Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

MICROSOFT OPEN SOURCED A 7B PARAMETER MODEL THAT TRANSCRIBES 60 MINUTES OF AUDIO IN A SINGLE PASS and it's completely free VIBEVOICE ASR no chunking, no context loss, full speaker diarization baked in not just speech to text..not a basic wrapper who spoke, when they spoke, exactly what they... show more

Rahul

149,655 subscribers

1,376,808 görüntüleme • 6 ay önce •via X (Twitter)

Eğitim Sağlık & İyilik Bilim & Teknoloji

Anya Rossi• Live Now

Private livecam show

32 Yorum

Seth profil fotoğrafı

Seth6 ay önce

MIT means free code, not free compute. Self-hosting a 7B ASR means a GPU instance running 24/7. That's almost certainly more $/mo than a Deepgram bill. There's no Microsoft-hosted free API tier here.

Stef profil fotoğrafı

Stef6 ay önce

“Free” Who owns the data now? Who can parse and use that content now? Who can leverage that content now? Yeah… “free” is always a Trojan horse.

timdrchslr profil fotoğrafı

timdrchslr6 ay önce

Use groq with whisper large v3 turbo for only 0,04$ per hour, hours of audio transcribed in a couple of seconds!!

Nomad profil fotoğrafı

Nomad6 ay önce

Diarization baked in is cool, but 7B parameters kinda defeats the point. You can’t roll this out on device. Parakeet at 0.6b or Granite 1b are a better fit for os local

EventsLooped profil fotoğrafı

EventsLooped6 ay önce

Whisper models are also free to run on your machine

VC Intern profil fotoğrafı

VC Intern6 ay önce

we’re entering the phase where: speech becomes a solved layer the value won’t be transcription it’ll be what you do with it after

Alpha Batcher profil fotoğrafı

Alpha Batcher6 ay önce

i love free open sourced models >3 applause to Microsoft

Julian Goldie SEO profil fotoğrafı

Julian Goldie SEO6 ay önce

that’s actually a big drop

Sanchit profil fotoğrafı

Sanchit6 ay önce

oh wow i had been using elevenlabs API inside of kilo for some work but it was slightly costly. I am going to try this out. 7B is not a lot to run locally

tang | AI Product Maker profil fotoğrafı

tang | AI Product Maker6 ay önce

the 'no chunking' part is the real unlock. tested 3 ASR pipelines for a video workflow last quarter and chunked diarization always lost ~6-8% speaker accuracy when voices swapped at the chunk boundary. how does VibeVoice deal with overlapping speakers in the same window?

Quadcode AI profil fotoğrafı

Quadcode AI6 ay önce

funny how every week there's a revolutonary asr model that supposedly fixes everything at once if it actually nails long form audio and diarization cleanly then thats genuinely impressive but claims like that usually age weirdly

juaniam profil fotoğrafı

juaniam6 ay önce

Or you can use typrapp with whisper large v3 turbo running locally for free and a nice ui on top

flamz profil fotoğrafı

flamz6 ay önce

Nah, they are data farming peoples voices and you all are willingly giving it to them.

Layton Gott profil fotoğrafı

Layton Gott6 ay önce

It's not completely free...

Sebastian Buzdugan profil fotoğrafı

Sebastian Buzdugan6 ay önce

single pass is cool but diarization quality will decide if this actually ships

Max Bourke profil fotoğrafı

Max Bourke6 ay önce

Hmm single pass sounds good but 7b is pretty big for local transcription… be curious to see if quantized versions perform well.

Victor Tavernari  profil fotoğrafı

Victor Tavernari 6 ay önce

@perssua @lucas_montano

Eric profil fotoğrafı

Eric6 ay önce

ignoring the caps lock hype, the actual signal here isn't the 60 minute context window. it's the native diarization.

CODIFY profil fotoğrafı

CODIFY6 ay önce

That’s ground-breaking!

Ben Dickey profil fotoğrafı

Ben Dickey6 ay önce

Wow,

Cyril Gupta profil fotoğrafı

Cyril Gupta6 ay önce

Microsoft just collapsed half the ASR stack. One-pass transcription + built-in diarization = no chunking, no glue code. Paired with Ollama → fully local, private voice pipelines. Free isn’t the headline. Owning the stack is.

Goldengmgm🐸 Яebel 🪖 profil fotoğrafı

Goldengmgm🐸 Яebel 🪖6 ay önce

wen @AskVenice

Maxwell de Melo profil fotoğrafı

Maxwell de Melo6 ay önce

Nice!

Facundo Campo · Dev profil fotoğrafı

Facundo Campo · Dev6 ay önce

Es un cambio de rumbo!

DiffusionTales profil fotoğrafı

DiffusionTales6 ay önce

I use SubtitleEdit and use the audio to text (whisper).

Adam Jaworski profil fotoğrafı

Adam Jaworski6 ay önce

is it any good?

AIGoldenfinger profil fotoğrafı

AIGoldenfinger6 ay önce

17GB ASR Speech-to-Text model? Are you kidding me? I will run a Film Production Pipelines on 12GB GPU, that would generate the Images, The videos and also the Conversations And also the Music (the score). Microsoft Speech-to-text... ROFL - Get Out Of Here. Go fix your Windows MS

⭕💡 profil fotoğrafı

⭕💡6 ay önce

When you say 🆓 what does it mean?

Terry Nunn profil fotoğrafı

Terry Nunn6 ay önce

Don’t just open source the weights, host it for us for free! No one normal person can afford the GPUs needed for this.

Tabish Gillani profil fotoğrafı

Tabish Gillani6 ay önce

Is it available on

Rey Neill profil fotoğrafı

Rey Neill6 ay önce

Hm

AI's Nest profil fotoğrafı

AI's Nest6 ay önce

We are entering an era where the most successful researchers won't be the best coders, but the best "Product Managers" of their own ideas

Benzer Videolar

🚨 JUST IN: MICROSOFT just open sourced a VOICE AI THAT TRANSCRIBES 60 MINUTES OF AUDIO in a single pass. 100% FREE. It knows who spoke. It knows when they spoke. It knows exactly what they said. All in one shot. No chunking. No context loss. It's called VibeVoice. Not a transcription tool. Not a basic speech to text wrapper. A frontier voice AI family with ASR, TTS, and real time streaming. All open source. All free. Here's what it actually does 👇 VibeVoice ASR - Speech Recognition: → Processes 60 minutes of continuous audio in a single pass → Never slices audio into chunks so global context is never lost → Identifies WHO spoke, WHEN they spoke and WHAT they said simultaneously → Supports customized hotwords for domain specific accuracy → Works in 50+ languages natively → Already adopted by Hugging Face Transformers library → Already being built on by the open source community BY PEOPLE WHO HAD NO IDEA THIS LEVEL OF ACCURACY WAS ALREADY FREE. VibeVoice TTS - Text to Speech: → Generates up to 90 minutes of speech in a single pass → Supports up to 4 distinct speakers in one conversation → Natural turn taking and speaker consistency throughout → Expressive speech that captures emotional nuances → Supports English, Chinese and multiple other languages VibeVoice Realtime - Streaming TTS: → Only 300 millisecond first audible latency → Streams text input in real time → 0.5B parameters so it actually deploys anywhere → Robust long form generation up to 10 minutes → Lightweight enough for production use today The core innovation nobody is talking about: Most voice AI models slice long audio into short chunks. Every time they slice, they lose context. Speaker tracking breaks. Semantic coherence breaks. Accuracy drops. VibeVoice uses continuous speech tokenizers running at an ultra low frame rate of 7.5 Hz. This preserves audio fidelity while dramatically boosting computational efficiency. The entire 60 minutes stays in context. Nothing gets lost. Nobody gets misidentified. The numbers: → VibeVoice ASR 7B - available now on Hugging Face → VibeVoice Realtime 0.5B - try it on Colab right now → 50+ supported languages → 11 distinct English voice styles → 9 multilingual speaker voices → Already integrated into Hugging Face Transformers → Finetuning code now available The wildest part? A voice powered input method called Vibing just built itself on top of VibeVoice ASR. Available on macOS and Windows right now. The open source community is already shipping products on top of this. 100% Open Source. Free to use. Free to fine tune. Free to build on. 🔖 Save this before your competitors find it first. 👇

🚨 JUST IN: MICROSOFT just open sourced a VOICE AI THAT TRANSCRIBES 60 MINUTES OF AUDIO in a single pass. 100% FREE. It knows who spoke. It knows when they spoke. It knows exactly what they said. All in one shot. No chunking. No context loss. It's called VibeVoice. Not a transcription tool. Not a basic speech to text wrapper. A frontier voice AI family with ASR, TTS, and real time streaming. All open source. All free. Here's what it actually does 👇 VibeVoice ASR - Speech Recognition: → Processes 60 minutes of continuous audio in a single pass → Never slices audio into chunks so global context is never lost → Identifies WHO spoke, WHEN they spoke and WHAT they said simultaneously → Supports customized hotwords for domain specific accuracy → Works in 50+ languages natively → Already adopted by Hugging Face Transformers library → Already being built on by the open source community BY PEOPLE WHO HAD NO IDEA THIS LEVEL OF ACCURACY WAS ALREADY FREE. VibeVoice TTS - Text to Speech: → Generates up to 90 minutes of speech in a single pass → Supports up to 4 distinct speakers in one conversation → Natural turn taking and speaker consistency throughout → Expressive speech that captures emotional nuances → Supports English, Chinese and multiple other languages VibeVoice Realtime - Streaming TTS: → Only 300 millisecond first audible latency → Streams text input in real time → 0.5B parameters so it actually deploys anywhere → Robust long form generation up to 10 minutes → Lightweight enough for production use today The core innovation nobody is talking about: Most voice AI models slice long audio into short chunks. Every time they slice, they lose context. Speaker tracking breaks. Semantic coherence breaks. Accuracy drops. VibeVoice uses continuous speech tokenizers running at an ultra low frame rate of 7.5 Hz. This preserves audio fidelity while dramatically boosting computational efficiency. The entire 60 minutes stays in context. Nothing gets lost. Nobody gets misidentified. The numbers: → VibeVoice ASR 7B - available now on Hugging Face → VibeVoice Realtime 0.5B - try it on Colab right now → 50+ supported languages → 11 distinct English voice styles → 9 multilingual speaker voices → Already integrated into Hugging Face Transformers → Finetuning code now available The wildest part? A voice powered input method called Vibing just built itself on top of VibeVoice ASR. Available on macOS and Windows right now. The open source community is already shipping products on top of this. 100% Open Source. Free to use. Free to fine tune. Free to build on. 🔖 Save this before your competitors find it first. 👇

Kanika

222,078 görüntüleme • 7 ay önce

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!

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 görüntüleme • 7 ay önce

Microsoft just killed voice subscriptions. 🤯 They quietly open-sourced VibeVoice, and it’s a total industry disruptor. Transcribe hour-long meetings or generate 90 minutes of natural, multi-speaker speech, all locally on your hardware for free. It handles 50+ languages and complex speaker tracking without the monthly fees. The era of expensive voice apps is officially over. I share updates like these in my free AI community on WhatsApp. Join here

Microsoft just killed voice subscriptions. 🤯 They quietly open-sourced VibeVoice, and it’s a total industry disruptor. Transcribe hour-long meetings or generate 90 minutes of natural, multi-speaker speech, all locally on your hardware for free. It handles 50+ languages and complex speaker tracking without the monthly fees. The era of expensive voice apps is officially over. I share updates like these in my free AI community on WhatsApp. Join here

Vaibhav Sisinty

22,132 görüntüleme • 7 ay önce

MICROSOFT DROPPED A 4B PARAMETER MODEL THAT TURNS ONE IMAGE INTO A 3D ASSET IN 3 SECONDS and it's open source TRELLIS.2 fully textured, physically accurate 3D models with PBR textures out of the box not a rough mesh..not a placeholder roughness, metallic, opacity the kind of detail that makes things look real under any lighting and it handles the weird stuff too..open surfaces, hollow interiors, geometry that breaks every other tool the model doesn't know the word "limitation" apparently demo is live on hugging face right now

MICROSOFT DROPPED A 4B PARAMETER MODEL THAT TURNS ONE IMAGE INTO A 3D ASSET IN 3 SECONDS and it's open source TRELLIS.2 fully textured, physically accurate 3D models with PBR textures out of the box not a rough mesh..not a placeholder roughness, metallic, opacity the kind of detail that makes things look real under any lighting and it handles the weird stuff too..open surfaces, hollow interiors, geometry that breaks every other tool the model doesn't know the word "limitation" apparently demo is live on hugging face right now

Vaishnavi

356,091 görüntüleme • 6 ay önce

Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.

Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model.

Mark Zuckerberg

1,128,640 görüntüleme • 2 ay önce

🚨 ElevenLabs just killed every transcription tool on the market. They dropped Scribe v2 Realtime and it's not just another speech-to-text model. This thing processes audio in real-time with zero lag, handles multiple speakers, and actually understands context not just words. Here's how with real examples: Full thread 🧵

🚨 ElevenLabs just killed every transcription tool on the market. They dropped Scribe v2 Realtime and it's not just another speech-to-text model. This thing processes audio in real-time with zero lag, handles multiple speakers, and actually understands context not just words. Here's how with real examples: Full thread 🧵

Hasan Toor

220,789 görüntüleme • 1 yıl önce

$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 görüntüleme • 3 ay önce

French President Macron: I do believe in free speech. But what does it mean? Free speech means I will listen to you, you will listen to me, and we are in an equal relationship. A lot of people defending free speech do it based on algorithms without any transparency, with a lot of bias, and with their own political agenda. It's not free speech. And when people clearly help hate speech, racist speech to be spread all over the place, it's not about free speech. It's a jungle. I really believe in free speech based on respect and transparency.

French President Macron: I do believe in free speech. But what does it mean? Free speech means I will listen to you, you will listen to me, and we are in an equal relationship. A lot of people defending free speech do it based on algorithms without any transparency, with a lot of bias, and with their own political agenda. It's not free speech. And when people clearly help hate speech, racist speech to be spread all over the place, it's not about free speech. It's a jungle. I really believe in free speech based on respect and transparency.

Clash Report

789,189 görüntüleme • 8 ay önce

French President Macron: I do believe in free speech. But what does it mean? Free speech means I will listen to you, you will listen to me, and we are in an equal relationship. A lot of people defending free speech do it based on algorithms without any transparency, with a lot of bias, and with their own political agenda. It's not free speech. And when people clearly help hate speech, racist speech to be spread all over the place, it's not about free speech. It's a jungle. I really believe in free speech based on respect and transparency.

French President Macron: I do believe in free speech. But what does it mean? Free speech means I will listen to you, you will listen to me, and we are in an equal relationship. A lot of people defending free speech do it based on algorithms without any transparency, with a lot of bias, and with their own political agenda. It's not free speech. And when people clearly help hate speech, racist speech to be spread all over the place, it's not about free speech. It's a jungle. I really believe in free speech based on respect and transparency.

Open Source Intel

63,655 görüntüleme • 8 ay önce

Hermes Agent is now free to run 24/7. No paid model needed. You can plug in: → Qwen 3.6 Plus → OwlAlpha via OpenRouter Both have 1M token context windows. That means your agent can research, write, find leads, handle tasks, and build workflows without burning through paid API credits. The best part? When one free model hits limits, just switch to the other. Free AI agents are getting scary fast.

Hermes Agent is now free to run 24/7. No paid model needed. You can plug in: → Qwen 3.6 Plus → OwlAlpha via OpenRouter Both have 1M token context windows. That means your agent can research, write, find leads, handle tasks, and build workflows without burning through paid API credits. The best part? When one free model hits limits, just switch to the other. Free AI agents are getting scary fast.

Julian Goldie SEO

21,609 görüntüleme • 6 ay önce

BOOM! Microsoft just released an upgraded VibeVoice Large ~10B Text to Speech model - MIT licensed 🔥 > Generate multi-speaker podcasts in minutes ⚡ > Works blazingly fast on ZeroGPU with H200 (FREE) Try it out today!

BOOM! Microsoft just released an upgraded VibeVoice Large ~10B Text to Speech model - MIT licensed 🔥 > Generate multi-speaker podcasts in minutes ⚡ > Works blazingly fast on ZeroGPU with H200 (FREE) Try it out today!

Vaibhav (VB) Srivastav

89,624 görüntüleme • 1 yıl önce

Excited about the launch of Amazon Nova Sonic, our new speech-to-speech model that helps make AI voice applications feel remarkably natural. It's designed to understand not just what people say, but how they say it – working with tone, style, and conversation flow including pauses and interruptions. Nova Sonic delivers speech understanding and generation through a single, unified model, making it easier for builders to develop voice applications that maintain important context and nuance for customer service, AI agents, and other use cases across industries. It’s available in Amazon Bedrock now. Look forward to seeing what teams build with Nova Sonic!

Excited about the launch of Amazon Nova Sonic, our new speech-to-speech model that helps make AI voice applications feel remarkably natural. It's designed to understand not just what people say, but how they say it – working with tone, style, and conversation flow including pauses and interruptions. Nova Sonic delivers speech understanding and generation through a single, unified model, making it easier for builders to develop voice applications that maintain important context and nuance for customer service, AI agents, and other use cases across industries. It’s available in Amazon Bedrock now. Look forward to seeing what teams build with Nova Sonic!

Andy Jassy

155,987 görüntüleme • 1 yıl önce

NVIDIA really removed the biggest friction point in Voice AI 🤯 They open-sourced PersonaPlex-7B, a full-duplex conversational model that can listen and speak at the same time. Instead of waiting for you to finish talking, it uses a dual-stream architecture to process and respond in real-time. 100% Open-Source and Free.

NVIDIA really removed the biggest friction point in Voice AI 🤯 They open-sourced PersonaPlex-7B, a full-duplex conversational model that can listen and speak at the same time. Instead of waiting for you to finish talking, it uses a dual-stream architecture to process and respond in real-time. 100% Open-Source and Free.

Oliver

260,464 görüntüleme • 1 ay önce

2.78 TRILLION parameter AI running on just 8GB RAM 😳 Meet kimi-k3-in-c , a free open-source project that runs Kimi K3 on a CPU. what you get : → Full 2.78T parameter model → Around 8.24GB RAM, no GPU → Just 176KB of C code → No PyTorch or CUDA → Supports Linux, macOS and Windows how to try it :) 1. Clone the GitHub repo 2. Run "make" 3. Run "./scripts/k3-doctor.sh" 4. Download the checkpoint and choose a suitable preset GitHub: It's slow and needs plenty of SSD storage, but running a model this large on a CPU is pretty wild.

2.78 TRILLION parameter AI running on just 8GB RAM 😳 Meet kimi-k3-in-c , a free open-source project that runs Kimi K3 on a CPU. what you get : → Full 2.78T parameter model → Around 8.24GB RAM, no GPU → Just 176KB of C code → No PyTorch or CUDA → Supports Linux, macOS and Windows how to try it :) 1. Clone the GitHub repo 2. Run "make" 3. Run "./scripts/k3-doctor.sh" 4. Download the checkpoint and choose a suitable preset GitHub: It's slow and needs plenty of SSD storage, but running a model this large on a CPU is pretty wild.

DEATHLESS

26,284 görüntüleme • 11 gün önce

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

Isra

58,018 görüntüleme • 4 ay önce

Introducing Fish Audio Live 3: a full-duplex voice model that listens, says "mm-hmm," and knows when to shut up. Enterprise? Book a demo for your free custom agent: Reply with your use case - we'll build it free for the first 1,000 people.

Introducing Fish Audio Live 3: a full-duplex voice model that listens, says "mm-hmm," and knows when to shut up. Enterprise? Book a demo for your free custom agent: Reply with your use case - we'll build it free for the first 1,000 people.

Rissa Cao

2,206,702 görüntüleme • 4 gün önce

When someone on the left gets fired for what they said, it's: "Donald Trump wants to take away free speech". When someone on the right gets fired for what they said, it’s just and makes sense. “They deserved it.” This isn’t about being principled, they simply will use any tool to attempt to make Trump and the right look bad. That’s the goal.

When someone on the left gets fired for what they said, it's: "Donald Trump wants to take away free speech". When someone on the right gets fired for what they said, it’s just and makes sense. “They deserved it.” This isn’t about being principled, they simply will use any tool to attempt to make Trump and the right look bad. That’s the goal.

Jeffery Mead

1,193,370 görüntüleme • 1 yıl önce

NVIDIA is releasing an open speech model that can transcribe a meeting, label who said what, translate it and answer questions about the recording: Nemotron 3.5 Transcribe supports: - Transcription in 40 languages - Translation between English and 31 languages - Up to eight speakers, with speaker labels in 13 languages - Recordings up to an hour long You can give it names and technical terms to guide the transcript, or ask questions about the audio. Audio Q&A is trained in English. It has roughly 30B parameters, with about 4B active per token, and can run on your own NVIDIA GPU. According to NVIDIA's launch materials, it ranks first among open-weight models on Hugging Face's English Open ASR leaderboard and leads VoiceArena's 14-system test of transcription with speaker attribution. Built for recorded audio. Live streaming uses a separate model. Super cool to see! Model: Demo: Blog:

NVIDIA is releasing an open speech model that can transcribe a meeting, label who said what, translate it and answer questions about the recording: Nemotron 3.5 Transcribe supports: - Transcription in 40 languages - Translation between English and 31 languages - Up to eight speakers, with speaker labels in 13 languages - Recordings up to an hour long You can give it names and technical terms to guide the transcript, or ask questions about the audio. Audio Q&A is trained in English. It has roughly 30B parameters, with about 4B active per token, and can run on your own NVIDIA GPU. According to NVIDIA's launch materials, it ranks first among open-weight models on Hugging Face's English Open ASR leaderboard and leads VoiceArena's 14-system test of transcription with speaker attribution. Built for recorded audio. Live streaming uses a separate model. Super cool to see! Model: Demo: Blog:

Chubby♨️

52,135 görüntüleme • 17 gün önce