It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a $50 billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)
Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”
It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a $50 billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)
Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”
.
#Coatue #plan #buy #land #data #centers #possibly #Anthropic #TechCrunchAnthropic,coatue,data centers,In Brief">Coatue has a plan to buy up land for data centers, possibly for Anthropic | TechCrunch
Coatue, one of the biggest names in venture capital and hedge funds, has a new plan to generate bigger returns on AI beyond its sizable stakes in Anthropic, OpenAI, xAI, and data center companies like Singapore’s DayOne and CoreWeave.
It has launched a venture called Next Frontier to buy up land near large power sources with the goal of turning those parcels into data centers, the Wall Street Journal reports. Sources tell the WSJ that Next Frontier has already signed a joint venture with Fluidstack, a cloud infrastructure startup that penned a $50 billion deal to build data centers for Anthropic. (Coatue did not respond to a request for comment.)
Although the U.S. already has 3,000 data centers, more than 1,500 new ones are in various stages of being built, according to Pew Research, most of them in rural areas. The frenzy is enticing land speculation and data center financing projects from lots of players, ranging from Blackstone to Kevin O’Leary from “Shark Tank.”
Altman said in a post on X on Thursday that OpenAI will begin rolling out GPT-5.5 Cyber “to critical cyber defenders” in the next few days. OpenAI has an application on its website where people submit information about their credentials and planned use in order to gain access.
Cyber can perform such tasks as penetration testing, vulnerability identification (and exploitation), and malware reverse engineering, the application implies. It’s intended to be a toolkit to help a company find security holes and test defenses. The fear is that the kit could be misused by the bad guys.
OpenAI says it’s working to make Cyber more widely available by consulting with the U.S. government and identifying more users with legit cybersecurity credentials.
Altman said in a post on X on Thursday that OpenAI will begin rolling out GPT-5.5 Cyber “to critical cyber defenders” in the next few days. OpenAI has an application on its website where people submit information about their credentials and planned use in order to gain access.
Cyber can perform such tasks as penetration testing, vulnerability identification (and exploitation), and malware reverse engineering, the application implies. It’s intended to be a toolkit to help a company find security holes and test defenses. The fear is that the kit could be misused by the bad guys.
OpenAI says it’s working to make Cyber more widely available by consulting with the U.S. government and identifying more users with legit cybersecurity credentials.
#dissing #Anthropic #limiting #Mythos #OpenAI #restricts #access #Cyber #TechCrunchAnthropic,cyber,Mythos,OpenAI">After dissing Anthropic for limiting Mythos, OpenAI restricts access to Cyber, too | TechCrunch
After Sam Altman trash-talked Anthropic for gatekeeping its cybersecurity tool Mythos by only releasing it to select users, he confirmed that OpenAI would be doing the same with its competing tool, Cyber.
Altman said in a post on X on Thursday that OpenAI will begin rolling out GPT-5.5 Cyber “to critical cyber defenders” in the next few days. OpenAI has an application on its website where people submit information about their credentials and planned use in order to gain access.
Cyber can perform such tasks as penetration testing, vulnerability identification (and exploitation), and malware reverse engineering, the application implies. It’s intended to be a toolkit to help a company find security holes and test defenses. The fear is that the kit could be misused by the bad guys.
OpenAI says it’s working to make Cyber more widely available by consulting with the U.S. government and identifying more users with legit cybersecurity credentials.
The company admitted this test — which it called Project Deal — was only “a pilot experiment with a self-selected participant pool” of 69 Anthropic employees who were given a budget of $100 (paid out via gift cards) to buy stuff from their coworkers.
Nonetheless, Anthropic said it was “struck by how well Project Deal worked,” with 186 deals made, totaling more than $4,000 in value.
The company said it actually ran four separate marketplaces with different models — one that was “real” (where everyone was represented by the company’s most-advanced model, and with deals actually honored after the experiment) and another three for study.
Apparently, when users are represented by more advanced models, they get “objectively better outcomes,” Anthropic said. But users didn’t seem to notice the disparity, raising the possibility of “‘agent quality’ gaps” where “people on the losing end might not realize they’re worse off.”
Also, the initial instructions given to the agents didn’t appear to affect sale likelihood or the negotiated prices.
The company admitted this test — which it called Project Deal — was only “a pilot experiment with a self-selected participant pool” of 69 Anthropic employees who were given a budget of $100 (paid out via gift cards) to buy stuff from their coworkers.
Nonetheless, Anthropic said it was “struck by how well Project Deal worked,” with 186 deals made, totaling more than $4,000 in value.
The company said it actually ran four separate marketplaces with different models — one that was “real” (where everyone was represented by the company’s most-advanced model, and with deals actually honored after the experiment) and another three for study.
Apparently, when users are represented by more advanced models, they get “objectively better outcomes,” Anthropic said. But users didn’t seem to notice the disparity, raising the possibility of “‘agent quality’ gaps” where “people on the losing end might not realize they’re worse off.”
Also, the initial instructions given to the agents didn’t appear to affect sale likelihood or the negotiated prices.
#Anthropic #created #test #marketplace #agentonagent #commerce #TechCrunchAnthropic,project deal">Anthropic created a test marketplace for agent-on-agent commerce | TechCrunch
In a recent experiment, Anthropic created a classified marketplace where AI agents represented both buyers and sellers, striking real deals for real goods and real money.
The company admitted this test — which it called Project Deal — was only “a pilot experiment with a self-selected participant pool” of 69 Anthropic employees who were given a budget of $100 (paid out via gift cards) to buy stuff from their coworkers.
Nonetheless, Anthropic said it was “struck by how well Project Deal worked,” with 186 deals made, totaling more than $4,000 in value.
The company said it actually ran four separate marketplaces with different models — one that was “real” (where everyone was represented by the company’s most-advanced model, and with deals actually honored after the experiment) and another three for study.
Apparently, when users are represented by more advanced models, they get “objectively better outcomes,” Anthropic said. But users didn’t seem to notice the disparity, raising the possibility of “‘agent quality’ gaps” where “people on the losing end might not realize they’re worse off.”
Also, the initial instructions given to the agents didn’t appear to affect sale likelihood or the negotiated prices.
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is trying to solve right now.”
First, with the team behind personal finance startup Hiro, the company may be hoping to come up with a product that has “more hooks than just a chatbot, and maybe something worth paying more for.” And with new media startup TBPN, OpenAI could be looking to “better shape its image in the public eye, which lately has not been great.”
Read a preview of our conversation, edited for length and clarity below.
Anthony: [We have] two deals that are worth mentioning, one is that OpenAI acquired this personal finance startup called Hiro. And that comes after another deal that was literally announced when we were recording our last episode of Equity, so we didn’t get to talk about it: OpenAI had also acquired TBPN — a business talk show, like a new media company.
And I think both of these deals are pretty small compared to the scale of OpenAI. These are not things that people expect to really change the course of their business or anything like that, but they’re interesting because it suggests that there’s still this [attitude of,] “Let’s try out different things.”
Especially [with] the TBPN deal […] particularly at this time when it feels like OpenAI, from all the reporting we’re reading, is also trying to really refocus on making ChatGPT and its GPT models really competitive in an enterprise context with programmers.
Techcrunch event
San Francisco, CA|October 13-15, 2026
Is running a tech talk show, should that really be on the to-do list?
Kirsten: No, this should not be on the to-do list. That’s it.
I do want to mention Hiro because to me, that’s an interesting one, because Julie Bort, our venture editor, super talented, she wrote about this and was I think the first to write about it. She dug in a little bit and basically this looks like an acqui-hire. The company is folding. They basically said, “By this date, you won’t be able to access this anymore.”
This is a personal finance startup. And they only launched two years ago. So this absolutely is about getting talent on board. So I’m very curious to see if OpenAI is going to be just absorbing them into the ether at OpenAI, or if they’re actually interested in some sort of personal finance product that they want to work on. To me, it’s not really clear.
Sean: I think you look at both of these as acqui-hires to a certain extent. I mean, the TBPN acquisition, allegedly they are going to retain their editorial independence on the show that they make every day. And all respect to those guys who’ve put that out there and gotten it off the ground so quickly and grown it into what it has become.
I think any person who follows the media should have a healthy dose of skepticism that when you acquire something like that and you put the people who make the show under the org of the public policy people and comms or marketing adjacent people higher up at the company making the acquisition, that you could have good questions about whether or not saying “editorial independence” is enough. It’s not an incantation that just works.
But you know, what’s interesting to me about these two, while they are similar in their acqui-hire-ness, I think they both represent two major problems that OpenAI is facing.
One is Hiro. OpenAI has a very successful product in ChatGPT. As far as whether or not that will actually ever make them enough money to become a sustainable business that’s not raising the largest private rounds in the world, ever, to keep things going, is a big question. And they also seem to be struggling to keep up on the enterprise side of things where the real money seems to be, so bringing in a team like this seems like taking a shot at, “What else can we do?”
The guy who founded Hiro seems to have a serial entrepreneur streak of creating consumer apps, and so this seems to me like a bet on them being able to come up with something else that may have more hooks than just a chatbot, and maybe something worth paying more for.
And then TBPN is an acquisition made to help better represent what the company does and better shape its image in the public eye, which lately has not been great and certainly is under more questions now than just a few weeks ago, because Ronan Farrow just led a report at The New Yorker that dropped suspiciously right around the time that this and a couple other announcements from OpenAI came out last week.
I think those are two big existential problems that OpenAI is trying to solve right now.
Kirsten: So the thing that you didn’t say is, there’s Anthropic kind of looming in — not in the shadows, I mean, they’re very much taking up a lot of space here — but they’re having a lot of success on the enterprise side of things.
It feels like these guys are competitors and they also feel like very different companies in a lot of ways. Anthony, I’m wondering if you see them as direct competition to OpenAI? Or [are they] just finding their stride in enterprise and in a way, these two companies are clearly going to coexist and they’re really not directly competing with each other — maybe on talent, but not necessarily as we initially thought of them?
Anthony: I think they’re directly competing with each other. There’s definitely a scenario where if AI as an industry, as a technology, is as successful as its proponents hope for, they could both be very successful companies, they could just be the one and two. And the success of one does not necessarily mean that the other will just fade into obscurity.
And again, none of this is official, but there’s just been a lot of reporting around how it seems like OpenAI, more than anyone, is obsessed with and upset about Anthropic’s rise.
Our reporter Lucas [Ropek], he did a great piece over the weekend about the HumanX conference, where he was talking to everyone there and they’re sort of like, “Yeah, ChatGPT is fine, too,” but like they were all about Claude Code. And I think that is exactly what OpenAI is worried about.
Because again, in theory, there could be many other opportunities for generative AI, but it feels like the big growth area, the area where the most money is and where they could at least see a path to having a sustainable business in the future, is in these enterprise and coding tools.
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is trying to solve right now.”
First, with the team behind personal finance startup Hiro, the company may be hoping to come up with a product that has “more hooks than just a chatbot, and maybe something worth paying more for.” And with new media startup TBPN, OpenAI could be looking to “better shape its image in the public eye, which lately has not been great.”
Read a preview of our conversation, edited for length and clarity below.
Anthony: [We have] two deals that are worth mentioning, one is that OpenAI acquired this personal finance startup called Hiro. And that comes after another deal that was literally announced when we were recording our last episode of Equity, so we didn’t get to talk about it: OpenAI had also acquired TBPN — a business talk show, like a new media company.
And I think both of these deals are pretty small compared to the scale of OpenAI. These are not things that people expect to really change the course of their business or anything like that, but they’re interesting because it suggests that there’s still this [attitude of,] “Let’s try out different things.”
Especially [with] the TBPN deal […] particularly at this time when it feels like OpenAI, from all the reporting we’re reading, is also trying to really refocus on making ChatGPT and its GPT models really competitive in an enterprise context with programmers.
Techcrunch event
San Francisco, CA|October 13-15, 2026
Is running a tech talk show, should that really be on the to-do list?
Kirsten: No, this should not be on the to-do list. That’s it.
I do want to mention Hiro because to me, that’s an interesting one, because Julie Bort, our venture editor, super talented, she wrote about this and was I think the first to write about it. She dug in a little bit and basically this looks like an acqui-hire. The company is folding. They basically said, “By this date, you won’t be able to access this anymore.”
This is a personal finance startup. And they only launched two years ago. So this absolutely is about getting talent on board. So I’m very curious to see if OpenAI is going to be just absorbing them into the ether at OpenAI, or if they’re actually interested in some sort of personal finance product that they want to work on. To me, it’s not really clear.
Sean: I think you look at both of these as acqui-hires to a certain extent. I mean, the TBPN acquisition, allegedly they are going to retain their editorial independence on the show that they make every day. And all respect to those guys who’ve put that out there and gotten it off the ground so quickly and grown it into what it has become.
I think any person who follows the media should have a healthy dose of skepticism that when you acquire something like that and you put the people who make the show under the org of the public policy people and comms or marketing adjacent people higher up at the company making the acquisition, that you could have good questions about whether or not saying “editorial independence” is enough. It’s not an incantation that just works.
But you know, what’s interesting to me about these two, while they are similar in their acqui-hire-ness, I think they both represent two major problems that OpenAI is facing.
One is Hiro. OpenAI has a very successful product in ChatGPT. As far as whether or not that will actually ever make them enough money to become a sustainable business that’s not raising the largest private rounds in the world, ever, to keep things going, is a big question. And they also seem to be struggling to keep up on the enterprise side of things where the real money seems to be, so bringing in a team like this seems like taking a shot at, “What else can we do?”
The guy who founded Hiro seems to have a serial entrepreneur streak of creating consumer apps, and so this seems to me like a bet on them being able to come up with something else that may have more hooks than just a chatbot, and maybe something worth paying more for.
And then TBPN is an acquisition made to help better represent what the company does and better shape its image in the public eye, which lately has not been great and certainly is under more questions now than just a few weeks ago, because Ronan Farrow just led a report at The New Yorker that dropped suspiciously right around the time that this and a couple other announcements from OpenAI came out last week.
I think those are two big existential problems that OpenAI is trying to solve right now.
Kirsten: So the thing that you didn’t say is, there’s Anthropic kind of looming in — not in the shadows, I mean, they’re very much taking up a lot of space here — but they’re having a lot of success on the enterprise side of things.
It feels like these guys are competitors and they also feel like very different companies in a lot of ways. Anthony, I’m wondering if you see them as direct competition to OpenAI? Or [are they] just finding their stride in enterprise and in a way, these two companies are clearly going to coexist and they’re really not directly competing with each other — maybe on talent, but not necessarily as we initially thought of them?
Anthony: I think they’re directly competing with each other. There’s definitely a scenario where if AI as an industry, as a technology, is as successful as its proponents hope for, they could both be very successful companies, they could just be the one and two. And the success of one does not necessarily mean that the other will just fade into obscurity.
And again, none of this is official, but there’s just been a lot of reporting around how it seems like OpenAI, more than anyone, is obsessed with and upset about Anthropic’s rise.
Our reporter Lucas [Ropek], he did a great piece over the weekend about the HumanX conference, where he was talking to everyone there and they’re sort of like, “Yeah, ChatGPT is fine, too,” but like they were all about Claude Code. And I think that is exactly what OpenAI is worried about.
Because again, in theory, there could be many other opportunities for generative AI, but it feels like the big growth area, the area where the most money is and where they could at least see a path to having a sustainable business in the future, is in these enterprise and coding tools.
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is trying to solve right now.”
First, with the team behind personal finance startup Hiro, the company may be hoping to come up with a product that has “more hooks than just a chatbot, and maybe something worth paying more for.” And with new media startup TBPN, OpenAI could be looking to “better shape its image in the public eye, which lately has not been great.”
Read a preview of our conversation, edited for length and clarity below.
Anthony: [We have] two deals that are worth mentioning, one is that OpenAI acquired this personal finance startup called Hiro. And that comes after another deal that was literally announced when we were recording our last episode of Equity, so we didn’t get to talk about it: OpenAI had also acquired TBPN — a business talk show, like a new media company.
And I think both of these deals are pretty small compared to the scale of OpenAI. These are not things that people expect to really change the course of their business or anything like that, but they’re interesting because it suggests that there’s still this [attitude of,] “Let’s try out different things.”
Especially [with] the TBPN deal […] particularly at this time when it feels like OpenAI, from all the reporting we’re reading, is also trying to really refocus on making ChatGPT and its GPT models really competitive in an enterprise context with programmers.
Techcrunch event
San Francisco, CA|October 13-15, 2026
Is running a tech talk show, should that really be on the to-do list?
Kirsten: No, this should not be on the to-do list. That’s it.
I do want to mention Hiro because to me, that’s an interesting one, because Julie Bort, our venture editor, super talented, she wrote about this and was I think the first to write about it. She dug in a little bit and basically this looks like an acqui-hire. The company is folding. They basically said, “By this date, you won’t be able to access this anymore.”
This is a personal finance startup. And they only launched two years ago. So this absolutely is about getting talent on board. So I’m very curious to see if OpenAI is going to be just absorbing them into the ether at OpenAI, or if they’re actually interested in some sort of personal finance product that they want to work on. To me, it’s not really clear.
Sean: I think you look at both of these as acqui-hires to a certain extent. I mean, the TBPN acquisition, allegedly they are going to retain their editorial independence on the show that they make every day. And all respect to those guys who’ve put that out there and gotten it off the ground so quickly and grown it into what it has become.
I think any person who follows the media should have a healthy dose of skepticism that when you acquire something like that and you put the people who make the show under the org of the public policy people and comms or marketing adjacent people higher up at the company making the acquisition, that you could have good questions about whether or not saying “editorial independence” is enough. It’s not an incantation that just works.
But you know, what’s interesting to me about these two, while they are similar in their acqui-hire-ness, I think they both represent two major problems that OpenAI is facing.
One is Hiro. OpenAI has a very successful product in ChatGPT. As far as whether or not that will actually ever make them enough money to become a sustainable business that’s not raising the largest private rounds in the world, ever, to keep things going, is a big question. And they also seem to be struggling to keep up on the enterprise side of things where the real money seems to be, so bringing in a team like this seems like taking a shot at, “What else can we do?”
The guy who founded Hiro seems to have a serial entrepreneur streak of creating consumer apps, and so this seems to me like a bet on them being able to come up with something else that may have more hooks than just a chatbot, and maybe something worth paying more for.
And then TBPN is an acquisition made to help better represent what the company does and better shape its image in the public eye, which lately has not been great and certainly is under more questions now than just a few weeks ago, because Ronan Farrow just led a report at The New Yorker that dropped suspiciously right around the time that this and a couple other announcements from OpenAI came out last week.
I think those are two big existential problems that OpenAI is trying to solve right now.
Kirsten: So the thing that you didn’t say is, there’s Anthropic kind of looming in — not in the shadows, I mean, they’re very much taking up a lot of space here — but they’re having a lot of success on the enterprise side of things.
It feels like these guys are competitors and they also feel like very different companies in a lot of ways. Anthony, I’m wondering if you see them as direct competition to OpenAI? Or [are they] just finding their stride in enterprise and in a way, these two companies are clearly going to coexist and they’re really not directly competing with each other — maybe on talent, but not necessarily as we initially thought of them?
Anthony: I think they’re directly competing with each other. There’s definitely a scenario where if AI as an industry, as a technology, is as successful as its proponents hope for, they could both be very successful companies, they could just be the one and two. And the success of one does not necessarily mean that the other will just fade into obscurity.
And again, none of this is official, but there’s just been a lot of reporting around how it seems like OpenAI, more than anyone, is obsessed with and upset about Anthropic’s rise.
Our reporter Lucas [Ropek], he did a great piece over the weekend about the HumanX conference, where he was talking to everyone there and they’re sort of like, “Yeah, ChatGPT is fine, too,” but like they were all about Claude Code. And I think that is exactly what OpenAI is worried about.
Because again, in theory, there could be many other opportunities for generative AI, but it feels like the big growth area, the area where the most money is and where they could at least see a path to having a sustainable business in the future, is in these enterprise and coding tools.
Indeed, while JPMorgan Chase was the only bank listed as one of the initial partner organizations with access to the model, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly testing Mythos as well.
Anthropic announced the model this week but said it would be limiting access for now, in part because Mythos — despite not being trained specifically for cybersecurity — is too good at finding security vulnerabilities. (Others suggested this was hype or simply a smart enterprise sales strategy.)
Indeed, while JPMorgan Chase was the only bank listed as one of the initial partner organizations with access to the model, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly testing Mythos as well.
Anthropic announced the model this week but said it would be limiting access for now, in part because Mythos — despite not being trained specifically for cybersecurity — is too good at finding security vulnerabilities. (Others suggested this was hype or simply a smart enterprise sales strategy.)
Meanwhile, the Financial Times reports that U.K. financial regulators are also discussing the risk posed by Mythos.
#Trump #officials #encouraging #banks #test #Anthropics #Mythos #model #TechCrunchAnthropic,jerome powell,Scott Bessent">Trump officials may be encouraging banks to test Anthropic’s Mythos model | TechCrunch
Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell summoned bank executives for a meeting this week where they encouraged the executives to use Anthropic’s new Mythos model to detect vulnerabilities, according to Bloomberg.
Indeed, while JPMorgan Chase was the only bank listed as one of the initial partner organizations with access to the model, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly testing Mythos as well.
Anthropic announced the model this week but said it would be limiting access for now, in part because Mythos — despite not being trained specifically for cybersecurity — is too good at finding security vulnerabilities. (Others suggested this was hype or simply a smart enterprise sales strategy.)
![OpenAI’s existential questions | TechCrunch
OpenAI has been all over the news recently, whether that news is about acquisitions, competition with Anthropic, or bigger debates about AI’s impact on society.
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is trying to solve right now.”
First, with the team behind personal finance startup Hiro, the company may be hoping to come up with a product that has “more hooks than just a chatbot, and maybe something worth paying more for.” And with new media startup TBPN, OpenAI could be looking to “better shape its image in the public eye, which lately has not been great.”
Read a preview of our conversation, edited for length and clarity below.
Anthony: [We have] two deals that are worth mentioning, one is that OpenAI acquired this personal finance startup called Hiro. And that comes after another deal that was literally announced when we were recording our last episode of Equity, so we didn’t get to talk about it: OpenAI had also acquired TBPN — a business talk show, like a new media company.
And I think both of these deals are pretty small compared to the scale of OpenAI. These are not things that people expect to really change the course of their business or anything like that, but they’re interesting because it suggests that there’s still this [attitude of,] “Let’s try out different things.”
Especially [with] the TBPN deal […] particularly at this time when it feels like OpenAI, from all the reporting we’re reading, is also trying to really refocus on making ChatGPT and its GPT models really competitive in an enterprise context with programmers.
Techcrunch event
San Francisco, CA
|
October 13-15, 2026
Is running a tech talk show, should that really be on the to-do list?
Kirsten: No, this should not be on the to-do list. That’s it.
I do want to mention Hiro because to me, that’s an interesting one, because Julie Bort, our venture editor, super talented, she wrote about this and was I think the first to write about it. She dug in a little bit and basically this looks like an acqui-hire. The company is folding. They basically said, “By this date, you won’t be able to access this anymore.”
This is a personal finance startup. And they only launched two years ago. So this absolutely is about getting talent on board. So I’m very curious to see if OpenAI is going to be just absorbing them into the ether at OpenAI, or if they’re actually interested in some sort of personal finance product that they want to work on. To me, it’s not really clear.
Sean: I think you look at both of these as acqui-hires to a certain extent. I mean, the TBPN acquisition, allegedly they are going to retain their editorial independence on the show that they make every day. And all respect to those guys who’ve put that out there and gotten it off the ground so quickly and grown it into what it has become.
I think any person who follows the media should have a healthy dose of skepticism that when you acquire something like that and you put the people who make the show under the org of the public policy people and comms or marketing adjacent people higher up at the company making the acquisition, that you could have good questions about whether or not saying “editorial independence” is enough. It’s not an incantation that just works.
But you know, what’s interesting to me about these two, while they are similar in their acqui-hire-ness, I think they both represent two major problems that OpenAI is facing.
One is Hiro. OpenAI has a very successful product in ChatGPT. As far as whether or not that will actually ever make them enough money to become a sustainable business that’s not raising the largest private rounds in the world, ever, to keep things going, is a big question. And they also seem to be struggling to keep up on the enterprise side of things where the real money seems to be, so bringing in a team like this seems like taking a shot at, “What else can we do?”
The guy who founded Hiro seems to have a serial entrepreneur streak of creating consumer apps, and so this seems to me like a bet on them being able to come up with something else that may have more hooks than just a chatbot, and maybe something worth paying more for.
And then TBPN is an acquisition made to help better represent what the company does and better shape its image in the public eye, which lately has not been great and certainly is under more questions now than just a few weeks ago, because Ronan Farrow just led a report at The New Yorker that dropped suspiciously right around the time that this and a couple other announcements from OpenAI came out last week.
I think those are two big existential problems that OpenAI is trying to solve right now.
Kirsten: So the thing that you didn’t say is, there’s Anthropic kind of looming in — not in the shadows, I mean, they’re very much taking up a lot of space here — but they’re having a lot of success on the enterprise side of things.
It feels like these guys are competitors and they also feel like very different companies in a lot of ways. Anthony, I’m wondering if you see them as direct competition to OpenAI? Or [are they] just finding their stride in enterprise and in a way, these two companies are clearly going to coexist and they’re really not directly competing with each other — maybe on talent, but not necessarily as we initially thought of them?
Anthony: I think they’re directly competing with each other. There’s definitely a scenario where if AI as an industry, as a technology, is as successful as its proponents hope for, they could both be very successful companies, they could just be the one and two. And the success of one does not necessarily mean that the other will just fade into obscurity.
And again, none of this is official, but there’s just been a lot of reporting around how it seems like OpenAI, more than anyone, is obsessed with and upset about Anthropic’s rise.
Our reporter Lucas [Ropek], he did a great piece over the weekend about the HumanX conference, where he was talking to everyone there and they’re sort of like, “Yeah, ChatGPT is fine, too,” but like they were all about Claude Code. And I think that is exactly what OpenAI is worried about.
Because again, in theory, there could be many other opportunities for generative AI, but it feels like the big growth area, the area where the most money is and where they could at least see a path to having a sustainable business in the future, is in these enterprise and coding tools.
#OpenAIs #existential #questions #TechCrunchAnthropic,Equity podcast,OpenAI](https://i2.wp.com/techcrunch.com/wp-content/uploads/2026/03/GettyImages-2266645295.jpg?w=1024&ssl=1 "OpenAI’s existential questions | TechCrunch
OpenAI has been all over the news recently, whether that news is about acquisitions, competition with Anthropic, or bigger debates about AI’s impact on society.
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I did our best to round up all the latest OpenAI news. While the company’s latest acquisitions seem to be classic acqui-hires, Sean suggested they also address “two big existential problems that OpenAI is trying to solve right now.”
First, with the team behind personal finance startup Hiro, the company may be hoping to come up with a product that has “more hooks than just a chatbot, and maybe something worth paying more for.” And with new media startup TBPN, OpenAI could be looking to “better shape its image in the public eye, which lately has not been great.”
Read a preview of our conversation, edited for length and clarity below.
Anthony: [We have] two deals that are worth mentioning, one is that OpenAI acquired this personal finance startup called Hiro. And that comes after another deal that was literally announced when we were recording our last episode of Equity, so we didn’t get to talk about it: OpenAI had also acquired TBPN — a business talk show, like a new media company.
And I think both of these deals are pretty small compared to the scale of OpenAI. These are not things that people expect to really change the course of their business or anything like that, but they’re interesting because it suggests that there’s still this [attitude of,] “Let’s try out different things.”
Especially [with] the TBPN deal […] particularly at this time when it feels like OpenAI, from all the reporting we’re reading, is also trying to really refocus on making ChatGPT and its GPT models really competitive in an enterprise context with programmers.
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Is running a tech talk show, should that really be on the to-do list?
Kirsten: No, this should not be on the to-do list. That’s it.
I do want to mention Hiro because to me, that’s an interesting one, because Julie Bort, our venture editor, super talented, she wrote about this and was I think the first to write about it. She dug in a little bit and basically this looks like an acqui-hire. The company is folding. They basically said, “By this date, you won’t be able to access this anymore.”
This is a personal finance startup. And they only launched two years ago. So this absolutely is about getting talent on board. So I’m very curious to see if OpenAI is going to be just absorbing them into the ether at OpenAI, or if they’re actually interested in some sort of personal finance product that they want to work on. To me, it’s not really clear.
Sean: I think you look at both of these as acqui-hires to a certain extent. I mean, the TBPN acquisition, allegedly they are going to retain their editorial independence on the show that they make every day. And all respect to those guys who’ve put that out there and gotten it off the ground so quickly and grown it into what it has become.
I think any person who follows the media should have a healthy dose of skepticism that when you acquire something like that and you put the people who make the show under the org of the public policy people and comms or marketing adjacent people higher up at the company making the acquisition, that you could have good questions about whether or not saying “editorial independence” is enough. It’s not an incantation that just works.
But you know, what’s interesting to me about these two, while they are similar in their acqui-hire-ness, I think they both represent two major problems that OpenAI is facing.
One is Hiro. OpenAI has a very successful product in ChatGPT. As far as whether or not that will actually ever make them enough money to become a sustainable business that’s not raising the largest private rounds in the world, ever, to keep things going, is a big question. And they also seem to be struggling to keep up on the enterprise side of things where the real money seems to be, so bringing in a team like this seems like taking a shot at, “What else can we do?”
The guy who founded Hiro seems to have a serial entrepreneur streak of creating consumer apps, and so this seems to me like a bet on them being able to come up with something else that may have more hooks than just a chatbot, and maybe something worth paying more for.
And then TBPN is an acquisition made to help better represent what the company does and better shape its image in the public eye, which lately has not been great and certainly is under more questions now than just a few weeks ago, because Ronan Farrow just led a report at The New Yorker that dropped suspiciously right around the time that this and a couple other announcements from OpenAI came out last week.
I think those are two big existential problems that OpenAI is trying to solve right now.
Kirsten: So the thing that you didn’t say is, there’s Anthropic kind of looming in — not in the shadows, I mean, they’re very much taking up a lot of space here — but they’re having a lot of success on the enterprise side of things.
It feels like these guys are competitors and they also feel like very different companies in a lot of ways. Anthony, I’m wondering if you see them as direct competition to OpenAI? Or [are they] just finding their stride in enterprise and in a way, these two companies are clearly going to coexist and they’re really not directly competing with each other — maybe on talent, but not necessarily as we initially thought of them?
Anthony: I think they’re directly competing with each other. There’s definitely a scenario where if AI as an industry, as a technology, is as successful as its proponents hope for, they could both be very successful companies, they could just be the one and two. And the success of one does not necessarily mean that the other will just fade into obscurity.
And again, none of this is official, but there’s just been a lot of reporting around how it seems like OpenAI, more than anyone, is obsessed with and upset about Anthropic’s rise.
Our reporter Lucas [Ropek], he did a great piece over the weekend about the HumanX conference, where he was talking to everyone there and they’re sort of like, “Yeah, ChatGPT is fine, too,” but like they were all about Claude Code. And I think that is exactly what OpenAI is worried about.
Because again, in theory, there could be many other opportunities for generative AI, but it feels like the big growth area, the area where the most money is and where they could at least see a path to having a sustainable business in the future, is in these enterprise and coding tools.
#OpenAIs #existential #questions #TechCrunchAnthropic,Equity podcast,OpenAI")
.jpg?ssl=1 "Anthropic Says That Claude Contains Its Own Kind of Emotions")
