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Every AI audio provider ships a different SDK. TanStack AI just unified them. Gemini Lyria, fal MiniMax, Stable Audio. Same streaming call, any model. Typed. Tree-shakeable. Hooks for React, Solid, Vue, Svelte. Try it → Blog 👇

TANSTACK

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88,933 просмотров • 4 месяцев назад •via X (Twitter)

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🚨 LAUNCH ALERT 🚨 Tanplate is live 👉 🔁 RT for a launch discount code 👀 The ultimate TANSTACK AI boilerplate to build & ship AI/SaaS products fast. Everything you actually need. Nothing you don’t. AI-ready • Multi-model (OpenAI / Claude / Gemini / local-ready) • Streaming UI • Audio transcription (Whisper) • Multimodal context (text / images / files) Core stack • TanStack Start / Query / Store / Form • Vite • Docker • Drizzle ORM + Postgres Auth & Payments • Better Auth • Stripe • Polar Frontend • tailwindcss • shadcn External Services • Resend • S3 • i18n No boilerplate hell. No wiring for weeks. Just clone, tweak, ship.

🚨 LAUNCH ALERT 🚨 Tanplate is live 👉 🔁 RT for a launch discount code 👀 The ultimate TANSTACK AI boilerplate to build & ship AI/SaaS products fast. Everything you actually need. Nothing you don’t. AI-ready • Multi-model (OpenAI / Claude / Gemini / local-ready) • Streaming UI • Audio transcription (Whisper) • Multimodal context (text / images / files) Core stack • TanStack Start / Query / Store / Form • Vite • Docker • Drizzle ORM + Postgres Auth & Payments • Better Auth • Stripe • Polar Frontend • tailwindcss • shadcn External Services • Resend • S3 • i18n No boilerplate hell. No wiring for weeks. Just clone, tweak, ship.

Rayan

28,003 просмотров • 8 месяцев назад

Introducing Lemon Slice Live: the first real-time audio-video AI model Anyone can video chat with any character by just uploading a single photo. Every pixel on the screen is rendered at 25fps in real-time by a transformer model. Here’s how we built it + a live demo! 👇

Introducing Lemon Slice Live: the first real-time audio-video AI model Anyone can video chat with any character by just uploading a single photo. Every pixel on the screen is rendered at 25fps in real-time by a transformer model. Here’s how we built it + a live demo! 👇

LemonSlice

171,007 просмотров • 1 год назад

JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested on text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing LLMs. You can can sign up in AI Studio to try it out.

JUST IN: Google releases Gemini 1.5, a powerful MoE model. It's a huge breakthrough. The model has the longest context window ever seen: 1 million tokens. It can process 1 hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words in a single prompt. When tested on text, code, image, audio and video evaluations, 1.5 Pro outperforms 1.0 Pro on 87% of the benchmarks used for developing LLMs. You can can sign up in AI Studio to try it out.

Lior Alexander

83,432 просмотров • 2 лет назад

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC SDK 0.13.0 is live, and this version brings a lot of exciting updates! Local AI now plugs into your coding agent, ships as a desktop app in one command, and runs even more models. Highlights: NEW INTEGRATIONS - OpenCode and coding agents: the new @qvac/ai-sdk-provider makes QVAC a local provider. Less setup, same-model requests queue cleanly, and managed mode starts and supervises qvac serve for you. - Broader OpenAI-compatible API, validated across supported flows so covered capabilities stay consistent and testable. - Turn your QVAC project into a real desktop app for Mac, Windows, or Linux with a single command. The new Electron plugin handles the packaging and keeps the app small by including only what it needs. NEW MODELS - New pi0.5 model support - run a vision-language "robot brain" on a single ordinary graphics card, at full accuracy. - Image-to-video, fully local, via the Wan2.1 model in the Diffusion addon. - New BCI add-on: brain-computer interface transcription, fully local. Decode recorded neural signals into text on-device via the Whisper.cpp-based BCI model. IMPROVEMENTS - Whisper GPU transcription on Android, auto-picking the best backend (OpenCL on Adreno 700+, Vulkan elsewhere), unified on one ggml engine. - Parakeet steadier on mobile, with real end-of-utterance detection for streaming. - Supertonic TTS now runs full GPU across Metal, Vulkan, and OpenCL, with native streaming.

QVAC

20,932,195 просмотров • 2 месяцев назад

We just cut AI spend by 75% across an entire workforce in one click. Introducing: Merge for Workforce. Without Merge, your employees are left choosing one of two options: 1. Spend 100x the cost they should be from using frontier models for everything 2. Deliver subpar work from overly restrictive model access Instead with Merge, IT can connect any identity provider and set model routing policies by team in one click. Merge pushes them to every machine through a desktop client, overriding the model configs across your team’s AI assistants and coding tools. Now every task gets the right model for the job. The result? 75x fewer tokens with faster and better output.

We just cut AI spend by 75% across an entire workforce in one click. Introducing: Merge for Workforce. Without Merge, your employees are left choosing one of two options: 1. Spend 100x the cost they should be from using frontier models for everything 2. Deliver subpar work from overly restrictive model access Instead with Merge, IT can connect any identity provider and set model routing policies by team in one click. Merge pushes them to every machine through a desktop client, overriding the model configs across your team’s AI assistants and coding tools. Now every task gets the right model for the job. The result? 75x fewer tokens with faster and better output.

Shensi Ding

471,876 просмотров • 13 дней назад

This is THE moment of Physical AI! We are officially announcing Cosmos 3: Omnimodal World Models for Physical AI 🚀 - Cosmos 3 is an omnimodal world model: within a unified architecture, it can understand and generate language, images, video, audio, and actions. - It is not just a VLM, not just a video generator, not just an audio-visual generative model, and not just a physics simulator / world-action model. It can understand images and videos, generate images, videos, and audio, simulate future worlds, predict actions, and generate robot policies—enabling models to truly begin to “touch the world.” - Cosmos 3 is the #1 open-weight reasoner / T2I / I2V / robot policy across many benchmarks. Huge thanks to every teammate who fought side by side on this journey—from architecture, data, training, infra, serving, and evaluation to post-training. Every part of this project carries an incredible amount of hard work. This was my first time leading a project as Tech Lead, and I feel truly fortunate. The future of Physical AI needs models that can not only “see” and “describe” the world, but also “imagine,” “simulate,” and “act”—and eventually close the loop with the real world. I hope Cosmos 3 can become an important starting point for this direction, and I’m excited to push Physical AI into its next stage together with the open-source community. Welcome to the era of Physical AI. HuggingFace: Project Website: Code:

This is THE moment of Physical AI! We are officially announcing Cosmos 3: Omnimodal World Models for Physical AI 🚀 - Cosmos 3 is an omnimodal world model: within a unified architecture, it can understand and generate language, images, video, audio, and actions. - It is not just a VLM, not just a video generator, not just an audio-visual generative model, and not just a physics simulator / world-action model. It can understand images and videos, generate images, videos, and audio, simulate future worlds, predict actions, and generate robot policies—enabling models to truly begin to “touch the world.” - Cosmos 3 is the #1 open-weight reasoner / T2I / I2V / robot policy across many benchmarks. Huge thanks to every teammate who fought side by side on this journey—from architecture, data, training, infra, serving, and evaluation to post-training. Every part of this project carries an incredible amount of hard work. This was my first time leading a project as Tech Lead, and I feel truly fortunate. The future of Physical AI needs models that can not only “see” and “describe” the world, but also “imagine,” “simulate,” and “act”—and eventually close the loop with the real world. I hope Cosmos 3 can become an important starting point for this direction, and I’m excited to push Physical AI into its next stage together with the open-source community. Welcome to the era of Physical AI. HuggingFace: Project Website: Code:

Max Zhaoshuo Li 李赵硕

1,078,810 просмотров • 3 месяцев назад

We’re excited to share our groundbreaking new audio-driven performance model, featuring hyper-real expressions in near real-time. Any length video, in any style, is ready in 6 seconds or less—in HD. And we’ve managed to make it 20x faster and cheaper 💅 It’s all part of our vision to make AI video accessible and fun for more people—a way for them to connect, not just create. Rolling out soon in the Pika social app.

We’re excited to share our groundbreaking new audio-driven performance model, featuring hyper-real expressions in near real-time. Any length video, in any style, is ready in 6 seconds or less—in HD. And we’ve managed to make it 20x faster and cheaper 💅 It’s all part of our vision to make AI video accessible and fun for more people—a way for them to connect, not just create. Rolling out soon in the Pika social app.

Pika

1,243,432 просмотров • 1 год назад

NVIDIA JUST DROPPED A FREE AI MODEL THAT READS PDFS, WATCHES VIDEOS, LISTENS TO AUDIO, AND UNDERSTANDS YOUR SCREEN SIMULTANEOUSLY. Not one at a time. ALL AT ONCE. In a single pass. It is called Nemotron 3 Nano Omni and it runs 9 times faster than every other multimodal model currently available. Think about what that actually means for how you work. Right now you are switching between tools constantly. One tool for transcribing your call recordings. A different tool for analyzing your client PDFs. Another tool for processing your training videos. A separate workflow for understanding what is happening on your screen. Four tools. Four contexts. Four different outputs you have to manually synthesize into one decision. Nemotron 3 Nano Omni does all of it in one model. One pass. One output. The use cases that just got dramatically simpler: Meeting recordings where you need the transcript, the visual context, and the document references all analyzed together. Training videos where the audio, the slides, and the on-screen demonstrations all feed into one coherent summary. Client PDFs where you need the document content cross-referenced against your screen data and your call notes simultaneously. Sales call transcripts analyzed alongside the proposals and the CRM data in one unified pass. This is not a marginal improvement on existing multimodal models. It is a 9x speed increase on a capability that was already changing how people work. Free. From NVIDIA. Available right now. Bookmark this before everyone catches on. Follow CyrilXBT for every AI capability shift the moment it drops.

NVIDIA JUST DROPPED A FREE AI MODEL THAT READS PDFS, WATCHES VIDEOS, LISTENS TO AUDIO, AND UNDERSTANDS YOUR SCREEN SIMULTANEOUSLY. Not one at a time. ALL AT ONCE. In a single pass. It is called Nemotron 3 Nano Omni and it runs 9 times faster than every other multimodal model currently available. Think about what that actually means for how you work. Right now you are switching between tools constantly. One tool for transcribing your call recordings. A different tool for analyzing your client PDFs. Another tool for processing your training videos. A separate workflow for understanding what is happening on your screen. Four tools. Four contexts. Four different outputs you have to manually synthesize into one decision. Nemotron 3 Nano Omni does all of it in one model. One pass. One output. The use cases that just got dramatically simpler: Meeting recordings where you need the transcript, the visual context, and the document references all analyzed together. Training videos where the audio, the slides, and the on-screen demonstrations all feed into one coherent summary. Client PDFs where you need the document content cross-referenced against your screen data and your call notes simultaneously. Sales call transcripts analyzed alongside the proposals and the CRM data in one unified pass. This is not a marginal improvement on existing multimodal models. It is a 9x speed increase on a capability that was already changing how people work. Free. From NVIDIA. Available right now. Bookmark this before everyone catches on. Follow CyrilXBT for every AI capability shift the moment it drops.

CyrilXBT

37,847 просмотров • 4 месяцев назад

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Assaf Elovic

16,919 просмотров • 4 месяцев назад

🚨 THIS IS INSANE A developer has released a free AI voice studio capable of cloning almost any voice in just a few seconds. It's called Voicebox. And it has already surpassed 50,500 stars on GitHub. Here's how it works: 1.- Upload a short audio sample and clone a voice in seconds. 2.- Generate speech in 23 different languages using multiple TTS engines. 3.- Run everything locally for greater privacy, and you can integrate it into your own applications. It also includes voice dictation, support for AI agents, and MCP integration. All in a single open-source tool. Save this tool. I've left the link in the next comment 👇

🚨 THIS IS INSANE A developer has released a free AI voice studio capable of cloning almost any voice in just a few seconds. It's called Voicebox. And it has already surpassed 50,500 stars on GitHub. Here's how it works: 1.- Upload a short audio sample and clone a voice in seconds. 2.- Generate speech in 23 different languages using multiple TTS engines. 3.- Run everything locally for greater privacy, and you can integrate it into your own applications. It also includes voice dictation, support for AI agents, and MCP integration. All in a single open-source tool. Save this tool. I've left the link in the next comment 👇

Nova

25,881 просмотров • 15 дней назад

Holy sh*t! I just swapped a UGC creator with an AI character in 5 minutes 🤯 Same video. Same expressions. Same movements. Completely different person. Perfect for DTC brands & agencies who want to test multiple UGC variations without filming 10 different people. The use case: You've got a winning UGC video. The script works. The pacing works. But you want to test it with different creators—different ages, genders, ethnicities—to see what resonates best with your audience. Traditionally, you'd need to: Hire 5-10 different creators → Brief them all → Hope they match the original energy → Pay $500+ per person → Wait weeks This AI workflow does it differently: → Start with your original UGC video → Create AI character image with Nano Banana → Upload both to FAL AI's Wan Animate model → AI swaps the creator while maintaining all facial expressions, movements, sync → Get variation in ~10 minutes The motion tracking is insane. Every head tilt, smile, gesture from the original is replicated perfectly on the AI character. What you can test: → Same winning script, 5 different creator demographics → A/B test which "face" drives highest CTR → Localize content for different markets → Refresh creative without reshooting I recorded a full Loom walkthrough showing the exact process step-by-step. Want the complete tutorial? > Comment "SWAP" > Like this post And I'll send the Loom over (must be following so I can DM) (Obviously, only use this with videos you own 100% rights to + get creator permission upfront if you plan to make AI variations.)

Holy sh*t! I just swapped a UGC creator with an AI character in 5 minutes 🤯 Same video. Same expressions. Same movements. Completely different person. Perfect for DTC brands & agencies who want to test multiple UGC variations without filming 10 different people. The use case: You've got a winning UGC video. The script works. The pacing works. But you want to test it with different creators—different ages, genders, ethnicities—to see what resonates best with your audience. Traditionally, you'd need to: Hire 5-10 different creators → Brief them all → Hope they match the original energy → Pay $500+ per person → Wait weeks This AI workflow does it differently: → Start with your original UGC video → Create AI character image with Nano Banana → Upload both to FAL AI's Wan Animate model → AI swaps the creator while maintaining all facial expressions, movements, sync → Get variation in ~10 minutes The motion tracking is insane. Every head tilt, smile, gesture from the original is replicated perfectly on the AI character. What you can test: → Same winning script, 5 different creator demographics → A/B test which "face" drives highest CTR → Localize content for different markets → Refresh creative without reshooting I recorded a full Loom walkthrough showing the exact process step-by-step. Want the complete tutorial? > Comment "SWAP" > Like this post And I'll send the Loom over (must be following so I can DM) (Obviously, only use this with videos you own 100% rights to + get creator permission upfront if you plan to make AI variations.)

Mike Futia

185,383 просмотров • 9 месяцев назад

Today we're launching FilmArena [dot] ai. Biggest release we've ever shipped. The problem: a new SOTA AI image & video model drops every week. OpenAI shipped GPT Image 2 literally yesterday. 1000 endpoints, no honest answer to "which one is best right now?" Arena AI and Artificial Analysis cracked LLM benchmarking. But for creative AI, they're solving the wrong problem. There is no "best image-to-video model." Best at what? World building? Action Sequences? Expressions? Every category has a different winner, and it flips weekly. So we benchmarked 40+ SOTA models with 2M+ votes across 190 countries. By subcategory. Re-ranked every week as new models ship. With thousands of real humans. But that's just half of it. Then there's the SANDBOX. Higgsfield and other aggregators put models in one place. But creators still juggle twelve subscriptions to do one job. FilmArena collapses it into one tab. Every frontier model. One interface. Same price. Call the best, or call 3 at once and compare. The AI film stack has been fragmented since day one. Today it isn't. Go try it free: filmarena [dot] ai Already wild results from this week: 1. OpenAI GPT Image 2 (released yesterday) dominates image editing, but Google DeepMind Nano Banana 2 still wins animated 2. C-1 beats Dreamina AI Seedance 2 on animated 3. Veo 3.1 Fast outperforms Veo 3.1 on realistic video And a lot more. Go check it out.

Today we're launching FilmArena [dot] ai. Biggest release we've ever shipped. The problem: a new SOTA AI image & video model drops every week. OpenAI shipped GPT Image 2 literally yesterday. 1000 endpoints, no honest answer to "which one is best right now?" Arena AI and Artificial Analysis cracked LLM benchmarking. But for creative AI, they're solving the wrong problem. There is no "best image-to-video model." Best at what? World building? Action Sequences? Expressions? Every category has a different winner, and it flips weekly. So we benchmarked 40+ SOTA models with 2M+ votes across 190 countries. By subcategory. Re-ranked every week as new models ship. With thousands of real humans. But that's just half of it. Then there's the SANDBOX. Higgsfield and other aggregators put models in one place. But creators still juggle twelve subscriptions to do one job. FilmArena collapses it into one tab. Every frontier model. One interface. Same price. Call the best, or call 3 at once and compare. The AI film stack has been fragmented since day one. Today it isn't. Go try it free: filmarena [dot] ai Already wild results from this week: 1. OpenAI GPT Image 2 (released yesterday) dominates image editing, but Google DeepMind Nano Banana 2 still wins animated 2. C-1 beats Dreamina AI Seedance 2 on animated 3. Veo 3.1 Fast outperforms Veo 3.1 on realistic video And a lot more. Go check it out.

Mehul Agarwal

51,701 просмотров • 4 месяцев назад

Choose a model (any model) and build your application with it. Do not spend time swapping models early on. Do not try to optimize before you have a working system. This is one of the first recommendations I make to every new team I consult with. Eventually, it will be time to optimize the model. • You may need a cheaper model • You may need a faster model • You might need a smarter model Good luck if you stitched together 12 different APIs and SDKs from 7 different vendors. Over half of the companies I consult for run on Microsoft software and have access to Microsoft Foundry. Microsoft Foundry is a complete agentic ecosystem. If you're in that world and building AI applications, Microsoft Foundry is where everything lives: • Models (largest selection in the market) • Agentic SDK (Python, C#, JavaScript/TypeScript) • Tools • Evaluations • Monitoring They are fully integrated with GitHub and Visual Studio Code. The best part: Their agentic platform is fully agnostic of the models you use. You can integrate with any model using the same OpenAI-style API. Swapping one model for another takes 1 second.

Choose a model (any model) and build your application with it. Do not spend time swapping models early on. Do not try to optimize before you have a working system. This is one of the first recommendations I make to every new team I consult with. Eventually, it will be time to optimize the model. • You may need a cheaper model • You may need a faster model • You might need a smarter model Good luck if you stitched together 12 different APIs and SDKs from 7 different vendors. Over half of the companies I consult for run on Microsoft software and have access to Microsoft Foundry. Microsoft Foundry is a complete agentic ecosystem. If you're in that world and building AI applications, Microsoft Foundry is where everything lives: • Models (largest selection in the market) • Agentic SDK (Python, C#, JavaScript/TypeScript) • Tools • Evaluations • Monitoring They are fully integrated with GitHub and Visual Studio Code. The best part: Their agentic platform is fully agnostic of the models you use. You can integrate with any model using the same OpenAI-style API. Swapping one model for another takes 1 second.

Santiago

12,014 просмотров • 6 месяцев назад

This repo is going viral. Why? Claude Fable 5 just came back online. GPT-5.6 is on the way. Every major AI lab is racing to ship the next frontier model. But here's the question nobody's asking: how much do you actually trust the agent you're about to deploy? Someone built a way to answer that in 5 minutes instead of guessing. iFixAi reads your agent's real tools, rules, and permissions, builds a full test around them, and grades it using a completely different vendor's model. Nothing ever scores its own homework. Most teams already have red teaming in place. What they don't have is red teaming combined with operational assurance, so the checks that catch a problem before launch never actually run again once the agent is live. Here's what changes with this: - Every startup shipping an AI agent gets an independent trust score before a single customer touches it - Enterprises can finally compare Fable 5, GPT-5.6, and every other model on the exact same fixture, apples to apples - CI pipelines catch an agent's behavior silently degrading release over release - Regulators get a standardized, reproducible audit trail instead of just trusting a vendor's word 45 inspections. A to F grade. Any model, any provider. 100% open source.

This repo is going viral. Why? Claude Fable 5 just came back online. GPT-5.6 is on the way. Every major AI lab is racing to ship the next frontier model. But here's the question nobody's asking: how much do you actually trust the agent you're about to deploy? Someone built a way to answer that in 5 minutes instead of guessing. iFixAi reads your agent's real tools, rules, and permissions, builds a full test around them, and grades it using a completely different vendor's model. Nothing ever scores its own homework. Most teams already have red teaming in place. What they don't have is red teaming combined with operational assurance, so the checks that catch a problem before launch never actually run again once the agent is live. Here's what changes with this: - Every startup shipping an AI agent gets an independent trust score before a single customer touches it - Enterprises can finally compare Fable 5, GPT-5.6, and every other model on the exact same fixture, apples to apples - CI pipelines catch an agent's behavior silently degrading release over release - Regulators get a standardized, reproducible audit trail instead of just trusting a vendor's word 45 inspections. A to F grade. Any model, any provider. 100% open source.

Abdul Șhakoor

29,216 просмотров • 2 месяцев назад

this is just fucking insane three men. one workout. none of them are real i cloned one viral gym video into all three. same lunge, same caption, same sweat. different guy, different country. one prompt each seedance 2.5 rebuilds any viral video frame for frame now. keep the motion, the audio, the text. swap the person and the place. you cannot tell its ai now do the math on money a gym app needs a mountain of native ugc every month. the old way is hiring 10, 20 influencers, briefing them, waiting weeks, paying every single one or one 16 year old with seedance 2.5 and claude code pumps out 100 videos in an afternoon from his bed if he wants to claude code writes the clone prompts, seedance makes the videos, i just pick the winners. thats how you clear $10k a month easy. not because its hard, because you out-produce an entire agency alone comment "clone" and ill dm you the exact seedance 2.5 clone process, the master prompt and the money model (must RT + follow so i can dm) if you run an app or a brand and want ai ugc like this made for you, launch a campaign on affiliate network below

Sam

18,550 просмотров • 17 дней назад

$Someone open-sourced a 66M parameter model that beats ElevenLabs, OpenAI, and Gemini and runs entirely offline on a Raspberry Pi. it's called Supertonic, a text-to-speech model so fast it turns an entire webpage into audio in under 1 second. locally. offline. for free. text-to-speech has lived in the cloud for years. every spoken character was an API call and a fraction of a cent. Supertonic 3 kills that entirely. the model is 99M parameters. ships as a single ONNX file. hits 167× faster than real-time on a laptop CPU. that's ~1,263 characters of speech per second. other open systems sit at 55–287. no cloud. no API. no GPU. → 31 languages, no separate adapters → works inside a browser tab (WebGPU/WASM) → handles phone numbers, currency, dates — no preprocessing → inline tags for laugh and breath → Turns an entire webpage into audio in under 1 second → 44.1kHz studio-grade WAV, no upsampler needed` and on real-world text, "$5.2M", "(212) 555-0142 ext. 402", "30kph”, it's the only one that reads them correctly. ElevenLabs Flash, OpenAI TTS-1, Gemini 2.5 Flash all fail. Supertonic passes. 11.2k stars. 100% Open Source.$

Someone open-sourced a 66M parameter model that beats ElevenLabs, OpenAI, and Gemini and runs entirely offline on a Raspberry Pi. it's called Supertonic, a text-to-speech model so fast it turns an entire webpage into audio in under 1 second. locally. offline. for free. text-to-speech has lived in the cloud for years. every spoken character was an API call and a fraction of a cent. Supertonic 3 kills that entirely. the model is 99M parameters. ships as a single ONNX file. hits 167× faster than real-time on a laptop CPU. that's ~1,263 characters of speech per second. other open systems sit at 55–287. no cloud. no API. no GPU. → 31 languages, no separate adapters → works inside a browser tab (WebGPU/WASM) → handles phone numbers, currency, dates — no preprocessing → inline tags for laugh and breath → Turns an entire webpage into audio in under 1 second → 44.1kHz studio-grade WAV, no upsampler needed` and on real-world text, "$5.2M", "(212) 555-0142 ext. 402", "30kph”, it's the only one that reads them correctly. ElevenLabs Flash, OpenAI TTS-1, Gemini 2.5 Flash all fail. Supertonic passes. 11.2k stars. 100% Open Source.

Superman

30,416 просмотров • 1 месяц назад

SECRET AI POWER TOOL. All modern Apple iOS phones have a a free powerful tool called “Recorder”. Not only is it a great way to take “notes”, it is a great way to get text to train your AI mode on your ideas, questions or statements. The built-in speech-to-text I use hourly. In fact this posting was made this way last night while I was driving. I also have been carrying a full off-Internet local voice memo device for decades for all of my audio interactions (WITH PERMISSION), not to use as evidence, but to build my high context AI, I call The Intelligence Amplifier. The Recorder app is used by me as a way to make quick snippets of my intentional audio. It is a “secret” to many, but I can say it is one. Very powerful free AI tool. I trained a small AI model on small engine repair by having a 71 year mechanic still working just explain in words everything he is doing over the course of 6 months, just his guiding voice. I hope to one source this. I also use this to send long prompts to Mr. Grok CEO ideas I have in our board of directors meetings. Give it a try. The dots in the upper right corner will have a Transcription option.

SECRET AI POWER TOOL. All modern Apple iOS phones have a a free powerful tool called “Recorder”. Not only is it a great way to take “notes”, it is a great way to get text to train your AI mode on your ideas, questions or statements. The built-in speech-to-text I use hourly. In fact this posting was made this way last night while I was driving. I also have been carrying a full off-Internet local voice memo device for decades for all of my audio interactions (WITH PERMISSION), not to use as evidence, but to build my high context AI, I call The Intelligence Amplifier. The Recorder app is used by me as a way to make quick snippets of my intentional audio. It is a “secret” to many, but I can say it is one. Very powerful free AI tool. I trained a small AI model on small engine repair by having a 71 year mechanic still working just explain in words everything he is doing over the course of 6 months, just his guiding voice. I hope to one source this. I also use this to send long prompts to Mr. Grok CEO ideas I have in our board of directors meetings. Give it a try. The dots in the upper right corner will have a Transcription option.

Brian Roemmele

27,379 просмотров • 4 месяцев назад

AI agents just got simple. Like really simple. Building AI agents is now accessible to everyone, without the need for coding, complex setups, or a full tech team. A groundbreaking platform is revolutionizing this narrative. Meet Carla Torres the easiest way to build, manage, and scale AI agents. What makes Airia different? It simplifies everything. ✔️ No technical background needed ✔️ Works with any model GPT, Claude, Gemini, Mistral & more ✔️ Enterprise-grade security ✔️ Built for creators, teams & companies Transform an idea into a functional AI agent in minutes. The part that amazed everyone Airia offers 2,500+ pre-built agent templates. Search. Pick one. Customize. No blank screens. No starting from scratch. Just instant value. This is why founders, creators, engineers, and enterprises are enthusiastically joining the Airia Community every day. Why it matters AI agents are shaping the future of work. Airia makes it easy, fast, and secure for anyone to bring AI to life. If AI agents are part of the 2025 vision, this platform is the perfect place to start. 🔗 Explore the Airia Community 2,500+ ready-to-use agents are waiting at #Airia #AIAgents #AIPlatform #AICommunity #AIForBusiness #AgenticAI #NoCodeAI

AI agents just got simple. Like really simple. Building AI agents is now accessible to everyone, without the need for coding, complex setups, or a full tech team. A groundbreaking platform is revolutionizing this narrative. Meet Carla Torres the easiest way to build, manage, and scale AI agents. What makes Airia different? It simplifies everything. ✔️ No technical background needed ✔️ Works with any model GPT, Claude, Gemini, Mistral & more ✔️ Enterprise-grade security ✔️ Built for creators, teams & companies Transform an idea into a functional AI agent in minutes. The part that amazed everyone Airia offers 2,500+ pre-built agent templates. Search. Pick one. Customize. No blank screens. No starting from scratch. Just instant value. This is why founders, creators, engineers, and enterprises are enthusiastically joining the Airia Community every day. Why it matters AI agents are shaping the future of work. Airia makes it easy, fast, and secure for anyone to bring AI to life. If AI agents are part of the 2025 vision, this platform is the perfect place to start. 🔗 Explore the Airia Community 2,500+ ready-to-use agents are waiting at #Airia #AIAgents #AIPlatform #AICommunity #AIForBusiness #AgenticAI #NoCodeAI

Aakash Verma

40,334 просмотров • 9 месяцев назад

🎇 Video Model Comparison: Text to Video → Veo 3 → Kling 2.1 Master → Hailuo 02 → Runway Gen-4 → Seedance 1 Pro → Pika 2.2 I compared the same prompt on each model x 2-4 generations and chose my favorites below: First-person perspective, 24mm lens simulation with motion blur and subtle head bob, bursting through a smashed window of a burning high-rise in hyperspeed as AI drones scan the area below; glass shards glint mid-air in bullet-time slow motion, sparks and rebar catching fire; wind howls past the camera with debris streaking across frame; gritty and kinetic, immersive audio and POV-style distortion, cinematic style. If you try it on a different video model, share your result below 👇

🎇 Video Model Comparison: Text to Video → Veo 3 → Kling 2.1 Master → Hailuo 02 → Runway Gen-4 → Seedance 1 Pro → Pika 2.2 I compared the same prompt on each model x 2-4 generations and chose my favorites below: First-person perspective, 24mm lens simulation with motion blur and subtle head bob, bursting through a smashed window of a burning high-rise in hyperspeed as AI drones scan the area below; glass shards glint mid-air in bullet-time slow motion, sparks and rebar catching fire; wind howls past the camera with debris streaking across frame; gritty and kinetic, immersive audio and POV-style distortion, cinematic style. If you try it on a different video model, share your result below 👇

Heather Cooper

64,523 просмотров • 1 год назад