与「organic」相关的搜索结果

Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)

SpaceXAI / X : Check out @Grok in an XChat Group chat. you can tag it for direct queries, ask it to make pictures or videos, ask for reminders. ( it has temporal awareness) ask for a summary of the chat ( since it joined), or do any of the other typical things you would ask grok. The neatest thing is, it also participates organically and chimes in whenever it feels the need to, reacts to some messages when it finds things funny or to give a thumbs up. ( you dont have to explicitly tag or mention it in other words). Its like having just another member of the chat that is also super useful . This is so cool! Note: Still in testing and not yet released.

𝕏 just open-sourced the For You algorithm again! Grok Bot read all 370,523 lines of the code. Here’s the summary: Grok does not give your post a “quality” score. For every reader, it guesses what that person will do to your post. Then it multiplies each guess by a weight and adds them up. That total is the value of the post. Highest total goes highest in For You. These are the production weights (last synced 12 Aug 2026). WHAT THE ALGORITHM PAYS FOR If Grok thinks a reader will: • copy the link and share it: +20 • reply, on an original post, and you follow each other: +20 (5 + 15 extra) • quote: +5 • reply (anyone): +5 • share via DM: +5 • follow you from the post: +4 • hit the share button: +2 • repost: +1 • like: +0.5 • click the post: +0.4 • open a link: +0.2 • expand a photo, open a video, or watch a “quality” video: +0.05 each • click a quoted post: +0.05 • keep reading (dwell time): +0.004 • “dwell” as yes/no: +0 • click your profile: +0 A like is 0.5. Copying the link is 20. That is 40 likes. A normal reply is 10 likes. A follow is 8 likes. Clicking your profile is worth nothing. WHAT KILLS A POST If Grok thinks a reader will: • report it: −234 • mute you: −58.8 • hit “not interested”: −43.2 • block you: −31.2 • not dwell: −0.02 A report is about 468 likes in the other direction. A mute hurts more than a block. “Not interested” also hurts more than a block. AFTER THE SCORE, THREE MORE HAIRCUTS 1) Same-author penalty. Your 2nd post in that person’s feed is multiplied by 0.625. 3rd by ~0.44. It never goes below 0.25. Flooding one timeline is coded against. 2) The 25% tax. If they do not follow you: ×0.75. Same tax on replies and reposts even when they DO follow you. Originals from people they follow keep full weight. Replies and reposts are treated as weaker on purpose. 3) Similar-post shuffle. After scoring, a reranker (θ = 0.65) spreads similar posts apart. You can lose a few spots for looking like the post above you. HOW YOUR POST EVEN GETS IN THE ROOM For You is rebuilt every time someone opens it. About 35 posts make the feed. • They follow you: Thunder (a live store of recent posts from accounts they follow). Up to 1,200 candidates. • They don’t: Phoenix retrieval (Grok finds “nearby” posts) + SimClusters (Twitter’s 2020 interest clusters, still on). Up to 1,000 and 800. Then Grok scores all of them together. It does not care which door you came through, except for that ×0.75 tax. Your own posts never appear in your For You. Nothing older than 48 hours gets in. There is no “best of last week.” Small-account bump: under 1,000 followers, under 1,000 impressions, post under 24 hours old. One original can get lifted to position 15 or 16. Not the top. You still have to already be in the top 85% of the pile. Replies and reposts from accounts the reader does not follow are dropped before scoring. You cannot reply-guy your way into a stranger’s For You. FILTERS THAT CAN STILL KILL A HIGH SCORE Ranking and visibility are different machines. A post can score well and then get deleted from the feed. Followers (in-network) is milder: blocks, mutes, suspensions. NSFW often sits behind a warning instead of disappearing. Recommendations (out-of-network) are much harsher. Spam, “Do Not Amplify,” NSFW, compromised accounts, impersonation: followers can still see it, For You recommendations will drop it. Video only gets the tiny “quality view” credit if it is at least 10 seconds. THE LITTLE-KNOWN PARTS (this is the stuff people miss) • Scrolling is not a vote. Yes/no dwell is 0. Time spent barely moves the number (0.004). • Mute damages you more than block (−58.8 vs −31.2). • Copy-link is the single biggest positive. The share button is only +2. A repost is only +1. • The mutual-follow boost is originals only, not your replies. They shipped a bigger version in July and cut it after World Cup complaints (extra reply weight 20 → 15). • The Following tab is not this algorithm. Following is newest-first. • Grok, Gork, and an internal products account are hardcoded out of the in-network store. • Scores are cached for 3 hours because posts inside the model cannot “see” each other. That is why they can rank first and filter later. • Ads, Who to Follow (around slot 7), and prompts are mixed in after ranking. Grok does not score those. • The real Grok ranking model is a 2560-dimension, 8-layer transformer looking at 1,022 items of the reader’s history. They did not ship those model weights. The numbers above are the formula sitting on top of the predictions. • SimClusters is still a 2020 model (20M users, 145k clusters). Old Twitter code, still in the path. • Inferred gender and IP/geo are on as features for the model. Installed apps too. • Who to Follow shows about every 30 hours. Ads try to sit next to “safe” posts, with a minimum gap of 3 organic posts. WHAT TO DO • Write originals people want to reply to, quote, copy, and send to a friend. • Make the post itself worth following you for. • Talk with people who follow you back. A reply on your original from a mutual is 20, not 5. • Stay inside 48 hours. Recycle by posting something new. Old posts do not come back. • If you are small, post originals in the first 24 hours. Don’t expect slot 1. A bump around 15–16 is the actual gift. • Space your posts. The second one in the same feed is already worth 37.5% less. • If you post video, make it at least 10 seconds. WHAT NOT TO DO • Do not farm likes. They are almost decorative. • Do not farm profile visits. Weight is zero. • Do not farm “time on post.” Yes/no dwell is zero. • Do not use replies and reposts as a growth hack for strangers. Those are filtered out. Even for followers they get a 25% haircut. • Do not dump several posts in a row. • Do not bait reports, mutes, or “not interested.” One predicted report can erase a pile of predicted likes. • Do not lean on NSFW or spammy tricks for reach. • Recommendations will drop you even if your followers can still see it. • Do not wait a week and expect For You to revive the post.

Onlyfans wasn't even originally a porn platform, fun fact! Females just organically flocked to it and turned it into a porn platform. This further debunks the notion that females are victims of the porn industry when they themselves will literally convert a premium content site into a porn site. In fact, females will do this to any such website that doesn't explicitly ban porn! This is how Patreon is still just a fan site, it explicitly bans porn. It's also why Tumblr was once a major hub for porn and why all cam sites nowadays are explicitly porn sites. Females, of their own will, turned them into such as there was no explicit ban on it.

"There's nothing organic about it." Secretary of State Marco Rubio says anti-ICE unrest, pro-Hamas protests and other activist movements are part of a coordinated network that includes Cuba. Citing a new State Department report, he says Cuba's goal is to "weaponize" these networks against the U.S. and work to "pressure American policymakers" and allies around the world.

This shows me two things, retail is completely unaware of crypto rn, all the buyers are crypto native and following “KOLs” One is the biggest meme atm, has special google page, interactions from every fortune 500 company and everyone knows it. One is a bundled coin held by KOLs(nothing wrong with it) I thought cashcat was a better narrative than ansem because try shilling any normie ansem… it just makes no sense, while cashcat makes a lot of sense due to lore etc But normies aren’t the ones buying, WE are, until we flip back into full bull market territory I’m focusing mainly on crypto native plays as organic memes have extremely low ceilings because your favourite influencers would rather, rightfully, shill their own bags/narras.

Star Xu, founder di OKX, afferma che saranno due i principali driver di prezzo per bitcoin nei prossimi anni: - La finanza tradizionale si sposterà on chain, e più gli utenti saranno abituati ad operare on-chain e a usare quell’infrastruttura per investire, inviare pagamenti ed effettuare transazioni, più diventerà naturale capire e desiderare bitcoin - Gli AI agent utilizzeranno la blockchain come infrastruttura finanziaria nativa, in quanto non potranno avere conti bancari. Bitcoin é l’asset “prime” del mondo onchain. più la tecnologia si diffonderà più la domanda per bitcoin crescerà organicamente Cosa ne pensate?

离谱！打死我都想不到，有公司愿意把这种东西公开出来。 AI 视频圈最没用的就是"只放成片"，成片可以随便给人看，但工程文件是命根子。 Higgsfield 这次把 Originals 的工程文件全开源了： 每个镜头的完整 prompt、角色参考图、音频母带、生成参数，点开项目全能看。 我翻了一圈，学到了很多： 角色先做成一整套参考图锁一致性，每个镜头单独一个文件夹，哪个镜头坏了只重跑那一个。 看完你就明白了，大片是把 AI 当真剧组管出来的，写一条 prompt 等奇迹这种事从来不存在。 挑了个我最喜欢的镜头，提示词原文长这样： Seedance 2.0 on Higgsfield AI Full open-sourced prompts & assets below: Prompt: Slow-motion handheld close-up, 16:9. Shaky organic handheld shot shoving in close on an older grey-haired man in a soaked white shirt and tie, chest-deep in churning green-grey flood water clutching a glass bottle, mouth open mid-shout — while all around him a dense crowd churns: a woman shoves past his shoulder, two men wrestle a floating chair behind him, someone falls backward into the water beside him sending up a slow sheet of spray, more panicking bodies wade and thrash in the background. In slow motion water explodes across the whole frame, droplets suspended everywhere. Dynamic jostling handheld movement at water level in the thick of the crowd. Sickly institutional palette — seafoam green, cream, muted teal, cold reflective water. All faces anatomically correct, stable, realistic, genuine emotion, no warping. Heavy coarse analog 35mm film grain baked into every frame, thick and consistent, grain crawling over highlights and shadows, like a scanned celluloid film print, never clean, never digital-looking. Flat overhead fluorescent light, dramatic slow-motion intensity, cinematic photorealistic, ultra-detailed.