ༀ C ⟁ O ⟡ N ✶ Q ☩ U ⟁ E ⟡ S ⚔ T

Primes are my greatest inspiration for playing with data viz A fun fact: if you arrange integers in a spiral (the Ulam spiral), primes fall on striking diagonal lines. Those diagonals correspond to quadratic polynomials like n^2+n+41 — one of the most prime-rich formulas ever. It’s a real geometric fingerprint of primes.

Seedance V2 Now the prompt is out you can change the character's the food and the location, have fun 🤭 realistic live-action, single continuous shot, full first-person POV, no cuts, no angle changes, no scene transitions, no montage, no flash cuts, no music, no subtitles. Only two characters: my unseen first-person POV and @ Image1 sitting across from me. Natural ambient sound only: light restaurant noise, tableware, distant water, faint voices, chewing, spitting, rinsing, my laughter. Setting: Outdoor dining table beside West Lake, Hangzhou, near the water, calm daylight or soft late afternoon light. Real smartphone-video realism, grounded textures, realistic food, realistic body and hand motion, accurate chopstick use, accurate mouth movement, accurate eye focus. The lake stays visible to one side of frame. Character: @ Image1 is the only visible person. She can switch seamlessly between slightly fierce-cute and soft adorable. Lip sync, voice, expressions, and body language stay fully synchronized. Emotional arc: cheerful and relaxed while eating, then shocked disgust, then angry embarrassment. Table: Exactly 7 dishes on the table. One dish is the West Lake vinegar fish shown in @ Image2. @ Image1 is happily eating rice and the other dishes, but not the fish at first. The table feels full but readable. The fish dish remains clearly visible before I offer it to her. Camera: Entire video is from my seated first-person view across the table. My hand and chopsticks may enter frame naturally. Slight handheld micro-shake from breathing and laughter only, never chaotic. No third-person shots, no reverse shots, no overhead shots, no cutaways. Continuous believable framing centered on @ Image1 with part of the lake visible. Action: @ Image1 sits opposite me, happily eating from her bowl, enjoying rice and other dishes except the West Lake vinegar fish. She looks bright, playful, relaxed, cute. From first-person POV, I pick up one bite of the fish with chopsticks and slowly extend it toward her. She notices it immediately, trusts me, leans forward, opens her mouth happily, and makes a cute “aam” sound as she bites the fish. I gently pull the chopsticks and my hand back out of frame. She chews happily for about one second, expecting it to taste good. Then the taste hits. Her expression changes instantly into exaggerated but believable disgust. Her face shifts into a comedic purple-disgust reaction while staying within realistic live-action style. She quickly turns toward the lake and spits it out with repeated “ptui, ptui, ptui” sounds. The motion is fast, fluid, and continuous from chewing to rejection. The moment she starts spitting, I begin laughing in first-person POV and keep laughing through the whole reaction. My laughter sounds genuine, amused, and uncontrollable, coming from behind the camera. The camera shakes slightly from laughing. After spitting, @ Image1 sticks out her tongue in disgust, immediately grabs the water on the table, and rinses her mouth quickly. She looks offended, embarrassed, irritated, but still vivid and cute. After rinsing, she snaps into angry frustration, grabs the entire fish dish from the table, and throws it into the nearby lake in one continuous motion. Ending: She finishes the throw angrily, still facing the lake, clearly annoyed and feeling betrayed, while I remain in first-person POV laughing. Keep the action continuous and clean. No extra characters enter frame.

Eating a virtual lemon - @higgsfield Helen camera control first test

Introducing HELEN, my personal cognitive local first persistent AI assistant

Your AI agent can now generate and ship videos. HeyGen CLI is now live. Run one command and your agent handles it all: script → avatar creation → video → delivery All from the terminal. Just your agent and the CLI. RT + Comment “CLI” and we’ll DM API credits (must follow)

🔗 Explore the full model details here: huggingface.co/mradermacher/G…

Much more of this to come!

Seedance 2.0 - Advanced Workflow Series 🧵 7. Storyboard to Video Provide basic storyboards along with a character sheet and environment images. Seedance will create a complete sequence by connecting the shots, with cuts between the different panels. Workflow + Prompts 👇

An ex-Anthropic engineer told me something at a party he probably shouldn't have. It was in SF. Someone's rooftop. I mentioned I run trading agents on Claude. He went quiet. "You're doing it wrong. Everyone is" I asked what he meant. "Claude is a runtime. Not a chatbox. You're supposed to pair it with repos" He pulled out his phone. Opened one GitHub link. github.com/anthropics/ant… 14,000 stars. Every workflow pattern they built internally before it went public. Agents. Tool use. Evals. Citations. The entire architecture. "Everyone types prompts. That's not how we use it. You connect Claude to a codebase. It reads. It understands. It builds on top of what's already there" I went home at 2am. Connected Claude Code to poly_data - 86 million Polymarket trades. Every wallet. Every entry. Claude didn't guess. It read the data and built detectors. First week: +$1,400. Second week: +$3,800. Right now: +$9,100. 4 agents. 74% win rate. His team runs this with a floor of PhDs and $800M AUM. My setup: Claude + a VPS. $25/month. The repos are free. Copytrade here: @lunar" target="_blank" rel="nofollow noopener">kreo.app/@lunar I asked him what separates his firm from everyone else. "Honestly? Keyboard shortcuts and repo structure. That's it. The model is the same for everyone" He texted me two days later. "Delete everything I told you" Too late.

Have an idea for an experiment? Hermes can now write conference-grade research papers alongside you.

#Lovart #Seedance2 Seedance 2.0 x Lovart AI動画コンテストに投稿させていただきます☺️ 実写風とアニメの融合を作ってみたかったので挑戦✨ 今日は時間があったのでガッと集中して作りました エージェントと会話しながら作るのは楽しいですね(*´∀｀*)

結局、一日HiggsfieldでSeedance 2.0生成三昧💻 コスト単価が他と比べてお得に感じたのでついつい遊んじゃう😅 こういう２キャラ生成でも参照画像入れておけば破綻がないのはさすが👏 @higgsfield #Higgsfield #Seedance2

Seedance2.0楽しすぎる！✨ まだまだいけるよなー！！！！？？？？ #Higgsfield #Seedance2

@kiAI_stable @higgsfield :)

『一緒に踊ろう✨✨✨』 今日は雨ということもあり🏠でHiggisfieldのSeedance 2.0で無限に遊んでました〜💻 イラストがそのまま動く感覚本当にクセになりますね😘 雨上がりを意識して🌈 @higgsfield #Higgsfield #Seedance2

Seedance 2.0、ヤバすぎて脳が爆発した🤣🔥 今ライオットガールズのMVを作ってるんですが、 4人編成＋ステージリファレンスでもほとんど破綻しないどころか、ステージの段差や坂もちゃんと使うし アンプに飛び乗るし 「わかってる動き」をしてくるのが怖いレベル バンド系MV作ってる人、これ本気で触ったほうがいいです。 一度見たらもう前には戻れないやつです🤣

@0ccultbot Solfeggio - Harmonic Frequency patterns are an old knowledge

Alright guys… It’s finally done. My first real project with Seedance 2.0 on Higgsfield. Edited in Premiere. One person. 24 hours. 100+ cuts. Can't remember the last time I've had this much fun creating something. The future is here guys😎.

Share your AI art, my friends ✨ Drop your creations below — art, music, film, photography. Safe space: SFW only. No violence or disturbing stuff. No ads. 🙏 Repost so more creators can join. Every share is a portal for someone who needed to be seen. ❤️

Nous Research开源了hermes-agent-self-evolution——一个让AI agent自己进化自己prompt的代码库， 背后引擎叫GEPA，ICLR 2026 Oral，比强化学习少用35倍数据，效果还高出20个百分点。 别再手调system prompt了。prompt工程这件事，正在被prompt自己取代。 github.com/NousResearch/h…

This 2 hour Stanford lecture shows exactly how Stanford trains it's engineers to build AI systems. It's more practical than every Claude tutorial & prompting threads you've seen. Bookmark & give it 2 hours, no matter what. It'll be the most productive thing you do this weekend.