In short
This episode covers major tech business and AI developments. Topic 1: Amazon CEO Andy Jassy allegedly “sounded the alarm” to Trump officials about jailbreaks for Anthropic’s Claude 3.5 “Fable 5” and “Mythos 5.” After new export restrictions, Anthropic disabled access to those models for everyone because it can’t reliably verify who is a foreign national; the reported trigger was an Amazon-identified jailbreak bypassing cybersecurity guardrails.
Key claims
Anthropic may restore access after concessions (stronger guardrails, limited rollout, or other terms), and the pressure could also affect the OpenAI model race (GPT 5.6 expected). Topic 2: Meta is shifting from “token maximizing” to “token minimizing” via an internal AI Gateway that tracks token usage/spend, sets budgets, and alerts on spikes; it also plans to rely more on in-house tools like MetaCode. Topic 3: Microsoft/Xbox: CEO Asha Sharma plans layoffs and cost cuts but increased spending on major franchises (Halo, Fallout, Elder Scrolls) and is considering restructuring Xbox (subsidiary or spin-out/sale). Topic 4: Guests: Hydrahost CEO Aaron Ginn discusses a $100M round at $800M valuation and its GPU “neocloud” IaaS software layer for data centers, NVIDIA-focused procurement, and GPU upgrade cycles (e.g., Vera Rubin). Abridge CEO Dr. Shiv Rao discusses NVIDIA work on a clinical-conversation model, using distillation/fine-tuning and evals, emphasizing real-time latency, privacy/compliance harnesses, and clinical decision support.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOAnthropic's Fable 5 and Andy Jassy's Alarm
1:48 to 3:37
Discussion on Anthropic's Fable 5 model and its repercussions after Trump's export restrictions.
“The Trump administration issued new export restrictions on the model.”
Details of Jassy's Conversation with Trump Administration
3:37 to 6:57
Exploration of the specifics regarding Andy Jassy's communication with government officials about security concerns.
“So it is, you know, there are definitely different details floating around about the conversations.”
Anthropic's Future and Potential Concessions
6:57 to 7:57
Speculation on how Anthropic might navigate its challenges with the Trump administration moving forward.
“Another thing that's been floating around a lot is this idea that the Trump administration is looking to take stakes actually in, you know, the biggest AI labs like OpenAI and Anthropic.”
The AI Race: Anthropic vs OpenAI
7:57 to 9:29
Analysis of the competitive landscape between Anthropic and OpenAI in AI model development.
“Can you just remind us about where its model development efforts are at?”
Meta's Shift from Token Maximizing to Minimizing
9:29 to 10:34
Discussion on Meta's internal AI cost management strategy and efficiency measures.
“And I'm just thinking now, we of course know that Anthropic has a stake, a big stake in OpenAI as well.”
Meta's Internal AI Usage and Future Strategy
10:34 to 13:52
Examination of Meta's plan to control AI token usage internally amidst rising costs.
“I want to bring on Jyoti to share with us more about what we know.”
Meta's Shift from Token Maximizing to Minimizing
14:03 to 16:26
Learn about Meta's transition from maximizing AI token usage to minimizing it for greater efficiency.
“But do we have any idea why token maxing at Meta turned so quickly into what you call the story as this notion of token minimizing?”
Microsoft's Strategic Overhaul of Xbox
16:26 to 23:30
Explore Microsoft's plans for Xbox, including layoffs, restructuring, and game development focus.
“Well, Jyoti, I want to thank you for coming on.”
Hydrahost's Growth and Market Strategy
23:30 to 28:00
Understand how Hydrahost is positioning itself in the GPU hosting market and its relationship with data centers.
“GPU hosting company Hydrahost raised$100 million at a$800 million valuation.”
Data Center Strategies and Market Insights
28:00 to 31:20
Explore the dynamics of data centers and the impact of GPU technology on workloads.
“they're generally a defensive mode strategy.”
Show all 13 chapters
Abridge's Collaboration with NVIDIA
31:20 to 33:10
Learn about Abridge's new model with NVIDIA and its implications for healthcare AI.
“Healthcare AI company Abridge announced last week it is working with NVIDIA on a new model focused on clinical conversations.”
Expanding Abridge's Product Suite
33:10 to 42:01
Discover how Abridge is evolving its offerings to enhance clinical workflows.
“Really, our core thesis is that in the next five, ten years, we're not going to be able to fully automate what a doctor or a nurse does.”
Discussion on Clinical Trials and Patient Care
42:01 to 42:38
Learn how patient discussions can inform clinical trial eligibility and treatment adjustments.
“It can help me understand, hey, based on what he just said, you know, he might be a candidate for a clinical trial.”
Transcript
Automatic transcript. May contain errors.0:13Stephanie Palazzolo:Welcome everyone to the information's TI TV. My name is Akash Pasricha. It is Monday, June 15th. We are here in our New York studio where we are celebrating the New York Knicks championship. This morning we are also watching a couple of big deals. Fox is acquiring Roku for$22 billion. It is yet another media consolidation move. The$160 share price is the highest that Roku would be trading since the pandemic era. And in other deal news, Salesforce is buying AI customer service firm Finn for$3.6 billion. We'll talk about that shortly with our AI reporter. On today's show, Amazon CEO Andy Jassy has sounded the alarm over Anthropic and Fable 5.
1:01Stephanie Palazzolo:That is according to exclusive reporting from the information we are going to bring on. Stephanie Palazzolo, author of AI Agenda, in just a second to break that down for us. We'll also talk about our Meta news, that Meta is considering a move here to curb AI usage among employees. We've also got our Microsoft reporter joining us shortly to discuss his scoop that the company has been thinking about spinning out Xbox. And I'm going to close out the show with two founders coming on. We've got GPU infrastructure company Hydrohost coming on to talk about their funding round. And we will talk with Abridge co-founder and CEO Dr.
1:39Stephanie Palazzolo:Shiv Rao about his new play with NVIDIA. It's going to be a fun show, so let's get right on into it. Fable 5 had quite the U-turn after its impressive release. The Trump administration issued new export restrictions on the model. Anthropic, as a result, disabled the model entirely. My colleagues over the weekend caught wind of the behind-the-scenes discussions that led to that decision. And I want to bring on Stephanie Palazzolo to share with us what she found out. Steph, welcome back to the show. It's great to have you here. Thanks. Great to be here. Okay, so Fable 5 comes out. Everyone is trumpeting about how good it is.
2:17Stephanie Palazzolo:And we caught wind of a discussion that Andy Jassy may have had with folks in the government. What did we find? Yeah. So as you mentioned, this weekend was a bit of a crazy one for Anthropic. Essentially, you know, on Friday, the Trump administration said that the company would have to cut off access to Claude Fable 5 and Mythos 5, which are Anthropic's two most advanced models to foreign nationals. And then in response, Anthropic basically shut down access to the models for everyone because it's very hard for the company to tell who is and is in a foreign national accessing the models, not to mention that there are a ton of those within the company itself actually working on the models.
3:04So as some of my colleagues and I reported over the weekend, And a lot of this stemmed actually initially from a conversation that Amazon CEO Andy Jassy had with senior Trump officials, Trump administration officials, where he essentially kind of flagged some jailbreaks and other security-related concerns that he had to the officials from the government, which then kind of snowballed into what we saw on Friday with, you know, Anthropik at the end of the day having to cut off access to everyone.
3:36Stephanie Palazzolo:And so do we know any more details about this conversation between Andy Jassy and the Trump administration, or is the extent of what we know just that it happened? So it is, you know, there are definitely different details floating around about the conversations. Essentially, what we have gathered from ours and other outlet stories is it seems like Andy was basically flagging a jailbreak that Amazon researchers had found. And what a jailbreak is, is essentially a way for a user of a model to kind of bypass the guardrails on the model. So in this case, CloudFable 5 has guardrails that prevent users from asking cybersecurity-related questions, since that's an area that the model is especially good in.
4:22And Anthropic was worried that users would use this model to come up with different ways to hack websites and software floating out there. And so it sounds like basically Amazon found a jailbreak that worked to get around those guardrails and kind of flagged this to Trump administration officials. Now, it's not really clear kind of how much Andy Jassy expected this to escalate. It's totally possible that he was just kind of flagging this as like something to look out for and had no idea that it was going to reach the point that it did where, you know, now you see Anthropik basically cutting off access to these models for everyone.
5:02Stephanie Palazzolo:And I mean, it is kind of an interesting dynamic here because Amazon, of course, is a big investor in Anthropic. And so, I mean, I guess on the one hand, you know, flagging the fact that the model can be jailbroken, you know, AWS certainly has obligations to its customers here to make sure that everything is as secure as possible. On the flip side, I doubt, I wonder what that discussion between Dario and Andy Jassy was like, because, I mean, all weekend long I was on Claude and, you know, you had that bar saying Fable 5 is unavailable right now. And, you know, I guess you could click more, click learn more to see what it is.
5:46Stephanie Palazzolo:But I guess what I'm sort of thinking about here is how you think this plays out. I mean, we know that this call happened. Do you think maybe? Dario convinces Andy to make another phone call to the Trump administration saying it's actually fine. What do you think? Yeah, it's a really tough, you know, a really tough situation for Anthropic to be in. And, you know, just taking a step back, this isn't the first time that Anthropic has clashed with the Trump administration. Obviously, we've been reporting on this for months, but there's been a lot of kind of issues between Anthropic and the government, you know, I mean, all the way back to earlier this year when it was fighting against the Pentagon for the Claude models to be used in, you know, these cases where, you know, they were arguing basically about when Claude could and couldn't be used.
6:35And so in terms of what happens next, it's not really clear, you know, right now, Anthropic has sent some of its leaders to D.C. to discuss all this with the Trump administration. And so in my opinion, I do feel like there, I think it's pretty likely that we're going to see Claude Fable 5 come back in the next week or so. But obviously, I think Anthropic is going to have to make some concessions here to, you know, sweeten the deal for the Trump administration. And whether that is, you know, maybe upping the guardrails on Fable 5, maybe, you know, even most drastic case scenario, like maybe rolling back the public rollout a bit and still keeping it to a pretty small group of testers.
7:20Another thing that's been floating around a lot is this idea that the Trump administration is looking to take stakes actually in, you know, the biggest AI labs like OpenAI and Anthropic. So maybe this could be kind of a negotiating tactic that the Trump administration is using to try to get a stake in Anthropic as one of the most highly valued AI startups out there today. So it really has yet to be seen, but I think just giving the amount of pressure from customers, from investors on Anthropic, I think they're going to have to find a way out of this in the next couple of days or weeks.
7:57Stephanie Palazzolo:I want to bring this back for a moment here to the race between Anthropic and OpenAI, because last week I believe you had reported that while Fable 5 was certainly making inroads with customers and it had a pretty positive reception, you had reported that OpenAI has also been working on its own latest suite of models. Can you just remind us about where its model development efforts are at? Yeah. So as I had reported last week around the time that Fable 5 came out, OpenAI is obviously not just sitting around on its hands. It is working on developing its next generation of models. And some early testers told me that they were actually very impressed by the next models that OpenAI is working on.
8:44The next one will be GPT 5.6 most likely. And so in terms of what this means for the broader race, this is obviously going to handicap Anthropic for a little bit. But I think OpenAI is probably a bit worried about this too, right? Because if they want to come out with a fable or mythos level model, which of course they're going to need to do to stay up in the AI race, there is very much this risk that the Trump administration is going to do the same thing to OpenAI and also tell it to cut off access to its most advanced models. And so, you know, I think OpenAI is definitely keeping an eye out on this to see how the talks go with Anthropic.
9:21Although, to be fair, I think historically OpenAI has had a better relationship with the Trump administration than Anthropic has.
9:28Stephanie Palazzolo:Right. And I'm just thinking now, we of course know that Anthropic has a stake, a big stake in OpenAI as well. So I think, you know, people just need to – if Dario and Sam Altman are annoyed with the calls that Andy Jassy is making to the Trump administration, then I think they better have a good handle on his calendar because – Yeah, I would love to be a fly on the wall after our story broke and, you know, overhear the conversation between Dario and Andy because I'm sure Dario is not very happy. Well, and all I mean to say is, you know, if OpenAI comes out with a more powerful model, which poses similar concerns, maybe it can be jailbroken in similar ways, right?
10:12Stephanie Palazzolo:I mean, I can imagine Andy Jassy would have a perhaps maybe a more cautious conversation this time, but a similar conversation with the government. Anyway, it is all a fast moving story. And I want to thank you for coming on and helping us make sense of it. That is Stephanie Palazzolo, author of our AI Agenda newsletter here at The Information. Token maxing had its moment, but a new exclusive report from The Information's Meta reporter, Jyoti Mann, reveals the company has essentially gone the opposite direction now with its AI guidance for employees. I want to bring on Jyoti to share with us more about what we know.
10:49Stephanie Palazzolo:Jyoti, welcome back to the show. It's great to have you here. Thanks for having me. Tell me about this internal memo that you got a hold of that ran at Meta. Sure. So this internal meta memo, which we reviewed, shows that it's spending billions on internal use of AI. And now it wants to rein in the costs by setting up an efficiency program. Now, over the past year, the company has been encouraging employees to adopt AI heavily by using it for coding, research, or everyday work tasks. But the memo shows that it's now moving towards a more structured system for tracking and managing those costs.
11:24So this is really meta trying to place financial controls around internal AI tools after seeing just how quickly usage has exploded.
11:33Stephanie Palazzolo:And so what is that structured plan here? How do they plan to clamp down on token usage? Well, it's building an internal platform called AI Gateway, which will track AI usage and spending in real time. So different orgs or teams will be able to see how many tokens they're consuming, what they're spending, and eventually they'll operate under budgets and allocation systems. so that could see the company place limits on how many AI tokens employees can use or how much they're able to spend. And part of that plan actually involves trying to introduce alerts for unusual spending spikes and other better forecasting tools.
12:12Stephanie Palazzolo:And one of the other things I found interesting about your story is that it sounds like they're actually encouraging people to use their own AI tools more than external AI tools so that they can have more control or visibility, I guess, over the usage. Am I understanding that correctly? Absolutely. So part of this plan involves migrating and transitioning towards some of its in-house tools, like Metacode, for example, which is a coding tool. So they want to kind of reduce their reliance on outside providers, and being able to transition towards in-house tools will hopefully help them bring down some of those costs.
12:48Stephanie Palazzolo:That's kind of an interesting decision, though, because if MetaCode was so good, then I imagine it would be a product that Meta would try to sell externally. So I guess if we operate on the assumption, and again, I've never used it. I never coded a thing in my life. So I don't know if we could say that MetaCode is not as good as ClaudeCode. But if it was that good, I imagine they would try to sell it. And so it's sort of like telling your employees, hey, we understand this might make you less productive, but we can't really afford for you to use the latest and greatest. That's sort of the awkward calculus here.
13:26Absolutely. And that's why we're seeing the newly formed applied AI engineering org has been tasked with trying to improve meta code so that they can rely on it more internally. But I think what makes this memo so interesting is that it highlights a problem that not just meta is dealing with, a lot of companies are starting to face where AI has been adopted so heavily internally that the bill is becoming enormous. And now it comes down to trying to reduce those costs.
13:52Stephanie Palazzolo:Now, Jyoti, Meta is not exactly hurting for cash, although we do know that its CapEx bills are extraordinary. So I think efficiency is a smart play here. But do we have any idea why token maxing at Meta turned so quickly into what you call the story as this notion of token minimizing? I mean, was it really just senior leaders seeing the bills? or why did things change so quickly? I think in part, it could be the wasteful use of AI tokens. So back when token maxim was happening, there was a lot of encouragement from senior leaders at the company to embrace AI more. And some employees were kind of turning that into the internal competition to climb a leaderboard that was around at the time to show that they were a power user.
14:41And that inevitably drove up usage of AI tokens. But now they're kind of shifting their focus and saying the conversation's more about not use more AI, but use it more meaningfully so that it improves outcomes. So that's a transition that we're beginning to see across the broader industry as well.
15:00Stephanie Palazzolo:How have employees been reacting to this new paradigm with token minimizing? Yeah, I mean, well, it's not come as a surprise to some of the employees I've spoken to. They saw this as sort of inevitable, given that some staffers were using tokens in a wasteful way. So they see this move as quite sensible as they recognize that unlimited consumption is never going to be sustainable at this scale. But for some employees who have embraced AI heavily and are doing so in a meaningful way, there could be some frustration around tighter controls. And do you think that this could curb the progress at all that Meta has been making on its own models, its own products?
15:40Stephanie Palazzolo:And this kind of goes back to the earlier question we were talking about. I mean, do you think... Meta ultimately needs to, I mean, it needs to get a better model out there. It needs to get better products out there. Could this hamper that? Well, if Meta was simply becoming more disciplined about how employees use AI tools day to day, this probably isn't gonna hurt development very much. It's probably just gonna improve efficiency. The bigger risk would be if these cross controls extend to researchers and engineers who are using it for AI model development, where they might not be able to experience experiment as freely or lose access to the compute resources they need.
16:16But I suspect that these budgets won't be placed on those critical areas and there will still be enough compute for priority areas like AI model development. Great.
16:26Stephanie Palazzolo:Well, Jyoti, I want to thank you for coming on. That is Jyoti Mann, our meta reporter here at The Information. Microsoft is considering some major changes to its Xbox division. Our Microsoft reporter Aaron Holmes scooped some of its behind-the-scenes discussions late last week. I want to bring on Aaron to share with us more what he knows. Aaron, welcome back to the show. It's great to have you here. Happy to be here. What did you find out with respect to Microsoft and Xbox? So Xbox CEO Asha Sharma is planning a pretty major overhaul of the entire gaming unit. Specifically, we know that layoffs are coming and that she's planning to cut costs.
17:03But I also learned that Sharma wants to increase spending on game development in the coming year, potentially spending even more next year than Xbox spent in the past year. And specifically, she wants to speed up some of the new games that might be coming from franchises like Halo and Fallout and Elder Scrolls. Some of those haven't had a new game in more than a decade. At the same time, you know, I've heard that as Sharma sort of plots this major overhaul of Xbox, Microsoft has considered potentially restructuring Xbox's relationship to Microsoft to either make it a subsidiary or potentially spin it out entirely and possibly make it easier for Xbox to be sold to another company.
17:50I don't think there's any imminent plans for that, but I'm told that all of those options are on the table.
17:56Stephanie Palazzolo:Do you think this is more of a Microsoft-driven idea or an Xbox-driven idea, I wonder? You know, I think it's a mix of both. One thing that we've seen is that Xbox has much lower margins than the rest of Microsoft's business. Part of that is because they have this entire, you know, hardware business that's extremely low margin. they've also had a hard time selling consoles in recent years and those sales have been declining and costs have been rising significantly both in hardware but also you know just in the cost of all of the people that they employ and it's kind of becoming a problem in the eyes of some Microsoft shareholders so there is definitely an argument to be made that spinning out Xbox or selling it or you know just taking it off the balance sheet would make Microsoft a more kind of attractive stock for investors and shareholders.
18:51But at the same time, I'm told that, you know, CEO Satya Nadella very much believes in Asha Sharma's vision and really wants Xbox to succeed and, you know, potentially sees this restructuring as one way to make Xbox even more successful than it is as part of Microsoft.
19:08Stephanie Palazzolo:Now, you talked about the margins earlier. Is Xbox right now as is? Is Is it a profitable enterprise? Does Microsoft provide any additional funding or does it have a development budget at all that Asha Sharma and company can make use of? So Xbox is technically just a division of Microsoft, meaning we don't actually know exactly what its P &L looks like, that the company doesn't clarify that in their earnings. And it's possible that some parts of the business are being subsidized by other parts of Microsoft. Microsoft. What we do know is that Sharma actually said to staff in an email last week, which she then made public, she published the email.
19:52She said that they have accountability margins of 3%. And that's an internal metric that is, you know, roughly similar to EBITDA. So that, you know, suggests that 3%.
20:03Stephanie Palazzolo:That's it. That's, that's like nothing. I mean, like, right. Razor thin. Yeah. They're making money, but barely any. and tell me is this like the game the gaming sector at large i mean is is xbox kind of an anomaly here or has gaming broadly speaking kind of been been through the ringer as well in terms of business performance yeah i mean the the general sort of benchmark according to analysts uh for you know gross margins in the gaming industry is like roughly 15 percent um which is still you know much lower than you know typical software margins but at the same time it looks like potentially xbox is even lower than that right now um and and i think that's part of what sharma wants to fix is you know a cutting costs on things that don't seem likely to drive a lot of revenue and be spending in areas where you know they have these game franchises that are already known and beloved by fans and and trying to invest more in putting out new games from those franchises that are almost guaranteed to drive a lot of sales.
21:09Stephanie Palazzolo:Right. And Aaron, I should remind folks that you had a great weekend big read a couple months ago on Asha Sharma that we will link in the show notes and that I encourage everyone to read. But just remind us from that story and from the reporting you did, the changes that you reported on with respect to the game development last week, how does that fit into Asha Sharma's broader strategy for Xbox coming into this role? You know, in a lot of ways, I think that she is kind of walking a fine line where, on the one hand, you know, when she first came into the role earlier this year, she really wanted to prove to, you know, Xbox fans and also to her own employees at Xbox that she is not just there to, you know, wind this organization down or to cut costs and improve margins.
21:57Obviously, that is something that she does need to do, but it's not her sole focus. or she really wanted to get that message across. And I think that now what she is trying to do is kind of maintain that promise that she wants to keep investing in game development and actually making more games that fans want to see. But at the same time, she does need to make it a sustainable business. And she's been signaling. And from what I learned reporting this story this past week, I think that that might look like potentially spending less money on the dozens of smaller game studios that Microsoft owns.
22:30I wouldn't be surprised if we see Microsoft start to shutter some of its smaller game studios in the coming weeks or months, while basically, you know, consolidating more money into the larger already successful franchises, you know, including many of the franchises that Microsoft has spent billions of dollars to acquire over the past few years, by the way, and basically making those more powerhouses of new content for Xbox. Right.
22:58Stephanie Palazzolo:And I think one of the most important things you mentioned that I think could sort of determine this, at least in the short term, is, as you said, Satya Nadella seems to have a lot of faith in Asha Sharma in terms of building the business, at least for a little while here. So maybe that will sort of help buy some runway here in terms of not spinning it out immediately and helping to get some of those bigger changes underway quickly. Aaron, I want to thank you for coming on. That is Aaron Holmes, our Microsoft reporter, here at The Information. GPU hosting company Hydrahost raised$100 million at a$800 million valuation.
23:41Stephanie Palazzolo:The deal was led by Kindred Ventures. Joining me now to talk about the milestone is Hydrahost co-founder and CEO Aaron Ginn. Aaron, welcome back to the show. It's great to have you here. Yeah, thanks for announcing, I guess, the largest year of the day ever, right, with$800 billion, right? I was going to say, I was like, $800 billion, I think we would have put you at the top of the show if that's true. Yeah, with Elon, right? Yeah, yeah, okay. $800 million. Look, it's not chump change, it's a big round. Congratulations. We've had you on the show a couple times before, but never actually to talk about your company.
Read the full transcript
24:16Stephanie Palazzolo:So remind us, where is the company at right now? What do you sell? And we'll talk about the direction shortly. Yeah, that's true. Yeah, we've always been talking about policy and different things happening across the world with GPUs. But so, yeah, we started the company over five years ago with the goal of providing a software for data centers so that they could serve in customers. And we thought that the rental kind of orchestration layer was going to compress and that public cloud was going to start dying as a concept of the online infrastructure changed. and we're very early in that thesis because we saw a lot of AI companies doing the same thing that crypto miners were doing which is that they're leaving the cloud to have more control of the hardware also have more control of the basically networking orchestration kind of layer because they need more performance but data centers were not prepared for that they were previously just a cog in the wheel of public cloud they were not in a position to make most of the upside in the transaction they were just a cost center And so we today are one of the largest neoclouds in the world.
25:18And what we provide purely actually is an IaaS layer, and I'm sure it's as a service layer, where we are a software company. We are actually the largest neocloud that actually is a software company. And the IronLang assets are run and owned by the data center. And they are in the position to make the majority upside because what they're going to do, they're going to build more data centers, which we all need. So we provide all the expertise and software support and customer delivery for the data center so they don't have to go build their own stack. And they just basically buy Hydra, plug it on top of their own infrastructure, and then they can go to market.
25:58Right.
25:59Stephanie Palazzolo:Can I ask you, you guys are a close partner of NVIDIA. Are you only using their chips? Are you using other companies' chips as well? So yeah, what we do is we help the data center procure. so you can think that we're a little bit like a franchise company. So I like to tell data centers we build Chick-fil-A. We don't build Taco Bells, even though Taco Bell is super OG. Even though Taco Bell is super OG, I don't eat there anymore. But in college, I definitely did multiple times a week. There's nothing wrong with eating Taco Bell today, okay? Let's keep it there. Yeah, it is. You think about it recipe-wise.
26:33It is probably the most amazing company in the world because they have the same six things that they just kind of remake over and over again. but the uh so yeah so just like how you could be a food franchise or like a hotel franchise we control all the procurement and the way we do procurement is like reflects the trend of the market uh so we do have the some of the best data in the world uh because every one of our data center locations is a independent operating data center with its own opex cost structure and so we get to reflect a lot of the true uh pricing trends around gpus uh so a lot of the the the current trends you were seeing about like basically the sold out kind of orientation we basically started increasing builds really aggressively at the end of last uh into last year because we started seeing the utilization increase um but our our gpu allocation uh across the network in terms of what we advise is reflects the market which is that jimson is there more is there more tpus
27:27Stephanie Palazzolo:coming into the conversation then or more no there's not say it again they're not no so no No, there's not. So there are like, I would say the orientation around that kind of chip is very isolated to like two customers. And it's really unclear the customer base beyond that versus the customer base for GPUs or like, let's say like associated GPUs you can buy from an OEM, you know, like Positron, like we support them. AMD, we have them in our network. But the kind of hyperscaler-focused ones, they're generally a defensive mode strategy. So it doesn't really make sense for data centers who are in the business to make returns.
28:10Why would they defend the person that took all of their lunch before? So I think the market for that product actually is quite small, even though those two customers, Anthropoc and Google, could be actually quite huge.
28:25Stephanie Palazzolo:How do you see Vera Rubin changing your business and also the makeup of the workloads in terms of how many customers will use Vera, how many are okay with Blackwell? How do you think about that? Yeah, what we tell data centers is think about GPUs like buying a car. And so I'm personally an Audi fan, so I'm a Volkswagen Group fan. So when I go get a Porsche or an Audi, I expect a different type of technology experience than when I get a Volkswagen. But it doesn't mean that the Volkswagen itself is not worthwhile. And I think for this market, I think now people understand it because of the utilization and the return profile of H100s.
29:10If you had bought H100s back during the original boom, you were literally making the best return profile probably of any GPU right now in the market. And so that's kind of the way cars work too, is that the Halo product, which is introduced and the Volkswagen is just an easy way to understand this, but it applies to all cars like Lexus and Toyota and BMW and all of its excellent, you know, X and the numbered lineup, you know, Ford, Chevy, like they all kind of do the same thing, which is the Halo product actually drives the, you know, the overall technology of the company and then it diffuses down the line.
29:42And so the bulk and the meat potatoes resides in Volkswagen, but Porsche and Audi introduced the new technology. So for the customer base it's completely different and the use cases are different, aka workloads. So when Veraruba comes out, it's just going to draw in the same people who are using GBs or a very large P300 clusters. They're going to upgrade because their use cases are different than the guy that's running the batch-differencing workloads, which is more like the Volkswagen. So the technology will continue to downstream through the stack, but the upgrade cycle is basically part of actually what customers really want.
30:15You know, people can complain about it and people, like, you know, data centers or whoever. But it's like the same thing, I think, like yourself, like your car dealership. Like that customer is just a different type of customer, like the Frontier Lab customer. Like they're always going to want it or a very large scale open source company. But the, you know, like the bulk and the meat potatoes in the market is going to be a lot of these inferencing platforms. They're going to use it, but they're mostly going to use the, you know, advanced midlife kind of card sets, very large scale clusters there.
30:45and having the ability for customers to pick and choose actually creates the ability for the midlife market to have access to the best stuff. It just can take like two or three years to go.
30:54Stephanie Palazzolo:It actually creates, because I mean, capacity is the big issue. Can you even get your hands on the chips? And so I see your point. It sort of adds liquidity to that market where you can get your hands on those chips that mean they might not be best in class, but they're powerful enough. And so they are certainly one to focus on. Aaron, I want to thank you for coming on. Congratulations on the funding round. That is Aaron Ginn, CEO and co-founder of Hydra Host here on TI TV. Healthcare AI company Abridge announced last week it is working with NVIDIA on a new model focused on clinical conversations.
31:31Stephanie Palazzolo:Abridge has been a booming name in this category, valued in a funding round last year at$5.3 billion. dollars i want to bring on a bridge co-founder and ceo dr shiv rao to tell us more about where the company is at shiv welcome to the show it's great to have you here thanks akash it's a privilege i appreciate it so walk us through what you announced last week with nvidia yeah last week we announced that we're just taking a little bit more control at the model layer so for any given number of tasks that we're solving some some tasks don't require the frontier model some absolutely do. Some make sense for us to ride that wave, but some actually make a lot more sense for us to, you know, assert all of our proprietary advantages in terms of like the edits and the adjustments and the feedback and all the context that we have access to.
32:20And so there we're going really deep on being able to do the familiar playbooks around distillation and, you know, post-training and fine-tuning to make sure that we can kind of hit it out of the park in a really differentiated way.
32:33Stephanie Palazzolo:and so remind us now the the suite of products that abridge offers i mean initially what i knew the company to be was sort of the the ambient transcription company that helps doctors turn clinical conversations into notes uh make that um uh there was there was that term for what was it the the term for the work that you did outside of the office probably like ai scribe maybe or pajama time pajama time pajama time that's what it was because i remember when we talked uh probably a year and a half ago now, it was pajama time. So it's turning that pajama time into more productive AI-driven workloads.
33:08Stephanie Palazzolo:Is it just the transcription now or the platform has expanded, right? Yeah, it's expanded a lot. Really, our core thesis is that in the next five, ten years, we're not going to be able to fully automate what a doctor or a nurse does. And if that's true, then, well, the conversation, the dialogue between them and their patient, that's actually one of the first signals in healthcare. It's upstream of so many workflows and it's computable. You can build a platform on top of it. And so where we started was being able to leverage that signal to help with notes. Now we're expanding into not just orders and codes and revenue cycle, ICD codes, diagnosis codes, but we're expanding even further than that.
33:45We're really trying to help clinicians save time, save money, and save lives. So yeah, absolutely. I'd say the industry first started off talking about this as if it was like all about the just like described functionality. and then folks realized it was more and they started to call it ambient in healthcare. And now I think in healthcare, people are just recognizing that this is the AI layer.
34:04Stephanie Palazzolo:Right. So now, so let's go back now to the workloads that you use the models for. So have you been using all of the major models from the AI labs, Anthropic, OpenAI, like you were pulling on all of them? Yes, exactly. Yeah, absolutely. Evals are the operating system for a vertical AI company like us. we're sitting across multiple systems of record. We're getting edits and adjustments every single day. We're on a run right now over the next 12 months. We should at least be touching over, you know, about 100 million encounters, but it should probably be significantly higher than that. And so the amount of edits we get are some multiple of that.
34:42And we're able to learn from all those edits. And so for certain tasks, those edits allow us to just hit it out of the park. For other tasks, we always want to be riding that frontier wave. And so evals really are the key for us. We need to understand what size brain are we going to apply to what size problem and make sure that as the ground continues to shift every week or two, that we're always shipping the best possible product.
35:08Stephanie Palazzolo:So was this a cost issue then, the decision to make your own model with NVIDIA? First of all, is this a net new model that you haven't been using before? And was it a result of costs from the model layer having gone up? or walk me through the decision? And so first principles are performance, latency. So a lot of the work that we help clinicians do needs to be real time, essentially. So I'm also a practicing cardiologist. I go in to see a patient and the technology needs to be listening actively. It needs to prepare me before I walk in the room. And then when I hit stop, I need to be able to swivel my chair and see all the artifacts that we generate right there in the records for me to trust and verify, review and, you know, edit and just as needed.
35:53And so the a lot of our issue right now, a lot of our challenge, a lot of our differentiation is being fast enough, being in workflow. And it oftentimes makes a lot of sense for those specific tasks for us to go deep and, you know, control as much as we possibly can.
36:11Stephanie Palazzolo:And what about the cost of all this? Cost is definitely like it's a thing. It's not the first principle thing for us. We are, you know, I think a little bit differentiated, different from a lot of the AI companies out there. From a P &L standpoint, it's not like the burning issue. At the same time, I think, you know, is it upside? Absolutely. There's no question about it. Anticipating, you know, tokens continuing to get more expensive over these coming, you know, months, it's awesome to know that we have full control over our P &L. right can i ask you you've clearly been watching the the model game very closely what was your reaction last week to the um drama i guess you could say around fable 5 came out it was very impressive i don't know maybe your team experimented with it all in the back end i'm sure you have researchers playing with it uh and then it gets blocked which obviously we'll see how that plays out but did you get a chance to to work with that model at all in your in your testing facilities Yeah, we did.
37:09It's interesting because, you know, every single model that comes out, you need to, as you know, you need to work with it very differently. And you need to go very deep now on figuring out how to build the harness around it to be able to get the kinds of outputs that you think they're capable of. And so it takes some time. And so thankfully, thanks to our relationships with the frontier model companies, we tend to get advanced access. And we tend to get the chance to sort of kick the tires and understand where, how we're going to be able to apply those models.
37:41Stephanie Palazzolo:And was the model, I mean, Fable 5, I mean, Mythos, do you anticipate these could have major breakthroughs for the clinical setting as well? Yeah, to an extent. I think that there are certain tasks in healthcare that these frontier models are just going to absolutely crush. There's no question about it. I think the real differentiation for vertical AI companies like ours is getting really, really deep into workflows and working with data sets that just no model has ever seen before. And a lot of times, it's not just the data, it's the business logic. And that business logic lives in someone's head in a basement in the revenue cycle department in a hospital.
38:26And so our challenge is to, when a new model comes out, is to figure out what tasks do we think we should apply it to, try to apply it, measure according to the metrics and benchmarks we think are most important, and then iterate to see if we can improve, and then figure out, does this actually work? Could this be viable in workflow? And if the answer is yes, then we're going to run as fast as we can in deploying it. If the answer is no, then we're going to just like sort of stay close and watch and see. But that's why it's so important, I think, to be able to orchestrate across any number of different models.
39:01As long as the first principle for us is shipping the best possible product, then we're going to be very agnostic. Even if we are investing heavily into our own models, it's really important that we not get too attached. You know, at the end of the day, it's really about delivering the value.
39:18Stephanie Palazzolo:And then how do you think about, given how regulated an industry healthcare is, and the opportunity to use these powerful models to facilitate healthcare, there's also the flip side to that, which is that the more powerful the models get, then, I mean, that could pose a risk, I guess, to data privacy. I mean, this is the whole issue with Mythos and Fable 5. And so I guess I wonder how you think about the trade-off here between we have the super powerful model that maybe could make pajama time even easier, right? Maybe we could treat 30 patients in a week instead of 10. There's that opportunity.
40:00Stephanie Palazzolo:But then there's the whole risk that if we use Fable 5, Mythos in a clinical setting, maybe privacy kind of goes out the window. How do you think about that trade-off? Well, I think how you wrap the model, how you constrain it is really, really key. And we get back to the harness and how we think about that in healthcare. These are regulated workflows, as you said. Data is incredibly private. Being able to check off all those compliance boxes is absolutely paramount. It's what it takes to be enterprise-grade. We have a mantra in the company. we want to save time, we want to save money, and we want to save lives.
40:40So we have certain use cases that are actually helping clinicians feel like superheroes with all the context around who this patient is so that they can ask the right questions, close all the right care gaps, and actually improve the outcome, the clinical outcome, not just the financial outcome for the patient. Those are the workflows where we need to be most careful because they have the highest stakes associated with it. If we're giving the clinician bad information based on bad context, then that's a really big problem. So, you know, back to evals, I think like that's the rigor. We need to be able to benchmark how well any of this is performing, but we're not sort of deploying models without that sort of harness around them into a health system and like holding our breath and hoping and praying it'll go well.
41:21Stephanie Palazzolo:Right. Last question for you, Shiv. So is your product now at the point where it is making recommendations for treatments to doctors as well? Yeah. Yeah, absolutely. So we We have a clinical intelligence or clinical decision support feature inside of our product. So before I walk in the room, for example, to see a patient, a bridge might help me understand, hey, you're about to see Akash. This is his medical history. You might want to ask him these three questions before you walk in. He's been calling about it. I walk in the room and I feel like a superhero. I know what questions to ask. I know how to build rapport with you very, very quickly.
41:56We sit down, we talk, no interruptions, no flashing lights, no beeping sounds. if I look down, it can give me a bit of a cue. It can help me understand, hey, based on what he just said, you know, he might be a candidate for a clinical trial. Based on what he said, maybe you want to rethink the blood pressure medication you started for him. And then when I'm done, I can go deeper and do that research to better understand if there's something I should have done, not just for your blood pressure, for any other condition that we talked about. And all of that is obviously based in the evidence and it's based in the literature.
42:28And it's all baked into the workflow. So it's very, very seamless end to end. Great.
42:33Stephanie Palazzolo:Well, Shiv, I want to thank you for coming on. That is Dr. Shiv Rao, CEO and co-founder of A Bridge here on TIATV. That does it for today's show. A reminder, we are on this stream Monday through Friday at 10 a.m. Pacific, 1 p.m. Eastern. If you can't make it then, episodes are available on theinformation.com, on our YouTube channel, or wherever you get your podcasts. Make sure to follow us on social media on X, on Instagram, on TikTok, and on LinkedIn. I'm already excited for our next show tomorrow. Have a great rest of your Monday. Bye-bye for now.
From the publisher
AI Reporter Stephanie Palazzolo talks with TITV Host Akash Pasricha about Amazon CEO Andy Jassy’s sound of the alarm about Anthropic’s most advanced models. We also talk with The Information's Jyoti Mann about Meta's employee AI usage restrictions and Aaron Holmes about Microsoft considering an Xbox spin-out. Lastly, we get into Hydra Host's $100M funding round with CEO Aaron Ginn and Abridge's new Nvidia partnership with CEO Dr. Shiv Rao.
Articles discussed on this episode:
https://www.theinformation.com/briefings/fox-buy-roku-22-billion
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Chapters:
00:00 - Introduction
01:13 - Fox Acquires Roku & Salesforce Buys Fin
03:10 - Exclusive: Why Andy Jassy Warned the Trump Administration About Anthropic
11:51 - Meta's Internal AI Cost Crackdown: The Shift to Token Minimizing
17:47 - Inside Microsoft’s Plan to Overhaul or Spin Out Xbox
24:32 - Hydra Host CEO Aaron Ginn on raising $100M at an $800M Valuation
32:47 - Abridge CEO Doctor Shiv Rao on Launching a Healthcare AI Model with Nvidia
