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freaking massive! LPM 1.0 -17B DiT for real-time, full-duplex conversational video generation. Avatars on huge steroids. - synchronized speaking, listening - 0.35s latency; - identity consistency for 10+ mins; - DMD distillation for 2-step online generation; - 480P/720P at 24 fps LiveAvatar, Kling-Avatar-2, OmniHuman -cooked.

Wildminder

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19,038 views • 4 months ago •via X (Twitter)

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Listen, speak, handle interruptions, and call tools in one live conversation. 🎙️ Introducing NVIDIA-NemotronLabs-VoiceChat-11B, NVIDIA’s end-to-end full-duplex model for real-time voice agents. 🤖 🏆 It ranks #2 among open full-duplex models on both VoiceBench and Full-Duplex-Bench 1.0. ⚡ Natural turn-taking responds in ~448 ms, while barge-in lets users interrupt the model with ~480 ms latency. 🛠️ The first open full-duplex model with live tool calling. One unified system handles speech understanding, generation, transcription, and tool execution while keeping the conversation flowing. 🧠 Built with a Fast Conformer, Nemotron Nano v2, and a TTS decoder, trained on ~550K hours of real and synthetic speech. 📜 Research use only. OpenMDW 1.1.

Listen, speak, handle interruptions, and call tools in one live conversation. 🎙️ Introducing NVIDIA-NemotronLabs-VoiceChat-11B, NVIDIA’s end-to-end full-duplex model for real-time voice agents. 🤖 🏆 It ranks #2 among open full-duplex models on both VoiceBench and Full-Duplex-Bench 1.0. ⚡ Natural turn-taking responds in ~448 ms, while barge-in lets users interrupt the model with ~480 ms latency. 🛠️ The first open full-duplex model with live tool calling. One unified system handles speech understanding, generation, transcription, and tool execution while keeping the conversation flowing. 🧠 Built with a Fast Conformer, Nemotron Nano v2, and a TTS decoder, trained on ~550K hours of real and synthetic speech. 📜 Research use only. OpenMDW 1.1.

ModelScope

21,832 views • 14 days ago

Meet LongCat-Video-Avatar 1.5🐱—our upgraded, open-source digital human framework. Built for real production, not just short demos. What's New: 🔹 Upgraded Audio Encoder: Replaces Wav2Vec2 with Whisper-Large, yielding significantly smoother and more natural lip dynamics. 🔹 Production-Ready Stability: Achieves accurate lip-synchronization, full-body temporal stability, and robust long-video generation with strict identity consistency. 🔹 Stylized Domain Generalization: Robustly generalizes to anime, animals, and complex real-world conditions such as multi-person interactions and object handling. 🔹 Efficient 8-Step Inference: Advanced step distillation accelerates inference to 8 NFE, balancing cost-effective serving with exceptional visual fidelity. 📊 LongCat-Video-Avatar 1.5 performs strongly in realism, naturalness, and stability, outperforming leading open-source models and closed systems. 🐱 Avatar 1.5 framework is now open source: 🔗 Weights & Code: 🔗 HuggingFace: 🔗 Tech Report: 🔗 Project Page:

Meituan LongCat

31,310 views • 2 months ago

The day of Parallel Avatars Manifest has come! Sharing some thoughts on them and their place within the Parallel ecosystem… 1. Avatars have immediate utility within the BETA release of the TCG. Matching the Parallel of the Avatar you use to the Parallel of the deck your playing [in ranked matches] will boost $PRIME emissions. Given this, consider if you want one for your favourite Parallel or one for each Parallel to have flexibility in what deck you play. Initial emissions will be set to 11% to ensure all systems are functioning as intended in BETA. 2. Beyond their function in the TCG, Avatars represent a new cornerstone for Parallel as we aspire to more immersive games and story telling. Although we plan to release expansions to the TCG [Planetfall is in development] the Avatars represent our first step towards ‘more ways to play’ and a persistent identity for gamers within the Parallel ecosystem. 3. We are working on finishing full bodies and a migration of Avatars into UE5. This is a process that will take time but ultimately will unlock their potential for use in content and games like Colony. 4. If you obtained an Avatar, you can pay a fee in $PRIME to peak and reveal the door of the Parallel you got but can’t peak to reveal their identity. If you do choose to peak at your avatar, Opensea will reflect this so everyone is aware which Parallel the Avatar belongs to. 5. Although there is varying rarity to the Avatars, there are six hand drawn 1/1 Avatars in the collection. One for each Parallel and one mystery. Special recognition is due to the the team that developed these 3D generated Avatars. It was no small task to develop this program and the detail that has gone into it is unmatched. I am certain it will speak for itself upon reveal. In true Parallel fashion, we stand in a category of our own and bring you something unlike anything the space has seen before. Thank you for your support and may your pulls be Prime. //

//Kalos

25,585 views • 3 years ago

Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Kanika

17,726 views • 2 months ago

Cerebras inference is very fast. So fast that it changes how we think about configuring our LLMs for voice agent use cases. Kimi K2.6 is a 1T parameter reasoning model that Cerebras serves at 650 - 1,000 tokens per second (end-to-end throughput), with time to first token metrics as low as 150ms (latency). These numbers are two to three times faster than other similarly capable models. The biggest lever we get from this kind of speed is that we can use the model in reasoning mode, and still have excellent "time to first non-thinking token." This solves a big pain point we have in 2026 for voice agent use cases. Almost all recent innovation in post-training has focused on making models good at reasoning ("test time compute"). This is great, but it makes the user-facing model latency much, much slower. Which is a problem for conversational voice agents. We can run Kimi K2.6 with reasoning turned on, and get responses faster than other models produce with reasoning disabled. On my 30-turn voice agent benchmark, Kimi K2.6 with reasoning enabled ties GPT 5.1 and Haiku 4.5 with reasoning disabled, and is still about 200ms seconds faster! On my primary task agent benchmark, Kimi K2.6 is now the #2 model. It ranks just behind Gemini 3.5 Flash in "high" reasoning mode, and tied with GLM 5, Sonnet 4.6, and GPT 5.4 with reasoning set to "low." But Kimi K2.6 completes each turn in the agent loop in under 500ms. The other four models are all at least 3x slower. (Models only qualify for this benchmark if they can complete task turns at a P50 <4s.) A couple of other things that this speed buys us, for production voice agents: - Tool calls happen fast enough that we don't have to work around tool call latency in our pipeline design. - We can prompt the model to output structured data at the beginning of a response, followed by plain text for voice generation. This opens up possibilities like asking the model to do complex classification/generation tasks that influence the rest of the pipeline. For example, the model could create a detailed style prompt for a steerable TTS model, for each individual conversation turn. And, of course, you can use Kimi K2.6 with reasoning turned off. Cerebras calls this "instant" mode. Here's a video of a Cerebras Kimi K2.6 voice agent with voice-to-voice response time, measured at the client, under 500ms. This is the true response latency as perceived by the user, including all network and audio codec overhead, transcription and turn detection, Kimi K2.6 token generation, and voice generation. 500ms is, effectively, instant. So the Cerebras naming for this mode is a propos. :-)

Cerebras inference is very fast. So fast that it changes how we think about configuring our LLMs for voice agent use cases. Kimi K2.6 is a 1T parameter reasoning model that Cerebras serves at 650 - 1,000 tokens per second (end-to-end throughput), with time to first token metrics as low as 150ms (latency). These numbers are two to three times faster than other similarly capable models. The biggest lever we get from this kind of speed is that we can use the model in reasoning mode, and still have excellent "time to first non-thinking token." This solves a big pain point we have in 2026 for voice agent use cases. Almost all recent innovation in post-training has focused on making models good at reasoning ("test time compute"). This is great, but it makes the user-facing model latency much, much slower. Which is a problem for conversational voice agents. We can run Kimi K2.6 with reasoning turned on, and get responses faster than other models produce with reasoning disabled. On my 30-turn voice agent benchmark, Kimi K2.6 with reasoning enabled ties GPT 5.1 and Haiku 4.5 with reasoning disabled, and is still about 200ms seconds faster! On my primary task agent benchmark, Kimi K2.6 is now the #2 model. It ranks just behind Gemini 3.5 Flash in "high" reasoning mode, and tied with GLM 5, Sonnet 4.6, and GPT 5.4 with reasoning set to "low." But Kimi K2.6 completes each turn in the agent loop in under 500ms. The other four models are all at least 3x slower. (Models only qualify for this benchmark if they can complete task turns at a P50 <4s.) A couple of other things that this speed buys us, for production voice agents: - Tool calls happen fast enough that we don't have to work around tool call latency in our pipeline design. - We can prompt the model to output structured data at the beginning of a response, followed by plain text for voice generation. This opens up possibilities like asking the model to do complex classification/generation tasks that influence the rest of the pipeline. For example, the model could create a detailed style prompt for a steerable TTS model, for each individual conversation turn. And, of course, you can use Kimi K2.6 with reasoning turned off. Cerebras calls this "instant" mode. Here's a video of a Cerebras Kimi K2.6 voice agent with voice-to-voice response time, measured at the client, under 500ms. This is the true response latency as perceived by the user, including all network and audio codec overhead, transcription and turn detection, Kimi K2.6 token generation, and voice generation. 500ms is, effectively, instant. So the Cerebras naming for this mode is a propos. :-)

kwindla

40,593 views • 2 months ago

We're giving away the prompt we used to make this AI UGC video. Getting Sora 2 to output hyper-realistic, consistent footage isn't just about the tool. The prompt has to be structured in a very specific way... character description, cinematography, camera motion, lighting, dialogue, audio, authenticity keywords. Get it wrong and the footage looks off. Get it right and everything downstream becomes easier. We’re sharing the exact Claude template we use as step one of our AI UGC workflow. It takes a basic brief (who the subject is, where they are, what they're saying, what device it should look like, their accent) and structures all of that into the exact format Sora 2 needs automatically. It sits at the start of a full workflow that runs through Sora 2 for the hook, ElevenLabs for voice cloning, ChatGPT for subject consistency, Nano Banana for B-roll generation and Kling for animation. The whole thing is broken down in the latest D2C Diaries episode. But this prompt is the foundation. Without it, the rest of the workflow is harder than it needs to be. If you're building in this space or testing AI UGC for your brand, this is worth having. Retweet this post and comment PROMPT and I’ll send it over.

Joe Marston | Ecom Growth

17,508 views • 5 months ago

OpenAI released Sora 2, their new state of the art video and audio generation model, calling it the GPT-3.5 moment for video - The model generates videos up to 10 seconds long (default 9:16 vertical) with synchronized audio including difficult physics simulations, where mistakes the model makes frequently appear to be mistakes of the internal agent that Sora 2 is implicitly modeling rather than physics-breaking errors - Cameos let users record a short one-time video-and-audio capture where they read a verification phrase, then the model can insert them into any Sora-generated environment with accurate appearance and voice, where only they decide who can use their cameo and they can revoke access or remove any video that includes it at any time including drafts created by other people - The app functions as a social iOS platform not optimized for time spent but explicitly designed to maximize creation not consumption, heavily favoring content from people you follow or interact with and videos the model thinks will inspire your own creations, with features like remixing other posts and direct messaging to share videos privately - Safety measures include limited invitation rollout, restricting image uploads that feature a photorealistic person, blocking all video uploads, no video-to-video transformation at launch, stricter safeguards for minors with default scroll limits, C2PA metadata and visible watermarks on all outputs, and evaluations showing 95.1-99.7% effectiveness at blocking unsafe content - Initial rollout covers the US and Canada with plans to expand while the UK, EU, and Australia are not included at launch, available for free with generous limits though subject to compute constraints with the only planned monetization being optional payment for extra videos if demand exceeds compute, ChatGPT Pro users get access to higher quality Sora 2 Pro model and API release planned for future

OpenAI released Sora 2, their new state of the art video and audio generation model, calling it the GPT-3.5 moment for video - The model generates videos up to 10 seconds long (default 9:16 vertical) with synchronized audio including difficult physics simulations, where mistakes the model makes frequently appear to be mistakes of the internal agent that Sora 2 is implicitly modeling rather than physics-breaking errors - Cameos let users record a short one-time video-and-audio capture where they read a verification phrase, then the model can insert them into any Sora-generated environment with accurate appearance and voice, where only they decide who can use their cameo and they can revoke access or remove any video that includes it at any time including drafts created by other people - The app functions as a social iOS platform not optimized for time spent but explicitly designed to maximize creation not consumption, heavily favoring content from people you follow or interact with and videos the model thinks will inspire your own creations, with features like remixing other posts and direct messaging to share videos privately - Safety measures include limited invitation rollout, restricting image uploads that feature a photorealistic person, blocking all video uploads, no video-to-video transformation at launch, stricter safeguards for minors with default scroll limits, C2PA metadata and visible watermarks on all outputs, and evaluations showing 95.1-99.7% effectiveness at blocking unsafe content - Initial rollout covers the US and Canada with plans to expand while the UK, EU, and Australia are not included at launch, available for free with generous limits though subject to compute constraints with the only planned monetization being optional payment for extra videos if demand exceeds compute, ChatGPT Pro users get access to higher quality Sora 2 Pro model and API release planned for future

Tibor Blaho

62,482 views • 10 months ago

Give your voice agents a face. Introducing Lemon Slice-2 – the world's first interactive talking AI video model Think of it as a face layer for your voice agents, available today in production as an API or an embeddable widget. What makes Lemon Slice-2 great: → Easy: All you need is 1 photo → Expressive: hands and full body motion → Any character and style: if it has a face, Lemon Slice-2 can animate it Under the hood: we trained a custom, 20B-parameter video diffusion transformer, streaming at 20fps on a single GPU. Infinite-length video generation with no error accumulation. Talk to the demo avatars on our homepage. Or, add your own interactive avatar to your website. Companies and creators are already building video agents that are: → Customer support agents who screen-share and show you where to click → Lead qualification agents that replace forms with real conversations → AI personal shoppers who try on clothes and guide purchases People don't engage with chat bubbles. They engage with faces. And now you can have a 24/7 spokesperson that’s the face of your brand. We’ve partnered with , Daily, and Modal to make this happen. As part of this launch, we’re giving away a guide: “How to Add a High-Converting Video Agent to Your Website in under 10 Minutes” Retweet and comment "LEMON SLICE" below and I'll send it over 🍋

Lina Colucci

1,163,226 views • 8 months ago

I turned Claude Opus 4.7 into a 24/7 trading bot that places real trades, manages stops, and sends me hourly recaps. Save this video. It's the complete tutorial. And to make the setup even easier, I've prepared my exact step-by-step guide. Normally priced at $999, but it's free for 24 hours. To get it: 1. Comment "Money". 2. Like and Retweet this post. 3. Follow me Himanshu Kumar, so i can DM you. You only need Claude Opus 4.7 + 1 laptop + 2 hours to set up once. After that the bot runs forever. Watch the video for the full walkthrough. Use my guide to skip the mistakes and set it up in half the time. Claude will do below for you: Researches the market before you wake up Places real trades via Alpaca when the bell rings Scans midday for new opportunities Manages all your stop-losses automatically Summarise your day after close Sends a full weekly review every Friday No Python process running anywhere. No servers to maintain. Claude IS the bot. 5 cloud routines handle your entire trading day. Memory lives in markdown files on your main branch. Hard strategy rules gate every single order before it fires. You don't touch a single button. You Must Follow me Himanshu Kumar, so i can DM you. Save the video. Grab the guide. Set it up tonight.

I turned Claude Opus 4.7 into a 24/7 trading bot that places real trades, manages stops, and sends me hourly recaps. Save this video. It's the complete tutorial. And to make the setup even easier, I've prepared my exact step-by-step guide. Normally priced at $999, but it's free for 24 hours. To get it: 1. Comment "Money". 2. Like and Retweet this post. 3. Follow me Himanshu Kumar, so i can DM you. You only need Claude Opus 4.7 + 1 laptop + 2 hours to set up once. After that the bot runs forever. Watch the video for the full walkthrough. Use my guide to skip the mistakes and set it up in half the time. Claude will do below for you: Researches the market before you wake up Places real trades via Alpaca when the bell rings Scans midday for new opportunities Manages all your stop-losses automatically Summarise your day after close Sends a full weekly review every Friday No Python process running anywhere. No servers to maintain. Claude IS the bot. 5 cloud routines handle your entire trading day. Memory lives in markdown files on your main branch. Hard strategy rules gate every single order before it fires. You don't touch a single button. You Must Follow me Himanshu Kumar, so i can DM you. Save the video. Grab the guide. Set it up tonight.

Himanshu Kumar

70,748 views • 3 months ago

In our research lab, we are building “real-time dreaming” - the ability to generate fully playable video worlds prompted from any text or image. Our real-time, action conditioned world model (currently running internally at 16fps at 832x480p) is trained on a combination of data, including proprietary Roblox 3D avatar/world interaction data. World models are different from multiplayer engines in that they store state and memory in video latents. Roblox is multiplayer, and we are actively researching optimal ways to simultaneously store state for thousands of players, and keep them in sync with their environment. Our world model leverages database technology which stores all user interactions on Roblox in a vector format that can be used to re-render video and interaction from any camera angle. We see several immediate uses for our Roblox world model. We will use it side-by-side text, image and video prompts as a way to launch auto-generation of immersive worlds. In Roblox Studio, a creator could walk around and use prompts to “paint” a world and then convert it into a 3D representation or direct to Roblox native as a way for many people to play simultaneously. All of this comes alive as we explore the notion of a “Dream Theater” - where one user is dreaming, while others watch and prompt them. 2/4

Roblox

4,400,858 views • 6 months ago

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

Sawyer Merritt

140,241 views • 10 months ago

📢 Facepunch x Dreamhack Birmingham In case you missed it, we spent the weekend at the NEC with DreamHack Birmingham supporting the UK games industry and it’s very few events! We headed to the NEC to support the UK industry and get our latest projects - S&box and Rust Mobile - into the hands of players. From sponsoring the indie zone to getting upcoming and old games on screens in real life, it was a massive weekend for the team while we showcased and connected with new and old fans and creators. There really is no substitute for watching real people play your work live, even if it means handling a few unban requests in person. 😅 The Verdict: ✅ Sausage Survivors 2 (in s&box) is a crowd favourite. ✅ Chippy arcades are surprisingly addictive. ✅ Real-world conversations are one of the best motivators for development. And are the ones we sometimes experience the least! Great to meet the community and support the next generation of indie devs, as well as experience the passionate competitive scene. Watch the full recap video below!

📢 Facepunch x Dreamhack Birmingham In case you missed it, we spent the weekend at the NEC with DreamHack Birmingham supporting the UK games industry and it’s very few events! We headed to the NEC to support the UK industry and get our latest projects - S&box and Rust Mobile - into the hands of players. From sponsoring the indie zone to getting upcoming and old games on screens in real life, it was a massive weekend for the team while we showcased and connected with new and old fans and creators. There really is no substitute for watching real people play your work live, even if it means handling a few unban requests in person. 😅 The Verdict: ✅ Sausage Survivors 2 (in s&box) is a crowd favourite. ✅ Chippy arcades are surprisingly addictive. ✅ Real-world conversations are one of the best motivators for development. And are the ones we sometimes experience the least! Great to meet the community and support the next generation of indie devs, as well as experience the passionate competitive scene. Watch the full recap video below!

facepunch

18,735 views • 4 months ago

If an AI can control 1,000 robots to perform 1 million skills in 1 billion different simulations, then it may "just work" in our real world, which is simply another point in the vast space of possible realities. This is the fundamental principle behind why simulation works so effectively for robotics. Real-world teleoperation data scales linearly with human time (< 24 hrs/robot/day). Sim data scales exponentially with compute. There are 3 big trends for simulators in the near future: 1. Massive parallelization on large clusters. Physics equations are "just" matrix math at their core. I hear GPUs are good at matrix math 🔥. One can run 100K copies of simulation on a single GPU. To put this number in perspective: 1 hour of wallclock compute time gives a robot 10 years (!!) of training experience. That's how Neo was able to learn martial arts in a blink of an eye in the Matrix Dojo. 2. Generative graphics pipeline. Traditionally, simulators require a huge amount of manual effort from artists: 3D assets, textures, scene layouts, etc. But every component in the workflow can be automated: text-to-image, text-to-3D mesh, and LLMs that write Universal Scene Description (USD) files as a coding exercise. RoboCasa is one example of a prior work. 3. End2end neural net that acts as simulator itself. This is still bluesky research and quite far from replacing a graphics pipeline, but we are seeing some exciting signs-of-life based on video gen models: Sora, Veo2, CogVideoX, Hunyuan (text-to-video); and action-driven world models: GameNGen, Oasis, Genie-2, etc. Genesis does great on (1) for certain tasks, shows good promises on (2), and could become a data generation tool for reaching (3). Its sim2real capabilities for locomotion are good, but there's still a long way to go for contact-rich, dexterous manipulation. It shows a bold vision and is on the right path to providing a virtual cradle for embodied AI. It is open-source and puts a streamlined user journey at the front and center. I had the privilege to know Zhou Xian and play a small part in his project since a year ago. Xian has been crunching code non-stop on Genesis with a very small group of core devs. He often replied to my messages at 3 am. Zhenjia Xu from our GEAR team helped with sim2real experiments in his spare time. Genesis is truly a grassroot effort with an intense focus on quality engineering. Nothing gives me more joy than seeing the simulation ecosystem bloom. Robotics should be a moonshot initiative owned by all of humanity. Congratulations.

If an AI can control 1,000 robots to perform 1 million skills in 1 billion different simulations, then it may "just work" in our real world, which is simply another point in the vast space of possible realities. This is the fundamental principle behind why simulation works so effectively for robotics. Real-world teleoperation data scales linearly with human time (< 24 hrs/robot/day). Sim data scales exponentially with compute. There are 3 big trends for simulators in the near future: 1. Massive parallelization on large clusters. Physics equations are "just" matrix math at their core. I hear GPUs are good at matrix math 🔥. One can run 100K copies of simulation on a single GPU. To put this number in perspective: 1 hour of wallclock compute time gives a robot 10 years (!!) of training experience. That's how Neo was able to learn martial arts in a blink of an eye in the Matrix Dojo. 2. Generative graphics pipeline. Traditionally, simulators require a huge amount of manual effort from artists: 3D assets, textures, scene layouts, etc. But every component in the workflow can be automated: text-to-image, text-to-3D mesh, and LLMs that write Universal Scene Description (USD) files as a coding exercise. RoboCasa is one example of a prior work. 3. End2end neural net that acts as simulator itself. This is still bluesky research and quite far from replacing a graphics pipeline, but we are seeing some exciting signs-of-life based on video gen models: Sora, Veo2, CogVideoX, Hunyuan (text-to-video); and action-driven world models: GameNGen, Oasis, Genie-2, etc. Genesis does great on (1) for certain tasks, shows good promises on (2), and could become a data generation tool for reaching (3). Its sim2real capabilities for locomotion are good, but there's still a long way to go for contact-rich, dexterous manipulation. It shows a bold vision and is on the right path to providing a virtual cradle for embodied AI. It is open-source and puts a streamlined user journey at the front and center. I had the privilege to know Zhou Xian and play a small part in his project since a year ago. Xian has been crunching code non-stop on Genesis with a very small group of core devs. He often replied to my messages at 3 am. Zhenjia Xu from our GEAR team helped with sim2real experiments in his spare time. Genesis is truly a grassroot effort with an intense focus on quality engineering. Nothing gives me more joy than seeing the simulation ecosystem bloom. Robotics should be a moonshot initiative owned by all of humanity. Congratulations.

Jim Fan

157,343 views • 1 year ago

Over the past two years, AI video models have been competing on realism, resolution, and duration. But no matter how impressive the results look, we remain passive viewers: we press play, watch the clip, and it ends. AlayaWorld Alaya Lab is attempting something fundamentally different. Instead of generating a fixed video, it generates a world that continues to unfold as you move through it. These three demos show the same journey toward a green village rendered in three distinct styles: photorealistic, oil painting, and line art. As the camera moves forward, the model continues generating the road, fences, trees, and distant village. This is not simply an existing video with different filters applied. The environment is generated continuously along the camera trajectory, allowing the scene to develop as the user explores it. AlayaWorld streams video at 720p and 24 FPS while supporting camera movement and viewpoint control. The real breakthrough is not just image quality. Once generation becomes fast enough to respond within an interactive loop, the user is no longer merely watching a video. They become a participant inside the generated world. The world can also respond to new instructions. During generation, users can introduce prompts that trigger spells, summon characters, create explosions, or transform the environment. Most video models follow an initial prompt and produce a predetermined clip. AlayaWorld can respond to changing intent while the world is still running, allowing subsequent events to evolve according to the user’s commands. Generating an attractive frame is relatively easy. Maintaining a coherent world over time is much harder. As a video model repeatedly predicts the next frame, small errors can accumulate until roads, buildings, and objects begin to distort or disappear. AlayaWorld combines spatial memory with compressed historical context, helping the model remember both where things are and what has already happened. This enables stable generation lasting more than one minute while improving consistency when the camera leaves an area and later returns. This may be the next step for AI video: not simply generating a longer movie, but generating a world that can be explored, changed, and interacted with. AlayaWorld is developed by Alaya Lab. The team is progressively releasing its inference code, training code, and datasets, with an online experience expected to launch near the end of the month. Project page:

Over the past two years, AI video models have been competing on realism, resolution, and duration. But no matter how impressive the results look, we remain passive viewers: we press play, watch the clip, and it ends. AlayaWorld Alaya Lab is attempting something fundamentally different. Instead of generating a fixed video, it generates a world that continues to unfold as you move through it. These three demos show the same journey toward a green village rendered in three distinct styles: photorealistic, oil painting, and line art. As the camera moves forward, the model continues generating the road, fences, trees, and distant village. This is not simply an existing video with different filters applied. The environment is generated continuously along the camera trajectory, allowing the scene to develop as the user explores it. AlayaWorld streams video at 720p and 24 FPS while supporting camera movement and viewpoint control. The real breakthrough is not just image quality. Once generation becomes fast enough to respond within an interactive loop, the user is no longer merely watching a video. They become a participant inside the generated world. The world can also respond to new instructions. During generation, users can introduce prompts that trigger spells, summon characters, create explosions, or transform the environment. Most video models follow an initial prompt and produce a predetermined clip. AlayaWorld can respond to changing intent while the world is still running, allowing subsequent events to evolve according to the user’s commands. Generating an attractive frame is relatively easy. Maintaining a coherent world over time is much harder. As a video model repeatedly predicts the next frame, small errors can accumulate until roads, buildings, and objects begin to distort or disappear. AlayaWorld combines spatial memory with compressed historical context, helping the model remember both where things are and what has already happened. This enables stable generation lasting more than one minute while improving consistency when the camera leaves an area and later returns. This may be the next step for AI video: not simply generating a longer movie, but generating a world that can be explored, changed, and interacted with. AlayaWorld is developed by Alaya Lab. The team is progressively releasing its inference code, training code, and datasets, with an online experience expected to launch near the end of the month. Project page:

Rachel🥥

78,126 views • 1 month ago

These are 5 AI investment themes we're betting on for the next 12-18 months. We're focused on the foundational challenges that will unlock the next wave of AI applications. 🧠 Theme #1: Persistent Memory The biggest unsolved problem in AI. Current solutions (vector DBs, RAG, longer context windows) aren't cutting it. Two types needed: • Long-term memory (organizational context) • Identity persistence (consistent AI personality) No scaling laws exist for this yet. Whoever cracks it first doesn't just win a feature—they unlock entirely new AI categories. 🌐 Theme #2: Seamless Communication MCP is just the starting gun, not the finish line. When AIs can communicate seamlessly, they'll eliminate every platform moat built on convenience. Your AI won't care about Amazon's one-click or Apple's ecosystem lock-in. Platform disruption at unprecedented scale. 🎙️ Theme #3: AI Voice Video is the future, but voice is ready TODAY. • Fidelity breakthrough ✓ • Real-time latency solved ✓ • Existing infrastructure everywhere ✓ Enterprise opportunity is massive: logistics coordination, trading desks, supply chain calls. Millions of voice interactions are waiting for AI automation. 🛡️ Theme #4: Secure Trust In the AI future, you'll need hundreds of security agents per human. Unlike physical security (limited by space/cost), digital security scales infinitely. Every AI agent creates new attack vectors. Every interaction needs protection. The math is simple: More AI agents = exponentially more security agents needed. 🔓 Theme #5: Open Source Open source is at a critical crossroads. The next 12 months determine if innovation stays democratized or gets locked behind corporate walls. We're committed to ensuring the AI future is built by everyone, not just the extremely well-funded giants. The meta-theme: These aren't just product features. They're the foundational infrastructure that will enable the next generation of AI applications.

These are 5 AI investment themes we're betting on for the next 12-18 months. We're focused on the foundational challenges that will unlock the next wave of AI applications. 🧠 Theme #1: Persistent Memory The biggest unsolved problem in AI. Current solutions (vector DBs, RAG, longer context windows) aren't cutting it. Two types needed: • Long-term memory (organizational context) • Identity persistence (consistent AI personality) No scaling laws exist for this yet. Whoever cracks it first doesn't just win a feature—they unlock entirely new AI categories. 🌐 Theme #2: Seamless Communication MCP is just the starting gun, not the finish line. When AIs can communicate seamlessly, they'll eliminate every platform moat built on convenience. Your AI won't care about Amazon's one-click or Apple's ecosystem lock-in. Platform disruption at unprecedented scale. 🎙️ Theme #3: AI Voice Video is the future, but voice is ready TODAY. • Fidelity breakthrough ✓ • Real-time latency solved ✓ • Existing infrastructure everywhere ✓ Enterprise opportunity is massive: logistics coordination, trading desks, supply chain calls. Millions of voice interactions are waiting for AI automation. 🛡️ Theme #4: Secure Trust In the AI future, you'll need hundreds of security agents per human. Unlike physical security (limited by space/cost), digital security scales infinitely. Every AI agent creates new attack vectors. Every interaction needs protection. The math is simple: More AI agents = exponentially more security agents needed. 🔓 Theme #5: Open Source Open source is at a critical crossroads. The next 12 months determine if innovation stays democratized or gets locked behind corporate walls. We're committed to ensuring the AI future is built by everyone, not just the extremely well-funded giants. The meta-theme: These aren't just product features. They're the foundational infrastructure that will enable the next generation of AI applications.

Konstantine Buhler

106,372 views • 11 months ago

Hi everyone! Just rolled out access for NoSpoon Studios to the first 110 folks or so. Huge thanks to Karan and Amit at Luma - thanks to them, I have a few more people that had commented getting complimentary beta access soon as well :). These videos are created with a single agent that does everything from concept to completion (including editing the video together). Therer are longer options too, but for the sake of cost and this demo, you'll be working with 20s max generations. The entire agent was built to only run Ray2 as the video model. My stack is this custom agent of mine (using OAI) > Ray2 for the video > Replit for the app for now. In the meantime, for those with access: here's a video tutorial on how to use the site. I'm quite exhausted, but here's the gist: 1. Sign up (and remember your password lol). Beta testers got free credits, but these are a bit limited - rolling out to a few more peeps but have to budget and need to expand my current code (which means redeploying - so expect more of you to have 2 free credits and access tmr! I have to find out the max I can allot with budget). 2. Just hit "generate short video" without anything in the prompt box and the agent will start immediately with the logline. Be very patient, wait about 6-8 minutes, and it will continue to output all of the scenes and processing - it's very important you do not refresh or navigate away from that tab at this time. You'll see your final video generated and displayed at the bottom of your screen once complete, along with a watermark (paid users don't have a watermark). You can also access your loglines and videos in your history tab, too :). You must refresh the page only after your generation in order to generate a new video - otherwise you'll lose your generation (annoying I know). 3. You can also input your own custom prompt! Control the story this way. Single words work great even, like "thriller" or "spy thriller set in greece" or even "black and white film noir" etc etc. It's not as great with animated styles yet for consistency, just a heads up. 4. I'm exhausted, I'm sure there's a lot I'm missing. But welcome to the NoSpoon Studios soft beta! More soon! Feel free to share your generations if you are already in. I'll see you all tomorrow night :) <3 Thanks everyone! More soon.

Hi everyone! Just rolled out access for NoSpoon Studios to the first 110 folks or so. Huge thanks to Karan and Amit at Luma - thanks to them, I have a few more people that had commented getting complimentary beta access soon as well :). These videos are created with a single agent that does everything from concept to completion (including editing the video together). Therer are longer options too, but for the sake of cost and this demo, you'll be working with 20s max generations. The entire agent was built to only run Ray2 as the video model. My stack is this custom agent of mine (using OAI) > Ray2 for the video > Replit for the app for now. In the meantime, for those with access: here's a video tutorial on how to use the site. I'm quite exhausted, but here's the gist: 1. Sign up (and remember your password lol). Beta testers got free credits, but these are a bit limited - rolling out to a few more peeps but have to budget and need to expand my current code (which means redeploying - so expect more of you to have 2 free credits and access tmr! I have to find out the max I can allot with budget). 2. Just hit "generate short video" without anything in the prompt box and the agent will start immediately with the logline. Be very patient, wait about 6-8 minutes, and it will continue to output all of the scenes and processing - it's very important you do not refresh or navigate away from that tab at this time. You'll see your final video generated and displayed at the bottom of your screen once complete, along with a watermark (paid users don't have a watermark). You can also access your loglines and videos in your history tab, too :). You must refresh the page only after your generation in order to generate a new video - otherwise you'll lose your generation (annoying I know). 3. You can also input your own custom prompt! Control the story this way. Single words work great even, like "thriller" or "spy thriller set in greece" or even "black and white film noir" etc etc. It's not as great with animated styles yet for consistency, just a heads up. 4. I'm exhausted, I'm sure there's a lot I'm missing. But welcome to the NoSpoon Studios soft beta! More soon! Feel free to share your generations if you are already in. I'll see you all tomorrow night :) <3 Thanks everyone! More soon.

Kiri

15,513 views • 1 year ago

9/11 ALCHEMY: FACING REALITY Full Documentary This is the greatest documentary on the subject. You think you know what happened on the horrific day of September, 11, 2001. You don't. Reset your mind of preconceived notions. We have directed energy weapons that are capable of turning matter into dust. You have been played. This single day changed everything. Research everything. Think for yourself. Video timestamps: 1. 0:00 - Introduction by Christian Hampton 2. 1:13 - Predictive Programming? 3. 3:52 - William Cooper 9/11 Prediction 4. 4:59 - President Eisenhower Farewell Speech 5. 6:42 - The Energy Issue 6. 7:30 - Controlled Demolitions 7. 8:30 - Missing Rubble & Seismic Impact 8. 10:54 – Black Budget 9. 13:03 – The Aether 10. 14:50 – Earth’s Magnetic Field 11. 15:46 – Hurricane Erin, Tesla Coils, & the day before 9/11 12. 20:17 – Directed Energy Weapons (DEW) 13. 24:35 – Dr. Judy Wood’s Qui Tam Case 14. 24:46 - John Hutchison 15. 27:01 – Awareness Test 16. 27:50 – “Video Fakery” Disinformation 17. 36:47 – Richard Hall’s 3D Radar Analysis 18. 40:59 – The “POD/Drone Theory” Disinfo 19. 43:25 – Dr. Morgan Reynolds Qui Tam Case 20. 51:55 – Contractors: ARA & SAIC 21. 58:04 –3D Projection Technology 22. 1:03:28 – Gelatin & Ace Baker Disinfo 23. 1:09:46 – Real Time Holographic Visualization 24. 1:12:11 – Quasicrystals 25. 1:17:30 – Qui Tam Cases Dismissal & Coverup 26. 1:19:04 – Steven Jones & Cold Fusion Coverup 27. 1:22:14 – Missile Disinfo 28. 1:25:23 – Shanksville: No Plane Debris at Crash Site 29. 1:27:44 – Flight 93 Flight Path 30. 1:32:34 – Flight 77: No Plane Debris at Pentagon 31. 1:34:27 – Pentagon Damage 32. 1:35:34 – Flight 93: Phantom Airplane 33. 1:36:35 – Shiny Lights / White Orbs Spotted and Angels 34. 1:39:46 – Mysterious White Planes 35. 1:41:09 – Disappearing Plane Wings 36. 1:42:42 – Shutter Speed vs Frame Rate 37. 1:46:40 – 1980s Holographic UFOs & Aliens 38. 1:48:12 – Gelatin in Holography 39. 1:49:09 – 2001: A Space Odyssey 40. 1:52:37 – Monolith on 1/1/2001 41. 1:53:49 – Disinfo Agents 42. 1:55:38 – Occult Numerology 43. 1:57:53 – Project Blue Beam 44. 1:59:17 – Holes 45. 2:02:18 – Jumpers 46. 2:04:09 – Star Wars in Iraq & Pentagon 47. 2:05:15 – Warped Columns 48. 2:08:35 – Elevators, Pipes, Concrete Cracking Up 49. 2:11:07 – The “Flash Frame” 50. 2:12:44 – DEW: Side Effects, Camera Glitches, Burger King Outage 51. 2:15:24 – Magnetic Camera Tape 52. 2:17:23 – Power Outages, Unburnt Paper, and Levitation 53. 2:19:08 – Transmutation: Fusion, Fuming 54. 2:22:19 – Flight 93: Cottage in Ruins 55. 2:23:00 – Fuming for Years 56. 2:24:27 – Iron-Rich Spheres: WTC, Crop Circles, Tunguska Event 57. 2:27:11 – Crop Circles: Levitation, High Energy 58. 2:30:24 – Pump Wells: Iron Contamination in Soil 59. 2:33:46 – Flight 93: Energy Effects on Trees 60. 2:35:30 – Space & Perception: Facing Reality 61. 2:38:56 – Strategic Defense Initiative & Project Blue Beam 62. 2:41:24 – Weaponization of Space 63. 2:44:25 – Ashe Conformity Experiments 64. 2:45:53 – Psychological Warfare: War of the Worlds and 9/11 65. 2:51:28 – David Rockefeller: WTC Construction & Destruction 66. 2:52:57 – A Decades Long Conspiracy 67. 2:54:36 – Credits and References Director: Christian Hampton

9/11 ALCHEMY: FACING REALITY Full Documentary This is the greatest documentary on the subject. You think you know what happened on the horrific day of September, 11, 2001. You don't. Reset your mind of preconceived notions. We have directed energy weapons that are capable of turning matter into dust. You have been played. This single day changed everything. Research everything. Think for yourself. Video timestamps: 1. 0:00 - Introduction by Christian Hampton 2. 1:13 - Predictive Programming? 3. 3:52 - William Cooper 9/11 Prediction 4. 4:59 - President Eisenhower Farewell Speech 5. 6:42 - The Energy Issue 6. 7:30 - Controlled Demolitions 7. 8:30 - Missing Rubble & Seismic Impact 8. 10:54 – Black Budget 9. 13:03 – The Aether 10. 14:50 – Earth’s Magnetic Field 11. 15:46 – Hurricane Erin, Tesla Coils, & the day before 9/11 12. 20:17 – Directed Energy Weapons (DEW) 13. 24:35 – Dr. Judy Wood’s Qui Tam Case 14. 24:46 - John Hutchison 15. 27:01 – Awareness Test 16. 27:50 – “Video Fakery” Disinformation 17. 36:47 – Richard Hall’s 3D Radar Analysis 18. 40:59 – The “POD/Drone Theory” Disinfo 19. 43:25 – Dr. Morgan Reynolds Qui Tam Case 20. 51:55 – Contractors: ARA & SAIC 21. 58:04 –3D Projection Technology 22. 1:03:28 – Gelatin & Ace Baker Disinfo 23. 1:09:46 – Real Time Holographic Visualization 24. 1:12:11 – Quasicrystals 25. 1:17:30 – Qui Tam Cases Dismissal & Coverup 26. 1:19:04 – Steven Jones & Cold Fusion Coverup 27. 1:22:14 – Missile Disinfo 28. 1:25:23 – Shanksville: No Plane Debris at Crash Site 29. 1:27:44 – Flight 93 Flight Path 30. 1:32:34 – Flight 77: No Plane Debris at Pentagon 31. 1:34:27 – Pentagon Damage 32. 1:35:34 – Flight 93: Phantom Airplane 33. 1:36:35 – Shiny Lights / White Orbs Spotted and Angels 34. 1:39:46 – Mysterious White Planes 35. 1:41:09 – Disappearing Plane Wings 36. 1:42:42 – Shutter Speed vs Frame Rate 37. 1:46:40 – 1980s Holographic UFOs & Aliens 38. 1:48:12 – Gelatin in Holography 39. 1:49:09 – 2001: A Space Odyssey 40. 1:52:37 – Monolith on 1/1/2001 41. 1:53:49 – Disinfo Agents 42. 1:55:38 – Occult Numerology 43. 1:57:53 – Project Blue Beam 44. 1:59:17 – Holes 45. 2:02:18 – Jumpers 46. 2:04:09 – Star Wars in Iraq & Pentagon 47. 2:05:15 – Warped Columns 48. 2:08:35 – Elevators, Pipes, Concrete Cracking Up 49. 2:11:07 – The “Flash Frame” 50. 2:12:44 – DEW: Side Effects, Camera Glitches, Burger King Outage 51. 2:15:24 – Magnetic Camera Tape 52. 2:17:23 – Power Outages, Unburnt Paper, and Levitation 53. 2:19:08 – Transmutation: Fusion, Fuming 54. 2:22:19 – Flight 93: Cottage in Ruins 55. 2:23:00 – Fuming for Years 56. 2:24:27 – Iron-Rich Spheres: WTC, Crop Circles, Tunguska Event 57. 2:27:11 – Crop Circles: Levitation, High Energy 58. 2:30:24 – Pump Wells: Iron Contamination in Soil 59. 2:33:46 – Flight 93: Energy Effects on Trees 60. 2:35:30 – Space & Perception: Facing Reality 61. 2:38:56 – Strategic Defense Initiative & Project Blue Beam 62. 2:41:24 – Weaponization of Space 63. 2:44:25 – Ashe Conformity Experiments 64. 2:45:53 – Psychological Warfare: War of the Worlds and 9/11 65. 2:51:28 – David Rockefeller: WTC Construction & Destruction 66. 2:52:57 – A Decades Long Conspiracy 67. 2:54:36 – Credits and References Director: Christian Hampton

Redpill Drifter

43,770 views • 3 months ago

I’m very excited to announce AI Autocomplete AI Autocomplete is a breakthrough patented technology that supercharges natural language input = Unlocking 10x faster search and commerce, advertising, and powerful augmented reality. Available for use as an SDK. This solves a fundamental problem of today’s chat interfaces – They are good at single step request, but any multi-step action (like booking a flight or purchasing goods) quickly becomes a back and forth 'game of 10 questions'. While working on our own assistant, we realized the core driver of this problem is a human one: People don’t know everything they need to say upfront, for every action you could do on the internet. And to solve it, we would need to think about how to marry design and technology in a new way. AI Autocomplete solves this, and can now plug into chat interfaces to guide you in real-time, with everything you would need to say, upfront. So you can do anything you can do on the internet in one shot. No more back and forth. As a result, this unlocks multiple AI breakthroughs: 1. 10x faster search and commerce 2. Smarter (and far lower cost) media generation 3. Natural language advertising 4. Powerful, lightweight Augmented Reality From here, we’ll be using this for Hero, but we also want others to use it too since this is an industry-wide problem. So if you have a product that could benefit from AI Autocomplete and want to work with us, reach out below! Shoutout to Seung W. Lee who helped think of and patent this nearly 3 years ago! And shoutout to the entire Hero Assistant team that keeps innovating on the next generation of AI products

I’m very excited to announce AI Autocomplete AI Autocomplete is a breakthrough patented technology that supercharges natural language input = Unlocking 10x faster search and commerce, advertising, and powerful augmented reality. Available for use as an SDK. This solves a fundamental problem of today’s chat interfaces – They are good at single step request, but any multi-step action (like booking a flight or purchasing goods) quickly becomes a back and forth 'game of 10 questions'. While working on our own assistant, we realized the core driver of this problem is a human one: People don’t know everything they need to say upfront, for every action you could do on the internet. And to solve it, we would need to think about how to marry design and technology in a new way. AI Autocomplete solves this, and can now plug into chat interfaces to guide you in real-time, with everything you would need to say, upfront. So you can do anything you can do on the internet in one shot. No more back and forth. As a result, this unlocks multiple AI breakthroughs: 1. 10x faster search and commerce 2. Smarter (and far lower cost) media generation 3. Natural language advertising 4. Powerful, lightweight Augmented Reality From here, we’ll be using this for Hero, but we also want others to use it too since this is an industry-wide problem. So if you have a product that could benefit from AI Autocomplete and want to work with us, reach out below! Shoutout to Seung W. Lee who helped think of and patent this nearly 3 years ago! And shoutout to the entire Hero Assistant team that keeps innovating on the next generation of AI products

brad

303,856 views • 9 months ago