# OpenAI's New Model Talks and Listens Simultaneously

An episode of [AI Chat: AI News on Claude, ChatGPT, Gemini, Grok, Perplexity](https://invisiblenetwork.ai/podcast/1669990482), 8 Jul 2026, 14 min.

Audio: https://content.rss.com/episodes/365073/2973072/ai-chat-podcast/2026_07_08_21_40_34_218a8268-03c8-45dc-8f7e-85b4ab998951.mp3

Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! In this episode, we discuss OpenAI's new GPT Live 1, a groundbreaking voice model capable of listening and speaking simultaneously. Additionally, we explore the implications of recent security concerns flagged by China regarding Claude code, the advancements in open-source AI from NVIDIA, and Meta's latest developments in AI glasses. Chapters 00:00 Introduction to AI Chat Daily 00:44 OpenAI's GPT Live One Launch 06:09 China Flags Claude Code 08:14 NVIDIA's Nemotron 3 Ultra 10:00 Meta's AI Glasses Developments 11:44 OpenAI Chief Futurist Departure Show Links • Get the top 80+ AI Models for $8.99 at AI Box: https://aibox.ai • How I Grow and Scale My Business with AI: https://www.skool.com/aihustle • Get the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

## Transcript

[0:02] Welcome to the AI Chat Podcast. I'm your host,
[0:04] Jaden Schaefer. Every day I cover cutting -edge
[0:07] AI news and talk with the leaders behind it,
[0:09] breaking down what it means for your life and
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[0:52] news site with tons of articles. I'll probably
[0:53] publish about 10 of them every single day. So
[0:55] if you want to go check that out, AIChatDaily
[0:57] .com. Okay, OpenAI is shipping GPT Live 1. So
[1:02] this is a full duplex voice model. And what duplex
[1:05] voice model means, well, this is actually kind
[1:06] of crazy because Miriam Murady, who is formerly
[1:09] at OpenAI, she released something recently with
[1:12] her most recent company. Thinking Machine Labs,
[1:14] where it's, I mean, essentially it looks like
[1:16] OpenAI has just knocked her off. So this is going
[1:19] to be interesting. Also, China has flagged Anthropix
[1:22] Cloud Code. They say that this is a security
[1:24] risk because there's some backdoor risks with
[1:26] it, which I don't know. I just think anything
[1:28] with security risk is ironic coming from China.
[1:30] NVIDIA's Nemotron 3 Ultra has just hit closed
[1:34] model parity at a 10x lower cost. And this is
[1:38] from some experiments they've been doing on Langchain.
[1:40] I'm really excited when we're able to get the
[1:41] costs down on some of these. models. Meta is
[1:44] adding a tamper -proof LED to their AI Meta glasses,
[1:48] and they're also getting more data collection
[1:50] from other parts of the glasses. So there's kind
[1:52] of a mixed bag with what's going on there. An
[1:55] AI, the OpenAI chief futurist, John HM, is leaving.
[1:59] He's been there for nine years. He's one of the
[2:01] OG trust and safety people over OpenAI. But let's
[2:04] kick the podcast off with OpenAI's latest model,
[2:06] GPT Live 1. This is a voice model. It listens
[2:10] and it speaks at the same time. is something
[2:12] that you've probably noticed a lot of these voice
[2:14] models have struggled with in the past. If you're
[2:16] talking to, you know, what voice mode is on chat
[2:19] GPT right now, which by the way, this replaces
[2:21] their advanced voice mode. But if you, if you've
[2:23] ever talked to it before you talk, there's a
[2:25] couple seconds of latency, then it responds back
[2:27] to you. And they've done a lot of work to try
[2:28] to like get that latency down as much as possible.
[2:31] But what's really cool about these new live one
[2:33] model is that it's literally listening and it's
[2:35] able to listen and talk at the same time, because
[2:37] that's how actual humans talk. When we're in
[2:39] a conversation, we kind of interrupt each other.
[2:41] We talk. over each other. They're saying something,
[2:43] you're saying something. And I mean, the goal
[2:44] is not to interrupt and talk over each other.
[2:46] But it's just part of communication, right? Like,
[2:48] we don't always wait for there to be a perfect
[2:49] pause at the end of everything that someone says
[2:51] before we jump in. So that's what these models
[2:53] are getting really good at, which is really interesting.
[2:56] And what's to me really crazy about this is that
[2:59] Miriam Marotti released a model just like this
[3:01] a number of months ago. I remember covering it
[3:03] on the podcast and it was like the big thing
[3:05] from Thinking Machine Labs. And I was like, man,
[3:06] this is a really cool idea and concept. Well,
[3:08] turns out, you know, a couple months later, anyone
[3:11] that releases any sort of cool new feature, a
[3:13] couple months later, the Frontier Labs are going
[3:15] to be able to clone it, reverse engineer and
[3:17] put it out themselves because, you know, they
[3:18] don't want to fall behind. The reason why I think
[3:20] this is one in particular is an important feature
[3:22] is because there's three separate things that
[3:25] are getting collapsed into one step. Number one,
[3:28] it's cutting the delay. So it's going to let
[3:30] your conversation be way more natural. And they're
[3:32] also going to be rolling this out to 150 million
[3:35] chat GPT voice users. And finally, the way this
[3:38] works is really interesting to me. So there's
[3:40] something called GPT live one mini, and this
[3:42] is going to be for basically all of the free
[3:44] users, it's kind of the default. But if you're
[3:46] on the paid tier, if you're paying $20 a month
[3:48] for chat GPT, you get the larger GPT live one,
[3:51] which is going to send some of the harder questions
[3:53] over to GPT. 5 .5 mid conversation. So you're
[3:56] going to be talking in the middle of the conversation.
[3:57] If you're saying something kind of complex and
[3:59] it's getting like, I mean, basically get half
[4:01] your sentence, send it over to GPT 5 .5 to try
[4:03] to come up with a response and send it back and
[4:05] put it out before you even finish your sentence,
[4:07] which is really crazy. It can be interrupted
[4:10] in the middle of a sentence. So if it's talking,
[4:12] you can interrupt it. It handles silences while
[4:14] you think. So just because, you know, you're,
[4:16] you're pausing to think about something doesn't
[4:18] mean it feels like it has to jump in, which is
[4:19] something really annoying. I feel like I can
[4:21] barely like keep my thoughts. Like I can barely
[4:23] think when I'm talking to these things because
[4:25] I got to talk so fast because if I stop talking,
[4:26] it's going to want to jump in and start talking
[4:28] to me. So I really appreciate that. And it's
[4:31] going to show charts or images alongside whatever
[4:33] you're talking to it about, which, you know,
[4:35] before it was just kind of this like animated
[4:37] strobe on your screen. But now if you're talking,
[4:40] you're like, hey, you know, what are the, you
[4:42] know, what's the weather going to be like? It's
[4:43] actually pulling up weather charts on the screen
[4:45] while it talks to you. So you get visual and
[4:47] audio, which is really cool. The product leave
[4:49] on this is or the product lead is Addy. Letty.
[4:52] He said that he held a 30 to 40 minute conversation
[4:56] with the model on walks. And I think the goal
[4:59] and probably the reason why they're telling us
[5:01] this is because they're trying to make this something
[5:02] for or trying to explain this is really good
[5:05] for long running tasks. This isn't just quick
[5:07] commands like, hey, what's the weather like?
[5:08] It's like, hey, I'm trying to break down this
[5:10] complex business plan that I want to, you know,
[5:12] create. talk with me about this, or I'm trying
[5:14] to figure out what the best strategy is for XYZ,
[5:16] talk to me about this. And you go and have a
[5:19] 40 minute conversation to learn something to
[5:21] plan something to actually get something done,
[5:23] which if I'm being honest, I was kind of moving
[5:25] away from opening eye and chat GPT for a while
[5:26] because it didn't feel like that was their focus.
[5:28] And I was going to Claude, but I've been trying
[5:30] out a bunch of things on chat GPT lately, mostly
[5:34] like whenever my whenever my tokens, my token
[5:36] limits reach on Claude, I go back to chat GPT.
[5:39] And I've been really impressed by the research
[5:41] it can do, where I'm like, hey, you know, go
[5:43] scrape like these 5000 things and do an analysis
[5:46] on these different websites or these different
[5:48] products and like, bring me back, you know, help
[5:51] me create a list of 365 XYZ things I can do for
[5:53] this, like it goes and get some real serious
[5:56] work done. So I'm really excited. I think the
[5:59] reason why this is particularly important beyond
[6:01] just humans is because we're going to have a
[6:03] lot of work with earbuds and wearables that OpenAI
[6:07] is currently working on. And so a lot of the
[6:10] hardware that they're making, these tools are
[6:13] going to be really useful for. And, you know,
[6:15] when we start talking about robots, getting them
[6:17] and all that kind of stuff and be able to communicate
[6:19] with that, this is going to be important that
[6:21] the communication is as smooth as possible. China
[6:24] is flagging Anthropics Cloud Code as a security
[6:26] backdoor risk, which is hilarious because China
[6:29] has been accused of putting backdoors into chips
[6:31] and hardware inside of China for many years on,
[6:35] you know, servers and all sorts of crazy stuff.
[6:37] But this in particular, I do think is probably
[6:39] accurate. What they've said is that Claude Code
[6:41] has a backdoor vulnerability that's going to
[6:44] leak your location and your identity data. And
[6:47] they're telling everyone in China to uninstall
[6:49] or to upgrade the version if you have something
[6:52] installed between April and June to upgrade it.
[6:54] The advisory is interesting because Claude Code
[6:57] isn't officially sold in China. So, you know,
[7:00] Alibaba has banned Anthropic Tools company -wide.
[7:03] This is also a week after Anthropic accused Alibaba
[7:06] of stealing. their AI technology. And what was
[7:09] interesting to me is there's like some, some
[7:12] moments where different people inside of I think
[7:14] Exomi, they had like an AI, AI developer conference,
[7:17] I think, and they were kind of publicly acknowledging
[7:18] that they were using cloud code at a state organized
[7:21] forum. This is back in March, even though it's,
[7:24] you know, officially not available in China.
[7:26] So it's funny, because it's like officially not
[7:28] available, officially not sold, Alibaba is banning
[7:30] it, no one's supposed to be using it. And yet
[7:32] China's like warning everybody, like they know
[7:34] they're using it. Anyways, it's kind of crazy.
[7:36] What I do think is important, though, is this
[7:39] particular flag they have is version 2 .191 to
[7:43] 2 .19656. But we're already on 2 .12 for the
[7:50] version that we're currently on. So if you're
[7:52] on the latest Anthropic thing, this isn't really
[7:54] relevant to you. Most modern coding assistants,
[7:57] so if you look at like OpenAI and Google, they're
[7:59] sending what's called... telemetry and crash
[8:02] reports back to the main servers. And anytime
[8:06] that something happens, I think this is what
[8:07] China is worried about the crash reports, they're
[8:09] worried has too much information about the users
[8:11] in it. But China wasn't really clarifying if
[8:14] quad code was the only one doing this, why they
[8:17] were singled out and not like open AI and Google.
[8:20] I'm not even sure if Google's is available in
[8:23] China. So anyways, it's China's a crazy, crazy
[8:26] place. In a big win for open source models, NVIDIA's
[8:29] open source Nemotron 3 Ultra model now matches
[8:33] the best closed AI systems on business tasks.
[8:36] So not everything, but business tasks specifically,
[8:39] and it can do them at a tenth of the cost. Langchain
[8:42] actually tuned the agent software around the
[8:45] model without retraining it. And they basically
[8:47] proved that the right engineering environment
[8:50] can compete with really expensive proprietary
[8:52] AI when it comes to doing enterprise work. So
[8:56] you can get these open source models, if you
[8:58] fine tune them, you can get them just as good
[9:00] for way cheaper than something like Anthropic
[9:02] or OpenAI. lane chain, adjusted system prompts,
[9:06] tool descriptions, and middleware. They did all
[9:08] of that to really just squeeze the top tier performance.
[9:12] Then they put it through the deep agent benchmark.
[9:15] Ambridge, Amdocs, Box, and EY are already building
[9:18] specialized agents on this exact stack for their
[9:22] platforms and their workflows. The tuned model
[9:24] is live on six hosting providers, so you can
[9:26] get it on Bastion, Crusoe Cloud, Deep Infra,
[9:29] Firework, Nebius, and together AI, which is what
[9:32] I use for AI. box. So it's, you know, pretty
[9:35] widely available. This is really exciting. And
[9:37] I believe we actually do have pneumotron over
[9:38] on AI box right now, which by the way, if you
[9:40] haven't tried AI box .ai, my own startup, we
[9:43] have over 80 different AI models all on there.
[9:46] So for $8 .99 a month, you get access to all
[9:49] of the top AI image, audio, video, and even music
[9:52] models. So if you don't want to have to have
[9:54] subscriptions to all of these different things
[9:55] and have, you know, logins on a ton of different
[9:57] platforms, just go to one place, AI box .ai.
[10:00] We even have an MCP that will tie all of those
[10:02] models. into things like clod so if you want
[10:04] to get like image and audio and video inside
[10:06] of clod you can use our mcp $8 .99 a month i'll
[10:09] leave a link in the description to that as well
[10:11] Meta just added a tamper -proof LED to their
[10:14] AI glasses, and it disables the camera if the
[10:16] light is modified or destroyed. So the idea being,
[10:20] you know, you want to know when someone's recording
[10:22] you with the Meta Ray -Bans or any of these other
[10:24] Meta AI smart glasses. A lot of people have been
[10:26] complaining about, you know, non -consensual
[10:28] recording. People are recording them when they
[10:30] don't know or they don't consent. People are
[10:31] in the gym recording, whatever. And so they've
[10:34] added a light, which I think a lot of devices
[10:36] have, like a light that pops on when it's recording
[10:38] so you know someone's recording. Theoretically,
[10:40] someone could go with like a pin and just like,
[10:42] you know, kind of shatter the LED bulb or wreck
[10:45] it, right? So it doesn't turn on or cover it
[10:47] or do something. So they're making it so that
[10:49] you can't tamper with it. If it's broken, it
[10:51] won't actually record. And this is, I mean, I
[10:54] think a lot of people are really excited about
[10:55] that. But this is also happening the same week
[10:57] that Meta is expanding the data collection elsewhere.
[11:00] So they're going to be allowing their AI to train
[11:02] on public Instagram photos by default. And they're
[11:05] testing glasses that continuously collect audio
[11:08] and they snap photos. every few seconds, which
[11:10] come on, that's terrifying. But I mean, maybe
[11:14] like they're milled in a product that they think
[11:16] some people will like that. I really doubt that.
[11:18] But this particular prototype that is under testing
[11:20] is going to move the glasses from being an on
[11:23] -demand camera, right? So you're like, hey, Meta,
[11:25] record whatever I'm doing. And it turns on to
[11:26] actually just being always on and having an always
[11:28] -on sensor. And it's feeding continuous audio
[11:30] and periodic photos to Meta's AI systems. They
[11:34] don't have a date launch for this. I hope there'll
[11:36] be a way to opt out. Otherwise, I don't imagine
[11:38] these glasses will continue to be very popular.
[11:41] For the Instagram thing, this is a change that
[11:43] will affect... about a billion that, you know,
[11:45] billions of photos for users. Most like everyone
[11:48] posting is not wanting their photos to be trained,
[11:51] like AI to be trained on them. So that's going
[11:53] to be kind of crazy. OpenAI's chief futurist,
[11:56] Joshua Achim, is leaving after about nine years.
[12:00] He's one of the safety advocates that's been
[12:03] at the company the longest since the early days.
[12:05] He is leaving, and he's the fifth senior safety
[12:08] -focused leader to leave OpenAI in the last two
[12:11] years, right? They're getting ready to go public.
[12:13] He actually joined as an intern back in 2017,
[12:15] and then he led their mission alignment team
[12:17] until it was disabled, or I guess like disbanded.
[12:21] Sam Altman got rid of it back in February of...
[12:24] this year. Then he moved into chief futurist
[12:27] role and was kind of studying AI harms and benefits.
[12:30] Five different safety -adjacent leaders have
[12:32] now left OpenAI since 2024, and a lot of them
[12:36] have started non -profits focused on AI safety
[12:38] standards. The former White House AI advisor
[12:40] Dean Ball started this week as the head of strategic
[12:44] futures and is going to briefly overlap with
[12:46] Etcham before he actually leaves and will kind
[12:49] of take over a lot of policy -focused research
[12:50] work without having a direct replacement for
[12:53] the chief futurist title. So if you believe you'd
[12:56] be perfect for that job, maybe you should send
[12:57] in your application to OpenAI. Guys, thank you
[13:00] so much for tuning into the podcast today. Make
[13:01] sure to check out AIbox .ai. Links in the description.
[13:04] If you have not already left a review for the
[13:06] show, it would mean the world to me. It helps
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[13:16] you more incredible content. Over on Spotify,
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