• ThursdAI - Mar 20 - OpenAIs new voices, Mistral Small, NVIDIA GTC recap & Nemotron, new SOTA vision from Roboflow & more AI news

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ThursdAI - Mar 20 - OpenAIs new voices, Mistral Small, NVIDIA GTC recap & Nemotron, new SOTA vision from Roboflow & more AI news

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  • Hey, it's Alex, coming to you fresh off another live recording of ThursdAI, and what an incredible one it's been! I was hoping that this week will be chill with the releases, because of NVIDIA's GTC conference, but no, the AI world doesn't stop, and if you blinked this week, you may have missed 2 or 10 major things that happened. From Mistral coming back to OSS with the amazing Mistral Small 3.1 (beating Gemma from last week!) to OpenAI dropping a new voice generation model, and 2! new whisper killer ASR models with a Breaking News during our live show (there's a reason we're called ThursdAI) which we watched together and then dissected with Kwindla, our amazing AI VOICE and real time expert. Not to mention that we also had dedicated breaking news from friend of the pod Joseph Nelson, that came on the show to announce a SOTA vision model from Roboflow + a new benchmark on which even the top VL models get around 6%! There's also a bunch of other OSS, a SOTA 3d model from Tencent and more! And last but not least, Yam is back 🎉 So... buckle up and let's dive in. As always, TL;DR and show notes at the end, and here's the YT live version. (While you're there, please hit subscribe and help me hit that 1K subs on YT 🙏 )Voice & Audio: OpenAI's Voice Revolution and the Open Source EchoHold the phone, everyone, because this week belonged to Voice & Audio! Seriously, if you weren't paying attention to the voice space, you missed a seismic shift, courtesy of OpenAI and some serious open-source contenders.OpenAI's New Voice Models - Whisper Gets an Upgrade, TTS Gets Emotional!OpenAI dropped a suite of next-gen audio models: gpt-4o-mini-tts-latest (text-to-speech) and GPT 4.0 Transcribe and GPT 4.0 Mini Transcribe (speech-to-text), all built upon their powerful transformer architecture.To unpack this voice revolution, we welcomed back Kwindla Cramer from Daily, the voice AI whisperer himself. The headline news? The new speech-to-text models are not just incremental improvements; they’re a whole new ballgame. As OpenAI’s Shenyi explained, "Our new generation model is based on our large speech model. This means this new model has been trained on trillions of audio tokens." They're faster, cheaper (Mini Transcribe is half price of Whisper!), and boast state-of-the-art accuracy across multiple languages. But the real kicker? They're promptable!"This basically opens up a whole field of prompt engineering for these models, which is crazy," I exclaimed, my mind officially blown. Imagine prompting your transcription model with context – telling it you're discussing dog breeds, and suddenly, its accuracy for breed names skyrockets. That's the power of promptable ASR! I recorded a live reaction aftder dropping of stream, and I was really impressed with how I can get the models to pronounce ThursdAI by just... asking! But the voice magic doesn't stop there. GPT 4.0 Mini TTS, the new text-to-speech model, can now be prompted for… emotions! "You can prompt to be emotional. You can ask it to do some stuff. You can prompt the character a voice," OpenAI even demoed a "Mad Scientist" voice! Captain Ryland voice, anyone? This is a huge leap forward in TTS, making AI voices sound… well, more human.But wait, there’s more! Semantic VAD! Semantic Voice Activity Detection, as OpenAI explained, "chunks the audio up based on when the model thinks The user's actually finished speaking." It’s about understanding the meaning of speech, not just detecting silence. Kwindla hailed it as "a big step forward," finally addressing the age-old problem of AI agents interrupting you mid-thought. No more robotic impatience!OpenAI also threw in noise reduction and conversation item retrieval, making these new voice models production-ready powerhouses. This isn't just an update; it's a voice AI revolution, folks.They also built a super nice website to test out the new models with openai.fm ! Canopy Labs' Orpheus 3B - Open Source Voice Steps UpBut hold on, the open-source voice community isn't about to be outshone! Canopy Labs dropped Orpheus 3B, a "natural sounding speech language model" with open-source spirit. Orpheus, available in multiple sizes (3B, 1B, 500M, 150M), boasts zero-shot voice cloning and a glorious Apache 2 license. Wolfram noted its current lack of multilingual support, but remained enthusiastic, I played with them a bit and they do sound quite awesome, but I wasn't able to finetune them on my own voice due to "CUDA OUT OF MEMORY" alasI did a live reaction recording for this model on XNVIDIA Canary - Open Source Speech Recognition Enters the RaceSpeaking of open source, NVIDIA surprised us with Canary, a speech recognition and translation model. "NVIDIA open sourced Canary, which is a 1 billion parameter and 180 million parameter speech recognition and translation, so basically like whisper competitor," I summarized. Canary is tiny, fast, and CC-BY licensed, allowing commercial use. It even snagged second place on the ...
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Hey, it's Alex, coming to you fresh off another live recording of ThursdAI, and what an incredible one it's been! I was hoping that this week will be chill with the releases, because of NVIDIA's GTC conference, but no, the AI world doesn't stop, and if you blinked this week, you may have missed 2 or 10 major things that happened. From Mistral coming back to OSS with the amazing Mistral Small 3.1 (beating Gemma from last week!) to OpenAI dropping a new voice generation model, and 2! new whisper killer ASR models with a Breaking News during our live show (there's a reason we're called ThursdAI) which we watched together and then dissected with Kwindla, our amazing AI VOICE and real time expert. Not to mention that we also had dedicated breaking news from friend of the pod Joseph Nelson, that came on the show to announce a SOTA vision model from Roboflow + a new benchmark on which even the top VL models get around 6%! There's also a bunch of other OSS, a SOTA 3d model from Tencent and more! And last but not least, Yam is back 🎉 So... buckle up and let's dive in. As always, TL;DR and show notes at the end, and here's the YT live version. (While you're there, please hit subscribe and help me hit that 1K subs on YT 🙏 )Voice & Audio: OpenAI's Voice Revolution and the Open Source EchoHold the phone, everyone, because this week belonged to Voice & Audio! Seriously, if you weren't paying attention to the voice space, you missed a seismic shift, courtesy of OpenAI and some serious open-source contenders.OpenAI's New Voice Models - Whisper Gets an Upgrade, TTS Gets Emotional!OpenAI dropped a suite of next-gen audio models: gpt-4o-mini-tts-latest (text-to-speech) and GPT 4.0 Transcribe and GPT 4.0 Mini Transcribe (speech-to-text), all built upon their powerful transformer architecture.To unpack this voice revolution, we welcomed back Kwindla Cramer from Daily, the voice AI whisperer himself. The headline news? The new speech-to-text models are not just incremental improvements; they’re a whole new ballgame. As OpenAI’s Shenyi explained, "Our new generation model is based on our large speech model. This means this new model has been trained on trillions of audio tokens." They're faster, cheaper (Mini Transcribe is half price of Whisper!), and boast state-of-the-art accuracy across multiple languages. But the real kicker? They're promptable!"This basically opens up a whole field of prompt engineering for these models, which is crazy," I exclaimed, my mind officially blown. Imagine prompting your transcription model with context – telling it you're discussing dog breeds, and suddenly, its accuracy for breed names skyrockets. That's the power of promptable ASR! I recorded a live reaction aftder dropping of stream, and I was really impressed with how I can get the models to pronounce ThursdAI by just... asking! But the voice magic doesn't stop there. GPT 4.0 Mini TTS, the new text-to-speech model, can now be prompted for… emotions! "You can prompt to be emotional. You can ask it to do some stuff. You can prompt the character a voice," OpenAI even demoed a "Mad Scientist" voice! Captain Ryland voice, anyone? This is a huge leap forward in TTS, making AI voices sound… well, more human.But wait, there’s more! Semantic VAD! Semantic Voice Activity Detection, as OpenAI explained, "chunks the audio up based on when the model thinks The user's actually finished speaking." It’s about understanding the meaning of speech, not just detecting silence. Kwindla hailed it as "a big step forward," finally addressing the age-old problem of AI agents interrupting you mid-thought. No more robotic impatience!OpenAI also threw in noise reduction and conversation item retrieval, making these new voice models production-ready powerhouses. This isn't just an update; it's a voice AI revolution, folks.They also built a super nice website to test out the new models with openai.fm ! Canopy Labs' Orpheus 3B - Open Source Voice Steps UpBut hold on, the open-source voice community isn't about to be outshone! Canopy Labs dropped Orpheus 3B, a "natural sounding speech language model" with open-source spirit. Orpheus, available in multiple sizes (3B, 1B, 500M, 150M), boasts zero-shot voice cloning and a glorious Apache 2 license. Wolfram noted its current lack of multilingual support, but remained enthusiastic, I played with them a bit and they do sound quite awesome, but I wasn't able to finetune them on my own voice due to "CUDA OUT OF MEMORY" alasI did a live reaction recording for this model on XNVIDIA Canary - Open Source Speech Recognition Enters the RaceSpeaking of open source, NVIDIA surprised us with Canary, a speech recognition and translation model. "NVIDIA open sourced Canary, which is a 1 billion parameter and 180 million parameter speech recognition and translation, so basically like whisper competitor," I summarized. Canary is tiny, fast, and CC-BY licensed, allowing commercial use. It even snagged second place on the ...
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