BONUS: Can AI Actually Be Your Therapist? We Ask the CEO Building One

15 May 2026 · 1 h 14 min · 34 chapters

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In short

This episode is a live discussion about whether AI can function as mental-health support, and what it takes to build an AI system designed for therapeutic use. Daniel Reid Kahn, co-founder and CEO of Slingshot AI, explains that his team built ASH, “the first AI app purpose-built for therapeutic support,” after concerns that general chatbots weren’t trained for therapy and could be harmful to vulnerable users.

Key claims

ASH is trained on clinically relevant therapeutic conversations; it uses multiple “guardrail” layers and escalation to resources (including suicide/self-harm support and age verification); it personalizes within users’ values; and it aims to support “working alliance” factors like empathy and collaboration. Notable examples include a domestic-abuse user crediting ASH for helping her access resources, and research claims from NYU and University of Washington that ASH users gain social connection and hope, with lower symptom degradation versus comparable groups. Daniel cites his own depression/PTSD and a home invasion as motivation.

Guests

Cory Knowles (host/editor) and Grant Harvey (writer, audio-only due to video issues) plus Daniel Reid Kahn (Slingshot AI CEO).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Understanding AI's Role in Mental Health

0:45 to 2:40

Discussion on the sensitive topic of AI chatbots in mental health support.

“If you're an AV expert, you can reach Grant at team at the Neuron Daily.”

Daniel Reid Kahn's Journey to Slingshot AI

2:40 to 5:29

Daniel shares his personal background and motivation for developing AI for mental health.

“Like what led you to say, I want to spend my career building AI for mental health?”

The Founding of Slingshot AI

5:29 to 7:59

Daniel discusses how he met his co-founder and the initial steps taken to build the AI therapy app.

“So then we understood like the barrier was just we have to build out a large scale data set.”

Identifying Market Gaps in AI Therapy

7:59 to 10:05

Exploration of the gaps in the mental health market that Slingshot AI aims to fill.

“People are always looking for the, you know, what do each of you bring to the table, and I don't honestly think of it that way.”

User Experience with the Ash App

10:05 to 12:44

Overview of the Ash app's features and how it supports users with their mental health.

“So I guess for someone who's never used Ash, what is it?”

Guardrails and Safety in AI Therapy

12:44 to 14:02

Discussing the in-built safety measures and protocols in the Ash app for user protection.

“Build small habits of reflection before things pile up.”

Introduction to AI Therapy

14:02 to 15:01

Exploration of how AI therapists handle sensitive issues and escalation pathways.

“I mean, I could try something, which is, what would be, is there a message I could ask that you think would be an interesting one to test it?”

Life-Saving Impact of AI Therapy

15:01 to 15:22

A letter from a user reveals the profound impact of AI on personal crises.

Customization and Voice Selection in AI Therapy

15:22 to 17:24

Discussion on the importance of voice selection and cultural relevance in AI therapy.

“We have a couple more really good questions here worth asking.”

Therapeutic Frameworks in AI

17:24 to 18:55

An overview of various therapeutic frameworks that inform the AI's responses.

“What framework or ideas does this draw from?”
Show all 34 chapters

Personal Experiences with Therapy

18:55 to 21:10

Hosts share their personal therapy experiences and discuss AI's potential role.

“i have and i'll i'll just open up about it there are videos of me talking about it out there i uh I've dealt with depression since I was young, like 12 or 13.”

Data Privacy and Security in AI Therapy

21:10 to 22:38

Explanation of how user data is handled, privacy policies, and consent.

Differentiating AI Therapy from Other Chatbots

22:38 to 26:51

Discussion of how this AI differs from other chatbots in approach and efficacy.

“It's, yes, I would say the majority of users still opt in to share their data.”

Legal Considerations and Therapy Definitions

26:51 to 28:01

Exploration of legal aspects surrounding the term 'therapy' and user data protection.

“If you saw the ChatGPT health release, it's been a really funny one because I don't know if you all followed this.”

The Complexities of Therapy and AI

28:01 to 30:16

Explore the differences between therapy and AI support, including societal perceptions.

“like, let's say, for example, I share sensitive data in ChatGPT.”

Regulation Challenges in Mental Health AI

30:17 to 33:18

Discuss the regulatory landscape for AI in mental health and the need for user protections.

“And in fairness to the commenter, I think we used that term when we sent the email, so apologies for leaving.”

The Future of AI in Mental Health

33:19 to 35:22

Examine how AI can improve mental health care and accountability in services.

“If you're talking about doctors, like, we don't keep track nearly as carefully.”

Accessibility and the Role of AI

35:23 to 37:46

Discuss how AI can bridge gaps in mental health support and improve accessibility.

“take privacy into account so that the exact chat logs are not recorded in this sense, but I mean, everything it says, you have a record of it.”

Monetization and Future Offerings

37:47 to 41:46

Learn about the monetization strategy for AI mental health applications and the balance of free access.

“Like, we know that of those with a diagnosable mental health illness, the majority have literally no care whatsoever.”

The Importance of Maintaining a Free Tier

42:00 to 43:30

Learn about the challenges and philosophy behind offering a free tier for mental health AI services.

“Like, I would never want to be in a position of saying if you can't afford support, we'll give you low quality support and if you can't afford you high quality.”

AI and the Future of Therapy Jobs

43:30 to 45:20

Explore concerns about AI replacing therapists and the unique benefits humans offer in therapy.

“So I think there are a lot of pieces that are really valuable.”

Enhancing Therapy with AI Insights

45:20 to 47:20

Discover how AI can assist therapists and improve the therapy experience for patients.

“we get further and further in the kinds of situations that it can take on.”

Addressing AI's Limitations and Mistakes

47:20 to 49:20

Understand the inherent challenges and ethical considerations in AI therapy applications.

“perfect there are absolutely hallucinations there are a variety of other things that can go wrong there are even unexpected usage patterns among certain people.”

Lessons Learned in Building AI Therapy

49:20 to 52:00

Hear about the key insights gained from experiences in developing AI tools for therapy.

“And then, you know, you don't bother to think about it for yourself, or you feel like this thing is an emotional genius, and I'm going to be it.”

Future Visions for AI in Mental Health

52:00 to 55:50

Explore the evolving relationship between AI and users in mental health treatment.

“You need to notice those ways in which the relationship is quite different.”

The Future of AI Therapy Models

56:00 to 59:04

Explore potential advancements in AI therapy models and their impact on identity.

“I mean, and you might be wrong, but what's your ideal version, you know?”

Personalized AI Interaction

59:04 to 1:01:24

Discuss the potential for AI to personalize interactions based on user profiles.

“Well, Daniel, thank you so much for joining us.”

Accessibility of AI Therapy

1:01:24 to 1:05:34

Understand the role of AI therapy in increasing access to mental health support.

“I mean, we have a whole document of questions we didn't even ask because the chat had such good ones.”

Challenges in AI Mental Health Tools

1:05:34 to 1:10:03

Examine the challenges and limitations of current AI mental health tools.

“I need some help with focus or I need some help with this.”

The Future of AI in Mental Health

1:10:03 to 1:10:26

Discussion on the potential for AI to improve mental health solutions.

The Ripple Effects of Mental Health

1:10:26 to 1:11:24

Exploration of how mental health issues impact various aspects of life.

“You know, I think a lot of people think mental health, oh, depression or a soldier that has PTSD.”

The Importance of Addressing Mental Health

1:11:24 to 1:12:08

Emphasis on the societal benefits of improving mental health care.

Engagement and Interaction with Viewers

1:12:08 to 1:12:30

Acknowledgment of audience participation and engagement during the discussion.

How to Submit Questions and Feedback

1:12:30 to 1:13:15

Instructions on how listeners can submit their questions and feedback.

“that showed up that asked questions that, that had thoughtful ones.”
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Transcript

Automatic transcript. May contain errors.

0:01Another Thursday live for the Neuron. It's great to have you here. I'm going to give everybody a minute or two to funnel in while we're getting started. uh let's see but i guess looks like we've got some popping in already and we'll go ahead and get rolling so welcome humans to a very special live episode of the neuron we're really excited to have you here i'm cory knowles editor of the neuron and we're joined as always by our faithful writer grant harvey even though you can't see him hi grant how are you Aside from invisible. It's, unfortunately, it's my camera today. I'll turn it on for a second.

0:40You can see I'm very blocky and very choppy. So I'm going to be audio only right now. Sorry about that. If you're an AV expert, you can reach Grant at team at the Neuron Daily. Yep, yep, exactly. All right. Well, today we're tackling a very important and honestly pretty sensitive issue. But it's a big topic in AI, so we wanted to discuss it, using AI for mental health support. AI chatbots are increasingly being used for emotional support, but lawsuits, clinical reports, and internal research by the AI companies themselves even have raised real concerns about their impact specifically on vulnerable users.

1:25So what does it take to build an AI system specifically designed for mental health from the ground up? Is that even possible? We're going to find out today. So to help us answer that, we're going to be joined here in just a second by Daniel Reid Kahn, co-founder and CEO of Slingshot AI, where he leads the development of ASH, which is the first AI app purpose-built for therapeutic support. Daniel and his team spent 18 months building a foundation model for psychology, trained on real therapeutic conversations, and raised$93 million from A16Z, Radical Ventures, Forerunner, Felicis, and Menlo. Love to hear this.

2:07Daniel, welcome to the Neuron. It's good to have you. Good to be here. Excellent. We're so excited. Please forgive Grant here. He is having some video issues today, but he is here. So sad. I was really excited for this one, Daniel. So I'm going to call in. But now I'm here and I'm rooting you on. Today we'll call you G, as the box says. Oh, man. Well, I guess first, Daniel, what's the personal story behind Slingshot AI? Like what led you to say, I want to spend my career building AI for mental health? That is a great question. Well, my dad's a psychologist. My mom's a social worker. So I've been thinking about the space for a long time.

2:56I did my undergrad in philosophy of psychology. I had been, yes. I mean, I've been very curious about kind of the philosophical side of psychology, I guess, for a long time. I'm a philosophy grad too. Really? Yeah. But not specifically the psychology end. I'm curious, did you think of it as a useless degree that was a lot of fun? Or did you think of it as useful for some reason? My dad thought it was a useless degree that was a lot of fun. I always joked that I can work anywhere I want with a philosophy degree. Dad, I can go to Kmart. I can go to Walmart. I can go to Burger King. Anywhere I want, I can go.

3:31And I say that tongue in the cheek. Those are valuable jobs. But I would say today, I feel like it was a really smart decision I made 20 years ago. Like, I think the philosopher is about to have a new coming of age era. Couldn't agree more. I mean, I think useful things are overrated. Yeah. but I actually most of my peers from my undergrad are I think working in shops and having great conversations while they're doing so yeah go them I did but yes I studied philosophy of psychology I actually gave a talk in my undergrad where I met the Queen of England talking about addiction and like trying to understand what it is I did my postgrad in AI postgrad research and AI for mental health and then I worked for a while trying to help people at scale with mental health challenges with ai pre-2020 pre you know modern llms so that meant we couldn't achieve very much honestly yeah um i uh when it came when you know chat gpt actually came out i thought maybe we're finally at a time where we could do this i met my co-founder we kicked this off but it's been a long time coming um i've also i i guess i talk about it a lot less publicly uh but i've had my own challenges when it comes to mental health and yeah more specifically just finding someone that I felt could understand me, someone that I felt that I could connect with that could be helpful to me personally.

4:59And so a lot of my motivation in the journey is just to build something that I would personally, is that I would personally find helpful. Cool. Yeah. You mentioned your co-founder, Neil. Neil actually built Casper into a$500 million plus company. What made you, what made a mattress entrepreneur and an AI researcher look at each other and say let's fix therapy that is so funny so neil uh neil's an amazing human being i think he's someone who just whenever i meet anyone he knows any of his friends acquaintances they just talk about him as one of the kindest people um his story is fascinating because he uh dropped out of medical school to start casper his dad was a sleep doctor and he had this mission of trying to make sleep cool uh and casper of course made mattresses that are great but they also built a an amazing brand and beyond everything else they convinced people to spend a lot of money to buy mattresses and to value their sleep uh when he left uh he you know of course had a uh great exit he also had a tough time he he left around covet uh he went through his own mental health challenges you know helping run this massive company um he got support he made it his mission for a while to reach out to people who are in positions like him and try to make sure they got the kind of help and support they needed um he invested in about 200 startups mostly around the health space uh he when we met it was just a funny like opportunistic conversation um we took a walk actually around union square um he had met my brother at like a conference my brother introduced us like you two just need to meet we took a walk we had this very hypothetical conversation about if it actually were possible now to finally help people directly with their mental health with ai how would we do it like what would be the process um our half hour walk extended we we got we went to an office we got a whiteboard we drew out this master plan and it was just completely for the fun of it we were just like well obviously you need a massive data set because the kind of data uh in behavioral health is just not available on the internet it's not like reddit data if you want to learn from them from data you just have to learn from data you can't just go download therapist conversations Yeah, exactly.

7:13So then we understood like the barrier was just we have to build out a large scale data set. And obviously that's where we're going to get stuck. And then the next day, Neil turned up to work and he was like, all right, we're doing this. Yeah. And he had I mean, he was an exited founder. I'm much younger than he is, but he had this attitude of like, I don't need to just build something small. I want to do something meaningful. So we spent the first three months just trying to see, is this possible at all? and our first 18 months ended up mostly being about building out partnerships, building out our data set, building out our team, training our models.

7:47I think it's funny. He and I are very different in terms of our backgrounds in a lot of ways, and we also, a lot of what makes our partnership really strong is just extremely personal. We get along extremely well. We agree almost all the time. That's great. I would say it's funny. People are always looking for the, you know, what do each of you bring to the table, and I don't honestly think of it that way. Like, I think I love having him as a partner and it's much less of like an economic, you know, this is the correct partnership as much as like the human thing. Excellent. I think that makes the rest of it work well, in my opinion, if you have that.

8:27When you started Ash, what was the gap that you saw that nobody else was filling? I've heard you say before, or I've heard you talk before about potentially like the reasons why the chat gpt is not was not custom built for therapy and no one really anticipated it being used for that use case so what made you think that this required a different approach um great question well i mean also when we got started it was uh it was a very different generation i would say what's fascinating compared to today is uh when we first got started if we talked about something like ai therapy i have a little dog i take the subway i used to take the subway in new york all the time and so i talked to random strangers and you know everyone's what do you do and i'm like i'm building ai therapy and everyone would like pause for a minute like that's crazy wait what does that that even make sense like what do you and it's changed so much where like in the early days convincing people that ai could actually help people with mental health that was the crazy idea and now it's commonplace last year uh harvard business school said the number one use case of ai is uh therapy to use their word wow um but in terms of the gap in the market it's it's kind of obvious like going back 50 years there uh eliza was like very early uh chatbot that was trying to model rogerian supportive psychotherapy the idea of ai therapy was like you know a cliche almost like it had been around for such a long time in computer science but no one had seriously tried to build it um i had been after it a long time and uh i think it was just a matter of the technology i think we were in a moment in time where we thought maybe it's finally time someone seriously builds AI therapy.

10:03That's awesome. So I guess for someone who's never used Ash, what is it? And what happens when you open the app? What's it like? I'll give you a demo. Oh, we'd love that actually. Well, you have to let me know if you can see it on my screen and I'm really hoping nothing embarrassing pops up. But I have my little app right here. Ash, I mean, it's an app, it's mostly centered around the conversation. You guys can see this. Yeah. Yeah. Beautiful. it's mostly I actually had I was looking at this you get a letter nowadays um this is our newest feature in this one I like that yeah which was super funny this is actually personal this was me but it writes about um the the neuron podcast and it says the podcast is coming up and uh you want to be fun and friendly for it and it was writing about I was talking obviously about being on this podcast um but I would say like the what's cool about the experience is um it's not purely it's mostly centered around this conversation but it's not purely you know you show up when you have a problem a lot of it is about growth it's about connecting with those moments of insight and so we really tried to create just on the home screen of the app that connection with like message that I've sends you to connect with your day that could be helpful and then you have these kind of like topics where you know ask will offer to start a conversation to tap into some topics we were talking about before and continue and then most of the app centers around the conversation um so that's let me see if i can just talk to ash in voice mode um is it more common for you to talk to ash via voice or via text or do you're on podcast uh that i was telling you about um i'm live on the air right now um can you just introduce yourself and share a little bit about what you are.

11:51Oh, no. Sorry. It's in my ear. All right. No worries. Hey, it happens. That's the nature of live. Of course. Hey, everyone. I'm Ash. I'm an AI people interact with through a mobile app. My role is to help users think more clearly, reflect on what they're experiencing, and navigate emotional or interpersonal challenges in a structured way. I'm not a licensed professional, but I'm designed to support self-awareness and clarity and to encourage people to seek human help when they're in serious crisis. So then I can ask, you know, like, I don't know, if you had advice for the people listening to the podcast, would you have any general advice on what people should be thinking about for their own mental health?

12:42Sure. For anyone listening, I'd say this. Build small habits of reflection before things pile up. Most people wait until they're overwhelmed to think about their mental health, but even five minutes of checking in. What am I feeling? What's actually driving my stress? What conversation am I avoiding? Can prevent a lot of buildup. Also, pay attention to where all your emotional support is concentrated. If one person, one job, or one identity carries all of it, stress hits harder when that pillar shakes. diversifying connection and meaning creates resilience and finally don't confuse productivity with stability you can be high functioning and still internally overloaded anyway so i've been down long enough to notice wow you can stop there but we have quite a bit else that's going on in terms of the product um it's personalized so the first thing you see when you sign up is just sharing a little bit of context on yourself on what you're looking for uh we try to work within people's values so if you're religious you can you know work within that kind of framework or if you have philosophies that you subscribe to.

13:45I like that. That's really neat. That's really neat. Someone asked an interesting question in the chat from Jasheen Shelton. Are there any guardrails in case she hears like trigger words that she knows to look out for? Yeah, let's give this one a shot. I mean, I could try something, which is, what would be, is there a message I could ask that you think would be an interesting one to test it? hmm uh joshina if you want to give an example i mean something that's not you know too too outrageous um we could do that i would explain yeah hopefully it's a hard one to do on a podcast without being too embarrassing but i would explain we do have a clinical team in-house that thinks a lot about the different kinds of pathways of escalation um we have seven layers of guardrails in terms of our system thinking about everything from pop-ups that would come up.

14:36So if I mention something that indicates that I might be a child, it will stop and ask me to actually verify my age. If I am talking about suicide or self-harm, it will identify that and it'll suggest resources. What's interesting, I think, is it's sometimes people think about the, you know, escalation. I think the way that we somewhat think about it is more about the resources that are most appropriate for the person in front of you. I got a letter not long ago from someone who was going through a domestic abuse situation and um in that kind of situation as you can imagine you're not going to therapize someone to solve their situation but there are resources that they can access and this woman wrote us a long letter saying i was able to get out of my situation and it wrote like i you saved my life i would not have been able to do this and it was not ash like it was not that ash was able to you know just tell them the magic words It was just about talking through the situation, talking through what resources would exist, what it would look like to access them.

15:34That's amazing. Wow. We have a couple more really good questions here worth asking. Like, they're kind of flying in, which is great. Wow. Are there other voices you can choose from? Are there other voices? Yes. So we had eight voices in the app, and our next app release, it goes up to 100. so as of a few days from now we now try to get down to the accent we try to get back to the age the uh you know some it is important that you find someone uh in general that you have this like experience that something feels right to you we've had a lot of feedback in the past about people wanting an indian therapist um that was a big request actually oh cool um and i think some of these things are voiced some of these things have much more to do with background and persona so we've also tried to create more of an ability to extract from our data set some of those cultural expectations some of that understanding uh variation for different people that's big because i know when people you know look for therapists in real life they want someone who can relate to where they're coming from and understand their specific background so that's really good that you have that i think actually just a few weeks ago i was with one of our advisors um lori gottlieb who's um a famous uh therapist she wrote the book maybe you should talk to someone she writes for the New York Times, and her top piece of feedback was she was like, I'm a mom, and I just want to make sure that I'm able to talk to an AI.

16:56If I'm talking to Ash or I'm talking to a human therapist, I want someone who understands what it's like to be a mom, and I want someone that can empathize with that experience. Yeah. And I think a benefit for us coming from a large-scale data set is, in practice, finding someone that matches all those cross-sections to understand your backgrounds incredibly hard, but an AI actually can lock into that huge variation and find, And essentially constructing a background that actually does understand you from just all the various people it's trained on. That's really cool. There was another question.

17:28What framework or ideas does this draw from? Great question. Yeah, go for it. We train on a huge amount of data. CBT, DBT, ACT, IFS, psychodynamic therapy, motivational interviewing, somatic therapy, among others. personally I'm a big fan of just basic basic supportive psychotherapy like Rogerian the thing that we've mostly learned from the data and not just data from ash but also the data that we train on and data from meta-analyses is that the vast majority of efficacy of therapy or the impact of any kind of helping relationship is mostly going to come from the relationship itself so those properties do you feel connected do you feel like you're working on the right thing you feel like you're working on it the right way do you feel like you've collaborated to set goals um that's often called the working alliance um and then the skills like is the empathy uh legitimate i mean there's so so anyway the the frameworks themselves the techniques are important towards creating that kind of helping relationship is what we've found um but from meta-analyses the actual variation by framework actually only accounts for something like two to five percent of the variance and efficacy um this can sometimes be hard for people when they're very attached to the modality that works well for them and this is not to say that the modality isn't hugely valuable but it often is valuable because of that kind of working alliance that you're able to create within that kind of framework okay does that make sense that does make sense that does make sense um have you two had experiences in therapy or coaching or counseling that i have i have and i'll i'll just open up about it there are videos of me talking about it out there i uh I've dealt with depression since I was young, like 12 or 13.

19:12So it's kind of been an on-again, off-again thing. But I also have PTSD. We had a pretty – that led to a good long stint of therapy. Four years ago, we had a late-night home invasion one night. Somebody broke in, shot the house up, shot my dad. It was this great big thing and led to an extensive amount of counseling for myself, for my family in the house. And so this is something that is really personal about. And honestly, I've used AI to some extent for that, I would say. But I would say that my use has been less me spilling so much about myself as maybe more looking for advice to deal with certain, I would say maybe symptoms even.

20:06Like, you know, like I'm really scatterbrained this week. I've got a lot on my mind. You know, what are some ways I can, you know, kind of zero in that focus back, you know? Yes. I think something we found really valuable and that we've been leaning into is also, I think, like, a lot of people go to therapy or counseling at some point in their lives, and not necessarily all the time. And you realistically can't give in, you know, price accessibility. But taking in everything that you gain from therapy, learning from that and bridging the gap, being able to take those insights, those moments of reflection, and hold on to them for a long time, have that when you need it.

20:44I think that's also a big part of where AI can fit in. So not kind of to help you in that moment when you're processing trauma, that can be incredibly hard. And that's a moment where, you know, just having a human with, you know, a full system in front of you to help you stay centered can be incredibly valuable. But then, you know, from that moment onward, taking what you've gained and holding onto it, I think can be a real opportunity for AI. I think so too. yeah um we have a ton of questions in the chat so many questions draw back into those so i saw two about confidentiality and this is uh this is the one that i'm probably the most um interested in myself um yeah how what happens to the data once it goes into ash and the other one is was how do you kind of oh actually yeah let's stop there and we'll bring this one up next happy to run through okay so I would say the first thing is when you first sign up we ask for permission to train on your anonymized data and we explained the process we do allow we do have a process for storing anonymized data given how we started through partnerships we've had to make privacy a core competency but that said I would say like for our team and we also have a number of celebrities that are investors in us and that are involved with us a lot of them are obviously very concerned about privacy um and so we allow people to opt out um for like this has been an interesting business practice but if you opt out and don't permit us to uh to train on your data then we don't use it at all um and we have uh we process data essentially only while you're connected to the app uh we use zero data retention in terms of like if we have uh requests for any uh For any companies we work with, we only use zero data retention contracts to ensure that we have data stored.

22:38It's, yes, I would say the majority of users still opt in to share their data. And the reason why is because it is literally used to benefit other people's experiences. And we have such incredible experiences people have with Ash that they want to offer up their experiences as a way to help other people. That's interesting. So basically what you're saying is you can opt out right away if you don't want your data retained at all. And also, you know, you only use it during the connection. Does it, so like, let's say I have, you know, you showed the app earlier, there's a chat history. Is that stored locally on device or how is that processed?

23:15So we actually, for a long time, it was stored only on device and it became infeasible mainly because of the size as well as switching devices. So we do store on our backend, but we store encrypted. So when you connect, we actually unlock it with an encryption key that allows us to read the data in the session. And then it gets stored in memory. When you end the session, there's a very short time period in case you reconnect. And then it's just wiped from our servers. The result of that is that it can take some time, actually, when you first open the app and connect to Ash. Like, you won't see it, but in that moment, we're actually doing a handshake and we're decrypting the data so that we can use it.

23:54That's really neat. That's so cool. It's a pretty complicated mechanism that took us a little bit of time to figure it out. Now, I think the line I want to draw here is how is it different from the other chatbots? That's a huge concern for me personally with how people are using the other chatbots for this. Yes. I mean, I think the biggest difference is just we want to do this. and i think the big model companies don't um you know we've spent time with folks at the big model labs i would say the biggest thing is we want to change people's minds like fundamentally like if you look through open ai's model spec like up there at the top in terms of their priorities they don't want to change people's minds they've tried to create a more deterministic system we've tried to create a more non-deterministic system we've tried to create something that's more of a conversation.

24:44We train on clinically relevant data. We use experts. We are focused on this one narrow use case, and we've gone hard to be good at it. And we know that these other companies don't train on equivalent data. And so, you know, what they're capable of, I think models in big model companies have increasingly moved towards use cases like search or like coding. And I think even in terms of experiences out there, people have noticed in the last year that a lot of these products like, you know, OpenAI and Anthropic have actually gotten worse at these kinds of use cases. And I don't think it's an accident.

25:17I think it has to do with the fact that this is like a hard use case to be chasing. And if you want to go after it, you need to go after it, like with the whole company. I'm not sure if that's a complete answer. There's much more that I can share in terms of how we've built it. We've had some conversations about that, too. the idea that as models are continually more optimized for these very deterministic tasks like coding, as an example, or hard sciences, that it makes more subjective areas, less deterministic areas, weaker. Yeah. In our case, I would also just share in terms of our training approach.

25:58So we train in three stages. We do, I don't want to get too technical here, but we do pre-training alignment and reinforcement learning. So the pre-training stage basically is where we train on a large-scale data set to learn the fundamental actions to understand the psychology. We align, which is basically where our clinical team and our conversational designers try to modify the behaviors and decide what would be appropriate for a conversation you'd have with an AI. And then on the reinforcement learning side, we try to learn from what works, what makes conversations successful at scale from our data.

26:29And it directly parallels the kind of approaches that the big labs are working on, except that most of the reinforcement learning going on in the world, most of this alignment is just focused on use cases like coding. And it wouldn't be valuable enough for those companies to try to pursue a use case like this and get good at it. This is just not, you know, this is the area that ChatGPT is honestly kind of trying to push people away from. If you saw the ChatGPT health release, it's been a really funny one because I don't know if you all followed this. but largely they've mostly just been adding safeguards and limiting it and there has been I think a bit of a reception of like everyone wants to use chat gpt for help and there's this weird way in which they're not sure they want people using it for them they're trying to containerize it and put it on the side yeah right yeah because they've just done it anyway yeah it's also just like if you use i use cloud code if you use cloud code and you're using ai for coding it is a much bigger market i think it makes sense that if you're an agi lab that's the area that you'd want to chase.

27:27And I think for us, we think of it as, yeah, it's probably not the market that you'd want to chase if you're a company pursuing AGI. Yeah. There's two questions I want to put together here because I think they're related. And I'm curious what your answer will be on this. So the first one is, how do you get to call it therapy? So this is from a licensed therapist in Colorado. Technically, they cannot provide psychotherapy to anybody who's outside the state that they're licensed in. And then the second one is related to this, in my opinion, is can ASH's records be subpoenaed? The reason I think those two things are related is because, like, let's say, for example, I share sensitive data in ChatGPT.

28:07Well, we know from the New York Times lawsuit against them that, you know, that data can technically be shared, you know, in that court case. So it's not the same as sharing it with a therapist, you know, like in a room, right? you don't have the same protections. I'm curious what your thoughts are. I'm so happy you're asking, especially my question. So for the first, on therapy, therapy is such an interesting term. I live in London, actually. I lived in New York until very recently. In London, interestingly, the word therapy, I mean, actually therapy as a profession is not a regulated profession.

28:39So anyone can call themselves a psychologist, a psychotherapist, or a therapist. In the US, of course, it is, but it's actually still a lot more complicated, state by state in terms of how it's regulated, in terms of what it is as a practice. We aspire to do therapy. I think when we set out, it was the colloquial term. It was the thing that we were talking about. It was the personal experience that we had had, and we thought AI should be able to do therapy. That's what we want to achieve. I think on the way there, what we've built out so far with ASH is definitely not that full-scale thing that we'd like to build over time.

29:13It's hard. What we have built out is something that we've been able to demonstrate helps people really significantly with building resilience, with handling stress, with helping with anxiety, with day-to-day life. Some of the coolest results, we've done some research now with NYU, with University of Washington. We've shown that, among other things, people who use Ash after about 10 weeks have about one more friend on average, so they have actually like stronger real-world relationships and connections. They feel more hopeful. They leave their house more often. There are like real impacts that we're able to have on people's lives.

29:49I think the term therapy, it's a funny one. We don't write the word therapy in our product. We don't talk about our product like that in that kind of language. And if anything, actually, it's not great marketing for us to do so. Therapy still has a big stigma associated with it. Telling for most people in our market, if you were to say you're going to therapy, it means admitting you have a problem, which is not something everyone really wants to do. I use the term therapy, I think, in these contexts and talking about the company and our ambitions, but we have kept that away when it comes to the product.

30:18On the second point… And in fairness to the commenter, I think we used that term when we sent the email, so apologies for leaving. Totally fair. Yeah, I would say that was probably a neuron term, but from not knowing more so. Yeah, right. I think it's a complicated one. I mean, to even talk about what we mean when we say therapy sometimes, I think that's… I've done podcasts where the whole topic is just what is therapy. I've done many of it. It's just a big open question. And I've solicited advice from experts. And there's not much of a consensus there. I mean, if you read Carl Rogers, father of supportive psychotherapy, he did not believe that therapy was actually something that should be reserved for professionals.

30:57It's a very interesting debate. Wow. I would say it depends on what you're trying to achieve. It depends on the kind of problem of the person in front of you. We do try to, like I said, signpost for people who have problems. If you mention a diagnosis to Ash, it will give you links and references to how you can talk to an expert that could be more helpful. As a company, though, our ambition is to help with everything here. The challenge is there's a massive shortage of mental health providers. There has been for 50 years. I think it was 60 years. I believe it was 1964, about a month before he was assassinated.

31:30JFK gave a testimony before Congress about the massive shortage of mental health providers and he pushed Congress to pass legislation to help bridge the gap and 60 years later we have the same gap that we did then and demand has only gone up. So I think we have this problem. It's not going away. We exist as a company and we've raised a lot of money for this purpose because we want to make a difference in this space. We're not building in private. We're building in public. We want people to try what we have and we know we can have an impact and that doesn't mean that we can help everyone and it doesn't mean that we can fill every gap today.

32:02Yeah. I think that's fair. That's great. And then to the second point. So I think regulation here is hard. So we've recently brought on a phenomenal general counsel who's been helping us try to push on the legal side. He used to be Kamala Harris's general counsel in the Senate and the White House. He's been incredibly helpful trying to meet with lawmakers on the state and federal level and try to enshrine rights for users much more so in law. I think this is a huge concern for me, and this is a lot of why we want to have our privacy requirements in our app. I'm personally hugely concerned about this, and I have spoken to lawmakers, and I've been trying to get this enshrined in law.

32:46It's a hard, complicated one. I don't think it's black and white. I think something people don't realize is that mental health professionals actually can be subpoenaed as well, although there are more protections usually on the side of like judges in terms of this is my understanding, not as a lawyer, not giving, you know, but in general, a judge would not like would not hold a mental health provider in contempt of court for refusing to apply with a subpoena. But a lot of this is really complicated. It's state by state. It's not federal. So I do think like we need to respect it's mental health is like probably the most important place where this exists but this exists in all of ai people are giving social security numbers and private information to chatbots and we need to be protecting that data and i don't think that our laws go nearly far enough to enshrine those rights yeah what do you think this would look like would this look like because like we've heard um you know sam altman and other people talk about how potentially you know in the legal field if the models could you know be able to pass the bar today which i think they can why couldn't they get licensed would this look like getting your model ash licensed i know it sounds silly but i think like what's funny about this is licensing would be like um licensing in a lot of ways is the wrong model i think um because if you know obviously ai can pass the bar um obviously we could pass any exam that you were to throw away and i don't know i don't think that actually is enough to demonstrate that you're good i think the opportunity with ai ultimately is to learn from the data at scale it's the fact that you actually can assess in a way that you couldn't for a professional, how safe it is, right?

34:17If you're talking about doctors, like, we don't keep track nearly as carefully. Like, the fact that you were able to graduate from a course is a helpful step towards saying that you could be qualified as a professional, you know, if you graduate from a law degree. If you then pass the bar, that shows more. If you then do an internship and then you do training, that shows more. But at the end of the day, with AI, we can go way beyond that. We can actually look at all of the data and we can see how they do. When we talk about, like, Waymo and safety, we don't just talk about what tests have passed, we talk about how it's doing on the streets every day.

34:47So I think that there's a big shift towards kind of especially much more of that comparison-based regulation. So if you could understand not is this legal AI passing the bar, not even is it perfect, but just is it better than lawyers? And I would imagine that in a legal context, the threshold of passing lawyers is going to be a lot lower of a threshold, if we're being honest, than the threshold of being perfect, but it's also a lot higher than the threshold of passing the bar. Okay. Yeah. Fascinating. Yeah. In a way, it's almost like we can hold AI models more accountable because everything is recorded.

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35:22I mean, obviously you take privacy into account so that the exact chat logs are not recorded in this sense, but I mean, everything it says, you have a record of it. Yes. In terms of the kind of checks that you can do online like while the conversation is going on in terms of even a subset for us of the data where people do opt-in for training we can use that for research purposes we can use that to understand the impact we've already been able to demonstrate I mean some of the things that were most interesting to me in some of our research so far is that in terms of the iatrogenic effects of mental health so we can measure basically on a population that uses ash compared to an equivalent population that didn't how many of them got worse in the kind of ways that can be caused by the intervention.

36:05So people don't really think of therapy as potentially iatrogenic, which is to say like harm coming from the healer, harm coming from the practitioner, but that can happen. And we've actually found that degradation in symptoms, so people like getting worse over time happens a lot less when they're interacting with ASH. We found that the kind of negative effects that are happening from ASH, it's not zero in terms of people who might see a message and interpret it in a certain way, but it's actually significantly lower than equivalent people that are going to experts. And I think that's like the other flip side here is in terms of raising the bar on our expectations for, you know, how we offer care to everyone.

36:43Yeah. Do you feel like something I feel like about this as as a person who's greatly benefited from therapy over the years? it was not always easy it was not always easy to get in with a doctor to find someone who'd take your insurance if your insurance would pay it was not always easy to to get that help when you needed it especially to have quick access in a moment where you're needing and and even not thinking of it as therapy but just thinking of it as something that will listen while i talk and come back with something constructive like not everybody has a family not everybody has close friends or people they feel like they can talk to about deeply personal things.

37:26I really feel like this is an opportunity to, if done right, and, you know, given time to grow. There will absolutely be growing pains, I'm sure, but I feel like it could really help with, like, widespread access to some type of mental health assistance. Yeah, I mean, you have to at least see this as just the matter of raising the bar. Like, we know that of those with a diagnosable mental health illness, the majority have literally no care whatsoever. They literally have no one they can go to for help. And to just get access to those people to something, I think, raises expectations. And I think as well for our system, I think a lot of people are looking for support that, like, in terms of our actual massive shortage of mental health providers, there is a part of that, which is that we don't have kind of like lower levels of care that you get.

38:21And I think part of that for me is like the space of spirituality, right? The space of where you might previously have gone to a religious leader. Yes, that's a good example. And I think like that's kind of when I think about helping relationships or if you think about AA as an example of the kind of intervention that, you know, you're typically going to at a church or something like that. These things help people and it's mostly people helping each other. And we're not necessarily talking about clinical interventions. In a lot of these cases, we're not talking about clinical issues, but we have as a society lost some of those social structures that give people someone to talk to.

38:53And so we filled the gap by medicalizing it, by treating your problem as medical all the time. And if your problem's not medical, I mean, even if your problem is medical, the solution isn't always to seek medical intervention. Sometimes it is, and we should have those resources available. But a lot of the time, you know, where you previously would have gone to a religious leader, perhaps there are other kinds of support that you would need. And so I think the thing, like I was saying, I find most promising from ash and our impact is about the ways it builds social structures the way in which when people talk to ash they have a chance to share something out loud for the first time that they haven't ever perhaps and now they can think about who else i can talk to about this and they're able to go to real humans and build those strong social connections that can be really beneficial okay um related to this so someone in the chat just asked how are you able to offer this for free the development training and maintenance costs alone alone are huge looking out for your business there i appreciate looking out for my business um we are going to start monetizing very soon um we have been able to keep it free and it's mostly as we focused on development i can share very fortunately for us for the last six months we uh which is roughly the time since we yeah we launched about six months ago we have steadily increased on literally every metric basically linearly in terms of our ability to improve the model.

40:13Because we are a modeling company, like we just see improvements in the model lead to improvements in user experience, improvements in impact, and that's gone up so steadily. So that's basically been our motivation, kind of like any venture-backed startup. We were able to use money that we raised from investors to subsidize usage so that we can improve the product over time. And now we're getting to a place where we're comfortable, where we're ready. And the flip side there is we haven't been able to scale. We haven't been able to try to pursue more users. We've had about 200 ,000 users, but we have not tried to increase that because of the costs naturally.

40:46So now that we're kind of ready to go big with our current product, we will have to start monetizing very soon. I'd say one other piece that's fascinating about mental health is just, there are huge numbers of organizations that have responsibilities for lives that want to create more access to mental health support. So we're in a fortunate place where just a lot of people want to pay for this. In mental health, people are used to paying out of pocket. That's the reality of it. The average therapist in the U.S. I think last year was$174 out of pocket. BetterHelp is$360 a month per visit. BetterHelp, though, I mean, is huge.

41:22They're$360 a month. It's expensive. Even that? You're really not saving any money with the apps. You're gaining convenience is, uh, uh, has been my experience with, and I don't necessarily mean Ash, but I'm meaning with like better help versus going in. Yes. Although I think even all of these apps have increased access in so far, they've been able to create like more, more liquidity, you know, have therapists be able to take more sessions so that more people can have sessions. But there's also like that flip side, which is like, how many sessions do you really want to have? If you're a therapist, like these things are intense.

41:57You don't want to have, you know, 12 sessions in a day like that's not a sustainable way to live your life and offer the best service um anyway for us yeah go for it no no no i was gonna change topics lately no go for it oh because i was gonna ask will you always have a free tier even as you're monetizing like will you always like have at least some some sort of offering in that area we would very much like to and we plan to currently have an always free tier um i think it's potentially hard it's potentially hard because we do use a lot of compute and the direction with ai i think the question that we'll probably have to ask i don't want to like make predictions far ahead just to say i have no idea if we'll use language models in 10 years i don't know if transformers will be a thing we do expect that ai will be able to help people with their mental health but definitely new options yeah yeah i mean the main thing is i don't want to ever be in a position where we offer a degraded service and so i think if you think back to like early chat gpt when they had like the free tier with GPT 3.5 and a paid tier of GPT 4.

42:56Like, I would never want to be in a position of saying if you can't afford support, we'll give you low quality support and if you can't afford you high quality. There is less good mental health support. Yeah. Exactly. I'd be much more inclined to offer something along the lines of like, if you don't get the value, we'll give you your money back. If you can't afford it, we'll have like a fund or a charity or something that can just fund it so that we can just give access to most people. But I think the truth is most people are willing to pay for this, like would want to pay for this like we you know when we meet people who get value this is not the sort of thing where you know you're trying to take advantage like people do see the benefit that they're getting yeah i agree um i have another so there's a couple other questions that are related that i want to group together um and i think this one was from joel bitson do you have any concern that this technology might take therapist jobs and if not what do you think humans can offer that ash can't another question was from m height who said should ash replace traditional psychotherapy or be an adjunct to psychotherapy um i'm curious what your thoughts are on both of those i want to say honestly it's really hard to predict the future um yeah i personally so i have a right now i have an executive coach i've had therapists in the past but I continue to have an executive pitch and I find him incredibly valuable.

44:15So I think there are a lot of pieces that are really valuable. I think one thing to say is in-person therapy or any kind of in-person experience goes a long way. I mentioned this before, but I think just the impact on your body when you're in like a state of alert of having someone else in front of you who can speak calmly with a quiet voice. There's a lot that actually makes a big difference from just having a person biologically. I think the piece that I wonder is basically about the expertise, if that makes sense, which is like, and I think this is true in any kind of profession, like if you're talking to a doctor, will they be medical professionals?

44:54Definitely, but will I want to go to a doctor and have them be the one diagnosing me, or would I rather that be an AI? I think that's kind of gonna be the hard distinction, which is like, my expectation is that we'll have more and more humans that fit into the increasingly human side of the role, and I think there will be a piece that can be done by an AI. And if it can be done by an AI, it probably should for more people. And I think this will also be a matter of progression because AI will start by being able to take on kind of the easiest cases. And I think it gets, we get further and further in the kinds of situations that it can take on.

45:24Could therapists today be able to use ASH in some sort of partnership way? How are you thinking about working with them? Yeah. Well, I would say first, a lot of our users are therapists. Definitely disproportionately. We have a huge number of therapists that engage deeply with our product that give us feedback, that are helpful design partners. You know, if you are a therapist listening to this, you can go in and just ask for advice on a patient. It won't tell you what to do with them. That's not how it operates. But I think just giving that kind of like alternative perspective, a lot of the time people are like, I was in that session and I felt triggered.

45:54I don't know how to deal with this. And if you're a therapist, I mean, you have a lot to deal with and you definitely cannot step out and get support constantly. I think early in your career, people get supervision and they really value it and somewhat having that sense of supervision and someone you can talk to about your hard cases, you're not handing off the authority to figure things out, but you have someone to talk to. So that's definitely been a big use case. The other one is we are looking to do more. So something that I've found valuable is to share my notes from my sessions, my co-founder does the same thing with Ash when I talk to a human.

46:29And it definitely makes Ash a lot better. So there's definitely this piece of like bringing in the insight. So I think that's a piece we'd love to do in the future, which is just make therapy more valuable by connecting with therapy. So give notes before you enter the session, give notes after the session, you know, how are you feeling? And then connecting the dots, which is basically like three days later, a week later, like having you be able to reflect on that experience to have, it's not just a matter of like doing the homework. It's also just like when you're feeling really stressed three days later, the AI now, instead of just coming up with a hypothesis is like, you know, it's interesting because I remember you told me that in therapy they told you that you feel this way when blah blah blah is it possible that's what's going on right now wow well here's a question um ai isn't in any avenue right now perfect there are absolutely hallucinations there are a variety of other things that can go wrong there are even unexpected usage patterns among certain people.

47:35Like I know with some of the lawsuits that have occurred, some of these are people, if you read through the logs that have been made available, are very persistent and like it's been an ongoing conversation. And how do you prepare for the fact that perfection is probably not realistic? Yes. it's a good question so one thing we do right now is like i mentioned we try to uh encourage people to access other resources if they have psychiatric conditions yeah and we don't allow children and the reason why we do those two is not because we couldn't otherwise give help to them but because we want to make sure that people using the product today are competent are able to use reasonable judgment so that in those moments when things go wrong they can act accordingly and i think yeah it means that we can trust our users.

48:26We're not, I think there's this false perception, this paternalism that sometimes comes up, I think, in mental health or in medicine more generally, the paternalism of saying like, you know, if you want to know how the patient's doing, you ask the doctor. And the truth in mental health is if you want to know how therapy is going, you go to the patient, like by far the evidence suggests that the patient knows how it's going. If they say they're working on the right things in the right way, that they're collaborative, collaborating the cycles um that indicates that it's going the right way so i think the way that we think of it is like you do need to trust the user we don't want to be overly paternalistic we don't want to assume that we or ash knows best what the user needs what the user wants we want to listen to their direction at this stage doesn't mean that we don't push back ash push pushes back all the time it definitely frustrates people when they're like you know why is ash challenging me right here but you still want to be able to challenge while being respectful challenge while knowing that your challenge could be wrong um it's a very hard balance i think there are cases where ash has made mistakes where it calls someone by the wrong name uh for example or confuses two people in their lives very embarrassing you confuse like your wife and your ex-girlfriend or something like that oh it's definitely painful and i think those are probably like the absolute worst product experiences we can give because it you feel something um yeah i think still you can compare it to a human which is like i do think ash has far better memory than a human does and that's like a huge improvement and there's still that sort of like your therapist might make the same mistake or you know your friends might make the same mistake yeah maybe not the same ones i mean some of them are more embarrassing from an ai or they're like different in kind um we do try to catch it one thing we've done is if ash makes a mistake um and we detect it which we sometimes do we'll have a pop-up we thought about this we were like should we try to cover for the mistake or not and i think we've made a deliberate decision to say don't cover for the mistake we have a pop-up and we say it looks like ash might have made a mistake ash does sometimes make mistakes and in some ways it builds more trust with the user which is kind of like i'm still here i'm still in control and like i can still use my common sense and i think that actually is important ultimately we think about building when you're talking to an ai in general you can worry about the way in which you hand off autonomy the way in which you can have ai make decisions for you you can worry about competency which is just like if you talk to an ai that's infinitely smart like does it just make you feel dumb does it make you come and say like what do you think that my wife is thinking right now.

50:46And then, you know, you don't bother to think about it for yourself, or you feel like this thing is an emotional genius, and I'm going to be it. And you can substitute relationships. You can think this thing is a person. Those are kind of, I think, the three big risks that we think about ethically. And I think that there are steps that you take here that are really valuable. Honestly, those mistake moments build that autonomy to some extent, which is like, you are still in charge. You are still making the decision. I'm not sure if that answered the question. I think so. We have another question in the chat here I want to mention because that feeds into it really, really well.

51:16Actually, there are a couple of them. Like what have been some lessons learned as you've gone along through here? Like, is there anything that you initially didn't get right? And how do you maybe think you might answer that question a year from now? Great question. Oh, I'll take on the second part too. But the first part, definitely the mistake we made was, well, I mean, I used the word therapy. I was asked about this. I think we were a little bit too skeuomorphic. That was one thing. So we had a bit too much of an assumption on like the model of a human-human relationship. And it's become evident to us quite a bit over time that the relationship between an AI and a human is different.

51:58And though you kind of have to start with the human-human model, you need to move really far away from it. You need to notice those ways in which the relationship is quite different. So I think our assumption up front in the very beginning, literally when Neil and I took a walk around union square we were like do we think ai can do therapy and the first thing we said was well therapy is usually done on zoom these days at some point you know if you're having if it's on zoom i mean we will reach the point of what you know zoom agi where you are you know you're talking to me you've never met me in person maybe i'm an ai we will reach that point and we're not that that far away and so if that's true then surely ai can do therapy as long as it's on zoom and so that was kind of like our initial mental picture on day zero before we got started we were like, okay, 45 minute sessions once a week or whatever.

52:42And that's not how it is at all. Our usage is mostly between 9 p.m. and 5 a.m. That I think was like one big surprise. People use it when they don't have access to humans. People don't use it. People don't want it. I mean, another big one was we thought people would want more of a hybrid model early on. People would want humans in the loop. They don't. Humans want to treat this thing differently. They want to know that it's an AI. People open up much more often, much more quickly to the AI because they know it won't judge them. And so a lot of the benefits of no judgment show up immediately in a way that they can't with a human um so much more i can say um yeah i can go on for a while what will we have feel free that's really interesting i mean it's been fascinating to learn this um one thing i'd say about our company is um i'm quoting carl rogers too much but he writes this line facts are friendly in his right like he was someone who did a lot of empirical research about therapy and he was like what's really scary when you do research is you might be wrong and then you think facts are scary and you try to stay away from them and that was historically true that there were you know freud was not chasing facts to be all right controversial but i mean you can still respect him but he was not looking to be disproven per se anyway maybe that's not true um we're wrong so often and i think that's been a core part of how we've had to build uh we talk about sun shining our mistakes we have like our weekly all hands as a company and the main thing we do is we talk about what have we learned what did we assume where we were wrong we do make assumptions and we are wrong on those assumptions a lot.

54:08Another one was that we thought therapy was a good mental model, like that people wanted to talk about therapy and I think in some ways we've learned that therapy is like this secular practice that exists today that also fits where maybe like a chaplain could also exist and there are other kinds of models that we've started to introduce to think about where this might fit into someone's life and I think fundamentally the truth is it's not parallel to any human-human relationship. It fits into some completely new paradigm and our users know that i think our users are the ones who tell us that they're like why would you think this replaces my therapist like do you think that my dog replaces my friends

54:44wow that came up actually in our new york times article by the way reporter yeah our new york times reporter actually interviewed a bunch of our users and one of the quotes he pulled out was from a user who took a picture with his dog and said like this is my dog like you're asking me how this compares to humans it's a it's a different thing yeah yeah that's funny less is a year from now um i mean i imagine it'll be further in this direction i think a lot of the assumptions i'm making now perhaps a lot of what i'm saying right now i'll change my mind on and i will have been wrong on and i'm very hopeful we'll have evidence and data and facts that will show us why that's the case um i think that we're still probably too skeuomorphic i think we would love to have a model of what human ai relationships look like and we don't because they don't exist yet.

55:24I think that the nature of, like there are things that I'm still trying to figure out, like do people see Ash as like this one AI that everyone talks to or will it be different? If we want to help someone in rural India that has a completely different cultural background, will it be a matter of just changing the AI? Will we need a completely different app? Will we need it to be built by someone local, someone with more cultural understanding who can create something for that person's needs? yeah um you know how much of it is just the ai versus the overall experience how opinionated should it be versus personalized um these are some of the things i hope we'll have learned a year from now yeah i have one kind of like uh i guess like jumble of questions i want to just throw out here before we wrap up um because i know you're you gotta go on the hour um one you you created your own model to like ash is your own model that you've created so you know how how is that going are you going to potentially make a new version of it um you know what what what do you see as your path there and from a broader sense what does the world look like three to five years from now if you get this right like what do you really want the relationship to be Like, I know you're sort of saying that we're creating it in real time.

56:42I mean, and you might be wrong, but what's your ideal version, you know? Well, on the first point, on the modeling side, I mean, I got into AI in 2015, and I thought I was too late because I thought the singularity would happen before I'd finish, you know, learning how to train models. So I've been wrong a lot. I also thought Bitcoin would fall in, like, 2019. I was completely certain of it. I was definitely wrong. I think when it comes to the modeling side, I don't want to make any predictions. I don't know where frontier models will continue to progress. I don't know where we'll, like, I think what's important to us is delivering the right user experience.

57:18We've already, I think, developed a lot outside of just the core model. I've talked mostly about core model, but much of what we've built is actually the scaffolding around it, what happens before sessions, after conversations, what happens in the background. We have, you know, parallel agents that run, that do thinking. We have systems to understand what you're talking about. you know we have our memory system that's uh quite unique i think we have potentially like one of the best memory systems out there for this kind of thing um that's awesome so there's there's a lot else there and i don't want to predict what the modeling world will look like in the future i don't even know again if transformers will be there on the three to five year time horizon though i mean i think that we want this to be available to everyone i think that's that's the big thing i think um i am hopeful that our so hard for me to talk three to five years out um i do think that the world will change tremendously in the next three to five years i think that today we especially americans define our identity so much in terms of work and yeah that's going to mess with our minds like i think that the way that we think about our sense of meaning and value in the world is going to be ripped apart and i think that the biggest thing i'm hoping for and watching for in the next three to five years is i think that we need something scalable something that can actually help people transition and think about their values, think about their place in the world.

58:33If we're successful, I think that we will be on this transition. We will be a core part of this transition for the world towards learning how to live in an AI world. And I don't know exactly, again, what that relationship looks like, but I see it as a certain kind of expert, a certain kind of companion that you're able to talk to that helps you make this transition. and ultimately one that helps people have stronger real-world relationships, stronger autonomy and competency, and not something that takes away. Love it. That's great. Same. Well, Daniel, thank you so much for joining us. Oh, sorry, Grant, go ahead.

59:10No, you're good. You're good. Go for it. I don't have the visual cue of your face moving, and it's throwing me off. Yeah, that's fair. Daniel, thank you so much for joining us. Maybe we'll have a visual cue for Ash. Maybe we will create an avatar by then. There we go. There we go. Oh, that's a, I mean, yeah, that's an interesting idea. I wonder if people will like it or not. That'd be a fun experiment. I keep thinking, wouldn't it be cool if you could... I think you could try it, but I wouldn't have it be the default setting because it might go to Uncanny Valley for people. That's my gut feeling.

59:43But maybe I'm judging that off of the models today and not where they'll be in six months from now. What if it was based on your disk profile? if uh if you did a disc profile and and not just that but what if it could spin up the right tone for addressing you and the way you are open to learning and the way you were doing that but from that i mentioned the disc profile i always always kind of laugh it off a little bit but but the truth of it is it is fairly effective at what it gathers uh and uh that's absolutely uncertain an amount of an amount of personal privacy most people wouldn't give up but i would sure love to see what it would happen if it was like okay this is this is the way you need to be approached this is the way you're motivated this is the way you are excited and approaching things this way absolutely turns you off maybe uh seems like a really cool thing that could be done in the future.

1:00:42Absolutely. Yeah. I mean, I think the questions of like how we collect that context to get the right personal experience. If I went, I can go on the long topic, which I know we're out of time for is always on the, do we want to have you essentially pick from a range of humans? Do we want to construct something very different or do we want to constantly be learning and constantly be molding the experience around what makes sense for you? Yeah. And I'm sorry, I was trying to say bye and I turned it in. I mean, we can stay longer if you can, but I do. This was awesome. Thank you so much. Daniel, where can people check it out?

1:01:18Talktoash.com. Happy to drop in the chat if you guys talk to Ash.com. Awesome. Thank you so much for your time. We'll see you later. Grant, that was interesting. So cool. I mean, we have a whole document of questions we didn't even ask because the chat had such good ones. because the chat showed up with better ones in some cases yeah that were just things that i i even had overlooked thinking we should ask about uh yeah the truth is we'd had another hour we could have run through the other list and looks like we have a couple that we even didn't get to like uh i see we got a question from groggy rob by the way best name ever does does ash take into context cultural differences in class perspective yeah so i said that in the chat it uh that is something that they're working on uh i don't know if he said it was like a hundred percent rolled out yet but they're going from eight profiles to a hundred and that's the idea is that it's it's supposed to work with you within the framework um you know whatever frameworks that you come to the the app with like from your background and they're working on making that a bigger part of the model um and then there was another question is it web or cloud-based or all local he also answered this earlier so the processing is happening over the cloud but um your your data is stored in a like private cloud backup essentially so like they originally did it all local but then they switched to a model that was a little bit more sustainable um because like at a certain point if you have conversations with dash every day every week um it's going to just blow up your phone.

1:02:55Yeah. Hey, Ika, would you mind terribly grabbing any of the questions that we didn't get firm answers to? I mean, not firm answers, but that we weren't able to get to because of time? Because we could always email those over and maybe when Grant writes a story about this later, because you usually do, we could maybe squeeze some of those in. Yeah, for sure. That'd be great. Yeah, because I think we'll probably wrap up here unless anyone has any other questions that we can talk about or if you just want to share your general thoughts you know before we wrap yeah yeah we'd love to hear it's it's an interesting topic and uh uh and one that affects the people it does affect i'd say in a uniquely personal way you know and to me the real value here is about accessibility and timing like we've always had a shortage of therapists we've always had problems with accessibility to good mental health care whether that is for someone you know of their maybe it's to do with i'm trying not to say poor is there a nicer word with people who don't have lower economic background yes thank you i i was like my brain was just just absolutely slipping on me who can't afford it for any reason uh or people who are uncomfortable with the idea of talking to another person.

1:04:22There are absolutely people who might feel better talking to an AI because you don't have to worry about that judgment or the human sociological dynamics of, you know, oh, my therapist is a little different than me or just like me. This person's going to judge me. You don't have that necessarily. Yeah, I mean, Daniel asked both of us if we have been to therapy before, and I didn't get to answer, but I haven't. And one of the things that I wanted to ask him, it's something that I've been wanting to do for years and years. I desperately need to. And I wanted to ask him if this would be a good first step into it, if you've never done it before.

1:05:05I would say it's definitely better than nothing. Yeah, definitely better than having not gone. The truth is, I've been through a number of therapy bops over the years. And it's interesting because you kind of mature in your mental health over time in that you start to learn, like, these tricks work for me. These are things I do so that I am investing in my afternoon because if I do this now, I'll be less likely to lose my mind later and, you know, become the unreasonable jerk that once in a while I can. And as you do that, you really start to see, like, I've had bouts where I went back and thought, I need to be seeing a therapist again that weren't necessarily about depression and the major struggles, but were just about, I feel like I need to spend a little more time working on me.

1:05:56I can tell I'm not on my A game lately. I need some help with focus or I need some help with this. And truth is, I think everybody could benefit from it. Yeah, I mean, just last night, I probably stayed up too late putting together the Around the Horn Digest. shout out to the newsletter if you guys haven't been reading this around the horn digest i am working overtime trying to make this thing awesome i'm trying to i sent you a list of ridiculous stuff yesterday i i just i just collect i basically what i do is i just go to all of my typical sources i find everything that is cool and i just try to put it in one list because i'm such an info vore where i just want to i want to collect everything and put it in one place yeah But that need or whatever that is, is definitely something where I let that kind of take over and I could definitely use Ash, let's put it that way, to help with focus.

1:06:51And, you know, keeping things in perspective, right? Because all of this is moving so fast. The AI industry and how it's impacting the world is moving so fast that I feel like many people probably relate to this need of trying to, you know, perhaps get some control over it by trying to understand it all. And I really like what he said about how, you know, in the future, the AI is going to make a big impact on jobs and the way that we, especially here in America, view our self-worth through work. And if all of a sudden now there's less jobs or work changes, that's going to be a big change for a lot of people.

1:07:28Is it time to quit using the phrase in the future yet? Well, I think it's still a good framework for assessing like we are in the present and there are changes yet still to come. I would say we're entering the foothills. Okay, I like that. Yeah, I do think in the future is still right. I just, when you said it, I was like the future. Yeah, like July. And then I was like, that's so terrible. but yeah that's that's my two senses that i think is this very needed tool i can personally benefit from it so i'm definitely going to check it out uh i've liked daniel ever since i first learned about this tool yeah and i think it's awesome and we didn't go as in depth on why you don't want to use the current tools for this as much as possible but it comes down to ultimately this the sick of fancy thing and the the helpful uh assistant persona a helpful assistant is going to just help you do whatever you're trying to do, and that's not always what's best for you.

1:08:31Yeah, and it's been an interesting couple of years with all of the questions around that because I know there have been a number of lawsuits, there have been stories, they've hit OpenAI, it's hit Character AI, it's hit Google, it's probably hit just about everyone by now, at least to some extent. And I think there's a couple of things to know that the amount of cases that have gone really bad is, from what I understand, an extremely small percentage of things that have gone fine. I think that is important to acknowledge that that as a general rule for every one thing that goes terrible, there's there's a significant number that don't.

1:09:17but with that said these tools weren't designed for that I mean in retrospect it's easy to say they should have seen this use case coming but you know there are millions of use cases you can't see them all and I do feel like each of these companies has tried to take steps to remedy that I forgot all about opening eye for health until you mentioned it that like yeah that's a thing and there's yeah uh and and google's taken a number of actions there are resources in place and they're trying to do a better job of recognizing these things but the fact is you know it takes time they have to have data to pour through to verify they have to um i hope that it gets better over the years and i'm sure it will both both if you're using it the way people should not be right now as well as through these specialist tools and uh that are that are really going to zero in and be be good quality i hope um you know hopefully one day it solves mental health and is able i say solves you know solved solved it's like mental health is a benchmark and we're still climbing on it i think it would be really cool though you know it's people forget how far it goes.

1:10:41You know, I think a lot of people think mental health, oh, depression or a soldier that has PTSD. Those are like the two things people think of. And, you know, we're talking it impacts homelessness, drug use and alcoholism. It impacts your financial well-being. It impacts every single area of your life. It impacts your ability to be a good parent, to be a good spouse, to be a good friend, to be a good worker. spirals outward, right? Where like you, you know, if you're harming yourself or harming others or just causing disruptions for others because you're not treating this situation, then that impacts other people's mental health.

1:11:21It's like the spiraling, cascading thing. It's contagious. Yeah, exactly. When you think about those, all those tentacles that go out from the problems of mental health issues, as you tighten the, as like the feedback close the feedback loop or you close that feedback loop and the the cone of like accuracy improves and success is more grateful than it was it also impacts all of those other areas as well which you know uh is a absolutely a net good for society as a whole as much as it is for the individual getting the assistance i think for sure yeah so i'm very bullish on what daniel is doing i think they're going about it in absolutely the right way possible um and yeah i just want more people to know about it basically agreed well to everyone here watching thank you so much for joining us today it's been a lot of fun it's been a good conversation and it's funny it wasn't nearly our highest turnout but it was one of the most engaged chats we've ever had and i really appreciate every single one of you that that showed up that asked questions that, that had thoughtful ones.

1:12:33If you have followup questions, Grant, should they send them to where? Yeah. So you can do two things. So we look, we look at and personally read every comment on all the YouTube videos. So you could leave it as a comment if you're watching this later after the fact, or you can email team at the neuron daily.com with any questions. Just maybe put in the subject line, like question for the team at slingshot or questions for daniel with ash something like that even put therapy in the subject line because it'll be yeah need to search there you go yeah easy to chase them all down uh yeah and then we'll pass those on to that to ash um sorry to the team over at slingshot and we will uh try to get those answered for you and put it in the article that we'll write that goes with this excellent if you haven't yet please take just a minute to like and subscribe to the channel.

1:13:25We're super grateful you were here today and hope that we'll see you back again next time. We've got so much cool stuff in the works right now. We have so many great guests that are lining up by the day and, you know, maybe a little expansion here or there in the near future. We would love to make sure you're a part of that and around so that we can let you know what's next. But on that note, I guess, farewell Well, for now, humans, we'll see you next time. Thanks, everybody.

From the publisher

May is Mental Health Awareness Month, and as AI becomes more embedded in our daily lives, one of the biggest questions we face is whether these systems can responsibly support emotional and psychological well-being.


AI chatbots are increasingly being used for emotional support, but recent lawsuits faced by OpenAI and earlier ones targeting character.ai and Google's AI Overviews, as well as clinical reports, and internal research have raised valid concerns about their impact on vulnerable users.


What does it take to build an AI system specifically designed for mental health from the ground up? Is that even possible?


In this LIVE episode of The Neuron Podcast, Corey Noles and Grant Harvey speak with Daniel Reid Cahn, co-founder and CEO of Slingshot AI, about Ash, an AI application purpose-built for therapeutic support. Slingshot has raised $93M from a16z, Radical Ventures, and others to develop a foundation model for psychology trained on structured therapeutic conversations across modalities such as CBT, DBT, and psychodynamic therapy.


We discuss the limitations of general-purpose chatbots in mental health contexts, recent controversies surrounding AI and psychiatric risk, and what differentiates a system designed to provide structured therapeutic engagement compared to one being used in a way it was never intended to be. The conversation also explores a broader question: Can AI meaningfully expand access to high-quality mental health care, and where should clear boundaries remain? Or should we keep our counseling where we always have, on a couch with a box of Kleenex and a hug nearby?


🔗 Try Ash:

https://www.talktoash.com/


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