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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 👇

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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.

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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.

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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

30,261 Aufrufe • vor 28 Tagen

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
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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 Aufrufe • vor 8 Monaten

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.
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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

27,193 Aufrufe • vor 3 Monaten

🎇 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 👇
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🎇 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 Aufrufe • vor 1 Jahr

Black Forest Labs just announced FLUX 3: a unified multimodal model for image, video, audio and action prediction. Founded in Freiburg, Germany, one of the few globally significant European companies in the AI ​​sector. The current release is gated early access, not open source. But if FLUX 3 Dev actually ships with usable open weights, this could become one of the most important open-model releases in generative video yet. Especially after the Chinese Minimax H3 release. BFL claims, based on preliminary internal comparisons, that FLUX 3 outperformed models such as Runway Gen-4.5, Luma Ray 3.2, Kling 3 Pro, and Seedance 2.0. However, these figures stem from the early-access phase and do not constitute independent validation. Be that as it may, it's great to see the quality that today's video models can produce at affordable prices. Something that would have been unthinkable a year ago. Really cool release!
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Black Forest Labs just announced FLUX 3: a unified multimodal model for image, video, audio and action prediction. Founded in Freiburg, Germany, one of the few globally significant European companies in the AI ​​sector. The current release is gated early access, not open source. But if FLUX 3 Dev actually ships with usable open weights, this could become one of the most important open-model releases in generative video yet. Especially after the Chinese Minimax H3 release. BFL claims, based on preliminary internal comparisons, that FLUX 3 outperformed models such as Runway Gen-4.5, Luma Ray 3.2, Kling 3 Pro, and Seedance 2.0. However, these figures stem from the early-access phase and do not constitute independent validation. Be that as it may, it's great to see the quality that today's video models can produce at affordable prices. Something that would have been unthinkable a year ago. Really cool release!

Chubby♨️

39,293 Aufrufe • vor 11 Tagen

🚨 This tool just made every AI coding plugin look outdated. Cline CLI 2.0 is a completely rebuilt, open-source AI coding agent that runs entirely in the terminal. Model-agnostic, editor-agnostic, Apache 2.0 licensed, and trusted by over 5 million developers. Same core engine as the VS Code extension rebuilt for how serious development actually happens. The new interactive UI feels genuinely native. Redesigned navigation, real-time agent reasoning, model switching mid-session, all without leaving the terminal. Parallel agents let multiple Cline instances run across tmux panes simultaneously, each with fully isolated state, working different tasks on different branches without conflicts. Headless mode with the `-y` flag plugs Cline directly into CI/CD pipelines, pipe a git diff in, get a code review out. And the `--acp` flag connects to Zed, Neovim, Emacs, and any ACP-compatible editor, so there's no forced editor choice. At launch, Minimax M2.5 and Kimi K2.5 are completely free. No API key. No credit card. Zero barrier to try it. `npm install -g cline` Docs → GitHub → The future of AI coding isn't a plugin. It's infrastructure.
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🚨 This tool just made every AI coding plugin look outdated. Cline CLI 2.0 is a completely rebuilt, open-source AI coding agent that runs entirely in the terminal. Model-agnostic, editor-agnostic, Apache 2.0 licensed, and trusted by over 5 million developers. Same core engine as the VS Code extension rebuilt for how serious development actually happens. The new interactive UI feels genuinely native. Redesigned navigation, real-time agent reasoning, model switching mid-session, all without leaving the terminal. Parallel agents let multiple Cline instances run across tmux panes simultaneously, each with fully isolated state, working different tasks on different branches without conflicts. Headless mode with the `-y` flag plugs Cline directly into CI/CD pipelines, pipe a git diff in, get a code review out. And the `--acp` flag connects to Zed, Neovim, Emacs, and any ACP-compatible editor, so there's no forced editor choice. At launch, Minimax M2.5 and Kimi K2.5 are completely free. No API key. No credit card. Zero barrier to try it. `npm install -g cline` Docs → GitHub → The future of AI coding isn't a plugin. It's infrastructure.

AI Frontliner

60,126 Aufrufe • vor 6 Monaten

Microsoft did it again! Speech AI models have a major limitation. They slice long recordings into tiny chunks, lose track of who's speaking, and forget all context halfway through. This is exactly what Microsoft's VibeVoice solves. It's an open-source family of frontier voice AI models for both speech recognition and speech generation. Here's what it can do: > VibeVoice-ASR processes up to 60 minutes of audio in a single pass. No chunking. It outputs structured transcriptions with who spoke, when they spoke, and what they said. > You can feed it custom hotwords like names, technical jargon, or domain-specific terms. The model uses them to significantly improve accuracy on specialized content. > VibeVoice-TTS generates up to 90 minutes of multi-speaker speech with up to 4 distinct speakers. Natural turn-taking, emotional expression, all in one pass. > VibeVoice-Realtime is a 0.5B streaming TTS model with ~300ms first-audio latency. Small enough to deploy practically anywhere. All of this is powered by continuous speech tokenizers running at just 7.5 Hz. This ultra-low frame rate preserves audio quality while making long sequences computationally feasible. I have shared the link to the GitHub repo in the replies!
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Microsoft did it again! Speech AI models have a major limitation. They slice long recordings into tiny chunks, lose track of who's speaking, and forget all context halfway through. This is exactly what Microsoft's VibeVoice solves. It's an open-source family of frontier voice AI models for both speech recognition and speech generation. Here's what it can do: > VibeVoice-ASR processes up to 60 minutes of audio in a single pass. No chunking. It outputs structured transcriptions with who spoke, when they spoke, and what they said. > You can feed it custom hotwords like names, technical jargon, or domain-specific terms. The model uses them to significantly improve accuracy on specialized content. > VibeVoice-TTS generates up to 90 minutes of multi-speaker speech with up to 4 distinct speakers. Natural turn-taking, emotional expression, all in one pass. > VibeVoice-Realtime is a 0.5B streaming TTS model with ~300ms first-audio latency. Small enough to deploy practically anywhere. All of this is powered by continuous speech tokenizers running at just 7.5 Hz. This ultra-low frame rate preserves audio quality while making long sequences computationally feasible. I have shared the link to the GitHub repo in the replies!

Akshay 🚀

45,256 Aufrufe • vor 4 Monaten