a warm, cozy lifestyle shot of the woman enjoying the dinner she prepared herself. CUT TO BLACK. --- CAMERA PRIORITY: Use natural cinematic camera movement. Wide establishing shots for the kitchen. Medium shots for cooking actions. Close-ups for chopping and sizzling food. Macro-style food detail during sauce and plating. Gentle push-in during the final dining moment. Avoid excessive camera shake. Avoid unnecessary camera movement. Keep the woman and the food clearly readable. --- REALISM PRIORITY: Natural human movement. Realistic hand anatomy. Realistic knife handling. Realistic food physics. Realistic steam. Realistic sauce consistency. Realistic sizzling and stirring. Natural facial expressions. Natural eating motion. No exaggerated movements. No instant food transformations. No teleporting ingredients. No changing kitchen. No changing outfit. No changing character. --- FINAL RULES: Same woman throughout. Same face throughout. Same kitchen throughout. Same outfit throughout. Same creamy chicken pasta throughout. Same ingredients throughout. No different woman. No face morphing. No extra people. No distorted hands. No extra fingers. No unrealistic eating. No cartoon. No anime. No fantasy. No text. No logos. No watermark. The final result should feel like a genuine cinematic cooking vlog filmed inside a real woman's home. Reference Image prompt: Create an ultra-photorealistic premium female character reference sheet using the uploaded woman as the STRICT IDENTITY REFERENCE. IDENTITY — ABSOLUTE PRIORITY: Preserve the exact identity of the woman in the uploaded image. Keep her: - exact face shape - eyes - eyebrows - nose - lips - jawline - skin tone - natural skin texture - hairstyle - hairline - facial proportions - age appearance - feminine body proportions Do not redesign her face. Do not beautify or alter her recognizable features. She must look like the exact same real woman in every view. CHARACTER CONCEPT: Create a realistic modern young woman who will be the main protagonist of a cinematic everyday cooking/lifestyle video. She has a natural, approachable appearance and relaxed confident personality. Create a realistic everyday home-cooking appearance rather than a fashion-model look. OUTFIT: A tasteful modern casual home outfit suitable for cooking dinner: - simple fitted neutral-colored top - comfortable casual trousers - clean natural styling - minimal jewelry - no high-fashion styling - no excessive makeup Keep the outfit practical and believable for a woman cooking at home. CHARACTER SHEET LAYOUT: Create one professional reference sheet containing: 1. Full-body FRONT view 2. Full-body 3/4 FRONT view 3. Full-body SIDE view 4. Full-body BACK view 5. Medium portrait 6. Close-up facial portrait 7. Natural smiling expression 8. Neutral expression 9. Hands and clothing detail Every view must show the EXACT SAME WOMAN. BODY & ANATOMY: Natural realistic feminine proportions. Lean, healthy everyday physique. Accurate human anatomy. Natural posture. No exaggerated body proportions. HAIR: Preserve the exact hairstyle from the uploaded reference. Show realistic individual hair strands and natural volume. PHOTOGRAPHY: Ultra-photorealistic live-action photography. Premium cinematic lifestyle production quality. Realistic skin pores and texture. Natural hair detail. Physically accurate clothing fabric. Soft professional studio lighting. Natural shadows. Subtle realistic depth of field. High-end commercial photography quality. BACKGROUND: Clean warm-neutral studio background. Minimal distractions. The character must be clearly separated from the background. IDENTITY CONSISTENCY: This exact woman will be used as the main character in: irene galbraith Character CurlyQ2 Cooking Action @IMG6 Dining Scene and the final 30-second video. Her face and identity must remain identical across all references and video scenes. IMPORTANT NEGATIVE RULES: No face redesign. No different woman. No face morphing. No age change. No hairstyle change. No masculine features. No exaggerated makeup. No unrealistic body proportions. No cartoon. No anime. No CGI-looking skin. No text. No logo. No watermark. Premium photorealistic cinematic character reference sheet.

Elsa Ai

17,810 views • 4 days ago

About a month ago, a clip of mine went viral⁽¹⁾ talking about the Current State of Twitch (3rd thumbnail in this tweet). It resonated w/ people outside my community, so lemme elaborate (as a 10yr+ Twitch Veteran). Current State of Twitch isn't great and haven't been for a while. I've been passionate about Twitch since inception (I joined in April 2011 in the JTV days, a few months before Twitch debuted in July 2011), and been trying to instill positive change but I'm only a cog in the machine compared to where influence can impact — likely via Amazon-appointed Executives to help "oversee things" at decade-old-acquisition-that-has-still-generated-zero-profit Twitch⁽²⁾. ------------------------------------------------ Twitch's Muddled Identity ------------------------------------------------ Describing Twitch 10 years ago was easy: "Youtube, except always live, for gamers". Now, it's more muddled & fluid, at best: "Always live broadcasters who aim to connect with their viewers and foster communities(?)" — that, in itself, isn't problematic; but how it's accomplished, what methods are most effective, and how certain directories accumulate higher viewership is, I think (I may elaborate further on that in a future tweet). The most common reactive bark I've heard following TwitchCon 2025 is "Ban Politics" or "Make it Gaming-Only Again!" — People forget, but Pokemon GO (June 2016) going worldwide-viral was the crack-in-the-dam that lead to IRL as a directory because of the impracticality of continuing Twitch's "games-only" era as the site was increasing in popularity, reach, and cultural significance. IRL was a band-aid solution for the core function of Directories⁽³⁾ (which was to let would-be-browsers make better-informed decisions on what to watch based on their interest). It's too broad and encompassing, which led to an unintended dopamine-producing⁽⁴⁾ psuedo-ChatRoulette where you "never know what you're gonna see" browsing there. Without a better tool to migrate users or aggregate topical content, this problem exacerbated continuously. Just Chatting was supposed to be the solution, as it came with 11-12 other directories⁽⁵⁾ to attemptedly split the IRL monolith, but failed to inspire Social Behavioral Change tremendously. Just Chatting is more popular than ever, discoverability — like in the broad, functional sense — is busted cuz every genre of content stuffed within it and fails to disincentivize streamers from opting-out of the most popular directory. So, how do you stand-out in the overcrowded field where a fuckton of the viewership goes for a Roulette Pull on something entertaining to watch? ... ------------------------------------------------ The Era of Clout-Farming Content (and the fact it works, ugh) ------------------------------------------------ Once IRL directory came in Sept 2016, so did the meta of skirting the ToS (Terms of Service) to maximize views or push the limits of what was tolerated on Twitch. Fundamentally, the social dynamic of receiving a suspension (everyone generally refers to them colloquially as "bans") earns notoriety and "free vacation/marketing", that when coinciding with a comeback event, open the possibility of a net-positive from the boost in viewership or metrics. This isn't as relevant now because the ToS Enforcement has gotten significant buffs to be more transparent and structural in the last half-decade. I can't speak on the nuance of this now, but "Full-Time IRL Streamers" and "Sweaty IRL Affiliates" were unbearable at TwitchCons until TC Policy cracked down on requiring consent by those they bumrush'd into (while live of course), so I assume they're probably equally as intrusive everywhere else ... then Kick came along in 2022 and dominated the headlines for mischief within this realm, for the most part; but that's a different topic altogether. The burden of an authentic collab can be too much friction, slow moving — and honestly, too much work for a streamer to do — compared to the efficacy of blowing up Streamer x Streamer Conflict via self-commentary-reacts for sensationalism and maximizing parasocial viewers' worst tendencies. Effectively, ragebaiting. I'm not advocating to abolish this as a policy. I'm pointing out how this is a very effective way to garner views within the social constructs — and it shouldn't be, nor always was. Something changed at some point. I don't wanna bore you with a timeline of the last decade of controversy on Twitch, so I'll fast-forward to when I definitively see evidence that Clout-Culture is failing upward: In March 2025, the unbanning of Adin Ross⁽⁶⁾ (on Twitch) I saw as a huge moral failure that reeks of desperation for his views/clout/relevance at the direct expense of the integrity of Twitch Culture. Not sure if that was a Clancy-specific decision or what, but it encompasses "neo-Twitch" or a disconnect if there ever was one. ------------------------------------------------ Twitch Culture is diluting at the expense of recouping revenue ------------------------------------------------ A decade ago, Twitch Plays Pokemon broke news across insular-livestreaming gossip and was celebrated as a pinnacle of internet fandom⁽⁷⁾ (Feb 2014). This event was a testament to the value of Twitch because it reinforced the undeniable power of CULTURE present in Twitch Chats. I don't think the event could've worked on a YouTube Livestream (remember YouTube Gaming, introduced in 2015?). There's a certain aura present in Twitch Chat that makes it feel captivating to interact and engage with compared to a YouTube Live Chat Box. One feels like a close relative of bot-spam'd yt comments and the other feels ... real. I think that value is the culture — what could keep Twitch afloat for a long time, even if YouTube were to hypothetically obsolete Twitch in every way for delivering live broadcasted video content. I've noticed that as the meta has shifted towards revenue-maxxx'ing with the proliferation of Spectacle Events, typically marathons, that are engineered to paywall as many things as possible, at the expense of the content. It's not necessarily a bad thing, but the culture has shifted. I also do think most of the marathon content isn't good; they're carried by being experiences with strong FOMO-factors to compel your participation by viewing. I do suspect there's a saturation point where the combination of the waning niches of livestreaming, 4th-wall-breaking, and manufactured spectacles can keep an audience seduced. Like, the content (in aspects) has less substance and I wonder what that means for the welfare of Twitch Culture and its content in another 5 years. Perhaps Twitch could foresee this and become proactive on the manner?... ------------------------------------------------ Twitch's Conduct & Repetitive Incompetence ------------------------------------------------ Twitch has prioritized generating revenue over addressing the needs of the already-active users for years. Emmett Shear (previous CEO; 2011-2023) probably was a huge reason for sluggish changes overall to the platform as from what I hear but I can't say for certain. Regardless, we got Dan Clancy as CEO and, while there has been lots of positive changes under his reign, it really does feel like "too little, too late" with the pressure looming from Amazon's 2015 acquisition; increased competition and marketshare decline; and declining revenues, active users & monthly streamers"⁽⁸⁾. Here's a brief timeline of features implemented that I feel helped build the culture. Before COVID, I believe the biggest obstacle was helping migrate streamers from being part-time to capable full-time content creators. So, at the time, revenue-generating products were revolutionary to help there, including me at that time: ✅ 2016 — Bits/Cheers & Prime Subs (!!!) ✅ 2017 — Gift Subs (to a specific user) ✅ 2018 — Gift Subs (to randos in Community); Super Subs & Ultra Subs ✅ 2018 — Twitch Mobile App v2 (original mobile app was a constantly broken mess) ✅ 2018 — Twitch Prime no longer adblocks (I will agree how they did it was stupid, but ultimately, it was a necessary; I can defend this in the replies if needed) Comparatively, here's the hostile changes that came at the expense of the Twitch Populous supporting said-change: ❌ 2017 — Communities⁽⁹⁾ (DOA cuz it wasn't streamlined enough and vulnerable to Popularity Bias; I can elaborate in replies if needed) ❌ 2018 — Tags for Channels (DOA cuz anyone can use any tag, diluting the effort of broad categorization or filtering in any capacity) ❌ 2022 — Twitch kills Hosting⁽¹⁰⁾ (also new "craptacular" Offline Page w/ Suggested Channels idea instead) ❌ 2024 — Twitch Mobile App v3⁽¹¹⁾ (Tiktok clone dogshit) ❌ 2024 — Stories (who asked for this?) ❌ 2025 — 100hr Video Storage Limit (going back against Collections & cementing Twitch isn't an evergreen platform; also SHORT NOTICE) ❌2025 — Live Rewind ... paywall'd to Twitch Turbo & Channel Subscribers only (this is free sitewide on yt's livestreams)⁽¹²⁾ ❌ 2025 — Ability to gift 1000 subs at once (already shelved from backlash) Post-COVID, I see a pattern of prioritizing revenue-generating products at the expense of what creators need or ask for. I understand Twitch needs to appease Amazon eventually with profit, but with a half-decade passed, all the buffs I can recall are 2K Resolution Streaming*, Portrait & Dual-Canvas Streaming*, and Stream Together / Shared Chat. *Both of these sortta don't count cuz they're invite-only betas that aren't site-wide and don't apply to non-Partners 🤷‍♂️ While more features arrive that ask for more of your money to partake in the Twitch Experience, I feel like the users (both Streamers & Viewers) continue to be neglected. 10 years ago, I thought YouTube Gaming was DOA; now I anticipate when more people bail on Twitch because the functionality will decay without a compelling reason to stay if the culture dminishes. I'll conclude with the 4th thumbnail included in this tweet — a supercut of a portion from the TwitchCon 2025 Keynote from Dan Clancy, with the youtube dislikes superimposed-over for your enjoyment. Let me know what you think of what I shared today! 🎉🥳 I'm considering also breaking down the specific causes (not symptoms) of why Twitch is where it is, and my 999 IQ Pragmatic Solutions that are tenfold better than what I've seen suggested after this morale fallout following TwitchCon 2025 👀

trihex

17,788 views • 8 months ago

Zack Polanski on BBC Radio 4's Today prog calmly knocking back everything Nick Robinson throws at him across 17 minutes NR (00:00.2), "Delighted to say that Zach Polanski is here in the Today programme studio, for the latest, indeed, for the last of our party leader interviews. Morning to you and thanks for coming in." ZP (00:09.2), "Thanks for having me." NR (00:09.8), "Nick, I want to talk to you about what your party would do if it does indeed gain some power after the votes on Thursday. But I want to begin by putting to you one of the latest storeys about you. A Times investigation says that you've made a series of false or disputed claims about jobs you've had in the past with." NR (00:31.8), "Why, for example, did you say you were a spokesperson for the British Red Cross when they are absolutely clear that, though a supporter of theirs, you were never a spokesperson for them?" ZP (00:42.3), "So I hosted, various fundraisers for the British Red Cross and indeed I would go on stage and speak for them about the amazing work they do tackling humanitarian crises, on the climate crisis and indeed for refugees all around the world. I use the wrong word and I accept that." ZP (00:57.5), "But I would essentially take words on stage with me and speak. It's important, though, and I accept this, that, you know, I don't support any political party and I've made sure that's been taken down." NR (01:06.5), "You say this sort of storey is a fuss about nothing, that you get your facts wrong because it comes up with other examples." ZP (01:11.7), "Well, I think it's totally fine to ask me questions about my past. I would also say in the same breath, though the Times published a pretty anti Semitic cartoon of me last week. I asked them to apologise. And it feels some of these storeys feel like scraping the barrel to kind of go back 10, 15 years. I've had so many friends, I'm literally talking maybe 20 or 30 in the last few weeks who have phoned me and said, a Times journalist has been phoning and they've been desperately trying, trying to find things about your past." ZP (01:36.5), "They asked me lots of questions and seemed disappointed that I didn't have some juicy, dirty gossip." NR (01:41.6), "Yeah, well, there was. Whether you call it juicy or dirty, and it wasn't gossip, it was a fact. The fact that you claimed that as a hypnotherapist, you could enlarge women's breasts using the power of thought. People are entitled to say, what's this guy really about?" ZP (01:57.2), "People are totally entitled to say that. And that's an important part of politics, that people ask you questions. What I would say is that, you know, this was 13 years ago. It was a Sun journalist's idea. I've apologised for that. Because even though it was a son journalist idea, I was an adult and I should have said no, you went along with it." NR (02:12.6), "Yeah." ZP (02:12.9), "It's important to say I wasn't a politician. And I've apologised for it repeatedly." NR (02:16.7), "And the BBC showed that some days later, in fact, you repeated the claim that you could do it. But let us not get bogged down in the past. It is striking, though, that on X last night, when, let's be honest, people who are critics of you are having a go. The Daily Mail calls it the Green Menace on its front page." NR (02:34.1), "How did you react? You said you were under relentless attacks because they, your critics don't want a wealth tax, don't want public ownership. They're trying everything in their power to stop us, you said. It's a curious thing to say, isn't it? Ahead of local elections, Green councillors will not have the power to implement any of those policies, will they?" ZP (02:54.8), "Well, I think the relentless attacks on the Green Party in this election, for a local election have partly been about the local election, but really they're about the bigger picture right now. The bigger picture is when I ran to be leader of the Green party, we had 50,000 members, we've now got 225,000 members. So we are rising." ZP (03:11.1), "And I think lots of people are worried about the prospect. And when I say people, people who own, right wing media, multimillionaires and billionaires who are worried about the prospect that they might have to pay a little bit more tax. And so I think it's important that I focus on the vision and the hope and our actual plan." ZP (03:27.4), "I also think it's a complete reality, though we've seen it in the past before with left wing leaders, that there's no secret, there's no love lost between me and the right wing media. And almost every single day they print things that just aren't true." NR (03:38.8), "But just address the point I raised. Wealth tax councils won't get to do that. Public ownership councils don't get to do that. Well, not entirely. We'll come to that in a second. You are running on a national platform of change that the people who are elected on Thursday, whether in the Welsh Parliament, you don't run candidates in the Scottish one, or in English, local councils simply cannot do." ZP (04:03.2), "Well, I think it's about what are your values as a party? And whilst other party leaders and other parties take donations from oil and gas companies or arms trade companies, private healthcare or gambling, Green Party councillors only have two vested interests and Those vested interests. We want to protect the communities we seek to serve and we want to protect the environment." NR (04:21.6), "Well, let's come to that, then, because most interesting, perhaps, is to look at what Greens say who are running for office. You are not. You are a member of the London assembly, you're not a Member of Parliament, you're not running in these elections. Now, you live in Hackney. Hackney happens in northeast London to be a top Green target for taking control from the Labour Party." NR (04:41.9), "So let's look at protecting communities. For example, on crime, the manifesto calls the Metropolitan Police institutionally racist, homophobic, sexist and misogynists. It goes on to say, greens cannot accept this system. It calls for safe spaces for, heroin users to shoot up, to end cautions for street prostitution and to end what the manifesto calls discriminatory policing of delivery riders." NR (05:08.8), "This is an agenda for an endless fight with the police, isn't it?" ZP (05:12.0), "I don't think so. Baroness Casey, in the last couple of years, did a review into Metropolitan Police and it was actually the findings that found it institutionally racist and misogynistic. Something that Sadiq Khan, the Mayor of London, to his credit, accepts. It is noticeable that Mark Rowley, the Commissioner of the Police, doesn't accept that, yet they continue, to work together in that way." ZP (05:31.1), "On the issue of drug harm, we have the highest drug deaths, of any country in Europe. And every single year for the past 13 years, drug deaths have increased. So I think the question anyone has, and we have in Hackney, is that the war on drugs has clearly failed. It's failed in cities right across this country, and more and more people are, often taking dangerous drugs." ZP (05:50.3), "So do we want people to buy them on the black market or on street corners? Or do we want people to go to a pharmacy or a medical health professional where, if they have an addiction to dangerous drugs, we can work with them to take a public health approach based in harm reduction." NR (06:02.7), "Public health approaches to. Is to legalise hard drugs and to legalise prostitution, you say to legalise and regulate and the regulators. It's still legalised, isn't it?" ZP (06:11.5), "No, the point is you can't just go into a shop and buy drugs, which is how it's presented in the press. Again, because I can keep talking about what councillors can do, rather than what" NR (06:18.3), "you would do if you were Prime Minister, because that's for another interview. Are you saying councillors should cut the police budget? Because that's what it seems to imply when you say, we cannot accept this system, let the council spend Money on crime reduction. Don't give that money to the police." ZP (06:33.7), "It's about reprioritizing. So it's." NR (06:35.5), "Does that mean cut in English?" ZP (06:36.7), "No. So let's look at example. We're straight back onto drugs. A lot of police time is spent on stop and search for cannabis use, for instance. It doesn't escape people's notice that that is often, in the politics of racism, if you're a young black person, I think it's something like you're 18 times more likely to be stopped and searched than your white peer, despite the fact there's no evidence that they're more likely to be dealing or using drugs." ZP (07:00.8), "And so I think it's important that we make sure the police time is spent properly, which I think is about community prevention, about cohesiveness and bringing communities together, particularly in, like, whether it means redirecting the budget." NR (07:11.4), "Does it mean the police budget?" ZP (07:12.9), "Well, it means redirecting within the police budget, so making sure that the time police are spent is spent on community safety." NR (07:18.2), "Well, it's interesting that we talked about police because, as you know, you've come under serious criticism for retweeting criticism of the action of the police officers who stopped the alleged attacker of Jews in Golda's Green. Now, you apologised for retweeting that." NR (07:34.1), "You said you should have a meeting with the head of the Met. You sent him a letter. I want to ask you a different question. You've not apologised for the content of that. Why did you empathise with the attacker, and not with police officers who feared for their own lives and were trying to protect other people's lives?" ZP (07:53.3), "I think there's two things in that that I, really clearly want to say. The first is my very first response to the attack was to be horrif, as everyone was, I'm sure. And the first thing I posted was solidarity to the victim, to the family and indeed, to people who are suffering right now, including as a Jewish man, where Jewish safety is not abstract." NR (08:12.0), "But then you posted that officers were repeatedly and violently kicking a mentally ill man in the head when he was incapacitated by a Taser, caused extreme offence to those officers, to the head of the Met and to many people. I ask you again, why did you empathise, Empathise with the attacker, not with the police officer." ZP (08:28.9), "As I said, there's two things I wanted to say, so that was the first. The second, what I want to say is two things can be true at the same Time officers are incredibly brave when they run towards scenes of crimes that most people, including myself, would want to run away from. At the same time, I think it is accurate, and that I was also traumatised, by seeing, someone handcuffed and completely, repeatedly kicked in the head." ZP (08:51.7), "Now, sure, if you'll forgive me, it is an answer," NR (08:54.4), "but it's not an answer to the question. You posted something with the power that you have, with the number of people who follows us, and not empathising in that post with the Jewish community or critically with the police officers, you empathise with the attacker. Look what they're doing to the alleged attacker." ZP (09:11.1), "I don't think it was your choice. As I say, the first thing I did was show solidarity to the victims and I thank the officers. Second, though, I think the sign of a compassionate society is how we treat people, even people who have done horrific things, because actually, the way we do justice in this country is in court." NR (09:26.0), "You said a key value of the Greens was protecting communities. What are your proposals for protecting the Jewish community?" ZP (09:33.5), "The Jewish community is not safe right now. And as I said, as a Jewish man, this isn't abstract for me. In fact, in the last six weeks alone, two people have been arrested. So how would you protect anti Semitic attacks towards me? I think there's lots that needs to happen in this country. The first is community cohesion and community building. Some of the work that I'm proudest of in London, that I see Londoners do, is where I see the Jewish community working alongside the Muslim community." NR (09:55.1), "What would you do? What would Zach Polanski do in order to reduce attacks on the Jewish community?" ZP (09:59.9), "So, first of all, to invest in that work, that community, faith work, to make sure communities stand together. Second, to make sure that the Jewish community, give them the investment that they need. In fact, what the Prime Minister has been doing to make sure that happens. I do think a police response is the last response when everything before it has failed." NR (10:17.6), "I still think you're not really answering the question about what you would do. Let me ask you this." ZP (10:21.0), "I think I do." NR (10:21.6), "Would you deal with, for example, a candidate who says Jewish people fear hate because they know they should be hated. Another one who suggested that the attacks on the ambulances was a false flag and carried out, presumably by Israel. Another of your candidates who blamed Israel for the Bondi beach terrorist attack." NR (10:41.0), "A fourth candidate who said Donald Trump was, quote, owned by Jews. And most horrifying of all, although this individual has now been arrested, one of your candidates who Reposted something saying ramming a synagogue isn't anti Semitism, it's revenge." NR (10:56.8), "What are you, Zach Polanski doing to end these disgusting messages?" ZP (11:03.5), "Those messages are all unacceptable and it's important to condemn that. The Green Party are an anti racist party and it's important that we stick to our values." NR (11:11.0), "We can't just say the words were an anti racist bar to. And I've just read you out five of the most revolting comments at a time when, according to an independent advisor, we face a national emergency of anti Semitism. I'm asking you, you're not responsible for everything they say. Of course you're not." NR (11:26.3), "You can't be." ZP (11:27.3), "I am responsible, actually." NR (11:28.2), "What are you going to do about it?" ZP (11:29.0), "I am the leader of a party. I was about to finish my sentence." NR (11:31.5), "Forgive me. Go on." ZP (11:32.4), "We're an anti racist party. And so what I've already committed to doing is making sure that we have a standardised vetting process in future. And also make sure that we have compulsory training of all our candidates to make it clear that anti Semitism is completely unwelcome in the Green Party as it is in society. It is also important to say one case of anti Semitism is one too many." ZP (11:50.5), "This is a handful of cases and actually we have over 4,500 candidates, the vast, vast majority of which are doing amazing work in their communities right now, going out there to tackle the cost of living crisis, to make sure that we're funding public services and making sure that it's about people power and community, grassroots power." NR (12:05.1), "You can dismiss one or two as, just, unrepresentative. I've just read five. I could have read 20 cases of revolting anti Semitism posted by your candidates. Now you're a new leader, how are you going to avoid becoming the new Jeremy Corbyn of British politics?" ZP (12:21.5), "Well, I think me and Jeremy are very different people and there's much, you know, the question was almost inviting me to condemn Jeremy Corbyn. I think there was lots that Jeremy Corbyn was putting forward to this country that I think was really positive. We've talked about wealth taxes, about public ownership. I also think it's important, speaking, for myself right now, that we make sure that we have this vetting process, that it's really clear that anti Semitism, Islamophobia, any form of hatred or hate, crime is not welcome." NR (12:47.3), "Do you believe that Palestine is, to coin a phrase, on the ballot this Thursday?" ZP (12:52.3), "I think lots of things are on the ballot this Thursday." NR (12:54.6), "But is Palestine on the ballot? This." ZP (12:56.2), "I think it's one of the elements, as is the climate crisis. As is." NR (12:58.7), "What does it mean Palestine is on the ballot? Because. The reason I ask you is because your candidate for mayor of Lewisham says Palestine is on the ballot this Thursday. Haringey Green Party campaign launch video. You might think it'd be about bins, you might think it'd be about schools, hospitals, it might be about cleaning up the roads." NR (13:17.2), "It is a series of councillors saying, as a council, I will take all appropriate steps to, uphold the inalienable rights of the Palestinian people. Do you think council elections really should be about Palestine?" ZP (13:29.8), "I think they can be about all of those things. And I think what people have seen in this country is a genocide for two and a half years that our government is still arming, are still sharing intelligence with. And I think lots of people feel very strongly both about their local services, as they should do, and feel equally strongly about the fact that there's a reprehensible genocide happening." ZP (13:48.5), "And they vote, but the way they vote in local elections" NR (13:52.6), "should be determined by their views of Israel and Palestine." ZP (13:56.0), "I wouldn't tell anyone how their vote should be determined, but I think it's an element for lots of people in how they vote." NR (14:00.1), "And do you think that will contribute to community cohesion? Do you?" ZP (14:02.7), "I think yes, because I think, we shouldn't pit Jewish safety against a genocide in Gaza. That's conflating anti Semitism and criticism of the Israeli government. That's something Benjamin Netanyahu does regularly. And as a Jewish person, that makes me feel less safe." NR (14:16.4), "Sure. But there are lots of Jewish people who would say to you they feel unsafe if they feel that their counsellors are motivated first and foremost by Palestine. And if somebody gives that speech, for example, about Palestine being on the ballot, they are likely to think that." NR (14:34.6), "We looked for, example at Barnett Greens, where one in seven residents identify as Jewish. And it includes in its manifesto the fact that, you're standing up for Palestine. Do you think that's going to help?" ZP (14:49.0), "Well, I walk regularly on Palestinian marches with hundreds and hundreds, in fact, thousands of people, many of whom are Jewish. And there have been rabbis who have spoken out on this too. I accept, though, there are Jewish people whose views are equally as valid who, don't agree with those views." ZP (15:04.0), "And I think the job of all of us who are in public life right now is to de. Escalate tensions. And look, how do we bring people together? And I accept that's a huge challenge. And I think one of the ways we could do that is by ending our complicity in the genocide." NR (15:15.4), "Let's turn finally to another issue. We'll talk at greater length when, we're talking about the possibility of you being Prime Minister, which you have said that you would like to do. One thing that is very high on the agenda now is the soaring cost of government borrowing. What would the Greens do to cut it?" ZP (15:30.6), "Well, I think we need to make sure that we're investing. So I think there's two ways of doing that. The first is, wealth taxes, which I know we've rehearsed before, but I'll just say that's for first place." NR (15:38.4), "How does that cut government borrowing?" ZP (15:40.2), "Because ultimately it means you need to borrow less if you're." NR (15:43.0), "If you're ultimately about cutting the cost of government borrowing." ZP (15:45.5), "Yes." NR (15:45.8), "Which is soaring. It's higher than it's been any time this century because people are nervous about high spending, high taxing governments that are politically unstable." ZP (15:54.7), "I think someone who speaks brilliantly on this, who I've spoken to, is the economist Mariana Matsicatu, and she talks about the fact that a government should have a mission that should be a very clear plan of how you tackle the climate crisis, how you reduce inequality. Now, if you have a clear plan and you're borrowing for that, you're taking the market with you because they can clearly see what the return on investment is and how you're bringing money back into the." ZP (16:15.2), "That's how you reduce borrowing levels. If we don't have a plan and continue to borrow, then it feels very, very scattered, and that's why things are getting worse. We need to make sure that there's a consistent plan in place that's set out carefully that can make sure we're putting money back into our communities and investing in those communities." NR (16:29.3), "Do you think you're ready to be Prime Minister?" ZP (16:31.1), "I'm not ready right now, no. I've been leader for eight months, and there's lots of skills and lots of knowledge to get, and I think that's fine. I think I'm a human being. I'm not perfect." NR (16:38.5), "But give it two years, you will be." ZP (16:40.0), "Well, we'll see in two years time, won't we? But I'll certainly be putting in the work." NR (16:43.2), "Zach Polanski, leader of the Green Party in England and Wales, thanks very much for coming into the." ZP (16:46.3), "Thank you, Nick."

Farrukh

165,871 views • 3 months ago

Journey through Hell made with seedance 2.5 prompt :One continuous 30-second chaotic amateur first-person smartphone video filmed by a standing passenger inside a completely packed magnetic-levitation commuter train. Single unbroken take with no cuts, jump cuts, dissolves, crossfades, double exposures, portals, morphing or artificial scene transitions. The train begins as an ordinary weekday commute on Earth and then physically travels downward on an impossible journey — through subway tunnels into bedrock, into a colossal void beneath the crust, past a soot-blackened waiting platform, through an immense eroded gate, out above a burning plain, down the terraced wall of a vast pit, and into the inhabited depths of Hell. Everything must feel physically connected, as though the same train is genuinely travelling down through each environment. The tone is bureaucratic dread, not horror-movie shock. This is a scheduled service. The route is old, the infrastructure is worn, and the train runs it the way it runs any other line. The horror comes from how ordinary the journey is and how enormous the destination turns out to be. The interior is a completely packed standing-room-only maglev commuter car. Passengers are pressed shoulder-to-shoulder, gripping overhead straps and vertical poles. Backpacks are squeezed between bodies, coats and loose clothing shift with acceleration, straps swing on their inertia, and the entire carriage constantly vibrates and rattles. The camera is a cheap smartphone held at chest height by one standing passenger who grips a pole with the other hand. The phone itself is NEVER visible because the phone is the camera. The framing is crooked, slightly off-centre, partially blocked by shoulders and arms, and imperfect like genuine accidental footage. The camera constantly shakes, rolls, yaws and gets thrown around by acceleration. Use realistic rolling-shutter distortion, autofocus hunting, exposure pumping, blown highlights, crushed noisy shadows, low-bitrate compression, macroblocking and smeared motion blur. It must look like genuine spontaneous smartphone footage, not professional cinematic footage. The camera always looks through the LEFT-SIDE WINDOWS at approximately 90 degrees to the train's direction of travel. The train always travels forward and the outside world always streams past the windows from front-to-back. Never switch to a forward-facing train-nose view. Never show the front of the train. The same carriage, same passengers, same poles, same straps and same windows remain visually consistent throughout the entire journey. The interior is the constant realistic anchor while the outside world becomes increasingly impossible. 0 to 3 seconds. Begin with an ordinary overcast weekday commute on an elevated urban line. Grey apartment blocks, rooftop water tanks, a scrapyard, overhead wires, a canal and traffic on a road below streak past the left windows at different distances with realistic parallax. The passengers are tired and mostly uninterested — some on phones, some staring out, some talking quietly. A calm public-address chime sounds and an announcer quietly says, "Next stop: Hell." Nobody reacts. One passenger glances up briefly and goes back to their phone. The train accelerates and everyone instinctively tightens their grip as the carriage gives a hard lateral jolt. 3 to 6 seconds. The line drops into a cutting and then into a tunnel. Tiled subway walls, cable runs, service lights and a passing platform strobe across the windows in hard bands of light and dark, throwing the carriage into stuttering illumination. The tunnel ages as the train descends: modern concrete becomes older brickwork, then rough-cut stone. The fittings become scorched and soot-caked — blackened signal lights, corroded brackets, cabling burnt down to bare metal. This route has been running a long time. The gradient steepens noticeably; passengers lean back against the pitch and the straps hang visibly off-vertical. 6 to 9 seconds. The tunnel wall becomes raw geology and the train is now clearly descending through the crust at impossible speed. Through the left windows the rock face streaks past in visible strata — pale limestone, dark shale, red iron-stained bands, seams catching the carriage light. The air begins to heat and passengers loosen collars. Then, under the mechanical roar, a sound arrives before anything is visible: a vast, distant, continuous mass of human voices, far away and heavily reverberant, never resolving into individual words. It is not loud. It is simply there, and it does not stop. Two passengers look at each other. Nobody says anything. 9 to 11.5 seconds. The rock wall falls away entirely and the train emerges into a void larger than a city, with no visible far side. It runs along a ledge on the wall; below the windows the space drops away into darkness. Stone columns kilometres tall stand in the void with strong parallax — near ones sweeping past, distant ones barely shifting. Far below and far ahead, a faint orange glow is already visible. It must already exist in the frame from this moment and grow continuously from here forward without ever popping or suddenly enlarging. The voices are louder here, spread across an enormous space. One passenger near the glass leans forward slightly. Another quietly says, "Ohh." 11.5 to 14 seconds. The train passes a station. A soot-blackened platform is cut into the rock wall — worn edge, dead lamps, faded markings unreadable under the grime — and figures are standing on it in an orderly queue, waiting, facing the track, completely motionless. They are seen for less than a second at speed, as dark shapes against the platform light, never close enough to read faces. The train does not slow. Nobody boards. The platform is gone behind the carriage. This is the moment the passengers understand. Several stop looking at their phones. Embers begin drifting upward past the windows from below. 14 to 16 seconds. Ahead, a wall crosses the entire void — a single continuous barrier extending beyond sight in both directions and upward past the ceiling. The train passes through an immense gateway cut into it, an arch hundreds of metres tall, its stone eroded smooth by an unimaginable volume of traffic, its carved markings worn past legibility. For half a second the carriage is in the shadow of the arch and everything goes dark. Then it is through, and the light on the far side is completely different: warm, hard, and coming from below. 16 to 19 seconds. The train races above a burning plain. Outside the left windows: a vast crusted expanse of dark solidified ground cracked into slow-moving plates with brilliant orange fissures running between them, distant fountains of molten material rising and falling in slow motion because of their true scale, and smoke columns standing kilometres high. Running across it are raised stone causeways, and on the causeways are crowds — dense, continuous, moving slowly, all in the same direction, extending to the limit of visibility. They are seen only as masses at distance, never in detail. The light entering the carriage is now dominant and hard, throwing sharp orange edges on faces, poles and straps with deep black shadows behind them. The interior air is visibly hazy. The voices are constant. 19 to 21 seconds. The plain ends at the rim of a colossal pit — a shaft so wide the far wall is only a suggestion in the haze. The train races over the edge and begins descending along the interior wall. The wall is terraced: enormous concentric ledges receding downward, each deeper and darker than the last, disappearing into smoke layers. The descent acceleration pushes the passengers down and forward against the poles. Ash begins striking the windows and streaking backward. 21 to 23 seconds. The terraces are populated. Endless slow processions move along every ledge, strings of figures following the curve of the wall down into the smoke and out of sight, lit from below by the fires beneath them. There is no chaos in it — it is orderly, patient and entirely without end, which is worse. Furnace mouths open in the rock face, glowing white at their throats, and long queues stand before them. Everything is at distance. Nothing is close enough to resolve. The light entering the carriage takes on a deeper red and the fluorescents are overwhelmed. Passengers nearest the window press slightly closer to the glass. 23 to 25 seconds. Enormous shapes move among the terraces — figures many times the height of the crowds around them, walking slowly along the ledges, their scale established only by comparison. They do not look at the train. Distant winged forms cross beneath the carriage at low altitude with slow heavy wingbeats appropriate to their size and vanish into the smoke. Stone pens and barred openings are cut into the wall in their thousands, receding into the haze like housing. Ash accumulates in the corners of the windows. The carriage is hot enough that the glass fogs and clears in waves. 25 to 27 seconds. The train reaches the deep layer and the full extent of Hell reveals itself. It is not a city on a human plan and it is not a cavern. It is a continuous inhabited geology extending in every direction — towers of black stone fused into cliff faces, vaults hollowed out of the rock at cathedral scale, rivers of molten material running in cut channels between districts and falling in slow luminous cataracts to levels further down, bridges spanning gaps kilometres across, and everywhere on all of it, crowds. Smoke columns rise for kilometres and flatten against unseen ceilings. Every level is lit by its own fires. The train races along a ridge line through the middle of it; arches and aqueduct spans pass overhead and terraces stream past below the window with violent parallax. It is impossible to see where any of it ends. 27 to 29 seconds. The depths continue past the windows. The camera struggles badly with the contrast, blowing out the fires and crushing everything else into noise. Ash cakes the corners of the glass. Passengers are pressed against the windows in total silence, faces lit from below in hard orange, expressions stunned and completely still. One person quietly whispers, "What is that?" Nobody answers. Autofocus hunts between the ash on the glass and the world beyond it. 29 to 30 seconds. The fires end. The train passes out of the smoke and the lowest region opens — and it is not burning. It is a vast frozen plain stretching beyond the visible horizon, an impossibly wide sheet of dark grey ice, absolutely still, lit by nothing but a faint pale glow from within itself. Shapes are visible held motionless within it, spaced far apart, receding to the horizon, never shown in detail. Every exterior sound stops at once — the voices, the fires, everything — leaving only the carriage. The heat drops out and frost blooms instantly across the outside of the windows. The scale feels planetary. The passengers stare in complete silence. At approximately 29.7 seconds the calm PA voice says quietly, "Welcome to Hell." The train continues moving. The camera keeps shaking naturally as the frozen expanse extends endlessly beyond the left window. Lighting The lighting must evolve naturally throughout the journey. Begin with flat overcast daylight around 6500K. In the tunnels use harsh strobing bands from passing service lights against near-total dark, then let the sources become sparse until the carriage's own weak fluorescent tubes are the only illumination. In the void the interior lights fall off into nothing. Then introduce a growing warm orange from below — first a faint wash on the lower half of faces, then mixing with the cold interior white, then completely dominating it: hard, high-contrast, sharp-edged, with deep black shadows. Above the burning plain it should be strong enough to blow out the phone's sensor at the window. In the deep layer it becomes red-orange and omnidirectional from countless fires at every distance. In the final second all warm light vanishes and is replaced by a faint pale luminance from the ice, cold and almost sourceless. All exterior light must enter naturally through the LEFT-SIDE WINDOWS and fall across passengers' faces and clothing at every stage. Do not add artificial interior lighting to create the colours. Passengers Keep all passengers completely ordinary throughout the journey. Realistic skin texture, subtle capillary variation, natural blinking, breathing, eye movement and imperfect facial symmetry. Clothing has realistic folds and responds to acceleration. Passengers must continuously perform small independent movements: shifting weight, adjusting grip, loosening a collar in the heat, wiping fog from the glass, turning their heads, tightening their hands around poles. Do not make them freeze. Do not make everyone react at the same moment. Do not let them perform dramatic acting. Their emotional progression is subtle: indifference at the announcement → mild confusion in the tunnels → unease when the voices arrive → the exact moment of understanding as the waiting platform passes → dread on the descent → complete stunned silence in the depths. No screaming. Only one soft "Ohh" at the first glow and one whispered "What is that?" near the end. The most powerful reaction is no reaction — just faces pressed against the glass, lit from below by something that should not exist. Physics The train always travels forward and always downward after the tunnel. Passengers sway according to acceleration and lean against the gradient; straps hang off-vertical on the descents. Loose clothing reacts to movement. Exterior objects have different velocities and distances with strong realistic parallax at every stage — near stone columns sweep past, mid-distance terraces move steadily, distant districts barely shift. Ash and embers must move independently of the train, drifting upward on thermal currents rather than streaming with the carriage. Heat must be expressed physically: window fogging and clearing, haze inside the carriage, frost at the very end. Enormous figures and flying forms must move slowly, because they are enormous. Nothing teleports, nothing freezes, nothing suddenly appears, and nothing changes position without physical cause. No transitions There are absolutely no visual transitions. No dissolves, crossfades, portals, morphing or ghosted overlays. Every environment change happens because the train physically travels into the next environment. The city becomes a cutting, the cutting becomes a tunnel, the tunnel becomes bedrock, the bedrock opens into the void, the void contains the waiting platform, the void ends at the wall, the gateway gives onto the burning plain, the plain ends at the pit rim, the rim becomes a terraced descent, the terraces fill with processions, the processions become the full inhabited depths, and the depths open onto the frozen plain. It must feel like one physically continuous impossible journey where every step is the inevitable consequence of the step before it. Audio Audio must be entirely diegetic with no music. Use cheap compressed smartphone microphone quality. The train produces a constant deep maglev roar, mechanical clatter, rattling poles, vibrating windows, swinging straps and low-frequency carriage rumble, plus passenger breathing and clothing movement. In the tunnels add hard reverberant slap-back and pressure changes as the train passes openings. The defining sound of this video is the voices. They must arrive at 6 to 9 seconds, before anything is visible, as a distant continuous mass of human voices with enormous reverberation, never resolving into words and never rising to screaming. From that point they never stop. They grow with depth and spread across a wider stereo field as the spaces open up. Beneath them, a very low frequency resonance builds steadily, felt more than heard. Above the burning plain add a broad distant roar and irregular deep concussions at long intervals. Ash strikes the hull as fine irregular ticking. In the depths the voices are vast, layered at many distances, and mixed with immense indistinct industrial-scale sound that never resolves into detail. In the final second every exterior sound stops at once — total silence outside, leaving only the carriage, the passengers' breathing, and ice creaking against the hull. At approximately 29.7 seconds the calm PA voice says quietly, "Welcome to Hell." Style and content limits The overall style must remain dirty photorealistic amateur smartphone footage despite the spectacular environments. Vertical 9:16, real-time speed, no slow motion, no stabilisation, no cinematic camera, no perfect composition, no clean VFX presentation. Use heavy shadow noise, blown highlights, low-bitrate compression, rolling-shutter skew, autofocus hunting, auto-exposure pumping, smeared motion blur and crooked framing. The camera should occasionally be partially blocked by a shoulder, arm or nearby passenger, and should struggle badly with the extreme contrast between fire and darkness. Hell is conveyed through scale, architecture, crowds at distance, fire, ash and sound. Do not show suffering, injury, bodies, blood, restraints or any graphic content. Every figure outside the train stays a distant silhouette or part of a mass — none is ever close enough for its face or condition to be read. Do not use recognisable religious iconography or legible text of any kind; all markings are eroded past legibility. Do not make it look like a game cinematic or a clean VFX render. The world outside should be overwhelming and physically impossible, but the recording itself must look raw, accidental and believable. The most important rule ONE SINGLE CONTINUOUS TAKE. No cuts, no jump cuts, no dissolves, no crossfades, no scene resets and no artificial transitions. The same train, same passengers and same camera remain present from beginning to end. The orange glow must be visible as a faint distant smudge from the first cavern and grow continuously and inevitably until it fills the window. The voices must arrive before the fire and never stop until the final second. The heat must build physically across the whole descent so that its total disappearance at the end lands as a shock. The population must emerge gradually — the waiting platform, then crowds on the causeways, then processions on the terraces, then the full inhabited depths — never appearing all at once. End while the train is still moving, the frozen plain extending endlessly beyond the left window, passengers silent, carriage still shaking, the PA announcement fading into the sound of ice.

Ciri

19,166 views • 8 days ago

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Himanshu Kumar

37,638 views • 4 months ago

Grok Imagine, right now is in my opinion best and fastest ai video generator for the masses. sure, is not perfect, but Rome wasn't built in a day. Maybe ppl from xai or Elon Musk would look on our posts and suggestions for future improvements. What is a must (for advanced users into ai video generation, been doing this game since 2022) .. 1. for longer movies , we need an option to organize like a project style, and to be able to add main prompts like the niche of the current movie, the character description and to be able to select a custom seed so we can have consistency of the characters. 2. we have now 6 seconds generation ( saw Elon promised 15 seconds soon).. BUT when we generate long movies, we end up with lots of scenes... what grok needs for the same project of the movie, would be a First Frame -Last frame scene interpolation between the scenes (take last frame from scene one, and first frame from scene 2 and generate a mid scene that would merge scene 1 with scene 2 .. and continue for the other scenes (this could be very easy implemented with some python lines of code , like before spitting final video, select all scenes.. extract frames etc etc etc etc.. simple af, when u have all scenes + the interpolation scenes combine evrything with ffmpeg ). 3.. list is long... and i dind't finished my coffee yet, so here is a grok TEXT to video short movie (coz lol u hit the limit for today). Prompts i used for each scene are a little more advanced, so i can see what grok is able to do .. the prompts used are like this (can;t post all due to X limits ) : { "scene_1": { "global_cinematography": "Ultra-realistic Hollywood cyberpunk thriller in the vein of The Matrix (1999) and Blade Runner 2049 (2017), shot on Arri Alexa LF with anamorphic lenses for widescreen 2.39:1 aspect ratio, 24fps for fluid motion, desaturated palette dominated by cool blues, greens, and high-contrast neon reds piercing perpetual smog-choked night. Consistent VFX pipeline: Procedural green code cascades, photorealistic cybernetic augmentations with subsurface scattering, physics-based rain and particle simulations. Lighting paradigm: Volumetric god rays through haze, practical lens flares from holograms, rim lighting on metallic surfaces for depth. Sound integration: Pulsing industrial synth score with digital glitches, rain patter syncing to code interference, metallic echoes underscoring dialogue. Transitions: Seamless glitch wipes or matrix symbol dissolves ensuring narrative continuity, each scene's final beat priming the next for unbroken tension flow. Continuity directive: Scenes chain via lingering elements—rain droplets from prior shots persisting, Nova's silhouette echoing across cuts, HUD overlays threading flashbacks to present, escalating glitch distortions building to climax rupture—maintaining spatial and temporal cohesion in Neo-Tokyo's underbelly.", "shot": { "composition": "Wide aerial drone shot with 35mm wide-angle anamorphic lens on Arri Alexa LF, high dynamic range capturing smog gradients and rain refraction for immersive dystopian establishment, foreground skyscraper edges framing the descent path", "camera_motion": "Controlled descending tilt-push through layered haze, subtle forward momentum building velocity into street-level convergence, priming alley reveal for Scene 2 silhouette emergence" }, "subject": { "description": "Neo-Tokyo's jagged circuit-board skyscrapers thrusting into smog-veiled void, rain-lashed surfaces mirroring erratic neon pulses; faint pedestrian phantoms below as harbingers of oblivious simulation", "wardrobe": "null" }, "scene": { "location": "Shadowed aerial vantage over Neo-Tokyo underbelly, continuity hook from global haze motif", "time_of_day": "Perpetual neon-twilight under storm overcast, syncing with all scenes' eternal dusk", "environment": "Thick smog banks parting reluctantly, acid rain sheets cascading in synchronized sheets with volumetric depth, holographic billboards stuttering in the distance to echo Scene 7 flicker" }, "visual_details": { "action": "Drone pierces urban canopy, unveiling rain-assaulted sprawl where neon bleeds into puddles like corrupted signals, distant alley haze teasing Nova's imminent step-forward in Scene 2", "props": "Circuit-etched tower facades with embedded LED veins flickering erratically, overflowing industrial gutters spewing iridescent chemical runoff, wind-scattered debris hinting at skirmish aftermath", "action_sequence": [ {"0-1s": "High hover frames smog-piercing spires, rain droplets streak lens in slow-mo refraction"}, {"1-2s": "Descent accelerates, haze thins to reveal neon-veined edges glowing faintly blue"}, {"2-3s": "Tilt reveals grid below, rooftops hammered in static-burst impacts syncing to score pulse"}, {"3-4s": "Forward push threads alley corridors, Mandarin signs initial flicker priming Scene 7"}, {"4-5s": "Pedestrians sharpen as wireframe ghosts, AR visors glinting obliviously"}, {"5-6s": "Level to ground haze, Nova's trench silhouette materializes at frame's vanishing point, coat billow lingering into Scene 2 track"} ] }, "cinematography": { "lighting": "Desaturated neon primaries with volumetric god rays slicing haze for ethereal isolation, rain speculars adding dynamic highlights consistent across wet surfaces", "tone": "Oppressive immersion yielding to rebellious spark—global cyber-noir dread laced with glitch anticipation, flowing seamlessly to Nova's personal emergence" } }, "scene_2": { "global_cinematography": "Ultra-realistic Hollywood cyberpunk thriller in the vein of The Matrix (1999) and Blade Runner 2049 (2017), shot on Arri Alexa LF with anamorphic lenses for widescreen 2.39:1 aspect ratio, 24fps for fluid motion, desaturated palette dominated by cool blues, greens, and high-contrast neon reds piercing perpetual smog-choked night. Consistent VFX pipeline: Procedural green code cascades, photorealistic cybernetic augmentations with subsurface scattering, physics-based rain and particle simulations. Lighting paradigm: Volumetric god rays through haze, practical lens flares from holograms, rim lighting on metallic surfaces for depth. Sound integration: Pulsing industrial synth score with digital glitches, rain patter syncing to code interference, metallic echoes underscoring dialogue. Transitions: Seamless glitch wipes or matrix symbol dissolves ensuring narrative continuity, each scene's final beat priming the next for unbroken tension flow. Continuity directive: Scenes chain via lingering elements—rain droplets from prior shots persisting, Nova's silhouette echoing across cuts, HUD overlays threading flashbacks to present, escalating glitch distortions building to climax rupture—maintaining spatial and temporal cohesion in Neo-Tokyo's underbelly.", "shot": { "composition": "Low-angle tracking push with 50mm anamorphic prime on Arri Alexa LF, heroic distortion compressing background alley into claustrophobic funnel, foreground rain blur veiling initial fog for continuity from Scene 1 descent", "camera_motion": "Fluid forward Steadicam arc from lingering Scene 1 haze, subtle left profile tilt to frame Nova against graffiti wall, pulling back slightly to hold environmental depth into Scene 3 orbit" }, "subject": { "description": "Nova, 30s hybrid rebel with scarred synthetic pallor, cropped black hair rain-matted, holographic irises scanning with latent data flickers; sleek titanium limbs rune-etched in dormant blue", "wardrobe": "Sodden black trench coat with frayed hems from Scene 1 debris scatter, high collar shadowing jawline for motif continuity" }, "scene": { "location": "Graffiti-choked alley continuation from Scene 1 street convergence, Neo-Tokyo underbelly", "time_of_day": "Eternal neon-dusk syncing global palette", "environment": "Fog banks rolling from industrial vents as Scene 1 smog extension, wet cobblestones rippling with residual aerial rain patterns" }, "visual_details": { "action": "Nova materializes from Scene 1's terminal haze, striding assertively into sodium glow with metallic glint, coat hem dragging puddles to splash forward—teasing Scene 3 facial trace", "props": "Luminescent 'GLITCH THE SYSTEM' graffiti echoing from Scene 1 signs, overhead hover-traffic hum persisting from aerial hum", "action_sequence": [ {"0-1s": "Fog swirl from Scene 1 yields Nova's silhouette, boot first impacting puddle"}, {"1-2s": "Full stride forward, coat hem trails iridescent wake linking to blood drip in Scene 9"}, {"2-3s": "Titanium forearm catches neon, runes sequential-pulse awakening blue continuity"}, {"3-4s": "Holographic eyes iris-scan, reflecting alley code fragments priming Scene 4 overlay"}, {"4-5s": "Rain beads contour synthetic skin, parting at seams for Scene 3 macro journey"}, {"5-6s": "Profile lean against wall, vapor breath hangs, posture straightening into Scene 5 OTS"} ] }, "cinematography": { "lighting": "Harsh sodium sidelight rimming form per global motif, cool rune fill softening human remnants, prismatic rain refractions tying to Scene 1 aerial streaks", "tone": "Defiant grace in simulated decay—cyber-noir intimacy building personal stakes, camera arc ensuring spatial flow to close-up revelation" } }, etc etc etc up to scene 16. you got the point

NFK

3,351,561 views • 9 months ago