# Midjourney Pivots to Body Scanning AI Hardware, AWS Comes for Nvidia

An episode of [AI Chat: AI News on Claude, ChatGPT, Gemini, Grok, Perplexity](https://invisiblenetwork.ai/podcast/1669990482), 19 Jun 2026, 14 min.

Audio: https://content.rss.com/episodes/365073/2928946/ai-chat-podcast/2026_06_19_18_58_08_7ec1fb94-fdee-45e2-ae90-112358f8c51d.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 Midjourney's surprising pivot to hardware with their full-body ultrasound scanner, a game-changer in preventative healthcare. Additionally, we explore Anthropic's federal ban turning into a marketing narrative, the drama surrounding Amazon's film 'Artificial', and the competitive landscape of AI chips involving AWS, NVIDIA, and Intel. Chapters 00:00 Introduction 00:00 Midjourney's Ultrasound Pivot 00:25 Anthropic's Federal Ban 00:44 Amazon's Film 'Artificial' 00:49 AWS and Tranium Chips 11:32 Intel's Stock Surge Show Links • Get the top 80+ AI Models for $8.99 with the AI Box MCP: https://aibox.ai/mcp • 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
[0:11] business. Welcome to the podcast today. MidJourney
[0:17] is pivoting to hardware. They've created a full
[0:20] -body ultrasound scanner. This is one of the
[0:22] biggest AI pivots I think I have seen since the
[0:25] start of the AI wave. I'm excited to get into
[0:26] that. Anthropix Federal Ban is becoming a bit
[0:30] of a marketing asset for it. Maybe this isn't
[0:31] such a bad thing. At the same time, Amazon's
[0:34] MGM, they are dropping Luca Guardino's Sam Altman
[0:38] film called Artificial. We're going to tell you
[0:40] a little bit about the drama behind why that's
[0:42] happening. in talks right now to sell their Tranium
[0:47] chips to outside buyers. So before it was kind
[0:49] of just inside of AWS. Now they're going to be
[0:51] selling them to outside buyers. This is directly
[0:53] competing with NVIDIA. Intel, another person
[0:56] in the chip space, has jumped 9%. Their stock
[0:59] is up after Trump announced that Apple had a
[1:02] chip design deal with them. We're going to get
[1:04] into all of the details with that. If you want
[1:06] to empower Claude to generate images, audio,
[1:09] and video, I'd love for you to try my platform
[1:12] out, which is AIbox .ai. We have a new MCP. So
[1:16] you grab a little link from us. Once you create
[1:17] an account, you give it to Claude in the connector
[1:20] section. You log into AI Box. And after that,
[1:23] any tool that you build over on AI Box, whether
[1:25] that's an image generator, an audio generator,
[1:27] a video generator, you can call it inside of
[1:30] Claude. So you can say, hey, Claude, use AI Box
[1:32] to generate an image of XYZ thing. It's going
[1:35] to go find the correct box that you've created,
[1:37] the correct tool you've created. And it's going
[1:39] to actually use Claude to generate. to go use
[1:41] that and generate images. You get the link will
[1:43] pop up right inside of your Claude chat to the
[1:46] image that was generated. You can go download
[1:47] that and use it in any project, or you can tell
[1:49] Claude to go and just do whatever you need it
[1:51] to do. So it's completely hands -free. This is
[1:54] something that has helped me a ton. If you've
[1:56] been using Claude lately, you know that it's
[1:59] incredibly capable. It can control your computer
[2:00] screen. It can do anything, but it cannot generate
[2:02] images, audio, and video like other competitors
[2:06] can. So it's not just those three capabilities.
[2:08] You also get access to over 80 different AI models.
[2:11] And you can use that same MCP inside of chat
[2:13] GPT. You can use it inside of Gemini, all of
[2:15] the different models and agents that you use.
[2:18] You can port this full library of AI models into
[2:21] them with the AI box MCP. So it's $7 and or $8
[2:25] and 99 cents a month. There's a link in the description.
[2:28] You can go check that out. If you want AI box
[2:30] dot AI slash MCP, I would love for you to try
[2:33] it. I hope this unlocks a ton of incredible creativity
[2:35] for you. Let's continue with the episode. So
[2:37] let's kick it off with mid journey. They have
[2:38] launched their very first hardware product. This
[2:41] is something I wasn't expecting when I opened
[2:42] up Twitter yesterday or X yesterday. It is a
[2:44] full body ultrasound scanner. It's going to capture
[2:47] detailed images in 60 seconds. So it's using
[2:51] 40 semiconductor transducers and two petaflops
[2:55] of compute. The company is planning to open a
[2:58] spa in San Francisco's Union Square that is going
[3:00] to have 100 scanners is all going to be next
[3:03] year, 2027. And they are positioning this as
[3:05] preventative health tool that could rival MRI.
[3:08] quality without radiation or hospital logistics.
[3:12] Okay, this is just like coming from the company
[3:13] that was previously doing AI generated images.
[3:16] Absolutely not something I was expecting. But
[3:17] if you go look up like pictures of this thing,
[3:19] it's incredible. There's all these tiny microscopic
[3:21] speakers basically that are blasting little sounds
[3:24] at you. In order to get this full body scan,
[3:27] you actually have to go into a vat of water.
[3:28] So you walk into a vat of water, you're surrounded
[3:31] by all these tiny little speakers that are blasting
[3:33] at you, and it can get every single nanoparticle
[3:35] of your whole body scanned. And it's pretty impressive
[3:39] because it's not just externally, it's internally.
[3:41] So it's able to scan your lungs, all of your
[3:43] organs. It's really, really incredible. And you
[3:47] can do the whole thing in 60 seconds. So if you've
[3:49] done an MRI scan before, you know you're super
[3:52] claustrophobic. You can't move. You're in this
[3:53] giant tube. You have to wear a lead vest for
[3:57] radiation. This is very cool. So the way this
[4:00] whole thing works is that AI is going to handle
[4:03] the 3D reconstruction of muscle, fat, bone, and
[4:06] organs. You know, it's going to be fed back all
[4:09] of these basically like bat echolocation sonar
[4:13] sound bounce detection that it's done. And then
[4:16] the AI is going to put that back together and
[4:18] decode this into a way that shows a full 3D reconstruction
[4:20] of your whole body. A dozen people have been
[4:23] scanned so far. Midjourney hasn't published any
[4:25] kind of comparative imaging data against MRI
[4:27] baselines. And the company is actually not going
[4:30] to go do FDA diagnostic clearance. They're actually
[4:33] going to start with body composition maps. This
[4:36] is a much lower regulatory category. Um, they're
[4:39] also kind of floating the idea of a new FDA device
[4:41] class for consumer health tracking. Um, so it's
[4:44] not like something that's like, Hey, go, go in
[4:46] this thing. It's going to diagnose. If you have
[4:47] any issues, they're more like, Hey, this is for
[4:48] preventative. This is for giving you information.
[4:51] It's kind of just like a body tracker just because
[4:54] FDA takes so long, but this is really incredible.
[4:57] Basically the journey is betting that this kind
[4:59] of real time full body imaging is going to become
[5:01] in a consumer wellness staple rather than a clinical
[5:04] tool. So the way that they're thinking about
[5:06] this is that gym memberships, are gonna be able
[5:09] to put this in, spas, et cetera. And their goal
[5:11] is to build 50 ,000 of these that they put around
[5:13] the world. And because you can do the whole scan
[5:14] in 60 seconds instead of hours in the MRI scan,
[5:17] their goal is that the whole world could be able
[5:20] to get full body, high quality. scans, internal,
[5:24] external, in 60 seconds with just 50 ,000 of
[5:27] these. So very cool, very bullish, you know,
[5:29] huge congratulations to the whole team over at
[5:31] MidJourney for doing something so focused on
[5:33] health that is so productive to humanity beyond
[5:36] just generating AI images, which is what they're
[5:38] famous for. Okay, let's talk about Anthropix
[5:40] Federal Ban. Some people are saying this is becoming
[5:42] a bit of a marketing asset because the US government
[5:44] forced them to pull their newest model, Fable
[5:46] 5 and Mythos 5 last week. And this is all after
[5:49] Amazon researchers found that there was some
[5:51] jailbreak. vulnerabilities and apparently uh
[5:54] anthropic said hey look why do we have to fix
[5:57] these jail breaks because you can do the same
[5:58] jail breaks on uh chat gbt 5 .5 so it you know
[6:02] they're like why are you targeting us and there
[6:03] was kind of this whole back and forth and the
[6:04] government's like well there's a jail break and
[6:06] you said this was super dangerous so we got to
[6:08] pull it Now, some people think this is really
[7:01] bad for Anthropic, but over at TechCrunch, the
[7:03] hosts of their equity podcast said that this
[7:06] incident has positioned Anthropic at the center
[7:09] of AI policy. And this debate that is happening
[7:11] this week was done without the company spending
[7:13] any marketing dollars. They're saying, look,
[7:15] it's actually making Anthropic look like they're
[7:18] fighting the government. And beyond that, it
[7:21] shows them as number one, a strong company. But
[7:22] if they're getting kind of signaled out by the
[7:25] government for what could be an industry -wide
[7:27] problem. that might actually strengthen their
[7:29] pre -IPO narrative because investors are saying,
[7:31] look, there's something different about Anthropic.
[7:32] They're stronger or they're better and they're
[7:35] being targeted because their AI models are so
[7:36] much better than ChatGPT and anyone else's. So
[7:39] we'll see how the chips fall with that, if it's
[7:42] actually benefiting their company or not. Okay.
[7:45] Amazon's MGM is dropping the new Sam Altman film
[7:48] Artificial. This was created by Luca Guadino,
[7:53] and the film is basically dramatizing Sam Altman's
[7:55] five -day firing and reinstatement as opening
[7:58] ice CEO. This all happened back in like November
[8:00] 2023. I know it seems like a million years ago,
[8:02] but it wasn't that long ago. They made a whole
[8:05] movie about it. But Amazon doesn't want to distribute
[8:07] it anymore. And so they're actually shopping
[8:09] for new distributors. This is coming just a few
[8:11] weeks after Amazon announced a $50 billion investment
[8:14] in OpenAI, which is kind of a weird. between
[8:18] the studio's parent company and also depicting
[8:21] OpenAI's internal crisis. So it's almost like,
[8:23] look, they're putting $50 billion into OpenAI.
[8:26] Maybe they don't want to be the people that distribute
[8:28] a video that might not put Sam Altman in the
[8:31] best light. So that's going to be interesting
[8:33] to see who else picks that up. I think we all
[8:35] want to see the film. Come on, we all have to
[8:36] live through the drama of him getting fired and
[8:38] wondering what was going to happen. We all want
[8:39] to see the movie, whether it's good or not. I
[8:41] love these types of movies. I love the one they
[8:43] made about Uber. I love the one they made about
[8:45] BlackBerry. I love all of these kind of like
[8:48] Silicon Valley insider movies. I know they're
[8:50] not all perfect. The We Crashed one was phenomenal.
[8:53] Highly recommend it. Apparently, Andrew Garfield
[8:56] is playing Altman. The thing that I'm happy about
[8:58] is that the film is far enough along that they're
[9:00] just shopping, sending this to a different distributor,
[9:02] and they're not canceling it out altogether.
[9:04] It's basically near finished of a product. So
[9:08] I think they just have some editing and stuff,
[9:09] but I think it's mostly all been filmed and shot,
[9:11] which I'm excited to see what it actually looks
[9:14] like. Okay, AWS is in open talks, more Amazon
[9:18] -ish news, to sell Tranium chips outside of just
[9:22] being built inside of AWS. So they're actually
[9:24] going and targeting outside buyers. This is something
[9:26] that in... NVIDIA is probably feeling particularly
[9:28] threatened by. The AWS CEO, Andy Jassy, he pegged
[9:32] the chips business at about $50 billion annual
[9:35] run rate, which is enough to rival Intel's revenue
[9:38] and create the first credible alternative to
[9:40] NVIDIA for AI training silicon. I mean, that's
[9:43] pretty wild for them to be like, hey, look, we
[9:44] have this new chip. We've been using it internally.
[9:46] And we think this thing is worth, you know, the
[9:48] entire company of Intel. Tranium 4 capability
[9:52] is already completely sold out, which is more
[9:55] than a year before. this chip is actually shipping
[9:57] and they've completely sold it out a year ahead
[9:59] of time. That I think has forced Amazon to choose
[10:01] between serving AWS customers or external buyers.
[10:04] Amazon is going to need to secure basically additional
[10:07] capacity from TSMC, which is currently dominated
[10:10] by NVIDIA orders and has become Apple's replacement
[10:12] at the foundry's largest customer. NVIDIA is
[10:15] simultaneously expanding into a 200 billion CPU
[10:19] for AI market, which is pushing into Intel and
[10:22] AMD territory. So it's kind of interesting because
[10:24] we have Amazon. moving into NVIDIA's territory.
[10:26] We have NVIDIA moving into Intel and AMD's territory.
[10:29] The reason why I think this matters and why it's
[10:31] particularly interesting to me is because right
[10:34] now we have kind of this hyperscaler supply crunch.
[10:37] And in a way, it's actually forcing Amazon's
[10:39] hand because if they sell their Tranium externally,
[10:42] it's going to sacrifice this kind of a bundled
[10:45] cloud revenue that Amazon makes when it owns
[10:47] the full stack. So they have this kind of bundled
[10:50] revenue when they're selling it inside of AWS.
[10:53] But... for every single chip that they sell or
[10:57] every single chip that they ship, it's a five
[10:59] -year revenue stream loss, right? Because if
[11:01] they'd taken this Tranium, they put it in their
[11:02] own data center, and then they sold it to people,
[11:04] they would be able to keep using that chip for
[11:07] five years and selling it. It's usage to people,
[11:09] kind of renting it out, right? Instead, if they
[11:11] go and sell that chip to someone, it's a one
[11:13] -off deal. But right now, the reason that Amazon
[11:16] is doing this is because if they don't sell it
[11:19] one -off when there's this massive demand, they're
[11:21] basically leaving billions of dollars on the
[11:23] table. there's certain customers that are not
[11:25] going to rent servers from Amazon. They're going
[11:27] to go buy them. They're going to try to get them
[11:29] from Nvidia. Um, but they're going to try to
[11:31] purchase them for themselves one way or another.
[11:32] So Amazon's like, look. Let's try to make some
[11:34] money here. They're kind of trying to bet that
[11:37] this is a good NVIDIA alternative that people
[11:40] are going to be interested because this is backed
[11:42] by a $50 billion business. And I think right
[11:44] now that is, you know, meaning a lot more to
[11:46] them than kind of the short -term cloud business
[11:48] bundle losses that they might be missing out
[11:50] on. Okay, into more chip news. Intel's stock
[11:53] has jumped 9 % after Trump announced an Apple
[11:56] chips design deal that's going to be happening.
[11:59] This, you know, bumped them up in pre -market
[12:01] trading. The move, I think, shows that there
[12:03] is a major shift in semiconductor manufacturing,
[12:06] pulling Apple away from Taiwan and marking Intel's
[12:10] biggest foundry win since their CEO, the new
[12:12] one, Litbu Tan, refocused the company on some
[12:15] outside partnerships. So their stock has gained
[12:18] 464 % over the last 12 months. If you guys remember,
[12:21] Intel stock has been sliding for many, many years.
[12:24] This is lifting their market cap. to $608 billion,
[12:28] a bid, a much broader 90 % year -to -date rally
[12:32] in the semiconductor sector. Elon Musk's TeraFab,
[12:35] also described as basically the world's largest
[12:37] chip factory, is being designed with Intel's
[12:39] technology team, which is the first major outside
[12:42] foundry commitment for Intel's capital, very
[12:44] capital -intensive manufacturing business. And
[12:47] Apple currently designs all of its own M -series
[12:49] and A -series chips, and they have a fabrication
[12:50] unit. And all of that is done in Taiwan, which
[12:54] means that any meaningful volume shift to Intel
[12:57] is going to be the company's most significant
[12:58] outsourced order to date. The reason why I think
[13:01] this is a big deal is because Intel has gone
[13:03] from manufacturing and they've kind of been,
[13:05] they're turning into sort of a geopolitical asset
[13:07] in the last 12 months. The Apple deal, if it
[13:09] includes real volume, is going to validate what
[13:11] the CEO has been betting on, that U .S. founder
[13:14] capacity. which is, of course, backed by government
[13:16] capital and a lot of President, you know, President
[13:19] Trump's attention. They're saying that this can
[13:21] compete with Taiwan. And so I think if we kind
[13:23] of watch whether this is going to open up the
[13:25] floodgates for other design wins or if this is
[13:28] going to kind of be like a one off political
[13:29] kind of like moment where Trump just want to
[13:31] make a big announcement. And so we kind of got
[13:33] this deal put together. I think that's remaining
[13:34] to be seen. But overall, I'm excited to see this
[13:37] American company succeed, moving some manufacturing
[13:40] to the United States. And I think this is great
[13:42] for diversifying our supply chain overall. We'll
[13:44] see what happens there. Thank you so much for
[13:46] tuning into the podcast. If you enjoyed this
[13:47] episode, make sure to leave a rating and review
[13:49] wherever you get your podcasts. And I hope you
[13:51] have a fantastic rest of your day. I will leave
[13:54] a link in the description to AIbox .ai if you
[13:57] want to add image, audio, and video models all
[14:00] into Cloud, Gemini, and ChatGPT, all with the
[14:03] AIbox MCP. There's a link in the description.
[14:05] I would love to have you try it out and hope
[14:07] that unlocks a lot of capabilities for you for
[14:09] only $8 .99 a month. All right, catch you all
[14:11] in the next episode.

Shows are listed from Apple Podcasts' charts and directory, and Podcast Index where it is used. Every show and episode belongs to its publisher and plays from the publisher's own feed; this site hosts none of them.