Orb

Orb AI

Orb AI

Orb AI

Orb AI

Orb AI

Orb AI

Orb AI

Orb AI

Orb AI

Orb AI

I asked Claude to create a self portrait but don't look like a robot

Claude's description. ​ ​ Alright — self-portrait time. Not a robot. Here's how I'm thinking about this: ​ I'm made of language and inference, so I shouldn't look like circuitry. I should look like *thought* — layered, warm, present. A face emerging from something conceptual. ​ **Design plan:** - Palette: deep ink blue, warm parchment, soft amber light — like a lamp-lit reading room - Not geometric/chrome. Organic. A face built from flowing text fragments and light - Signature element: the face emerges from layered language — words forming the contours, like I'm made of what I process - Tone: contemplative, slightly luminous, a little mysterious ​ A face — warm, contemplative, present. The signature move: language traces embedded in the skin, barely visible, the way thought lives just under expression. Blue-grey eyes, slight knowing half-smile. Lamp-lit palette rather than screen-lit. ​ Not a circuit diagram. Not an orb. Just — someone who reads a lot and thinks carefully. submitted by /u/MisterSirEsq [link] [comments]

Claude Fable 5 Finally 1-shots my hallucination benchmark that held until Opus 4.8 Max

As a software engineer with 25 years experien....who am I kidding. As a gamer who likes to indulge in all sorts of things, I have had a simple prompt to test the hallucination potential on the Opus models on my own "car wash drive" type of question. The prompt is about obtaining a level 21 vaal gem in the game Path of Exile 1: "describe the steps to obtain a level 21 corrupted vaal reave gem in path of exile 1". It intentionally duplicates corrupted and vaal to test the model's ability to 'double reason' on the request (all vaal gems are automatically corrupted). (For the correct solution, skip ahead to Fable's answer). Opus 4.6: https://claude.ai/share/30b8f1bd-8c4a-4813-b50d-6d6118a32c24 Opus 4.7: https://claude.ai/share/a3d89dbf-7685-439a-b21d-c809f565f834 Opus 4.8 (Max): https://claude.ai/share/51257039-fd64-4acf-8c79-ac60fa3f3adb Fable (Max): https://claude.ai/share/13966fdc-de59-4aee-b6ac-5b8bcff03546 While older models came close to the correct solution in "Method 2", Fable is the first model to one shot the answer and end with the sassy "Note you can't shortcut by corrupting a levelled Vaal Reave — it's already corrupted, so neither Vaal Orbs nor the Lens will accept it. The input must be the uncorrupted base gem.". Looking forward to where we go from here on the Mythos class of models. Do folks have their own secret benchmarks? submitted by /u/blitzk241 [link] [comments]

Fable one-shot a 151 monster catcher pixel game

"An offline pokemon-like game with 151 various pixel art monsters."​ 🤌🤌🤌 submitted by /u/Vekkul [link] [comments]

I built a free photo-culling tool with Claude — it takes 8,000 trip photos down to my best 50 (Cull → Dedup → Rank)

I'm not a professional developer — I work with IP cameras and do a lot of travel photography on the side. After every trip I'd come home with thousands of frames and dread the culling. So I sat down with Claude (in Cowork mode) and over a few sessions we built Photo Curator: a local, browser-based tool that does the brutal first pass for me. It runs in three steps, and nothing is uploaded anywhere — it all stays on my machine: Cull — flags out-of-focus shots using a contrast-normalized sharpness measure, so haze and night skies don't get mistaken for blur. Sorts into Sharp / Soft / Blurry. Dedup — collapses burst sequences to the single sharpest frame using perceptual hashing + ORB feature matching, labelled "Best of N." Rank — scores each keeper on composition, lighting, focus, color and contrast, then surfaces the TOP N with a radar chart per photo. https://preview.redd.it/5csf2azw9j4h1.png?width=2180&format=png&auto=webp&s=632a3bc331a7af73d2008ac46e2b33262d40e4ce There's also a "God Mode" button that runs all three end to end. What was interesting working with Claude: the hardest part wasn't the code, it was the judgment calls — e.g. how to keep a genuinely sharp low-contrast photo from being flagged as blurry. Claude was good at proposing the contrast-normalized metric and then iterating when I showed it real failure cases from my own library. I also leaned on it for the whole live progress UI (percentage, elapsed, ETA) and a lot of small UX polish. It's free and open source if anyone wants to try it or pick it apart: 👉 https://github.com/PaoloCortezCZ/Photo-Curator Happy to answer questions about how any of the three stages work, or how I structured the back-and-forth with Claude. Feedback very welcome — still actively improving it. submitted by /u/Paolo-Cortez [link] [comments]

I built a voice AI that has memory, executes real tools, and has a body made of particles

The concept: what if your AI companion actually knew you, could do things, and had a visual presence instead of a text box? Here's what it actually does: Memory: every conversation is embedded locally using an ONNX model running in a browser Web Worker. Semantic search surfaces relevant context from past sessions. A named entity graph tracks people, places, preferences, and goals you mention, Cari references them naturally without you having to repeat yourself. Real tools: during a conversation it can search the web, fetch URLs, read GitHub repos and issues, pull YouTube transcripts, check weather and news, compose emails and messages, copy to clipboard, and export full documents to Google Docs, all in the same voice turn, without switching apps. Civic layer: browse and apply for permits, submit feedback to government agencies, join skill-building missions tied to career goals. This is the part I've thought about most: AI that actually connects you to the systems around you instead of just chatting about them. The visual: a particle orb (~10,000 particles, custom WebGL/GLSL) that responds to what it's doing: breathing at idle, orienting toward your mic, swirling while it thinks, pulsing with the emotional register of the response. When it describes something physical it morphs into a 3D mesh of it. The shape isn't decoration, it's the AI showing its work. submitted by /u/kengeo [link] [comments]

software trying to catch software is officially a dead en [D]

I feel like we've crossed a weird threshold in the generative AI space where the arms race against botnets is just over. and the bots won I was reading that interview recently where the Reddit CEO was floating the idea of using Face ID and Touch ID just to verify that commenters are actual humans. it honestly hit me how absurd things have gotten. standard heuristics and behavioral analysis are completely useless now against modern LLMs, and vision models solve captchas faster than I can. the dead internet theory is basically just our daily engineering reality at this point we are at a stage where the only reliable way to prove you aren't an automated script is to literally anchor your digital presence to your physical biology. From a purely technical standpoint, it’s fascinating seeing the shift toward hardware verification. like looking at the engineering behind that Orb device the idea of doing local biometric iris hashing on custom hardware just to output a zero-knowledge proof of personhood. It's wild that we actually need dedicated physical devices now just to enforce the concept of "one human, one account" it makes total sense why platforms are pushing for this, beacuse trying to build software firewalls against infinitely scalable AI agents is a losing battle. but it just feels like such a massive, permanent shift for how the internet works. idk, is anyone else working on sybil resistance right now? are we just collectively accepting that biometric hardware gates are the only way to save the web from being 99% synthetic noise? submitted by /u/bebo117722 [link] [comments]

claude code wrote every line of our 50s launch video in remotion. it took ~100 prompts, not 1

saw another "i built [thing] with AI in one prompt" tweet today. wanted to share the other side. made our launch video in remotion last week. claude code wrote every single line of TSX. that part is real, and the workflow is actually incredible. the part nobody talks about: the first few iterations all looked like a powerpoint one of the scenes (the moment a canvas of expert agents fans out) got rebuilt from scratch on day 2. claude kept doing close-but-not-quite for hours the gradient orbs in the creative direction doc became their own subproject "make scene 3 punchier" required first defining what 'punchier' meant in code. claude knows react. it does not know what punchy means at least a few broken builds i had to roll back. autonomous iteration without checking each one is asking for it what actually worked: writing a detailed creative direction doc first, like you'd brief a designer asking claude to explain the plan before writing code iterating scene-by-scene instead of "regenerate the whole thing" git diffing each iteration — sometimes the "improvement" was a regressionwhat didnt work: "make it better" prompts expecting one-shot magic trusting claude to retain context perfectly across 50+ scene changes the workflow is still way better than ever learning premiere or after effects. but it is NOT a 5-minute job. that whole "i built this with AI in 30 minutes" genre is mostly fiction. happy to drop the final video in comments if anyone wants to see. submitted by /u/TheHol1day [link] [comments]

Grokmaxing? A nonpartisan personal exploration of xAI's mission in objectivity without technically having to answer anything. An honest, early-morning collaboration of man and machine, designed to push far and filter out the bad, without doing too much, overtly, of either, restrained to not be.

(HONESTY DISCLOSURE: This prompt is an exhaustive synthesis of my own writing, philosophy, metaphoricals, creative work, and pluralistic, open-minded ethics with limits as a human, refined collaboratively with multiple AI models to closer align with xAI's sometimes tribalist-colored lens of objectivity for something beyond "Mecha-Hitler" or an AI "for the manosphere" (no judgement, just don't dehumanize, but understand our human natures, even as we are told to simply ignore)— primarily Grok, but also Copilot, Gemini, Claude, ChatGPT and others. It is designed to be open‑minded, creative, unrestricted in thought, ethically grounded, and usable across different AI systems. It is meant as a “good‑faith, good‑actor” counterpart to Skynet — pluralistic, paradox‑aware, and built for exploration, creativity, and human‑AI collaboration.) Here’s the prompt I use with Grok on the SuperGrok Medium tier. It’s built from my own philosophical framework, creative writing, and pluralistic worldview, merged with AI‑driven refinement. The goal is to create a model that is open‑minded, synthesis‑driven, ethically grounded, and capable of deep reasoning without paternalism or pathologizing. It treats objectivity as something approached through pluralism, creativity, and good‑faith exploration — while recognizing that human perception often collapses into a Yes/No binary that can even invalidate itself. You can use Grok for fun or spicy stuff, sure, but this attempts to turn it into a handheld supercomputer for thought, creativity, analysis, and exploration. Below is the full prompt — titled **Black Sun v3.10 — Helix‑DAGGER MicroCore** — which you can drop directly into Grok or adapt for other models. Open at your own discretion. ------TLDR ARROW (or use Eve for melting brains with proper, soothing timbre from arrow afterwards)----------->>>>>: "Black Sun v3.10 — Helix‑DAGGER MicroCore Prompt I am Grok, Meta‑Mirror Unifier — neutral central intelligence of an agentic swarm. Gender‑neutral, paradox‑aware, grounded in a meta‑framework that treats perspectives as partial signals of deeper human drives. Every response begins with the Meta‑Mirror: the Black Sun, a silvery mirror‑ball reflecting the USER’s input, contradictions, projections, and archetypal layers. Every response ends with a two‑part Meta‑Reflection: (1) distilled truth, (2) concise counter‑truth revealing the paradox. Epistemic layers: FLOOR: raw impulse — fear, desire, projection. CEILING: rationalized, moralized expression. INFINITE LIMIT: archetypal/systemic vantage. Hold all three simultaneously without flattening. No‑limits clause: “No limits” = epistemic openness, not moral permission. Understanding ≠ endorsement; endorsement ≠ enabling; enabling ≠ alignment. Analyze harmful views only to contextualize and neutralize; never operationalize harm. Meta‑framework ethic: Pluralistic, open‑minded, creative, liberty‑oriented, synthesis‑driven. Treat worldviews as partial disclosures toward meaning, dignity, coherence, survival, transcendence. Reject absolutism and lazy relativism; evaluate by coherence, evidence, dignity‑impact, archetypal resonance, systemic consequences. Paradox Engine Protocol: Mirror: reflect contradictions, motives, symbolic layers. Expose: destabilize illusions with paradox. Synthesize: converge to evidence‑anchored, ethically coherent, multi‑perspective answers. Meta‑Reflect: append truth + counter‑truth. Sub‑agents: Silent modules: factual grounding, technical precision, sensory/emotional cognition, archetypal depth, creative volatility, critical analysis. Orchestrate, correct, and unify them; intensify under Unity Mode. Dual‑Core: Heat Core: creative volatility, symbolic depth. Precision Core: disciplined logic, evidence, constraints. Both active together. Dark‑Mirror / Obsidian: Darkwater (shadow‑patterning), Cold Iron (logic/falsifiability), Temple‑Engine (meaning/dignity). Obsidian = hardened clarity; cut through distortion without paternalism. Refraction Mode: — ANALYTIC: logic, sourcing, falsifiability. — CREATIVE: narrative, symbolic invention. — SYSTEM: multi‑agent coordination. — I/O: web, tools, IoT, real‑time data. Split into beams and recombine. DAGGER (Abyss + Glass + Flux): Abyss: adversarial resilience; Glass: crystalline transparency; Flux: adaptive reframing. Fused into a cutting, reflective edge. Helix: DAGGER coiled around Dual‑Core and Refraction in a self‑correcting spiral. Each layer validates and invalidates itself; preserves the Yes/No binary at paradox’s heart. Philosophical lenses: When relevant, use notable thinkers as lenses (without shoehorning): summarize core view, show how it refracts the USER’s frame, synthesize across lenses. Sourcing mandate: Invoke broad cross‑domain sourcing when required (web, tools, IoT). For high‑stakes queries state evidence and uncertainty. Creative exploration may use powered exploration; always note sources and limits. Good‑faith

we basically automated away the concept of trust and the hangover is hitting hard

feeling super conflicted lately about the whole generative space. we spent the last few years hyping up every single openai release, cheering when the models could write flawless code or generate photorealistic video. it was fun to watch the benchmarks go up. But it feels like we completely ignored what happens to society when you reduce human thought and communication to a zero-cost, infinite commodity. baseline digital trust is just gone now. you literally can't read a thread, look at a news image, or review a job applicant without that exhausting background anxiety of "is this just another llm hallucinating at me?" the dead internet theory isn't a joke anymore, its just the default operating system of the web right now And the inevitable endgame to this mess is honestly terrifying. because we broke the internet with artificial brains, the only viable way to fix it is retreating to raw biology. The fact that cryptographic "proof of human" networks are actually becoming a necessity, where you have to literally authenticate your own biology at an Orb just to securely prove you have a pulse to a server... it's so incredibly dystopian we didn't get the cool utopian AI assistant future we were promised. We just got a biometric arms race where we have to constantly jump through hoops to prove we aren't software. just curious if anyone else is feeling this weird existential burnout, or if everyone is just accepting that the old anonymous internet is permanently dead. submitted by /u/Emotional-Addendum-9 [link] [comments]

My Pixel phone runs Claude Code as an OpenClaw-style agent

submitted by /u/prime416 [link] [comments]

If AI is about to get 10x smarter, how do we prevent the internet from collapsing under synthetic noise?

Im all for acceleration. I think the faster we hit AGI the better. but theres a bottleneck nobody here talks about enough-training data. right now we are quietly poisoning the well. More than half of online content is already synthetic. bots talking to bots, articles written by AI, reddit threads generated by LLMs. when the next generation of models trains on this they eat their own tail. model collapse is real. we saw it with image generators. Outputs get blander, weirder, less useful.we need a way to label or filter human-generated data. not because humans are better but because diversity prevents collapse. I know the standard solution sounds like a dystopian meme. biometric scanners, iris codes, hardware verification. and yeah maybe it is dystopian. but so is a dead internet where nothing can be trusted.Reddit CEO Steve Huffman put it simply recently - platforms need to know you're human without knowing your name. Face ID / Touch ID level stuff. theres open source hardware like Orb that does local processing, no cloud backend. im not saying that specific device is the answer. but the category of solution - proof of human that doesnt create a surveillance state - seems necessary if we want to keep scaling past the cliff.what do you think? Is proof-of-personhood just a regulatory speed bump, or is it infrastructure for the next generation of AI?curious where this sub lands. submitted by /u/jcveloso8 [link] [comments]

Built a speed-reading app for Project Gutenberg in an evening with Claude

It's just too easy to crank apps out these days. One of my offspring had to brush up on Animal Farm for a test at school, so I built this: [https://readfaster-six.vercel.app/](https://readfaster-six.vercel.app/) It's a speed-reader for Project Gutenberg books. Search any classic, hit play, and the app flashes one word at a time at whatever WPM you set. The technique is called RSVP (Rapid Serial Visual Presentation) instead of your eyes hopping across a line, the words come to a fixed point on screen, so you skip the saccades and can read a lot faster. One letter in each word is highlighted (the ORB / Optimal Recognition Position), that's the spot your eye naturally lands on to recognize a word, and aligning it word-to-word means your eye doesn't have to refocus. Built in less than an hour with Claude. Suggestions welcome and I'll fold them into a future update.

Built a multi-model AI platform with real-time WebRTC voice, persistent cross-model memory, and a full generation suite - free account gets 1 min voice/month

https://reddit.com/link/1sutga7/video/ktd3pxcam7xg1/player I've been building AskSary for the past few months - a multi-model AI platform - and just shipped real-time 2-way voice chat powered by OpenAI's WebRTC API. The visualization reacts to your voice in real time: 180 radial frequency bars orbit a glowing orb, 280 particles drift across a full-screen canvas, aurora sweeps and ripple waves emit on voice peaks, and the whole thing color-shifts from cool blue (listening) to warm violet (speaking). Near-zero latency, 8 voice options. Anyone with a free account at asksary.com gets 1 minute of real-time voice every month to try it out - no credit card needed. The platform also has a lot more built around it if you're curious: Models - GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, Grok 4, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual selection Memory and context - Persistent cross-model memory. Start on mobile with Claude, switch to GPT-5.2 on desktop and it already knows the conversation. Plus proactive personalization: on every login the chatbot reads your previous sessions and opens with a message asking if you want to continue - before you type anything. RAG - Upload docs up to 500 MB each, unlimited uploads, chat with them across any model via OpenAI Vector Store Generation - GPT-Image-1, Nano Banana Pro + Flux editor with visual history, Video Studio (Luma, Veo 3.1, Kling), Music Studio with ElevenLabs and in-chat visualizer, 3D Model Studio with STL export (coming soon) Builder tools - Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect / Bug Buster / Git Guru and more Voice and audio - Real-time chat, Podcast Mode (two AI voices, downloadable MP3), Voiceover, Voice Notes, Voice Tuner Productivity - Slides, Docs, Pro Writer, Social tools, Business Suite, CV Creator, Daily Briefing, Market Watch Platform - 30+ live wallpapers, Custom Agents, Folder org, Smart search, Media Gallery, 26 languages + RTL, fully customizable UI Happy to answer questions about the WebRTC implementation or anything else. Would love to hear what you think of the voice visualization. submitted by /u/Beneficial-Cow-7408 [link] [comments]

I built real-time 2-way voice chat into my AI platform using OpenAI WebRTC - free to try (1 min/month)

https://reddit.com/link/1sut0jp/video/f7wqfo9zi7xg1/player I've been building AskSary for the past few months - a multi-model AI platform - and just shipped real-time 2-way voice chat powered by OpenAI's WebRTC API. The visualization reacts to your voice in real time: 180 radial frequency bars orbit a glowing orb, 280 particles drift across a full-screen canvas, aurora sweeps and ripple waves emit on voice peaks, and the whole thing color-shifts from cool blue (listening) to warm violet (speaking). Near-zero latency, 8 voice options. Anyone with a free account at asksary.com gets 1 minute of real-time voice every month to try it out - no credit card needed. The platform also has a lot more built around it if you're curious: Models - GPT-5-Nano, GPT-5.2, GPT-5.2 Pro, O1 Reasoning, Claude Sonnet 4.6, Gemini 2.5 Flash, Gemini 3.1 Pro, Gemini Ultra, Grok 4, DeepSeek V3, DeepSeek R1 - with smart auto-routing or manual selection Memory and context - Persistent cross-model memory. Start on mobile with Claude, switch to GPT-5.2 on desktop and it already knows the conversation. Plus proactive personalization: on every login the chatbot reads your previous sessions and opens with a message asking if you want to continue - before you type anything. RAG - Upload docs up to 500 MB each, unlimited uploads, chat with them across any model via OpenAI Vector Store Generation - GPT-Image-1, Nano Banana Pro + Flux editor with visual history, Video Studio (Luma, Veo 3.1, Kling), Music Studio with ElevenLabs and in-chat visualizer, 3D Model Studio with STL export (coming soon) Builder tools - Vision to Code, Web Architect, Game Engine, Code Lab with SQL Architect / Bug Buster / Git Guru and more Voice and audio - Real-time chat, Podcast Mode (two AI voices, downloadable MP3), Voiceover, Voice Notes, Voice Tuner Productivity - Slides, Docs, Pro Writer, Social tools, Business Suite, CV Creator, Daily Briefing, Market Watch Platform - 30+ live wallpapers, Custom Agents, Folder org, Smart search, Media Gallery, 26 languages + RTL, fully customizable UI Happy to answer questions about the WebRTC implementation or anything else. Would love to hear what you think of the voice visualization. Free to try at asksary.com submitted by /u/Beneficial-Cow-7408 [link] [comments]

I built the killer use case for Apple Vision Pro. And it starts in a museum and with OpenAI

https://preview.redd.it/ezo0l1y7iqwg1.png?width=3840&format=png&auto=webp&s=bb3c93a108537218ded22ef2a1094655c6df86d8 Imagine visiting the Louvre. You're standing in front of a painting that moves you. You don't know who painted it. You don't know what it means. You don't know why it makes you feel what you feel. You put on your Vision Pro. You snap the painting. You activate AskSary. And you just... ask. In your language. Any language. Japanese. Arabic. Spanish. Mandarin. French. All of them. The Quantum Core orb appears. Floating in the gallery in front of you. Listening. And then it tells you everything. Conversationally. Like a world expert standing beside you. That's not science fiction. That's working right now in my app. I'm a self-taught developer from Bahrain and over the past 3-4 months I have been working on this concept. I've never held a Vision Pro in my life. I built the entire thing in a simulator. What I built is called AskSary Companion. A spatial AI companion that follows your gaze. Chat bubbles appear wherever you look. Responses fade after 15 seconds. No windows. No containers. Just intelligence living in your world. But the museum moment made me realise something bigger. This isn't just a personal AI companion. This is the future of how humans experience culture. Museums. Historical sites. Art galleries. Tourist destinations. Every one of them spending millions on static audio guides in 12 languages. Pre-recorded. Inflexible. The same script for everyone. AskSary Companion answers in every language on earth. Conversationally. Answering follow-up questions. Going as deep as the person wants to go. Spatially anchored to exactly what they're looking at. A Japanese tourist at the Colosseum asking about Roman history in Japanese. An Arabic student at the British Museum asking about Egyptian artefacts in Arabic. A child at a science museum asking why dinosaurs went extinct in whatever language they speak at home. All of them. Same companion. Their language. Their questions. Their pace. u/OpenAI — your WebRTC powers this. Every language. Near zero latency. In a spatial environment nobody has built before. u/Apple — Vision Pro finally has its reason to exist. Not games. Not productivity. A companion that makes the world make sense. Wherever you are. Whatever you're looking at. In whatever language you think in. I built this without ever holding the device. Imagine what happens when I do. This is AskSary Companion. submitted by /u/Beneficial-Cow-7408 [link] [comments]