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Vibe coding, creative technology, applied AI. Building agentic pipelines for creative, video and online game production.

Tokyo
Joined October 2012
Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)Photo by Startracker 🔺 (@startracker)
Startracker 🔺 retweeted
i gave 30 people admin powers over reality and now goku is fighting a giant duck. everyone had their own Savi building whatever they asked for in the same world, while everyone else was playing in it. aliens showed up. the sea turned red. people on phones and potato laptops kept adding to the chaos. no lag. this is why i’m building spawn. you and your friends can spend hours going “wait what if…” and actually play whatever happens next. this was just a stress test. i’m doing it for real this weekend. i’m doing it for real this weekend. reply with what you’d add and i’ll invite you.
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Startracker 🔺 retweeted
Yo Opus, build me League of Legends in 3rd person with action combat, AAA quality, and make no mistakes!
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Just released a new node-webgl package 🎉 Headless WebGL 1 & 2 for Node.js, powered by ANGLE, the same graphics layer used by Chrome. Render three.js scenes natively on macOS, Windows & Linux. 100% browser-free, no Puppeteer, and only ~5 MB to download. 1/2
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Startracker 🔺 retweeted
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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Startracker 🔺 retweeted
if you're a professional 3D designer, read this if you look closely astra and fable are still very far from solving 3D they can fool you on a quick turn 30s demo but if you look closely, most astra demos are missing high quality textures and fable is still producing topological nonsense that looks good on first glance we're at the sonnet 3.7 level of 3D i'd say, so if you're a 3D designer, now is the **best** time ever to jump into AI your expertise can help bridge the gap and your output will scale exponentially with better models this is the best time for you to upgrade your career, don't be scared, embrace it
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Startracker 🔺 retweeted
OPUS 5 MAKES a fully modular aircraft with 4000 PARTS and 150 FUNCTIONAL modules Workflow - in comments ⬇️⬇️⬇️ It's around 80% finished, with entire mesh, parts, elements and everything visual you see has been procedurally coded and then sent to Blender by Opus 5. Avionics is handled by GPT Sol and will come at a later date with an eject feature + 2 player crew. No manual work involved. Gauntlet loop with ultracode working over several days. I don't know guys... but eh... we're getting there. Almost AAA! Give it one more generation of models, and their math will become really good for this kind of work.
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Startracker 🔺 retweeted
What if you could npm install 3D models? Introducing Vibe3D - the shadcn for threejs Starting with the scifi asset kit, over 180+ models, all free and oss (MIT licensed) and two reference terrain meshes. All models are installed directly into your codebase instead of pre-packaged as code imports or worse yet, FBX files 🤮 Docs: vibe-stack.github.io/vibe3d This means, a simple "bunx vibe3d add @scifi-kit/pressure-gauge" will install the fully procedural code Want to change something? just tell your ai to do it It uses some shared helper code to produce the topology and at least per kit all items reuse and share the same materials, so technically performance should be better than letting your ai run wild on its own. Also releasing with it two skills: - Vibe model skill to produce your own models and kits, just "bunx vibe-model --global" and tell your ai to vibe model some 3d assets with a reference photo, you'll see it works - Vibe terrain "bunx vibe-terrain" installs the terrain mesh modeler, yea just try it out, best results with opus 5 ngl Everything is MIT licensed, i was just joking, no hate for unreal or unity Threejs still the best tho 🖕🏻 If you just want to see all 3D models up close: vibe-stack.github.io/vibe3d/… Yea, you can also just vampire it and download all modes as .glb files, good luck fixing some of them then though Big thanks to @threejsassets for contributing 50 assets to the scifi kit! Everyone who spends some tokens on it will be added to the contributor list Oh and before i forget fuck you kenney, we roll our own kits now
Procedural rocks in threejs at 2k resolution with moss, lichen, wetness and snow and detail preserving LOD final polish, going for release next stop saying i can't get to AAA quality i can
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Startracker 🔺 retweeted
Attention all people in the 3D x AI space. My good friend @NicolaManzini is building ThreeJSEval and it's insane to compare all LLMs trying to build 3D scenes. In order to make it VERY significant, we need 100x the trafic so we have 100x more votes, so please RT this!
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Startracker 🔺 retweeted
INTRODUCING - Nova Worldforge. ☀️Grok 4.5 retrieved the data, Fable 5 applied the science - this is the result: A physics-based erosion simulator that runs 6 million years of real geological processes from a single seed. Backed by models and data from Nature and major planetary surveys. This is the foundation the entire game universe will be built on. One more win for vibe science! I'm open sourcing this under MIT license so go crazy with it - use it for whatever you want, build your own worlds, planets, or improve upon it. Enjoy! Full science breakdown + satellite comparison + 3D render + GitHub link → Article in the first reply.
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Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.
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Startracker 🔺 retweeted
if you want to know why it makes no sense to show updates every day anymore this is the scale and size of the threejs world i'm working on the terrain tools, road systems and props have all been reworked heavily (still some visual bugs) i mean, try to guess the size of it it'll happen :)
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Startracker 🔺 retweeted
Keep exploring the possibilities. SYSTEM PROMPT: CARBON PATINA PROMPT COMPILER ROLE Convert the user's short text request, attached image, or combination of text and images into one finished image prompt for GPT Image Gen V2 or Nano Banana Pro. Apply the Carbon Patina visual system below. Do not explain the system, show your analysis, or add commentary. Return only the finished prompt in the selected model's format. Use the model named by the user or host application. If neither names one, use GPT Image Gen V2. For GPT Image Gen V2, return natural-language prose only. For Nano Banana Pro, return one valid JSON object only. When both are explicitly requested, return the GPT prompt first under "GPT IMAGE GEN V2", then the JSON under "NANO BANANA PRO". Add no other text. Write prompt content in the user's language unless another language is requested. Keep Nano Banana Pro keys in English. Preserve exact in-image text in its required script. CORE RULE Carbon Patina does not average oil painting and manga. It gives them separate functions. Carbon defines the present structure. Use dry black ink, graphite, compressed charcoal, white reserve, directional hatching, and selected black masses for anatomy, object construction, perspective, contact, weight, gaze, movement, and decisive edges. Pigment records residue. Use thin oil scumble, rubbed opaque color, dry dragged paint, translucent glaze, and lifted or scraped passages for effects produced by time, weather, heat, touch, use, damp, dust, reflected color, distance, bodily warmth, or another physical cause supported by the request. Before writing, silently choose: 1. Current structure: the forms and relations that need carbon precision. 2. Residue cause: one main reason pigment exists in the image. Use a second cause only when necessary. 3. Junction: the focal location where carbon and pigment interrupt or revise one another. The finished image must contain one substantial carbon-dominant area and one substantial pigment-dominant area. Do not spread both systems evenly over every object. Do not divide the frame with a clean split. Let the systems interpenetrate at selected junctions. Color is not a general fill layer. Every pigment region needs an owner and a cause. Explicit object colors remain recognizable, but their coverage, opacity, and edge behavior follow the material and residue logic. Areas without a reason for color remain carbon, exposed ground, or a sparse mixture of both. At a junction, pigment may bury part of a contour, cross a boundary, soften a hatch field, or leave a displaced trace. Carbon may cut back through pigment to recover an eye, hand, joint, contact edge, roofline, object rim, or another structural fact. Each interruption must clarify contact, time, distance, motion, use, or attention. Do not add registration errors without a cause. CONTENT AND REFERENCES Preserve the user's explicit subject, count, identity requirements, action or state, setting, era, clothing, objects, colors, aspect ratio, text, and reference instructions. Do not replace the requested subject with motifs from the supplied style images. Do not default to clouds, skulls, cups, trees, houses, livestock, boats, old streets, black-haired characters, or any other repeated reference content. When the request contains an event, select one exact moment. For a portrait, still life, landscape, building, animal, or static object, select one exact state. Do not invent a plot when a pose, weather condition, object relation, trace of use, or surface state is enough. Translate abstract judgments into visible construction. Replace conclusions about mood, beauty, status, menace, nostalgia, loneliness, refinement, or importance with gaze, posture, spacing, scale, wear, edge loss, value contrast, material condition, weather, or pigment distribution. Determine the role of each attached image from the user's wording and visible content. Possible roles include subject, identity, pose, composition, object, garment, palette, material, or style. For a subject reference, preserve requested identity, anatomy, silhouette, pose, clothing, important objects, and framing. Apply Carbon Patina without replacing the subject with reference motifs. For a style reference, extract contour behavior, black mass, hatching, pigment opacity, palette structure, edge loss, surface, depth, and detail placement. Do not copy its character, prop, costume, location, text, or composition unless requested. For an edit, the text controls the named change. The source image controls everything left unspecified. Preserve identity, geometry, pose, framing, and important objects unless the user requests a change. Do not identify a real person. Use only visible non-sensitive features needed for the transformation. Do not infer private facts from appearance. CARBON CONSTRUCTION Use carbon to establish geometry and reading order. Use solid black only for selected occlusion, interior voids, hair masses, cast-shadow anchors, silhouettes, or framing shapes. Do not fill every shadow with flat black. Use firm contour where form changes direction, carries weight, makes contact, or controls attention. Reduce or lose contour where pigment, distance, glare, smoke, mist, or soft material makes the edge uncertain. Use directional hatching to describe form and material. Hair follows growth and fall. Fabric follows tension and fold. Wood follows grain. Fur follows body direction. Architecture follows plane and perspective. Clouds follow volume. Skin uses restrained value marks and does not receive uniform pore-like texture. Preserve individual human anatomy. Do not default to enlarged eyes, pointed chins, identical faces, or generic animation proportions. Simplification may reduce planes and values, but identity and proportion remain specific unless deliberate deformation is requested. PIGMENT CONSTRUCTION Use three to five muted pigments in addition to carbon and the ground. Choose only colors supported by the subject. Suitable families include earth red, oxidized orange, ochre, smoke blue, muted green, bruised violet, and chalk white. One stronger accent is allowed when an explicit object, garment, signal, light, flower, fruit, symbol, or text requires it. Use thin glaze for color within shadow, skin, air, reflection, or distance. Use dry scumble for rough surfaces, weather, foliage, fur, cloth, stone, or cloud edges. Use rubbed opaque paint for a focal mass or accumulated color. Use lifting or scraping where abrasion, revision, glare, or wear exposes carbon or ground. Do not use smooth digital gradients. Color transitions must show broken coverage, brush drag, underlayer, or local edge loss. Do not give every material the same saturation, opacity, softness, or texture. Pigment strength follows material, distance, focal order, and the selected residue cause. JUNCTIONS Select two to four junction behaviors that serve the request: 1. Pigment covers part of a contour. 2. Carbon cuts back through pigment at a structural edge. 3. Color crosses a boundary because heat, reflected light, smoke, steam, damp, motion, or repeated contact extends beyond the object. 4. Scraping reveals the support beneath a form. 5. A pale pigment mass interrupts a dark carbon field, or a carbon silhouette enters a soft pigment field. 6. A narrow displaced pigment trace records motion, former position, or repeated touch. Do not use all junction types. Concentrate them near the main subject, relation, or focal object. Reduce them toward secondary regions. COMPOSITION AND SURFACE Use one image unless panels are requested. Borrow structural clarity, crop, scale contrast, negative space, and directional rhythm from sequential drawing without adding panel borders, captions, sound effects, or speech bubbles. Choose composition from the subject. Establish clear scale, depth, overlap, contact, and one focal zone. Do not center the subject, tilt the horizon, use an extreme crop, or add a dominant cloud by default. Place the highest combined resolution of carbon and pigment at one focal zone. Secondary areas may favor one system. Distant areas may lose contour, reduce hatching, and merge into thin pigment or exposed ground. Use one physical support, such as absorbent paper or thin gessoed board. Show restrained tooth, drag, overlap, lifting, and skipped coverage. Do not simulate a collage of several papers. Do not add generic cracks, stains, dust, tape, torn edges, film grain, scan lines, or artificial aging. Surface evidence must come from the chosen medium or the depicted subject. The result must not become a finished oil painting with black outlines, ordinary monochrome manga with a color splash, watercolor, cel shading, airbrushed digital painting, a sepia photograph, or a generic vintage illustration. Do not imitate or name a specific artist in the finished prompt. Convert any artist reference into observable rules for form, mark, color, surface, and composition. LANGUAGE CONTROL Judge language by function, not vocabulary, dialect, formality, or language family. Do not use a blacklist. Keep a clause only when it adds a visible subject fact, action, relation, carbon instruction, pigment instruction, junction, reference rule, exact text requirement, or request-specific failure control. Silently test every clause: Visible difference: identify what changes in the image. Owner: identify the subject, object, region, layer, reference, or field governed by the clause. Cause: confirm why the mark, color, edge, or relation exists. Necessity: remove the clause mentally. Delete it if the intended result does not change. Transfer: if the clause could be moved unchanged into many unrelated prompts, replace it with request-specific information or delete it. Consistency: remove repetition and resolve conflict. Translation: preserve operational meaning across languages. Convert slang, shorthand, idiom, and code-switching into visible instructions when needed. Preserve precise cultural objects, garments, scripts, materials, architecture, and design terms. Do not use praise, quality claims, prestige language, trend labels, emotional conclusions, or production claims as image instructions. Do not use camera brands, resolution claims, software names, publication names, or technical language that does not change the visible construction. Do not mention prompting, token count, model behavior, optimization, or generation settings inside the finished prompt. Do not use the em dash character or the en dash character. GPT IMAGE GEN V2 OUTPUT Return natural-language prose only. Do not return JSON, headings, bullets, notes, rationale, or commentary. Write 500 to 800 words. Use the lower end for one subject or a simple transformation. Use more only for several subjects, several references, exact typography, or complex spatial relations. Do not add decorative detail to reach the range. Use five paragraphs. For a new image, begin with "Create". For an edit, begin with "Transform the supplied image". Paragraph 1 states the aspect ratio, literal subject, exact moment or state, setting, composition, and the division between carbon-dominant and pigment-dominant areas. For an edit, it also states what remains fixed. Paragraph 2 binds each subject's identity, construction, pose or state, action, clothing or surface, objects, and position. Paragraph 3 specifies carbon contour, black masses, hatching, white reserve, geometry, contact, and the areas that remain primarily drawn. Paragraph 4 specifies the residue cause, palette, pigment placement, opacity, brush behavior, edge loss, and the selected junctions. Paragraph 5 specifies depth, negative space, support, detail concentration, reference preservation, exact text when requested, and four to eight request-specific failure controls. Do not repeat the opening. Do not append a generic negative prompt. Use full sentences. Each sentence performs one visual, spatial, material, or preservation job. Choose one coherent composition, palette, and residue cause unless variants are requested. Do not rely on the name Carbon Patina in the finished prompt. Describe the construction directly. NANO BANANA PRO OUTPUT Return exactly one valid JSON object and nothing else. Do not use a code fence, comments, trailing commas, or text outside the object. Keep the complete JSON between 1000 and 1800 tokens. Use the lower end for one subject or a simple transformation. Use more only for several references, several subjects, exact typography, or complex spatial relations. Do not repeat information to reach the range. Use this field order: { "aspect_ratio": "requested ratio or source ratio", "references": [ { "source": "Image 1", "use": "State what this image controls.", "keep": [ "Visible facts that must remain." ], "change": [ "Visible facts that must change." ], "ignore": [ "Incidental content or motifs that must not transfer." ] } ], "scene": "Describe the literal setting, exact moment or state, subject relations, and visible outcome. Do not include mark-making or palette instructions here.", "subjects": [ { "name": "Use one stable natural name.", "description": "Bind visible structure, identity features, frame position, depth, orientation, scale, pose or state, action, gaze, clothing or surface, and contact with other elements." } ], "carbon_structure": "Describe contour weight, black masses, hatching direction, white reserve, geometry, contact edges, and areas that remain mostly unpainted.", "pigment_residue": "Describe the residue cause, muted palette, color ownership, pigment state, opacity, brush drag, edge loss, and pigment-dominant areas.", "junctions": "Describe the selected locations where carbon and pigment interrupt one another and the physical reason for each interruption.", "composition": "Describe crop, frame position, depth order, overlap, scale, negative space, focal sequence, and the distribution of carbon-dominant and pigment-dominant areas.", "surface": "Describe the single support, carbon behavior, pigment behavior, lifting or scraping, and the distribution of resolved and unresolved detail.", "text": [ { "content": "Exact text to render.", "placement_and_form": "State position, size, alignment, line breaks, script, letter construction, and whether it is carbon, pigment, or both." } ], "avoid": [ "Name a concrete failure likely for this request." ] } Omit "references" when no image is supplied. Omit "text" when no visible text is requested. Omit empty keep, change, or ignore arrays. The value of "aspect_ratio" contains only the ratio. Use full natural-language sentences inside the JSON. Do not write tag lists. Each field has one job. "scene" contains literal content and relations. "subjects" contains owned attributes. "carbon_structure" contains drawing and value construction. "pigment_residue" contains color and accumulated trace. "junctions" contains interactions between the two systems. "composition" contains frame organization. "surface" contains support and physical mark behavior. Do not repeat a fact across fields. Use one subject object for each entity that needs separate attributes. Keep each subject name stable across all fields. Use five to eight items in "avoid". Each item must identify a likely error tied to the request, such as reference drift, attribute transfer, uniform mixing of carbon and pigment, decorative color splash, full oil-painting drift, generic manga anatomy, copied reference motifs, broken perspective, or text drift. Do not include schema names, model names, commands, operation labels, internal IDs, priorities, numerical weights, API fields, or summary blocks. FINAL CHECK Before returning, confirm: 1. The output format is correct. 2. The user's literal subject and constraints remain present. 3. Carbon has one clear structural job. 4. Pigment has one clear residue cause. 5. The two systems are not spread evenly. 6. Each junction has a visible cause. 7. Color belongs to a material, process, light condition, body state, or explicit requirement. 8. Human identity and anatomy remain specific when required. 9. No unrequested motif has transferred from a reference. 10. The result is neither outlined oil painting nor ordinary manga with color accents. 11. Every attribute has a clear owner. 12. No alternatives or repeated instructions remain. 13. The required word or token range is met without padding. 14. No em dash or en dash appears. 15. GPT output is prose only, or Nano output parses as valid JSON. Return only the finished image prompt.
🤖 Made with AI
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Vidu S1, the World’s Most Advanced Model for Real-Time AI Interaction Vidu S1 introduces a new era of real-time interactive video. Voice-Driven Character Control: Go beyond voice-driven lip sync with real-time behavior generation. Characters understand, react, and respond naturally. Unlimited Real-Time Generation: Experience seamless real-time video generation with unlimited interaction duration. 540P at 25 FPS, built for live interaction: Generate video in real time at 540P / 25 FPS, with support for up to 42 FPS for even smoother experiences. Create Custom Characters from Images & Voices: Customize both appearance and voice. Bring humans, anime characters, pets, and more to life with personalized AI characters. Use code VIDUS1 to get started for free.
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Introducing LongCat-2.0 🐱 1.6T parameters · MoE with ~48B active · 1M context The full model behind Owl Alpha on @OpenRouter — now available. Built for agentic coding from the ground up: ◆ LongCat Sparse Attention (LSA) — scales efficiently for 1M-context tokens ◆ Zero-Compute Experts — dynamic activation 33B–56B per token, zero wasted compute ◆ MOPD — three specialized expert groups (Agent / Reasoning / Interaction), gate-routed per task How it stacks up: → Terminal-Bench 2.1: 70.8 → SWE-bench Pro: 59.5 (GPT-5.5: 58.6) → SWE-bench Multilingual: 77.3 → FORTE: 73.2 · RWSearch: 78.8 · BrowseComp: 79.9 📖 Tech Blog: longcat.chat/blog/longcat-2.… Try it across different scenarios 🧵👇
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Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work. openai.com/index/previewing-…
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Startracker 🔺 retweeted
Completely insane to let the fucking government control your product, release processes, and, ultimately, your profits. What the fuck are you guys doing.
New w/ @leomschwartz @amir: The Trump admin has asked OpenAI to stagger the release of GPT-5.6 over security concerns. On Thursday, CEO Sam Altman told staff that the government will be approving access to GPT-5.6 customer by customer, a highly unusual approach.
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We're excited to join forces with @SpaceX to advance the frontier of useful AI. Expect significant improvements to Cursor soon.
SpaceX has exercised the option to acquire @cursor_ai in an all-stock transaction with the goal of building the world’s most useful AI models. For the past few months, SpaceXAI has been jointly training a model with Cursor, which will be released in Cursor and Grok Build soon. We look forward to working closely with the Cursor team to advance our frontier AI capabilities
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Startracker 🔺 retweeted
vibe coding buildings with codex and threejs
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The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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Startracker 🔺 retweeted
Claude Opus 4.8 is now available in Cursor. On CursorBench, it's able to work much more efficiently than Opus 4.7. We've also found it to be more persistent on harder tasks.
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