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Échantillons - Marilyn Thornhill/Laurel Gates
Écoutez des exemples de génération présentant la qualité vocale et la polyvalence
Default Sample
Échantillon 1
Mi dulce Tyler, ¿ves lo que pasa cuando sigues mis instrucciones? Siempre supe que eras especial, diferente a los demás. Tu sabe exactamente cuánto te amo. Ahora, cariño, ¿por qué no me ayudas con un pequeño favor?
Default Sample
When we look at the challenges facing humanity today, technology offers unprecedented solutions. By combining innovation with focused implementation, we can solve problems that seemed impossible just a decade ago. The key is ensuring these advances reach everyone, not just the privileged few.
Default Sample
Hey, look what I found in the craft box! We can make Papa a super special howl-o-ween card with glitter and moonstone stickers! Oh, and I saved some candy from trick-or-treating to share with everyone. Isn't that just wonderful?
Sample Transcriptions
Default Sample - Échantillon 1
Mi dulce Tyler, ¿ves lo que pasa cuando sigues mis instrucciones? Siempre supe que eras especial, diferente a los demás. Tu sabe exactamente cuánto te amo. Ahora, cariño, ¿por qué no me ayudas con un pequeño favor?
Default Sample - Bill Gates
When we look at the challenges facing humanity today, technology offers unprecedented solutions. By combining innovation with focused implementation, we can solve problems that seemed impossible just a decade ago. The key is ensuring these advances reach everyone, not just the privileged few.
Default Sample - Winnie Werewolf (Marilyn Schreffler)
Hey, look what I found in the craft box! We can make Papa a super special howl-o-ween card with glitter and moonstone stickers! Oh, and I saved some candy from trick-or-treating to share with everyone. Isn't that just wonderful?
Default Sample - Bill Gates
Our research shows that artificial intelligence combined with advanced diagnostics can predict diabetes risk with 95% accuracy. This breakthrough technology allows healthcare providers to intervene early, potentially preventing millions of cases worldwide through personalized treatment approaches.
Default Sample - Bill Gates (333)
You know, when you look at artificial intelligence today, it's really fascinating because, in a way, it reminds me of the early days of software. We're seeing this incredible opportunity to empower people, and you know, the possibilities are just amazing if we get it right.
Default Sample - Bill Gates
When we started Microsoft, we saw this incredible opportunity with personal computers. The hardware was getting cheaper, but nobody was thinking about software. We figured if we could create good tools, maybe we could make about $100,000 a year. Of course, things turned out quite differently.
Default Sample - bill gates
You know, when we look at global challenges like climate change or healthcare, it's really about scaling solutions. We can invest significant resources now, and that's going to create exponential impact over the next decades. It's fascinating how technology can accelerate this process.
Default Sample - Bill Gates
You know, when we look at artificial intelligence today, it's remarkable how far we've come. I think we're seeing a transformation in healthcare and education, where AI tools are helping doctors diagnose diseases earlier and students learn more effectively. The potential impact is truly extraordinary.
Default Sample - Gates
Man, I was watching the game last night, right, and I'm like, these new players just different. Like, they got all this social media stuff going on, but when it come to actual playing, I'm looking at them like, they ain't got that old school mentality we used to have.
Default Sample - gates interviewer
We're following a developing story tonight about recent policy changes in Washington. While details are still emerging, we've invited Senator Johnson to help us understand the implications. Senator, welcome to the program. What can you tell us about these developments?
Default Sample - bill gates
The advances we're making in artificial intelligence for healthcare are remarkable. Our machine learning systems can now analyze medical images with unprecedented accuracy, but we need to ensure this technology reaches everyone, especially in underserved communities. There's still much work ahead.
Default Sample - Marilyn
Hello hunny how are you doing today
Default Sample - Bill gates
Let's look at artificial intelligence's impact. Today we have about 100 million AI models running. That's going to increase exponentially. If we do this right, combining computing power and ethical guidelines, we could solve major global challenges. But let's break down the numbers.
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