September 30, 2026
2026-09-30
https://www.youtube.com/watch?v=pvG0bcwumO0

[0:20] We go live in 10.
[0:34] Every morning the future moves faster.
[0:39] Every morning the future moves faster. The models, the money, the power, and
[0:43] The models, the money, the power, and
[0:43] The models, the money, the power, and the people building what comes next.
[1:18] from Austin, taxes to the world.
[1:25] AI news, real context. This is the
[1:29] AI news, real context. This is the Austin Wilson show. I'm Austin Wilson,
[1:32] Austin Wilson show. I'm Austin Wilson,
[1:32] Austin Wilson show. I'm Austin Wilson, your human in the loop.
[1:39] Good morning and welcome to the Austin
[1:42] Good morning and welcome to the Austin Wilson show. My name is Austin Wilson
[1:43] Wilson show. My name is Austin Wilson
[1:43] Wilson show. My name is Austin Wilson and I'm excited to jump into everything
[1:46] and I'm excited to jump into everything
[1:46] and I'm excited to jump into everything that's going on in AI news today and uh
[1:51] that's going on in AI news today and uh
[1:51] that's going on in AI news today and uh how it impacts you. We've got a uh busy
[1:53] how it impacts you. We've got a uh busy
[1:54] how it impacts you. We've got a uh busy docket for us. A lot of interesting
[1:56] docket for us. A lot of interesting
[1:56] docket for us. A lot of interesting things to talk about that happened in
[1:57] things to talk about that happened in
[1:57] things to talk about that happened in the past 24 hours. Uh CEOs visiting with
[2:01] the past 24 hours. Uh CEOs visiting with
[2:01] the past 24 hours. Uh CEOs visiting with Trump at the White House to discuss the
[2:03] Trump at the White House to discuss the
[2:03] Trump at the White House to discuss the AI accord. Uh we've got Open AI's dev
[2:06] AI accord. Uh we've got Open AI's dev
[2:06] AI accord. Uh we've got Open AI's dev day yesterday. A lot of uh interesting
[2:10] day yesterday. A lot of uh interesting
[2:10] day yesterday. A lot of uh interesting things that came out of there. Uh, Apple
[2:13] things that came out of there. Uh, Apple
[2:13] things that came out of there. Uh, Apple shelves an AI swap. Uh, looks like the
[2:16] shelves an AI swap. Uh, looks like the
[2:16] shelves an AI swap. Uh, looks like the US government is getting into the
[2:17] US government is getting into the
[2:17] US government is getting into the chatbot game. We've got, uh, Meta's AI
[2:22] chatbot game. We've got, uh, Meta's AI
[2:22] chatbot game. We've got, uh, Meta's AI agent that is going to be a an
[2:25] agent that is going to be a an
[2:25] agent that is going to be a an enterprise offering and, uh, a few more
[2:29] enterprise offering and, uh, a few more
[2:29] enterprise offering and, uh, a few more teasers, I think, as well, too. So,
[2:31] teasers, I think, as well, too. So,
[2:31] teasers, I think, as well, too. So, we'll jump into it. Uh first thing at
[2:33] we'll jump into it. Uh first thing at
[2:33] we'll jump into it. Uh first thing at the the top here um we saw yesterday uh
[2:37] the the top here um we saw yesterday uh
[2:37] the the top here um we saw yesterday uh President Trump hosted AI leaders for
[2:39] President Trump hosted AI leaders for
[2:39] President Trump hosted AI leaders for lunch at the White House. Uh afterward
[2:42] lunch at the White House. Uh afterward
[2:42] lunch at the White House. Uh afterward he and six of them signed the White
[2:44] he and six of them signed the White
[2:44] he and six of them signed the White House accord on super intelligence. uh
[2:47] House accord on super intelligence. uh
[2:47] House accord on super intelligence. uh Google's Sundar Pachai uh Elon Musk uh
[2:51] Google's Sundar Pachai uh Elon Musk uh
[2:51] Google's Sundar Pachai uh Elon Musk uh anthropics Dario Amade uh Mark
[2:54] anthropics Dario Amade uh Mark
[2:54] anthropics Dario Amade uh Mark Zuckerberg Jensen Huang and uh OpenAI
[2:58] Zuckerberg Jensen Huang and uh OpenAI
[2:58] Zuckerberg Jensen Huang and uh OpenAI President Greg Brockman were there uh
[3:01] President Greg Brockman were there uh
[3:01] President Greg Brockman were there uh the same day an executive order told
[3:03] the same day an executive order told
[3:03] the same day an executive order told federal agencies to stop saying
[3:05] federal agencies to stop saying
[3:05] federal agencies to stop saying artificial intelligence and and start
[3:07] artificial intelligence and and start
[3:07] artificial intelligence and and start saying super intelligence. So we've uh
[3:11] saying super intelligence. So we've uh
[3:11] saying super intelligence. So we've uh coined a new phrase here uh which is
[3:14] coined a new phrase here uh which is
[3:14] coined a new phrase here uh which is interesting. Um th this is a really
[3:17] interesting. Um th this is a really
[3:17] interesting. Um th this is a really interesting kind of take and in in
[3:20] interesting kind of take and in in
[3:20] interesting kind of take and in in perspective. I think it's a really great
[3:22] perspective. I think it's a really great
[3:22] perspective. I think it's a really great step forward for um AI as a technology
[3:26] step forward for um AI as a technology
[3:26] step forward for um AI as a technology for our country and um for everybody
[3:30] for our country and um for everybody
[3:30] for our country and um for everybody who's interested and and curious or
[3:33] who's interested and and curious or
[3:33] who's interested and and curious or concerned about what's happening with AI
[3:36] concerned about what's happening with AI
[3:36] concerned about what's happening with AI safety. This was a a a really good step
[3:38] safety. This was a a a really good step
[3:38] safety. This was a a a really good step forward to see um all of these AI
[3:42] forward to see um all of these AI
[3:42] forward to see um all of these AI leaders get together um and make a
[3:46] leaders get together um and make a
[3:46] leaders get together um and make a commitment uh to safety. Um you know it
[3:52] commitment uh to safety. Um you know it
[3:52] commitment uh to safety. Um you know it is voluntary. This is unforced. Um you
[3:56] is voluntary. This is unforced. Um you
[3:56] is voluntary. This is unforced. Um you know there are questions of um what
[3:59] know there are questions of um what
[3:59] know there are questions of um what happens if somebody does break the
[4:01] happens if somebody does break the
[4:01] happens if somebody does break the accord. Um, you know, those are things
[4:03] accord. Um, you know, those are things
[4:03] accord. Um, you know, those are things that we'll have to uh cover when when we
[4:06] that we'll have to uh cover when when we
[4:06] that we'll have to uh cover when when we come across them, but it it is a good
[4:09] come across them, but it it is a good
[4:09] come across them, but it it is a good step forward and seeing a a good faith
[4:11] step forward and seeing a a good faith
[4:12] step forward and seeing a a good faith effort for these folks to work together.
[4:14] effort for these folks to work together.
[4:14] effort for these folks to work together. Um, I saw a seating chart of everybody
[4:17] Um, I saw a seating chart of everybody
[4:17] Um, I saw a seating chart of everybody that was at the meeting and where they
[4:19] that was at the meeting and where they
[4:19] that was at the meeting and where they sat in relation to each other. Um, and
[4:22] sat in relation to each other. Um, and
[4:22] sat in relation to each other. Um, and there there have been kind of some
[4:24] there there have been kind of some
[4:24] there there have been kind of some rumors lately, maybe unfounded, that uh
[4:27] rumors lately, maybe unfounded, that uh
[4:27] rumors lately, maybe unfounded, that uh Daario and Anthropic are not on uh the
[4:30] Daario and Anthropic are not on uh the
[4:30] Daario and Anthropic are not on uh the best terms with the the Trump
[4:33] best terms with the the Trump
[4:33] best terms with the the Trump administration. And the seating chart
[4:36] administration. And the seating chart
[4:36] administration. And the seating chart showed the the two folks from Anthropic
[4:39] showed the the two folks from Anthropic
[4:39] showed the the two folks from Anthropic were sitting at the far ends of the
[4:41] were sitting at the far ends of the
[4:41] were sitting at the far ends of the table uh away from kind of all the
[4:44] table uh away from kind of all the
[4:44] table uh away from kind of all the action in the center. Take that for what
[4:46] action in the center. Take that for what
[4:46] action in the center. Take that for what it's worth. Um it it is nonetheless um
[4:51] it's worth. Um it it is nonetheless um
[4:51] it's worth. Um it it is nonetheless um we're seeing this progression
[4:54] we're seeing this progression
[4:54] we're seeing this progression uh over the past several weeks and
[4:56] uh over the past several weeks and
[4:56] uh over the past several weeks and months of um
[5:00] months of um
[5:00] months of um uh these frontier companies, these these
[5:03] uh these frontier companies, these these
[5:03] uh these frontier companies, these these AI companies taking the steps in the
[5:05] AI companies taking the steps in the
[5:05] AI companies taking the steps in the right direction to make their products
[5:07] right direction to make their products
[5:07] right direction to make their products more safer and to um really support each
[5:11] more safer and to um really support each
[5:11] more safer and to um really support each other in um safe AI development. And
[5:15] other in um safe AI development. And
[5:15] other in um safe AI development. And what I think is really cool about it,
[5:17] what I think is really cool about it,
[5:17] what I think is really cool about it, too, is it's um for the for the most
[5:20] too, is it's um for the for the most
[5:20] too, is it's um for the for the most part, I mean, it's it's imperfect,
[5:23] part, I mean, it's it's imperfect,
[5:23] part, I mean, it's it's imperfect, right? Um this did not happen in a clean
[5:27] right? Um this did not happen in a clean
[5:27] right? Um this did not happen in a clean way. We would have loved to not see any
[5:30] way. We would have loved to not see any
[5:30] way. We would have loved to not see any of these kind of safety uh events or or
[5:34] of these kind of safety uh events or or
[5:34] of these kind of safety uh events or or issues that have occurred over the s
[5:36] issues that have occurred over the s
[5:36] issues that have occurred over the s last several months, but um it's cool to
[5:39] last several months, but um it's cool to
[5:39] last several months, but um it's cool to see that the industry made these claims.
[5:41] see that the industry made these claims.
[5:42] see that the industry made these claims. you know, it was less than a month ago
[5:43] you know, it was less than a month ago
[5:43] you know, it was less than a month ago that Daario
[5:45] that Daario
[5:45] that Daario um wrote a blog post um calling to pace
[5:49] um wrote a blog post um calling to pace
[5:50] um wrote a blog post um calling to pace the frontier. Um and you know, a few
[5:53] the frontier. Um and you know, a few
[5:53] the frontier. Um and you know, a few weeks later, we have all of the AI
[5:55] weeks later, we have all of the AI
[5:55] weeks later, we have all of the AI leaders together discussing how to do
[5:58] leaders together discussing how to do
[5:58] leaders together discussing how to do that. Um still being able to move the
[6:01] that. Um still being able to move the
[6:01] that. Um still being able to move the technology forward, but do that in a
[6:03] technology forward, but do that in a
[6:03] technology forward, but do that in a safe way. So, really cool to see that.
[6:05] safe way. So, really cool to see that.
[6:05] safe way. So, really cool to see that. Um we'll see where this goes from here
[6:08] Um we'll see where this goes from here
[6:08] Um we'll see where this goes from here in terms of practical application.
[6:11] in terms of practical application.
[6:11] in terms of practical application. um what what this really means though
[6:13] um what what this really means though
[6:13] um what what this really means though and I think that the interesting thing
[6:15] and I think that the interesting thing
[6:15] and I think that the interesting thing is um hopefully we'll start seeing uh
[6:18] is um hopefully we'll start seeing uh
[6:18] is um hopefully we'll start seeing uh and just being able to
[6:21] and just being able to
[6:21] and just being able to um overall feel safe as AI and agents
[6:24] um overall feel safe as AI and agents
[6:24] um overall feel safe as AI and agents become more and more part of our
[6:26] become more and more part of our
[6:26] become more and more part of our day-to-day. Um having the peace of mind
[6:28] day-to-day. Um having the peace of mind
[6:28] day-to-day. Um having the peace of mind and and and knowing that uh agents
[6:31] and and and knowing that uh agents
[6:31] and and and knowing that uh agents aren't going to go rogue or you know are
[6:33] aren't going to go rogue or you know are
[6:34] aren't going to go rogue or you know are they getting into sensitive information
[6:36] they getting into sensitive information
[6:36] they getting into sensitive information that I don't want them to. um how do how
[6:40] that I don't want them to. um how do how
[6:40] that I don't want them to. um how do how do we make this technology really
[6:41] do we make this technology really
[6:41] do we make this technology really helpful and gamechanging for us as a
[6:45] helpful and gamechanging for us as a
[6:45] helpful and gamechanging for us as a society and um just humans in general um
[6:50] society and um just humans in general um
[6:50] society and um just humans in general um and yet not um you know put ourselves in
[6:55] and yet not um you know put ourselves in
[6:55] and yet not um you know put ourselves in danger. So really good to see um we'll
[6:57] danger. So really good to see um we'll
[6:58] danger. So really good to see um we'll see where kind of this leads and and and
[7:00] see where kind of this leads and and and
[7:00] see where kind of this leads and and and and what happens next. Uh also yesterday
[7:04] and what happens next. Uh also yesterday
[7:04] and what happens next. Uh also yesterday was OpenAI's uh dev day where they
[7:07] was OpenAI's uh dev day where they
[7:07] was OpenAI's uh dev day where they launched their personal uh agents called
[7:12] launched their personal uh agents called
[7:12] launched their personal uh agents called dots. Uh really funny because their
[7:16] dots. Uh really funny because their
[7:16] dots. Uh really funny because their design uh for dots looks exactly like
[7:20] design uh for dots looks exactly like
[7:20] design uh for dots looks exactly like the Grockbot personal agent uh coming
[7:23] the Grockbot personal agent uh coming
[7:23] the Grockbot personal agent uh coming out of SpaceX AI. Uh but um good to see
[7:27] out of SpaceX AI. Uh but um good to see
[7:27] out of SpaceX AI. Uh but um good to see OpenAI getting into the chatbot game. Uh
[7:30] OpenAI getting into the chatbot game. Uh
[7:30] OpenAI getting into the chatbot game. Uh these are always on agents that live
[7:32] these are always on agents that live
[7:32] these are always on agents that live inside Chat GPT. Uh each one has its own
[7:36] inside Chat GPT. Uh each one has its own
[7:36] inside Chat GPT. Uh each one has its own cloud computer and access to more than
[7:39] cloud computer and access to more than
[7:39] cloud computer and access to more than 4,000 applications. Um if you don't know
[7:42] 4,000 applications. Um if you don't know
[7:42] 4,000 applications. Um if you don't know what's what's neat about these personal
[7:44] what's what's neat about these personal
[7:44] what's what's neat about these personal apps is uh or these personal agents is
[7:48] apps is uh or these personal agents is
[7:48] apps is uh or these personal agents is um they can do a lot of things on your
[7:50] um they can do a lot of things on your
[7:50] um they can do a lot of things on your your behalf. And so when when um you
[7:53] your behalf. And so when when um you
[7:53] your behalf. And so when when um you know OpenAI launches a personal agent
[7:56] know OpenAI launches a personal agent
[7:56] know OpenAI launches a personal agent their their dots as they're calling them
[7:58] their their dots as they're calling them
[7:58] their their dots as they're calling them when it says that they um come with
[8:01] when it says that they um come with
[8:01] when it says that they um come with their own cloud computer it means that
[8:03] their own cloud computer it means that
[8:03] their own cloud computer it means that they have a a virtual computer that that
[8:06] they have a a virtual computer that that
[8:06] they have a a virtual computer that that these agents work on right so 24/7 um
[8:11] these agents work on right so 24/7 um
[8:11] these agents work on right so 24/7 um these agents are working on a virtual
[8:14] these agents are working on a virtual
[8:14] these agents are working on a virtual computer in a data center somewhere and
[8:16] computer in a data center somewhere and
[8:16] computer in a data center somewhere and they can work on your behalf which is
[8:18] they can work on your behalf which is
[8:18] they can work on your behalf which is neat. Um, I I haven't gotten a chance to
[8:21] neat. Um, I I haven't gotten a chance to
[8:22] neat. Um, I I haven't gotten a chance to test out Dots yet. Um but the other
[8:26] test out Dots yet. Um but the other
[8:26] test out Dots yet. Um but the other personal agents, Muse or Grockbot or or
[8:29] personal agents, Muse or Grockbot or or
[8:29] personal agents, Muse or Grockbot or or Instinct, um most of these allow you to
[8:34] Instinct, um most of these allow you to
[8:34] Instinct, um most of these allow you to um kind of guide your agent, guide your
[8:36] um kind of guide your agent, guide your
[8:36] um kind of guide your agent, guide your bot on performing tasks that you would
[8:39] bot on performing tasks that you would
[8:39] bot on performing tasks that you would on a on a computer, which is really
[8:41] on a on a computer, which is really
[8:41] on a on a computer, which is really helpful in terms of uh improving
[8:43] helpful in terms of uh improving
[8:44] helpful in terms of uh improving productivity and having an agent that
[8:46] productivity and having an agent that
[8:46] productivity and having an agent that can do um you know, meaningful work work
[8:50] can do um you know, meaningful work work
[8:50] can do um you know, meaningful work work for you. So really cool to see ChatGBT
[8:53] for you. So really cool to see ChatGBT
[8:53] for you. So really cool to see ChatGBT kind of getting into the space. Um they
[8:55] kind of getting into the space. Um they
[8:55] kind of getting into the space. Um they also released ChatGBT 6.1 Soul um which
[9:00] also released ChatGBT 6.1 Soul um which
[9:00] also released ChatGBT 6.1 Soul um which and and I think this is an answer to
[9:04] and and I think this is an answer to
[9:04] and and I think this is an answer to some extent to um the Opus 5.5 release
[9:08] some extent to um the Opus 5.5 release
[9:08] some extent to um the Opus 5.5 release from Anthropic recently. the the goal
[9:12] from Anthropic recently. the the goal
[9:12] from Anthropic recently. the the goal with uh GPT 6.1 Soul is uh or or the key
[9:16] with uh GPT 6.1 Soul is uh or or the key
[9:16] with uh GPT 6.1 Soul is uh or or the key takeaway probably is it's um a fifth of
[9:19] takeaway probably is it's um a fifth of
[9:19] takeaway probably is it's um a fifth of the cost um and nearly the same
[9:22] the cost um and nearly the same
[9:22] the cost um and nearly the same intelligence level of the top AI models
[9:25] intelligence level of the top AI models
[9:25] intelligence level of the top AI models from Chat GPT. So um really interesting
[9:28] from Chat GPT. So um really interesting
[9:28] from Chat GPT. So um really interesting to see what they're working on here. Um
[9:31] to see what they're working on here. Um
[9:32] to see what they're working on here. Um and and and Open AI um they are kind of
[9:36] and and and Open AI um they are kind of
[9:36] and and and Open AI um they are kind of doing this uh as as they move into of
[9:39] doing this uh as as they move into of
[9:39] doing this uh as as they move into of course they have this dev day every year
[9:41] course they have this dev day every year
[9:41] course they have this dev day every year but they are making these announcements
[9:44] but they are making these announcements
[9:44] but they are making these announcements as they move towards an IPO. Um they're
[9:48] as they move towards an IPO. Um they're
[9:48] as they move towards an IPO. Um they're they're targeting a $1.4 trillion
[9:51] they're targeting a $1.4 trillion
[9:51] they're targeting a $1.4 trillion valuation. Uh they are making an effort
[9:54] valuation. Uh they are making an effort
[9:54] valuation. Uh they are making an effort to boost their revenue as much as
[9:56] to boost their revenue as much as
[9:56] to boost their revenue as much as possible in competition with Anthropic
[9:59] possible in competition with Anthropic
[9:59] possible in competition with Anthropic which is great to see. We love the
[10:01] which is great to see. We love the
[10:01] which is great to see. We love the competition, but it does mean some some
[10:03] competition, but it does mean some some
[10:03] competition, but it does mean some some changes on the horizon. So, not only are
[10:05] changes on the horizon. So, not only are
[10:05] changes on the horizon. So, not only are they releasing the personal agent um
[10:08] they releasing the personal agent um
[10:08] they releasing the personal agent um they are releasing the new model, they
[10:11] they are releasing the new model, they
[10:11] they are releasing the new model, they also have made some changes to their
[10:14] also have made some changes to their
[10:14] also have made some changes to their subscription model. And so, uh kind of
[10:17] subscription model. And so, uh kind of
[10:17] subscription model. And so, uh kind of interesting for the topend um users of
[10:22] interesting for the topend um users of
[10:22] interesting for the topend um users of the subscription model. Prior to
[10:25] the subscription model. Prior to
[10:25] the subscription model. Prior to yesterday, we had ChatGBT Pro, which was
[10:28] yesterday, we had ChatGBT Pro, which was
[10:28] yesterday, we had ChatGBT Pro, which was a $200 a month subscription plan. It
[10:32] a $200 a month subscription plan. It
[10:32] a $200 a month subscription plan. It gave you 20x the uh usage levels from a
[10:37] gave you 20x the uh usage levels from a
[10:37] gave you 20x the uh usage levels from a a standard uh subs subscription. Uh they
[10:42] a standard uh subs subscription. Uh they
[10:42] a standard uh subs subscription. Uh they announced yesterday that that usage will
[10:45] announced yesterday that that usage will
[10:45] announced yesterday that that usage will be cut in half. uh the prices will not
[10:47] be cut in half. uh the prices will not
[10:47] be cut in half. uh the prices will not be changed, but the usage will be cut in
[10:49] be changed, but the usage will be cut in
[10:49] be changed, but the usage will be cut in half to uh 10x uh base usage. Uh which
[10:54] half to uh 10x uh base usage. Uh which
[10:54] half to uh 10x uh base usage. Uh which means that essentially you're you're
[10:56] means that essentially you're you're
[10:56] means that essentially you're you're paying twice as much for a similar
[11:00] paying twice as much for a similar
[11:00] paying twice as much for a similar uh product. Um that that being said,
[11:03] uh product. Um that that being said,
[11:03] uh product. Um that that being said, their claim is that with the release of
[11:06] their claim is that with the release of
[11:06] their claim is that with the release of GPT 6.1 Soul, uh you'll get five times
[11:12] GPT 6.1 Soul, uh you'll get five times
[11:12] GPT 6.1 Soul, uh you'll get five times more output. So, it's actually a value
[11:15] more output. So, it's actually a value
[11:15] more output. So, it's actually a value savings there. We'll see how that
[11:16] savings there. We'll see how that
[11:16] savings there. We'll see how that actually works out. Um, I know a lot of
[11:20] actually works out. Um, I know a lot of
[11:20] actually works out. Um, I know a lot of uh developers and uh AI folks are a
[11:23] uh developers and uh AI folks are a
[11:23] uh developers and uh AI folks are a little bit frustrated with that, but um
[11:26] little bit frustrated with that, but um
[11:26] little bit frustrated with that, but um OpenAI is doing its best to make right
[11:28] OpenAI is doing its best to make right
[11:28] OpenAI is doing its best to make right by giving out 62,500
[11:31] by giving out 62,500
[11:31] by giving out 62,500 free credits. And they're also um they
[11:35] free credits. And they're also um they
[11:35] free credits. And they're also um they also announced yesterday, this is a
[11:37] also announced yesterday, this is a
[11:37] also announced yesterday, this is a little bit of an aside, but they they
[11:38] little bit of an aside, but they they
[11:38] little bit of an aside, but they they announced a new tier above the $200
[11:42] announced a new tier above the $200
[11:42] announced a new tier above the $200 plan, which is a $500 plan uh that will
[11:46] plan, which is a $500 plan uh that will
[11:46] plan, which is a $500 plan uh that will give users, I believe it's 25x
[11:50] give users, I believe it's 25x
[11:50] give users, I believe it's 25x uh standard usage. So, uh OpenAI
[11:53] uh standard usage. So, uh OpenAI
[11:53] uh standard usage. So, uh OpenAI definitely making some moves here. I
[11:55] definitely making some moves here. I
[11:55] definitely making some moves here. I think the most exciting thing about this
[11:57] think the most exciting thing about this
[11:57] think the most exciting thing about this and what I'd love to see continuously
[11:58] and what I'd love to see continuously
[11:58] and what I'd love to see continuously and as as as fast as this market is
[12:01] and as as as fast as this market is
[12:01] and as as as fast as this market is moving and and kind of the comforting
[12:03] moving and and kind of the comforting
[12:03] moving and and kind of the comforting thing when we talk about AI safety, we
[12:05] thing when we talk about AI safety, we
[12:05] thing when we talk about AI safety, we talk about AI progress, we talk about
[12:07] talk about AI progress, we talk about
[12:07] talk about AI progress, we talk about new technology and and what's happening
[12:09] new technology and and what's happening
[12:09] new technology and and what's happening from here. Um the the greatest thing is
[12:13] from here. Um the the greatest thing is
[12:13] from here. Um the the greatest thing is the competition that we're seeing. And
[12:14] the competition that we're seeing. And
[12:14] the competition that we're seeing. And so um man, within the last week or a
[12:20] so um man, within the last week or a
[12:20] so um man, within the last week or a little over a week, we've seen four or
[12:22] little over a week, we've seen four or
[12:22] little over a week, we've seen four or five new models released. We've seen um
[12:27] five new models released. We've seen um
[12:27] five new models released. We've seen um you know models released from smaller
[12:30] you know models released from smaller
[12:30] you know models released from smaller labs or smaller frontier companies. Um
[12:33] labs or smaller frontier companies. Um
[12:33] labs or smaller frontier companies. Um we've seen personal agents launch. We've
[12:36] we've seen personal agents launch. We've
[12:36] we've seen personal agents launch. We've seen uh new subscription offerings.
[12:38] seen uh new subscription offerings.
[12:38] seen uh new subscription offerings. We've just seen so much stuff that a
[12:41] We've just seen so much stuff that a
[12:41] We've just seen so much stuff that a year ago any one of these would have
[12:43] year ago any one of these would have
[12:43] year ago any one of these would have been huge news, huge progress. Um and
[12:46] been huge news, huge progress. Um and
[12:46] been huge news, huge progress. Um and and you know we get half a dozen or a
[12:49] and you know we get half a dozen or a
[12:49] and you know we get half a dozen or a dozen of these in a in a week is amazing
[12:51] dozen of these in a in a week is amazing
[12:51] dozen of these in a in a week is amazing to see and to see that progress move
[12:53] to see and to see that progress move
[12:53] to see and to see that progress move forward uh is is wonderful. And then um
[12:57] forward uh is is wonderful. And then um
[12:57] forward uh is is wonderful. And then um it it it's interesting to see some of
[12:59] it it it's interesting to see some of
[12:59] it it it's interesting to see some of the um economic footprint as well too
[13:02] the um economic footprint as well too
[13:02] the um economic footprint as well too where um these IPOs are going to land
[13:05] where um these IPOs are going to land
[13:05] where um these IPOs are going to land from Anthropic and from uh Open AI when
[13:09] from Anthropic and from uh Open AI when
[13:09] from Anthropic and from uh Open AI when they actually do go public and then what
[13:12] they actually do go public and then what
[13:12] they actually do go public and then what that means for the public markets and
[13:13] that means for the public markets and
[13:13] that means for the public markets and the economy uh from a broader
[13:16] the economy uh from a broader
[13:16] the economy uh from a broader standpoint. So uh excited to see that
[13:19] standpoint. So uh excited to see that
[13:19] standpoint. So uh excited to see that from OpenAI uh Dev Days yesterday.
[13:23] from OpenAI uh Dev Days yesterday.
[13:23] from OpenAI uh Dev Days yesterday. Um, Mac Rumors reports that Bloomberg's
[13:27] Um, Mac Rumors reports that Bloomberg's
[13:27] Um, Mac Rumors reports that Bloomberg's Mark German reported Tuesday that Apple
[13:29] Mark German reported Tuesday that Apple
[13:29] Mark German reported Tuesday that Apple drew up a plan to lay off about 5,000
[13:33] drew up a plan to lay off about 5,000
[13:33] drew up a plan to lay off about 5,000 Apple Care support workers uh and hand
[13:36] Apple Care support workers uh and hand
[13:36] Apple Care support workers uh and hand their work to uh AI phone and web
[13:39] their work to uh AI phone and web
[13:39] their work to uh AI phone and web agents. Um, apparently great news, Apple
[13:43] agents. Um, apparently great news, Apple
[13:43] agents. Um, apparently great news, Apple has since put that plan on hold um and
[13:47] has since put that plan on hold um and
[13:47] has since put that plan on hold um and has not confirmed that yet. Uh this is
[13:50] has not confirmed that yet. Uh this is
[13:50] has not confirmed that yet. Uh this is this is interesting to see with um and
[13:55] this is interesting to see with um and
[13:55] this is interesting to see with um and and maybe not something new. We we've
[13:57] and maybe not something new. We we've
[13:57] and maybe not something new. We we've kind of seen this type of work be um
[14:02] kind of seen this type of work be um
[14:02] kind of seen this type of work be um AIified or or or displaced by AI
[14:05] AIified or or or displaced by AI
[14:05] AIified or or or displaced by AI probably more than any other work. And I
[14:07] probably more than any other work. And I
[14:07] probably more than any other work. And I think interestingly enough a lot of the
[14:09] think interestingly enough a lot of the
[14:09] think interestingly enough a lot of the predictions early on we talked about
[14:11] predictions early on we talked about
[14:11] predictions early on we talked about Dario Amade the CEO of Anthropic
[14:15] Dario Amade the CEO of Anthropic
[14:15] Dario Amade the CEO of Anthropic um he called maybe 18 months ago that uh
[14:18] um he called maybe 18 months ago that uh
[14:18] um he called maybe 18 months ago that uh all software developers would be out of
[14:21] all software developers would be out of
[14:21] all software developers would be out of work in the next 12 to 5 12 months to 5
[14:23] work in the next 12 to 5 12 months to 5
[14:23] work in the next 12 to 5 12 months to 5 years right uh and and so a lot of
[14:26] years right uh and and so a lot of
[14:26] years right uh and and so a lot of predictions not um maybe this was an
[14:28] predictions not um maybe this was an
[14:28] predictions not um maybe this was an obvious one so you didn't hear as much
[14:30] obvious one so you didn't hear as much
[14:30] obvious one so you didn't hear as much about it but um I think
[14:33] about it but um I think
[14:33] about it but um I think call center customer service folks this
[14:36] call center customer service folks this
[14:36] call center customer service folks this is one of the biggest um displaced work
[14:41] is one of the biggest um displaced work
[14:41] is one of the biggest um displaced work groups I would say from an AI standpoint
[14:44] groups I would say from an AI standpoint
[14:44] groups I would say from an AI standpoint where the the AI use case just lines up
[14:47] where the the AI use case just lines up
[14:47] where the the AI use case just lines up uh and and capability is um you know
[14:51] uh and and capability is um you know
[14:51] uh and and capability is um you know fits really well such that it it it can
[14:54] fits really well such that it it it can
[14:54] fits really well such that it it it can do that job. Um, you know, I was talking
[14:57] do that job. Um, you know, I was talking
[14:57] do that job. Um, you know, I was talking to somebody a couple weeks ago, uh, at a
[15:00] to somebody a couple weeks ago, uh, at a
[15:00] to somebody a couple weeks ago, uh, at a large, uh, tech company with a call
[15:03] large, uh, tech company with a call
[15:03] large, uh, tech company with a call center where they, you know, reduce
[15:04] center where they, you know, reduce
[15:04] center where they, you know, reduce headcount by 25% because they were able
[15:06] headcount by 25% because they were able
[15:06] headcount by 25% because they were able to not replace the reps with voice
[15:10] to not replace the reps with voice
[15:10] to not replace the reps with voice agents, but create efficiencies with AI
[15:13] agents, but create efficiencies with AI
[15:13] agents, but create efficiencies with AI that meant they didn't need as many
[15:15] that meant they didn't need as many
[15:15] that meant they didn't need as many people in there. Um so it's just
[15:18] people in there. Um so it's just
[15:18] people in there. Um so it's just interesting to see this progress um and
[15:21] interesting to see this progress um and
[15:22] interesting to see this progress um and and how it works out and how the
[15:24] and how it works out and how the
[15:24] and how it works out and how the transition is going to work and who will
[15:26] transition is going to work and who will
[15:26] transition is going to work and who will be impacted there. Um obviously um you
[15:31] be impacted there. Um obviously um you
[15:31] be impacted there. Um obviously um you know great to see Apple hold on to this
[15:33] know great to see Apple hold on to this
[15:33] know great to see Apple hold on to this and what I would love to see what would
[15:35] and what I would love to see what would
[15:35] and what I would love to see what would be amazing is you know especially large
[15:37] be amazing is you know especially large
[15:37] be amazing is you know especially large companies like Apple how do they retool
[15:40] companies like Apple how do they retool
[15:40] companies like Apple how do they retool um how do they um uh educate these folks
[15:44] um how do they um uh educate these folks
[15:44] um how do they um uh educate these folks and put them to work in other areas
[15:47] and put them to work in other areas
[15:47] and put them to work in other areas where uh empowered with AI uh they are
[15:51] where uh empowered with AI uh they are
[15:51] where uh empowered with AI uh they are 10x you know outputters of of what they
[15:54] 10x you know outputters of of what they
[15:54] 10x you know outputters of of what they were before. So, um, hoping to see more
[15:57] were before. So, um, hoping to see more
[15:57] were before. So, um, hoping to see more of that. I think it's, you know, in
[16:00] of that. I think it's, you know, in
[16:00] of that. I think it's, you know, in terms of the retooling, this could be a
[16:02] terms of the retooling, this could be a
[16:02] terms of the retooling, this could be a huge, um, benefit and, and obviously,
[16:06] huge, um, benefit and, and obviously,
[16:06] huge, um, benefit and, and obviously, uh, you know, really good from a, uh, PR
[16:10] uh, you know, really good from a, uh, PR
[16:10] uh, you know, really good from a, uh, PR perspective if, if Apple and other big
[16:12] perspective if, if Apple and other big
[16:12] perspective if, if Apple and other big corporations can, uh, um, you know, help
[16:16] corporations can, uh, um, you know, help
[16:16] corporations can, uh, um, you know, help keep some of these workers and train
[16:18] keep some of these workers and train
[16:18] keep some of these workers and train them up. I think uh the interesting
[16:20] them up. I think uh the interesting
[16:20] them up. I think uh the interesting thing and and stuff that we're seeing in
[16:21] thing and and stuff that we're seeing in
[16:21] thing and and stuff that we're seeing in the startup community is the um
[16:26] the startup community is the um
[16:26] the startup community is the um uh the the output with AI means that
[16:29] uh the the output with AI means that
[16:29] uh the the output with AI means that we're working much more. We're able to
[16:31] we're working much more. We're able to
[16:31] we're working much more. We're able to produce a lot more than we could and um
[16:36] produce a lot more than we could and um
[16:36] produce a lot more than we could and um and that's exciting. uh if if you're
[16:39] and that's exciting. uh if if you're
[16:39] and that's exciting. uh if if you're ambitious and looking to go after it,
[16:41] ambitious and looking to go after it,
[16:41] ambitious and looking to go after it, how do we encourage other folks um that
[16:45] how do we encourage other folks um that
[16:45] how do we encourage other folks um that are getting displaced to enjoy that
[16:48] are getting displaced to enjoy that
[16:48] are getting displaced to enjoy that excitement as well too and see what they
[16:50] excitement as well too and see what they
[16:50] excitement as well too and see what they can create? For instance, case in point,
[16:53] can create? For instance, case in point,
[16:53] can create? For instance, case in point, this this show would not have been
[16:55] this this show would not have been
[16:55] this this show would not have been possible without the power of AI. This
[16:58] possible without the power of AI. This
[16:58] possible without the power of AI. This is something that uh it would have taken
[17:00] is something that uh it would have taken
[17:00] is something that uh it would have taken a team and tens of thousands of dollars
[17:02] a team and tens of thousands of dollars
[17:02] a team and tens of thousands of dollars to create um maybe just a few years ago
[17:06] to create um maybe just a few years ago
[17:06] to create um maybe just a few years ago and probably impossible at least a year
[17:08] and probably impossible at least a year
[17:08] and probably impossible at least a year ago. Uh and and now we're able to do
[17:11] ago. Uh and and now we're able to do
[17:11] ago. Uh and and now we're able to do this um all with the power of AI. So
[17:15] this um all with the power of AI. So
[17:15] this um all with the power of AI. So really exciting stuff. We love to see
[17:17] really exciting stuff. We love to see
[17:17] really exciting stuff. We love to see that. um and uh just excited for the for
[17:21] that. um and uh just excited for the for
[17:22] that. um and uh just excited for the for the future and hope to see more um
[17:24] the future and hope to see more um
[17:24] the future and hope to see more um corporations find good places for their
[17:28] corporations find good places for their
[17:28] corporations find good places for their workers. Okay. Um moving on to the next
[17:31] workers. Okay. Um moving on to the next
[17:31] workers. Okay. Um moving on to the next story. Uh the White House launched
[17:33] story. Uh the White House launched
[17:33] story. Uh the White House launched America.gov
[17:35] America.gov
[17:35] America.gov on Tuesday. Uh this is an AI chatbot
[17:40] on Tuesday. Uh this is an AI chatbot
[17:40] on Tuesday. Uh this is an AI chatbot meant to answer questions across roughly
[17:42] meant to answer questions across roughly
[17:42] meant to answer questions across roughly 29,000
[17:44] 29,000
[17:44] 29,000 federal websites. Uh the
[17:46] federal websites. Uh the
[17:46] federal websites. Uh the administration's chief design officer uh
[17:49] administration's chief design officer uh
[17:49] administration's chief design officer uh Joe Gibbia said it runs on Google's
[17:51] Joe Gibbia said it runs on Google's
[17:51] Joe Gibbia said it runs on Google's Gemini and XAI's Grock. Um Joe Gbia is
[17:55] Gemini and XAI's Grock. Um Joe Gbia is
[17:55] Gemini and XAI's Grock. Um Joe Gbia is uh Airbnb formerly and is the uh chief
[18:00] uh Airbnb formerly and is the uh chief
[18:00] uh Airbnb formerly and is the uh chief design officer for the federal
[18:02] design officer for the federal
[18:02] design officer for the federal government and um I haven't gotten a
[18:05] government and um I haven't gotten a
[18:05] government and um I haven't gotten a chance to play around with America.gov
[18:07] chance to play around with America.gov
[18:07] chance to play around with America.gov of quite yet, but it's been interesting
[18:10] of quite yet, but it's been interesting
[18:10] of quite yet, but it's been interesting to see a lot of um
[18:13] to see a lot of um
[18:13] to see a lot of um just technology forward stuff coming out
[18:15] just technology forward stuff coming out
[18:15] just technology forward stuff coming out of the administration and um seeing that
[18:19] of the administration and um seeing that
[18:19] of the administration and um seeing that is interesting. Um it's a little bit
[18:23] is interesting. Um it's a little bit
[18:23] is interesting. Um it's a little bit foreign. I think we think of the federal
[18:25] foreign. I think we think of the federal
[18:25] foreign. I think we think of the federal government as lagging and um and and not
[18:31] government as lagging and um and and not
[18:31] government as lagging and um and and not really on the forefront of technology.
[18:33] really on the forefront of technology.
[18:33] really on the forefront of technology. And so to see um the government come out
[18:37] And so to see um the government come out
[18:37] And so to see um the government come out with the chatbot is awesome. It's great.
[18:39] with the chatbot is awesome. It's great.
[18:39] with the chatbot is awesome. It's great. We'd love to see that and and hopefully
[18:41] We'd love to see that and and hopefully
[18:41] We'd love to see that and and hopefully it helps a lot of people. 29,000
[18:44] it helps a lot of people. 29,000
[18:44] it helps a lot of people. 29,000 federal government websites and you can
[18:46] federal government websites and you can
[18:46] federal government websites and you can search across all of them. So that's
[18:47] search across all of them. So that's
[18:47] search across all of them. So that's that's powerful. Um it looks like two
[18:50] that's powerful. Um it looks like two
[18:50] that's powerful. Um it looks like two commercial AI models are now uh on the
[18:52] commercial AI models are now uh on the
[18:52] commercial AI models are now uh on the front door of the federal government. So
[18:55] front door of the federal government. So
[18:55] front door of the federal government. So that would be Gemini and then um SpaceX
[18:59] that would be Gemini and then um SpaceX
[18:59] that would be Gemini and then um SpaceX AI's Grock. So, those are the the the
[19:01] AI's Grock. So, those are the the the
[19:01] AI's Grock. So, those are the the the models that are powering this. Um, Trump
[19:04] models that are powering this. Um, Trump
[19:04] models that are powering this. Um, Trump said once uh it it's one front door for
[19:07] said once uh it it's one front door for
[19:08] said once uh it it's one front door for every single question and that it cannot
[19:11] every single question and that it cannot
[19:11] every single question and that it cannot in theory be hacked into. Good to know.
[19:14] in theory be hacked into. Good to know.
[19:14] in theory be hacked into. Good to know. Let's hope that theory holds up. Um, GSA
[19:17] Let's hope that theory holds up. Um, GSA
[19:17] Let's hope that theory holds up. Um, GSA and the National Design Studio built the
[19:21] and the National Design Studio built the
[19:21] and the National Design Studio built the tool. Uh, it draws on about 29,000
[19:23] tool. Uh, it draws on about 29,000
[19:23] tool. Uh, it draws on about 29,000 federal sites. Uh, filling forms is
[19:27] federal sites. Uh, filling forms is
[19:27] federal sites. Uh, filling forms is slated for 2027.
[19:30] slated for 2027.
[19:30] slated for 2027. uh which that would be amazing. Okay.
[19:33] uh which that would be amazing. Okay.
[19:33] uh which that would be amazing. Okay. So, um so so hopefully with this tool
[19:38] So, um so so hopefully with this tool
[19:38] So, um so so hopefully with this tool and and you know, I don't know if
[19:40] and and you know, I don't know if
[19:40] and and you know, I don't know if anybody else does this, but I
[19:41] anybody else does this, but I
[19:41] anybody else does this, but I immediately go to how does this tool
[19:44] immediately go to how does this tool
[19:44] immediately go to how does this tool file my taxes for me and will it be able
[19:47] file my taxes for me and will it be able
[19:47] file my taxes for me and will it be able to do that? Uh um and do a good job of
[19:51] to do that? Uh um and do a good job of
[19:51] to do that? Uh um and do a good job of that uh and will we be able to trust it?
[19:54] that uh and will we be able to trust it?
[19:54] that uh and will we be able to trust it? that's immediately where my mind goes,
[19:56] that's immediately where my mind goes,
[19:56] that's immediately where my mind goes, but I'm sure there's um hundreds if not
[19:59] but I'm sure there's um hundreds if not
[19:59] but I'm sure there's um hundreds if not thousands of other use cases that that
[20:01] thousands of other use cases that that
[20:01] thousands of other use cases that that will be uh beneficial. Um so really
[20:05] will be uh beneficial. Um so really
[20:05] will be uh beneficial. Um so really interesting to see that. Really
[20:06] interesting to see that. Really
[20:06] interesting to see that. Really interesting to see the government um
[20:09] interesting to see the government um
[20:10] interesting to see the government um kind of leading the way. Um
[20:14] Trump saying that it cannot be hacked.
[20:17] Trump saying that it cannot be hacked. Um
[20:20] hopefully that's the case. I'm sure I'm
[20:21] hopefully that's the case. I'm sure I'm sure it is. Um, it seems like a simple
[20:25] sure it is. Um, it seems like a simple
[20:25] sure it is. Um, it seems like a simple maybe rag chat or or chatbot on on top
[20:28] maybe rag chat or or chatbot on on top
[20:28] maybe rag chat or or chatbot on on top of uh the federal government's uh
[20:30] of uh the federal government's uh
[20:30] of uh the federal government's uh website offerings where you'd be able to
[20:32] website offerings where you'd be able to
[20:32] website offerings where you'd be able to ask any question, get an answer back.
[20:34] ask any question, get an answer back.
[20:34] ask any question, get an answer back. Um, that seems fairly safe. So, so
[20:37] Um, that seems fairly safe. So, so
[20:37] Um, that seems fairly safe. So, so hopefully that's the case, but hopefully
[20:38] hopefully that's the case, but hopefully
[20:38] hopefully that's the case, but hopefully we've seen an impact to um you know, I
[20:41] we've seen an impact to um you know, I
[20:41] we've seen an impact to um you know, I think over the years technology has
[20:42] think over the years technology has
[20:42] think over the years technology has really impacted how government works and
[20:46] really impacted how government works and
[20:46] really impacted how government works and uh maybe the government's been slow to
[20:49] uh maybe the government's been slow to
[20:49] uh maybe the government's been slow to um to adopt a lot of the technology, but
[20:53] um to adopt a lot of the technology, but
[20:53] um to adopt a lot of the technology, but um for instance, I think the last time I
[20:54] um for instance, I think the last time I
[20:54] um for instance, I think the last time I had to do something was getting a a new
[20:57] had to do something was getting a a new
[20:57] had to do something was getting a a new driver's license. Uh and and I I
[20:59] driver's license. Uh and and I I
[21:00] driver's license. Uh and and I I remember in the early day, you know,
[21:02] remember in the early day, you know,
[21:02] remember in the early day, you know, like in high school sitting at the DMV
[21:05] like in high school sitting at the DMV
[21:05] like in high school sitting at the DMV for uh you know, 3 4 hours waiting for
[21:08] for uh you know, 3 4 hours waiting for
[21:08] for uh you know, 3 4 hours waiting for your name to be called and get up there
[21:10] your name to be called and get up there
[21:10] your name to be called and get up there and now you can go, you know, schedule a
[21:13] and now you can go, you know, schedule a
[21:13] and now you can go, you know, schedule a time and put your name on a list online
[21:15] time and put your name on a list online
[21:15] time and put your name on a list online and and then you show up in 10 15
[21:18] and and then you show up in 10 15
[21:18] and and then you show up in 10 15 minutes and you're in. So, um you know,
[21:20] minutes and you're in. So, um you know,
[21:20] minutes and you're in. So, um you know, hopefully we see more efficiencies like
[21:22] hopefully we see more efficiencies like
[21:22] hopefully we see more efficiencies like that and and more tools, more advance
[21:24] that and and more tools, more advance
[21:24] that and and more tools, more advance advancements. And I think just in
[21:26] advancements. And I think just in
[21:26] advancements. And I think just in general um um you know seeing the
[21:30] general um um you know seeing the
[21:30] general um um you know seeing the government trying to push this forward
[21:32] government trying to push this forward
[21:32] government trying to push this forward whe whether or not it works I think is a
[21:35] whe whether or not it works I think is a
[21:35] whe whether or not it works I think is a uh is a positive thing um and hopefully
[21:38] uh is a positive thing um and hopefully
[21:38] uh is a positive thing um and hopefully uh can create some some more
[21:39] uh can create some some more
[21:39] uh can create some some more efficiencies within the federal
[21:41] efficiencies within the federal
[21:42] efficiencies within the federal government.
[21:45] Next up uh Meta opened its Muse AI agent
[21:49] Next up uh Meta opened its Muse AI agent to small businesses on Tuesday. Um, it
[21:53] to small businesses on Tuesday. Um, it
[21:53] to small businesses on Tuesday. Um, it plugs into tools like Shopify, Stripe,
[21:55] plugs into tools like Shopify, Stripe,
[21:55] plugs into tools like Shopify, Stripe, Slack, QuickBooks, and Canva. Uh, plus
[21:59] Slack, QuickBooks, and Canva. Uh, plus
[21:59] Slack, QuickBooks, and Canva. Uh, plus of course Facebook and Instagram
[22:00] of course Facebook and Instagram
[22:00] of course Facebook and Instagram business accounts. And it does tasks for
[22:03] business accounts. And it does tasks for
[22:03] business accounts. And it does tasks for the owner. Uh, it's free with usage
[22:07] the owner. Uh, it's free with usage
[22:07] the owner. Uh, it's free with usage limits in the US and Canada. Um, and
[22:09] limits in the US and Canada. Um, and
[22:10] limits in the US and Canada. Um, and then there are paid plans for heavier
[22:13] then there are paid plans for heavier
[22:13] then there are paid plans for heavier users. Uh, this is actually a tool. My
[22:16] users. Uh, this is actually a tool. My
[22:16] users. Uh, this is actually a tool. My my mother is a graphic designer and an
[22:20] my mother is a graphic designer and an
[22:20] my mother is a graphic designer and an artist and I need to get her on MetaMuse
[22:23] artist and I need to get her on MetaMuse
[22:23] artist and I need to get her on MetaMuse and and start using some agents to run
[22:25] and and start using some agents to run
[22:25] and and start using some agents to run her business. Um, Meta is taking its AI
[22:30] her business. Um, Meta is taking its AI
[22:30] her business. Um, Meta is taking its AI straight to millions of businesses
[22:32] straight to millions of businesses
[22:32] straight to millions of businesses already advertising on its apps. Uh, the
[22:34] already advertising on its apps. Uh, the
[22:34] already advertising on its apps. Uh, the same customers OpenAI and Google want.
[22:39] same customers OpenAI and Google want.
[22:39] same customers OpenAI and Google want. Um, Meta says small businesses are short
[22:42] Um, Meta says small businesses are short
[22:42] Um, Meta says small businesses are short on hours, not on ideas. and Muse gives
[22:44] on hours, not on ideas. and Muse gives
[22:44] on hours, not on ideas. and Muse gives them the the hours back. That's great to
[22:46] them the the hours back. That's great to
[22:46] them the the hours back. That's great to see. Um I you know I've spent some time
[22:48] see. Um I you know I've spent some time
[22:48] see. Um I you know I've spent some time with the MetaMuse personal agent uh and
[22:53] with the MetaMuse personal agent uh and
[22:53] with the MetaMuse personal agent uh and um I think it's number one or at least
[22:55] um I think it's number one or at least
[22:56] um I think it's number one or at least top three in the app store. If you
[22:57] top three in the app store. If you
[22:57] top three in the app store. If you haven't, go check it out. It's free to
[22:59] haven't, go check it out. It's free to
[22:59] haven't, go check it out. It's free to download. Uh and you can experience what
[23:03] download. Uh and you can experience what
[23:03] download. Uh and you can experience what it's like to use a personal agent um
[23:06] it's like to use a personal agent um
[23:06] it's like to use a personal agent um that can do a lot of things for you uh
[23:09] that can do a lot of things for you uh
[23:09] that can do a lot of things for you uh which is um exciting at the same time.
[23:13] which is um exciting at the same time.
[23:13] which is um exciting at the same time. um there are learning curves with you
[23:15] um there are learning curves with you
[23:15] um there are learning curves with you know any new technology and so it'll be
[23:17] know any new technology and so it'll be
[23:17] know any new technology and so it'll be interesting to see um you know not only
[23:21] interesting to see um you know not only
[23:21] interesting to see um you know not only how the personal agent has continued uh
[23:23] how the personal agent has continued uh
[23:23] how the personal agent has continued uh to to be adopted but how these uh
[23:26] to to be adopted but how these uh
[23:26] to to be adopted but how these uh business user users adopt these tools
[23:30] business user users adopt these tools
[23:30] business user users adopt these tools and I just think about um kind of the
[23:33] and I just think about um kind of the
[23:33] and I just think about um kind of the cyclical nature of AI and these
[23:37] cyclical nature of AI and these
[23:37] cyclical nature of AI and these subscriptions and these tools that we've
[23:38] subscriptions and these tools that we've
[23:38] subscriptions and these tools that we've seen over um you know really the the
[23:41] seen over um you know really the the
[23:41] seen over um you know really the the past 3 years or so. um and and how it's
[23:46] past 3 years or so. um and and how it's
[23:46] past 3 years or so. um and and how it's it's you know just this this race
[23:49] it's you know just this this race
[23:49] it's you know just this this race between capabilities and reach um
[23:52] between capabilities and reach um
[23:52] between capabilities and reach um throughout
[23:54] throughout
[23:54] throughout uh AC across all these tools right and
[23:56] uh AC across all these tools right and
[23:56] uh AC across all these tools right and so um you know easy example easy to see
[24:00] so um you know easy example easy to see
[24:00] so um you know easy example easy to see is you know between claude and and open
[24:02] is you know between claude and and open
[24:02] is you know between claude and and open AAI uh you know open AAI was the leader
[24:06] AAI uh you know open AAI was the leader
[24:06] AAI uh you know open AAI was the leader and standalone best um you know chat
[24:10] and standalone best um you know chat
[24:10] and standalone best um you know chat tool for a really long time uh and and
[24:14] tool for a really long time uh and and
[24:14] tool for a really long time uh and and Claude came in and surpassed them and
[24:16] Claude came in and surpassed them and
[24:16] Claude came in and surpassed them and and and Claude was the best for quite a
[24:18] and and Claude was the best for quite a
[24:18] and and Claude was the best for quite a while and then uh Chat GPT has gotten
[24:21] while and then uh Chat GPT has gotten
[24:22] while and then uh Chat GPT has gotten close and they they kind of go back and
[24:23] close and they they kind of go back and
[24:23] close and they they kind of go back and forth, right? Um and so it's funny cuz I
[24:26] forth, right? Um and so it's funny cuz I
[24:26] forth, right? Um and so it's funny cuz I was talking to a friend a few weeks ago
[24:29] was talking to a friend a few weeks ago
[24:29] was talking to a friend a few weeks ago who was mentioning a a migration from uh
[24:33] who was mentioning a a migration from uh
[24:33] who was mentioning a a migration from uh Open AI to claude and and then OpenAI
[24:37] Open AI to claude and and then OpenAI
[24:37] Open AI to claude and and then OpenAI releases a you know a new powerful model
[24:39] releases a you know a new powerful model
[24:39] releases a you know a new powerful model and they're like ah I'm missing uh I'm
[24:42] and they're like ah I'm missing uh I'm
[24:42] and they're like ah I'm missing uh I'm missing that model. So, uh, you know,
[24:44] missing that model. So, uh, you know,
[24:44] missing that model. So, uh, you know, point being here, it'll be interesting
[24:46] point being here, it'll be interesting
[24:46] point being here, it'll be interesting to see with personal agents, they are
[24:48] to see with personal agents, they are
[24:48] to see with personal agents, they are really cool upfront. Um, there is
[24:50] really cool upfront. Um, there is
[24:50] really cool upfront. Um, there is somewhat of a of a learning curve and
[24:53] somewhat of a of a learning curve and
[24:53] somewhat of a of a learning curve and and how do you actually get them to have
[24:54] and how do you actually get them to have
[24:54] and how do you actually get them to have an impact on your life? Um, are people
[24:57] an impact on your life? Um, are people
[24:57] an impact on your life? Um, are people going to go all in and and really adopt
[25:00] going to go all in and and really adopt
[25:00] going to go all in and and really adopt these on a personal side? on on the
[25:02] these on a personal side? on on the
[25:02] these on a personal side? on on the business side, small business users, you
[25:04] business side, small business users, you
[25:04] business side, small business users, you know, I'm thinking about um these are a
[25:07] know, I'm thinking about um these are a
[25:07] know, I'm thinking about um these are a lot of home services businesses um that
[25:09] lot of home services businesses um that
[25:10] lot of home services businesses um that that are advertising on on Facebook or
[25:12] that are advertising on on Facebook or
[25:12] that are advertising on on Facebook or Instagram. Um a a lot of small
[25:15] Instagram. Um a a lot of small
[25:15] Instagram. Um a a lot of small businesses, main street businesses that
[25:18] businesses, main street businesses that
[25:18] businesses, main street businesses that uh as we um think about those folks as
[25:23] uh as we um think about those folks as
[25:23] uh as we um think about those folks as business owners, they're operators,
[25:25] business owners, they're operators,
[25:25] business owners, they're operators, right? They're in the field, they're
[25:26] right? They're in the field, they're
[25:26] right? They're in the field, they're getting work done. Um, I think they
[25:29] getting work done. Um, I think they
[25:29] getting work done. Um, I think they would love to have an agent handle a lot
[25:32] would love to have an agent handle a lot
[25:32] would love to have an agent handle a lot of the tasks for them. If there's a
[25:34] of the tasks for them. If there's a
[25:34] of the tasks for them. If there's a learning curve and it's going to take a
[25:35] learning curve and it's going to take a
[25:35] learning curve and it's going to take a while for them to to adopt it, that the
[25:38] while for them to to adopt it, that the
[25:38] while for them to to adopt it, that the impact or the payoff for them in their
[25:39] impact or the payoff for them in their
[25:39] impact or the payoff for them in their business is is going to have to be huge.
[25:42] business is is going to have to be huge.
[25:42] business is is going to have to be huge. Um, so it'll be interesting to see that
[25:46] Um, so it'll be interesting to see that
[25:46] Um, so it'll be interesting to see that um and see the impact that this has on
[25:51] um and see the impact that this has on
[25:51] um and see the impact that this has on um these small businesses. That being
[25:54] um these small businesses. That being
[25:54] um these small businesses. That being said, um I love it. I love it. I love uh
[25:59] said, um I love it. I love it. I love uh
[25:59] said, um I love it. I love it. I love uh getting these tools to small businesses.
[26:01] getting these tools to small businesses.
[26:02] getting these tools to small businesses. Um I I I love the potential there. You
[26:05] Um I I I love the potential there. You
[26:05] Um I I I love the potential there. You know, whether or not this will be a
[26:06] know, whether or not this will be a
[26:06] know, whether or not this will be a gamecher or um you know, we'll see
[26:09] gamecher or um you know, we'll see
[26:10] gamecher or um you know, we'll see massive economic
[26:12] massive economic
[26:12] massive economic um output from these tools. I don't
[26:14] um output from these tools. I don't
[26:14] um output from these tools. I don't know. Um but I I love to see the
[26:16] know. Um but I I love to see the
[26:16] know. Um but I I love to see the advancement and I love to see um how
[26:20] advancement and I love to see um how
[26:20] advancement and I love to see um how we've come from if if you guys are
[26:22] we've come from if if you guys are
[26:22] we've come from if if you guys are familiar at the beginning of the year uh
[26:24] familiar at the beginning of the year uh
[26:24] familiar at the beginning of the year uh a tool called openclaw was launched uh
[26:27] a tool called openclaw was launched uh
[26:27] a tool called openclaw was launched uh and it was an open source project u very
[26:30] and it was an open source project u very
[26:30] and it was an open source project u very powerful um in terms of its capabilities
[26:34] powerful um in terms of its capabilities
[26:34] powerful um in terms of its capabilities and just a gamecher in terms of how we
[26:36] and just a gamecher in terms of how we
[26:36] and just a gamecher in terms of how we all looked at AI and and um was really
[26:40] all looked at AI and and um was really
[26:40] all looked at AI and and um was really impactful. That being said, it was very
[26:42] impactful. That being said, it was very
[26:42] impactful. That being said, it was very difficult to set up, very difficult to
[26:44] difficult to set up, very difficult to
[26:44] difficult to set up, very difficult to maintain. Uh, and and now we have these
[26:47] maintain. Uh, and and now we have these
[26:47] maintain. Uh, and and now we have these tools, these personal agents, these
[26:50] tools, these personal agents, these
[26:50] tools, these personal agents, these personal business agents, uh, that, uh,
[26:53] personal business agents, uh, that, uh,
[26:53] personal business agents, uh, that, uh, have that same capability right out of
[26:55] have that same capability right out of
[26:56] have that same capability right out of the box. Um, granted, the the the
[26:59] the box. Um, granted, the the the
[26:59] the box. Um, granted, the the the learning curve is how do I apply this to
[27:01] learning curve is how do I apply this to
[27:01] learning curve is how do I apply this to my business? How do I apply this to my
[27:03] my business? How do I apply this to my
[27:03] my business? How do I apply this to my personal life? Um, so it'll be
[27:04] personal life? Um, so it'll be
[27:04] personal life? Um, so it'll be interesting to see how those are adopted
[27:07] interesting to see how those are adopted
[27:07] interesting to see how those are adopted and the impact that that has. But
[27:09] and the impact that that has. But
[27:09] and the impact that that has. But ultimately um we're moving in a positive
[27:12] ultimately um we're moving in a positive
[27:12] ultimately um we're moving in a positive direction.
[27:20] So alto together
[27:22] So alto together um I think a really interesting day in
[27:26] um I think a really interesting day in
[27:26] um I think a really interesting day in uh AI news and and what we're seeing
[27:28] uh AI news and and what we're seeing
[27:28] uh AI news and and what we're seeing moving moving together. We've got um uh
[27:33] moving moving together. We've got um uh
[27:33] moving moving together. We've got um uh you know the the AI accord with Trump
[27:37] you know the the AI accord with Trump
[27:37] you know the the AI accord with Trump and um uh and seeing those leaders there
[27:40] and um uh and seeing those leaders there
[27:40] and um uh and seeing those leaders there super encouraging Open AI launching
[27:43] super encouraging Open AI launching
[27:43] super encouraging Open AI launching their uh own personal uh agents. Um
[27:46] their uh own personal uh agents. Um
[27:46] their uh own personal uh agents. Um we've got the government launching a
[27:49] we've got the government launching a
[27:49] we've got the government launching a chatbot. uh Apple saving
[27:52] chatbot. uh Apple saving
[27:52] chatbot. uh Apple saving um 5,000 jobs from AI and uh and then
[27:57] um 5,000 jobs from AI and uh and then
[27:57] um 5,000 jobs from AI and uh and then finally the Muse um uh business agent,
[28:01] finally the Muse um uh business agent,
[28:01] finally the Muse um uh business agent, which is super cool to see. Uh and I
[28:03] which is super cool to see. Uh and I
[28:03] which is super cool to see. Uh and I can't believe we're we're already out of
[28:05] can't believe we're we're already out of
[28:06] can't believe we're we're already out of time. We already covered everything.
[28:07] time. We already covered everything.
[28:07] time. We already covered everything. This is amazing. I love this. This is so
[28:09] This is amazing. I love this. This is so
[28:09] This is amazing. I love this. This is so much fun. Um hopefully you enjoy
[28:13] much fun. Um hopefully you enjoy
[28:13] much fun. Um hopefully you enjoy uh hearing me talk about what's going on
[28:15] uh hearing me talk about what's going on
[28:15] uh hearing me talk about what's going on in AI. Hopefully you're learning
[28:18] in AI. Hopefully you're learning
[28:18] in AI. Hopefully you're learning something new. Um, and uh, this impacts
[28:21] something new. Um, and uh, this impacts
[28:21] something new. Um, and uh, this impacts your life and we can have some fun here.
[28:23] your life and we can have some fun here.
[28:23] your life and we can have some fun here. Um, alto together I'm having fun. I love
[28:26] Um, alto together I'm having fun. I love
[28:26] Um, alto together I'm having fun. I love it. And we'll see you tomorrow morning
[28:29] it. And we'll see you tomorrow morning
[28:29] it. And we'll see you tomorrow morning at 6:00 a.m. Central. My name is Austin
[28:32] at 6:00 a.m. Central. My name is Austin
[28:32] at 6:00 a.m. Central. My name is Austin Wilson and this is the Austin Wilson
[28:34] Wilson and this is the Austin Wilson
[28:34] Wilson and this is the Austin Wilson Show.