Transcribe real-world audio with an API call.

[Speaker 0:] And, Jessica, Christina, we are so proud of you. I’m gonna do great today. We’ll be waiting for you here in a couple hours when you get home. I’m gonna hand you over to Stephanie now.

[Speaker 1:] Have a great great EVA. Drew, thank you so much. It’s been our pleasure working with you this morning, and working on getting my EV hat open. and I can report. It’s opened and stowed. Thank you, Drew. Thank you so much.

[Speaker 2:] Tika. On your GCMs, Take your power switches to bat, stagger switch throws, and expect a warning tone.

[Speaker 3:] Final steps before they begin the space launch. Copy. Check display switch functional. Tracy, how important is this this regarding it? There is Sounds like seems like a lot to remember on your own. Absolutely.

[Speaker 2:] Take power eighty one eighty two, two switches to off, o f f. And Christina and just could have enough work with their hands and feet and their brain outside that it really helps to have someone like Stephanie. New powerboat off. DCMs. This connect your SCUs from your DCMs and stow the SCUs in the pouch. So not only does Stephanie

[Speaker 3:] Thirty eight AM central time. A little ahead of schedule about twelve minutes, but That gets us started on today’s historic spacewalk. Andrew Morgan there. He’s been wishing the crew luck. He’s being made in pouch and DCM cover clothes.

[Speaker 2:] Copy. You need to.

[Speaker 0:] Yeah. I mean Welcome to the AI Show. I’m Scott Stephenson, cofounder of Deepgram. With me is Jeff Ward, a k a Susan. He’s a navy pilot, acclaimed dad joke We’ve never had you. Give a dad joke. We need to do that. Acclaimed dad joke writer. Yeah. Well, okay.

[Speaker 1:] Knock knock

[Speaker 0:] Who’s there?

[Speaker 1:] Spell

[Speaker 0:] Spell who?

[Speaker 1:] W H O

[Speaker 0:] Oh, good one. Tensor. That’s a real good one. He’s also an AI scientist at Deepgram on the AI show, we talk about all things AI. What is it? What can you do with it? How does it affect you? Where is it going? We’re live and ready to answer your questions. Comment on YouTube and Twitch or Tweet at Deepgram AI to join in. Today, we’re asking the question. Our big question How is machine learning or deep learning affecting science?

[Speaker 1:] Actually, I’m asking the question of you.

[Speaker 0:] Good. I’m ready to answer. What’s the question?

[Speaker 1:] For those that do not know, Scott here has a little bit of a science background

[Speaker 0:] a little bit

[Speaker 1:] and a little bit of machine learning and science background

[Speaker 0:] That’s true. Yeah.

[Speaker 1:] So so, Scott, can you at least give us a just give us the the the ten thousand foot overview of of a little bit of what you’ve done?

[Speaker 0:] Ten ten thousand foot overview is I’d have a PhD in particle physics, and I was

[Speaker 1:]Yes, sir. Yes.

[Speaker 0:] So doctor Scott But I was searching for dark matter, deep underground, in a government controlled region of China, basically a James Bond lair.

[Speaker 1:] I like it.

[Speaker 0:] Yep. We had to design the experiment and build the experiment, operate the experiment, take data, analyze the data, write a paper, you know. So this is what you do in experimental particle physics. And we did that searching for dark matter. Mhmm. And we did it with lots of computers, servers, CPUs, things like that, lots of copper, plastic, liquid Xenon cryogenic stuff, and the CPUs were used to do data analysis, and we were using, like, boosted decision trees and neural networks and other standard, like, statistics based cuts in order to figure out Was it a dark matter particle or not? So tons of signal signal noise search space. Yeah. Yeah

[Speaker 0:] Thank you for calling premier phone service. This call may be recorded for quality and training purposes. My name is Beth, and I’ll be assisting you. How are you today?

[Speaker 1:] I’m pretty good. Thanks. How are you?

[Speaker 0:] I’m doing well. Thank you. May I have your name?

[Speaker 1:] Yeah. Sure. My name’s Tom Idol.

[Speaker 0:] Can you spell that last name for me?

[Speaker 1:] Yeah. Yeah. i d l e.

[Speaker 0:] Okay. l e at the end. I was picturing it idle, like American Idol, i b o l.

[Speaker 1:] Yeah. That that happens a lot. It’s not really a common name.

[Speaker 0:] Okay, mister Idol. How can I help you today?

[Speaker 1:] Yeah. I need some information on upgrading my service plan.

[Speaker 0:] Sure. I can absolutely help you with that today. Can you tell me what plan you have currently?

[Speaker 1:] I think it’s a silver plan. Let me get my classes so I can read this. Yeah. Yeah. It’s the silver plan.

[Speaker 0:] Okay. Alright. Silver plan. And how many people do you have on your plan right now?

[Speaker 1:] Three. I’ve got my brother, Billy, my mom cat, and I guess I count too. So yeah. That’s three.

[Speaker 0:] Great. And how can I help you with your plan today, sir? Oh, you can call me, Tom. There’s no date for this, sir.

[Speaker 0:] I’m sorry, Tom. It’s just an old habit. How can I help you with your plan?

[Speaker 1:] Well, on my plan right now, I can only have three people on it, and I’m wanting to add more. So I’m wondering if I can switch my plan up or upgrade it somehow.

[Speaker 0:] And how many more people are you wanting to add to your plan?

[Speaker 1:] Well, here’s the thing. I need to add three more people so far. I wanted to add my friend Margaret, my daughter, Anna, and my son Todd.

[Speaker 0:] Alright? We do have a few options that support six users. One is our gold, the other is our platinum plan.

[Speaker 1:] Okay. So how much are those gonna cost me?

[Speaker 0:] Well, the gold plan is