Ring AI Takeover While Biotech Threatens 2026 | MCAA

This is your captain speaking. This is time. We ask you to pass here. See the votes. 252, 7, 28, 28, 28, 28, 28, 28. Oh. Hey guys, here we are. Gus, where are you today? Monsignal, Mexico. It's whether it's from the movie, 10, Bauderic and Dudley Moore, where she's running on the beach. Oh, I hear that you are you going down to see that movie scene today? Yeah, tomorrow. Tomorrow, tomorrow, that hotel. That's so whatever it is. It's lost somebody. But apparently the all the scenes that are in the bars, the bar still looks the same and all that. So it'd be fun. How cool is that? Yeah. Down here. How are you doing? Hold up in the cold. Yeah, got snow on the ground. You know, you're not far from me about 15 minutes away from me. It's really just nice, but. Quite pretty. That's correct. About a inch and a half. Do you? Yeah, I got a little bit more than you. No ice there, huh? 85 degrees and human. I got air conditioning on right now. Wow. Crazy. Thanks everybody for joining us today. It's it's a good day. Most of us, if not or not, most of us, but a lot of us have these ring cameras or blink cameras. I actually have a blink camera, which is made by guess who Amazon owns Blink. Oh, really? But yet who outtones ring Amazon. So multiple brands. I don't know why that is, but they do. They do have different products. But yeah, so today we're going to talk about this intelligent assistant era that we are entering in because the ring founder says that we're not just in the security business anymore. We're in the intelligent assistant business. Okay. So what that means is your ring doorbell just saw your neighbor's dog escape and texted the neighbor coordinated the smart lock to let the dog walker in and ordered dog treats for pickup all while you were in the meeting. There you go. That's the future. That's for sure. Yeah, I know. I'm just about everybody I know has got a ring camera. There's a few that don't, but there's so many good things about that. And we're going to talk about that a little bit. But what I liked initially about it was so easy to install. Anybody can do that install if you've got a if you have an existing doorbell, you use the same power connected to the same thing and it's wireless and connects to your wireless and you're done within 10 minutes really. And then install the software on your phone and you're good to go. And then you get real time alerts. You get remote monitoring like Bill was just talking about even get two way audio. You can talk to the person at the front door who's bringing your doorbell, which is pretty cool. And then you get really clear footage. I've had a lot of different camera systems because our business of bringing security has been video surveillance cameras and boy, some of them are terrible. I mean, that's like why even have them if you can't actually see anything. You get those DVR boxes and they come with two or three cameras and in the past they were horrible. Now they're getting much, much better. But this ring is equal to the best of the best. It's got really good resolution. So I've always liked it. Not we're not talking about the cameras today so much as the technology behind them. But if you don't have one of you understand what we're talking about, just want to get you to understand that these things integrate with your other home integration features too because ring doesn't just have cameras. They have other features too that they can use. But funny is that Amazon has their own security products too. So now Amazon competing with ring and they're the same company. Is it the way we talked about this the other day, Ralph? There's so much of this round rub and when we handed all our to you and then you give it back to me and that it's all it's just keeps going the same thing. Almost all these industries are doing the same thing. We're talking about this so much they're going to start calling us the three stuages instead of the all right. Yeah. I'll give you a call. You gotta cut that out. Right here. I might call it. I might call it. I might call it as the three stuages. There you go. You still. So I'll just tell you that I sold a little ring camera that I got and I didn't have any use for it. It was just one of these little tiny ones and very inexpensive 25 30 bucks or something that's the cheapest ring camera you can get. It's not the doorbell. And so I sold it at a garage sale. And some kid bought it ring will not if that is registered to my ring account ring will not let somebody else use that camera ever. So I went in to give him the ring for a while tried to undo it right I got an email about it tried to undo it couldn't figure out how to undo it so this poor kid who spent $4 or whatever on the ring camera he bought from is like out of luck right anyway. That's one of the things that they do a good job if you buy a ring camera it's going to be years forever unless you let it go. Wait a minute Bill I get a question for you so is that $4 that you made there that can push you over the billion earth threshold. But it's getting close bro. We're going to have to get you out of the club soon. I know I know and we're in trouble right. Seems like everybody I know has a ring I was surprised to hear that it's just one in 10 in the US one to 10 people because I don't know how many people as I thought. I don't know what to deal. It's a luxury. Yeah. But what do you guys think about the it seems like we touch on things like this with most of the AI supported tools but the privacy issues so does it bother you guys that this things you can see the dogs escape and call the dog catcher or whatever it does. Uh or is that a good thing. The ring got in trouble because they were unknowingly to the customer sharing ring camera feeds with police. And they had to quickly stop that they got their hands slapped and now you do have all these privacy features so it's not something that somebody can take from you type of thing but you know as well as I do when you're dealing with all of these when you're dealing with all of these different security and privacy it's a thought it's death by a thousand lashes for instance I was just trying to figure out when I get Google fiber which is coming to me soon I want to have a VPN going to the internet because I'm on Amazon looking for something and the next thing you know on my Apple TV up comes ads that are specific to what I was looking for. And if that's happening then you know what about when I ask about a health problem or whatever these guys are just completely violating our privacy and there is no easy way of securing for instance a chrome browser but when it comes to these sort of security things the better end processing or what they call edge AI edge AI is where you use your own processors locally like the new AI that's on some of the Intel chips and if you have like I have a 4070 GPU on my system Jim you have a black while I think on yours right. So you can we can do what's called edge processing where we do any of the AI oriented work on our own local systems and so that's what they're moving to and that's probably where ring is going to start having in a lot of things are going to be more localized right. You're not sending that information out across the internet even if it's HTTPS SSL secure you're going to be doing a lot of that stuff locally because you're going to have GPUs or these little INPs that you can use locally and that's what they call edge processing. So it's going to get better but nevertheless I was just listening I was just looking at an asking chat how to secure once I get Google fiber and I'm getting three gigs how I can get my firewall which is going to be ubiquity fiber gateway that will do up to 10 gig how I can use that because what do I care about do I care about my Apple TV really or any of these other devices on my network or if I have a proxmox server and 10 VMs and they're going out and doing things do I really care about them no I care when I am on my cell phone and I am talking to AI about my medical health problem whatever it doesn't matter what you're talking about that's going out and so you need to be careful I was trying to figure out which switches to change how to make my Chrome browser more secure and basically back and said there's no way to make a Chrome browser secure why because Google has if you're logged in to Google everything you do inside that browser it's reporting back to Google there's just no way really easily to secure any part of a Google browser. And so what's that? The duck duck go isn't that part of Google no more secure browser it's a more secure browser and they say that brave is the more that you know the best security it stops and blocks a lot of different things but bottom line is anything that you are exposing like I use Chrome all the time I like it for a YouTube channel management and all these different things browser is a fastest and easiest and that sort of thing however when it comes to your privacy I can tell you they know every time you are talking about or googling things that might be a bit sensitive what you're ordering on Amazon that sort of thing there's not an easy way to really secure that the only way we're going to be able to do that is if they break up Google which they're talking about now breaking it up into four different companies and if they do that YouTube will be on one search will be on another cloud will be on another that sort of thing but these security concerns there's certain things I just my business stuff I don't care but knows what companies I'm Google in or what companies I'm using and that sort of thing that's not a big deal but when it comes to our own privacy issues or if your kid is googling something that's sensitive or whatever or you have a problem you know that you need some advice for it's terrible that in order to make these things secure you have to flip a thousand switches and go all you had set this and set this and then set that and then set this and it's okay I'm going to set that one time but then something's not going to work and I'm going to say reset to default so I do get something to work and then boom I'm right back where I started and they know this so it's death by a thousand settings is what they're doing to put you think that's going to be a security but don't you think that's going to get taken care of eventually and AI will be able to tell AI AI what we want and people do all those settings for you eventually so I do believe that I do believe that here's the important part getting back to the rings or we don't get too far off of course here is the edge analytics has been around forever that's nothing new so doing anything at the edge is just it's better home for decades so apps is Bosch, Heinwell, a vigil on all these other camera manufacturers have been doing edge analytics forever so this is old news but what is different with ring is that they are trying to mass scale the distributed edge in other words what all of us do together in common it reads and understands and begins to build an AI understanding of how people react how situations react whether there's whether there's a fire nearby and it sees the smoke coming across somebody's house all these kinds of different things now will be interact it'll save us a house next door that's got a ring camera is it seeing the same smoke or the one across the street it's going to interact in a way that's taking the data and trying to assist people in their lives and now I don't know if I agree with all of it some of it's going to be good I think if it gets into how we act as humans personally for spending for reasons of merging merchandising and things like that I don't agree with that much you mean every time you walk into a target when you walk into a target there are cameras you are in the very aisle there's also a light and there which was what you are looking at on the shelf right but even before that it watches the pattern of which way people go when they walk in the store and they determine mango right women go left already know they're already so they kind of look at the store and they lay it out just based apart where no I don't know I'm just trying to give you the road I've just given you the point that there's a lot of intelligence built into cameras already that have been doing it at the edge for a year and what they're now trying to do and I gave you an example a couple of examples of how they're trying to make it more scale across many cameras to get a different district a different understanding of what human kind is doing or how they react ring is I think it's a cheat and very good system and I don't see anybody really beat it out I've used other cameras I've used to do camera and I'm not happy with that camera as part of my alarm system I could get one camera for free but they didn't offer ring of course offered to Google camera so I said all right I'll put a Google camera out front and I'll have a ring at the front door man that was the worst thing right reflecting out after about a year and said that Google was down more than it was up it didn't interface with anything that I used anyway just a matter of I think with all these things as a matter of a trade off the dream convenience and privacy and worse struggling with that but I will say the people that are worried about privacy with the ring we're all walking around with cameras 24-7 that attract and microphones that ship has sailed the privacy thing might be it that's that that's interesting you guys hear about the just moving on here there's been a lot of press about how AI is going to be assisting cybersecurity and this is a question that this is an issue that's very near and dear to the three of us right and I think it's interesting and it wasn't a single article or anything that I saw it all the big companies crowd strike and Apollo and IBM are all on the fact that this AI is going to be a big time saver and allow organizations to be able to solve problems a lot quicker with all breaches but if you look at the pattern of a breach so basically three steps detect the breach you coordinate off so that it's so that it's not hurting you anymore and then it starts this investigation now AI can help with detection for sure right correlating amounts of different sources and it could definitely help with the resolution aspect but before I hand this off I just want to ask you guys the average time is way down actually in 25 down to six months for folks knowing that there I think it's 240 days or something that's realized that their breach that's down from the pass and probably is because of AI that we're finding out that we're breach quicker but nonetheless it's still six months so what kind of data are you going to have AI searching through because Bill always says packets don't lie and that's the best sort of data nobody's starting that for six months how do we get around that to have relevant data versus metadata logs which is all valuable in AI's can do an amazing job of searching through it instantly in 24 seven but if the packets have rolled off what are you going to do yeah there are some really great tools that help with that right where it basically pulls out of the packets the relevant metadata and objects like certificates files etc that are being compromised right and it's copying those files out of the packets and storing them long term so you do have digital archaeology you can go back and see what was stolen because largely many times that's the biggest problem that companies have okay we got compromised what exactly did they really get because that is the analysis of the damage control so there are some really great products like that long I'm going to talk about where it's in just second but here hold on so I had a where I had a breach a customer who had a breach here in Austin and so I was called in to go on take a look at the breach that it was a fraud on their accounts receivable where they managed to infiltrate their email system and get in between emails but the point is that it took me about two days of how to calibrating the emails looking at one response to another and looking at it we all determined what the problem was what we're trying to find out who the culprit was who is the bad actor and all of those that information is embedded in those emails so you can find out and then you can go back and take a look at known known email sources and things like that to determine who it was we did identify working from fortunately the bank system was able to hold put a hold on those that those funds and it did not go to the bad guy and so that was good but people wait too long before they get to a point where they have a breach and you mentioned wire ex and that's what I wanted to go with this is that tools like wire ex will keep a good look at your system through a normal every day use to look for problems that might be a breach might be the source of a breach and you can identify those in advance and stuff waiting you find out that $250,000 was taking out of your account and gone to some other source so I think because of those kind of the emails and the threads and then the object files right the object files tell you that here is the email or here was the file or here was the transaction and having those stored allows you to go back and not just for long term archaeology six months or more but three weeks ago and if you don't have that information it makes going back and getting that information near impossible you have these logs but those logs do not contain email addresses they don't have a lot of things and you have to piece it together so after actions are very difficult without some packet scrap being or packet metadata saving system like wire ex provides this particular breach would have been found by wire ex for sure because it was a typo squaring problem that's where they flipped the name of the URL to make it look almost like it was going to the right place but it was just a couple letters off that's an easy thing for wire ex to find because if it's searching through and it sees an anomaly that says this one's not the same as the rest and this is where AI is going yeah but we expect AI to be able to give us information with data that haven't been fed and I think that's a big problem because the AI is only as good as the data that that it has so I think that that's a real big thing to keep mind question for you guys again so you know it great news right AI is going to help us get to the root cause faster and it's going to help us decat faster and this is all really good stuff but the back I got AI as well the camera mouse game we always see and how are how is AI going to help them on their side keep up keep one step ahead of us the AI that they're using is not misspelling words is making sure that the story that it's basically trying to trick you into is written better so it avoids your typical logic of this probably really isn't coming from my daughter or this isn't coming from one of my employees and those hints that we get as human beings and that's how they're overcoming our senses right we apply logic to it and so no this has to be real because of this and this those same counter measures can be used by AI so I'm I know that there's a lot of AI that is causing some new problems but I think they're going to be fixed rather rapidly they're going to be mitigated rather rapidly and we're moving to a point as you guys very well know I believe that with DPUs data processing units from Nvidia and other folks we're going to be able to capture absolutely unequivocally every packet coming in and every packet going out relatively inexpensively and then sending it over to something like wire X and Morpheus and then Morpheus is going to identify things in real time and allow you to get some information and then for longer term storage you're going to have wire X it's going to basically take all those things and put them to this so you can look six months before and like you said jam at six months now as opposed to as opposed to a year the one thing I will say about wire X 2 is its ability to summarize data because typically other solutions require mass storage so much storage to be able to recreate the event in wire X summarizes in a way that no none of the others they have a patented way of doing that so the amount of requirement for holding that information is much lower so a lot of people a lot of people are doing pat longer term packet capture here's the thing you go in and say oh we've been keeping our packets and oh pat me on the back we've been keeping our packets for three weeks three months whatever and then you go in and it's okay that's great we can find this if we have those packets and then we find out that they sliced their packets of 128 bytes what does that give you about 64 bytes of data information for and it's in the information's gone so you have to not only capture those packets long term but you have to store all those packets long term and a packet is typically a 1500 bytes of data not 128 and if you have slicing at 128 you know the header is 64 ish so you have 64 bytes of data per packet of a 1500 byte packet yeah that's not good enough so when you're looking at doing these things you need to make certain of your capturing packets for duration keep the full packet why because you know essentially you can't you you can see who is going to and how much but you can't get any context and that is what WireX does it gives you the context of what the transaction was doing and it takes that and stores it to disk while letting the packets go by but those big raw packets but it's taking all the context and storing it so you can go back and do long term archaeology on it all these kinds of tools like WireX now insurance companies like a ige chub there's insurance companies now that are offering premium discounts to companies that are using AI driven forensics so there's a pleasant going on the discount on that cybersecurity insurance will pay for the product yeah I'll pay for a WireX absolutely so yeah so it's like a win win if you're already spending a lot in budget then you might as well and then this another product so bottom line you've got and packets aren't the only thing that you have you have firewall logs you have application logs you have right other systems that are monitoring who has access to which files there's DLP data loss prevention capabilities there's a lot of cybersecurity capabilities that typically once you identify you have a problem it's going to take three to eight weeks on average to deconstruct that and get the data like you were talking about Jim and the things that AI systems can analyze all of those logs in a matter of a few hours so you're reducing your ability to do forensics from three to eight weeks down to maybe four to six hours so you're right on it and as well as I do it's like when somebody's abducted when some ransom thing happens or whatever it's the longer the police don't know what the problem is the less probability you're going to get that person returned or you're going to get that diagnosis so sooner is always better and AI is helping us well I'm using log analysis capabilities and tools all the time much faster and and then have it when you're at the Pentagon no I didn't have that right that's very difficult to do it the hard way and you gain such knowledge by knowing really what packets do so you run yes you can run AI so much better but anyway I interrupt what were you saying no that's basically what I'm saying is that the speed at which you can gather certain pieces of information before the Bitcoin or the file wire transfers are settled right the sooner you can get the knowledge the sooner you can like Jim in your situation that you talked about a few minutes ago they the bank was alerted to the problem and said this doesn't sound right and they're going to hold that so holding it just a little bit longer so the quicker you can get your diagnosis as to what you believe happened the sooner you're going to be able and you go in any movie that you watch where there's some person abducted and there's a ransom or somebody's killed or whatever we watch all these shows right they say yeah after 48 hours if you don't have a suspect they're long gone and so that's where it's important all this is about getting through all that so much data that has to be sorted through that has to be quickly gone through compiled understood and turned into an outcome and blessed that you have to deal with the better and one more thing and as we go something that believe in more than anything there's a solution that will actually prevent packets to be able to respond back to bad guys and so a lot of this data that we talked about being stored up and being analyzed we see a way that we can stop that and our goal is here at Morpheus Cyber is to help you understand what the problems are but at the same time also tell you that there's some hope because some good things are coming down the road A.I. is a good thing it's going to be good for the defense against these attackers it is also going to be yes used by the attackers but we're smart enough to already know where this is going to go and create the same kinds of responses that will prevent them from being successful the other thing is solutions like 0 is one that I see will come out eventually and that will just drop a ton of this traffic that we're now dealing with later in time so look out for that down the road so there is hope I just want to go away from this topic as we go to another topic and let you know that there is some hope and A.I. is a good thing that's going to help us in that so speaking of A.I. and open A.I. is the one now this is just my quick opening statement on this new topic open A.I. and the lawsuit with Mosque it was not until because if you take a look at A.I. I.B.M. had A.I. 20 years ago and they were trying to sell companies on using A.I. way before open A.I. came out what was it guys and I'll tell you it was the fact that A.I. got democratized until it was in the hands of smart human beings the consumer market until it was in all of our hands to do something with A.I. it did not flourish and then as soon as open A.I. came out with their capability we all started using it we all got creative and look at what's happened the things that A.I. is not new it's 40 50 years old here's the trouble they were always using it with companies and only business B to B as soon as it got into the consumer space it took off like lightning because the human brain can figure things out for self interest when we figured out that we could use A.I. for ourselves and benefit ourselves it flourished but when it was just an employee over at IBM trying to sell another employee at ABC corporation it didn't fly right even though it had the same a lot of the same capabilities it did not take off until it was democratized and in the hands of the consumers and folks like ourselves so that's a bottom line of what's happened here is that this became crazy and so now I'll just toss out that red meat guys here's musk wanting 134 billion from open A.I. what do you think that's all good background about it we talked about this a little bit last week just mentioning that there's a lawsuit going on we didn't say anything about it but this week we really have to talk about it because it's just dropped into the news and it's becoming forefront in the forefront of news and what is this all about why is he suing for 134 billion you remember that open A.I. was originally a project funded by musk and his not alone him and other investors together he was a lot of their largest investor he was right and he wanted to see this become beneficial to the public in general and not be something that was going to cost anybody anything and then he walked away from it he was a state of an efficient statement it was it's written right in their actual vicious statement like you said when it was created as a nonprofit and then when he walked away from it that became a for-profit which this is why he's so upset about because he invested so much and gave it very clear direction so he's got a case he's got a legal case because it was written into the foundation of the company of the nonprofit so I just don't see A.I. being able to walk away with this being untouched they're going to they're going to end up paying I believe yeah I don't know if the goal here is really to extract that money so much as there's a couple things that during discovery a lot of things come out that probably open A.I. really doesn't want to out there it might force them to go back to their mission statement a little bit I don't know how Microsoft just gave them billions of dollars is going to feel about that but look at their valuation 150 7 billion just 11 years that's the opposite of nonprofit that they're well what I would say is that so I'm here in Mexico with my high school friends and I mentioned something about Elon Musk and one of my friends that known her for 100 years says oh I hate Elon and I'm always confused by that because here he is objecting to the fact that this open A.I. isn't benefiting mankind I'm just downfounded by the people the muskators I think this shows his true colors he's got more money than all of us are going to spend in 10 lifetimes not about the money no it is a nothing's thing right you committed to do something and then you let him be backed down on it and now made it for all amount of profit so I can see why he's upset about it yeah he doesn't need the money that's for sure if it's Elon Musk it'll probably turn around and donate it to someplace else so and then that's really well we've added one of the things one of the things that is happening is he's starting to look at putting more and more of his grok into the public domain more and more in the waiting systems and that's sort of thing that are kept private in most of these A.I. systems he's looking at releasing relatively quickly to the benefit of others and I think this just is his philosophy in general he doesn't really necessarily certain types of informational monopolies and so he gave away a lot of information from Tesla so that it would help mankind it would help even his competitors he has proven over and over again that he is on the side of humanity and my opinion and there's just a lot of here and there's just a lot of people who are jealous of his money and but yet do you know that he lives in a house that's probably about half the size of ours that's how he rolls down and down and at his starbase he has a house there I think it's I don't know I think 1700 square feet or something ridiculous initially he was in a very small space like that but any any really for him to I think it's also about just betrayal he's a guy who really is the relationships a lot like he and Trump had a falling out because he just felt like he was betrayed and then it was initially like man you can't do that to me and he was really nasty he goes overboard with it right and then the friends now again I don't know if that's going to happen though Copa you've taken a court you've pissed off a bunch I do understand why they basically betrayed the founding mission the abandon their commitment to open this transparency and public benefit they just threw it out and said we're for probably fight and he took it further now they're going to put ads they're going to put ads on open AI yeah well they already do steer you to company A or company B let's face it I use open AI all the time and it's oh try this product and then it's like I say okay I went over and looked at that but what about this product over here and it's yeah that product's okay it's like I don't know if I want to I can see why he's doing the ads because if you're using open AI for free you're going to get ads that's what's going to happen yeah if you're paying you don't get ads so I mean what is doing the mother ship a float I mean it they're it's even further away from the original founding mission then it's about as far as you can go from the funding founding mission as possible so I think now they're going to walk into court they've announced they're going to put ads on open AI and they go into court and say okay how far can you get from the founding mission yeah I'll be curious to see how it plays out they got to do it because they're in debt they're going backwards they're losing money there are a lot of things that are happening and we're on the precipice in my opinion of very powerful things happening with the help of quantum and so there's a few biotech trends shaping up in 2026 we've got some chips and processors QP use quantum processing units that are coming out or we're out last year they're getting better all the time what if I was to tell you that the FDA just went from taking 60 days to process a drug application to do in it in one day why yeah that's amazing because you all the processes that you have to do you can send an agent out and I'm starting to use cloud code and some of the new features that put agents and it builds out multiple agents to go do things in parallel that are not there's some things you have to do with presidents you have to do this before you can do that you have to do that before you can do this that's president oriented there are other things where you can do all four of those things it's simultaneously right in parallel so where AI can do things in parallel so I'm starting in my cloud code sessions to open up multiple terminals and so I'll be working on this problem over here and then cloud code is over there cranking on that for 10 15 20 minutes and it's wait when are you going to be done oh I need to go get another cup of coffee no now you can open another terminal open another cloud session and then do something but you have to be careful not to have them fighting over the same files right and you are modifying the same file so you have to have disparate tasks that you're doing that are somewhat independent this feature but don't go do things with this feature so you're we're being able to figure out how to use agents more intelligently to do parallel processing and while cloud is over there doing 15 minutes worth of very powerful work I can open up another one and start another thread that is where the world is going and that is where developers and engineers are no longer being held hostage by first of all it used to be get cloud working on something okay it'll do this in three minutes and then comes back and want something new now can go for 10 15 minutes while it's doing that you can go start another project or do something sometimes I do that where I'm working in the CRM that I've built where I've worked in and I'm working on the podcast management system or I'm working on some other component like my family history apps and I can just start okay I'm done with that I'm this is cranking so I'm going to go over here and start cranking in the other one and cloud code loves this right because it is working on all three of those now in order to do that you're probably going to have to spend the hundred dollar or the two hundred dollar a month version of this because you're going to be burning up tokens on all three of those but basically now we're getting to where we can do this with AI and we're going to have new drugs and that sort of thing and once the drugs are figured out with quantum capabilities then it's going to come back to AI and distribute that out to where millions of people will be able to benefit from the information that we uncover in quantum computing. Yeah so interesting Bill and the thing about this topic is that it touches on exactly what our podcast is all about right he got AI, he got robotics and you have quantum combining, converging on this and if you look at the drug companies and the reason why drugs are so expensive is to bring a drug all the way to market on average costs 2.6 billion dollars and it takes 10 to 15 years okay and guess what 90% of them fail so look at the expense of putting a drug so then once the 10% that make it for all this money all this time they charge a lot of money for it so I think it's cool that these three technologies are going to hopefully going to attack the health care system and their drugs and streamline that system if we learn one thing during COVID the was that operation warp speed they didn't it didn't really do things really well that more exposed a lot of problems that already exist in the system because you can't take shortcuts with it with AI robotics and AI robotics and quantum does things I 10 million times faster it's I think it's very exciting yeah it's computational biology right so AI of our drug discovery quantum computing and molecular simulation and then fully autonomous out of robots in laboratories doing the work of humans so things are going to progress at an extreme rate so I reach and expect to see some great things happen in the next few years looking forward to that cut way down on the testing that has to do on these poor animals I know they're mostly rats and stuff like that but I feel bad for the animals that are not not mostly rats when I one of my customers and Bill knows was Stanford cardiovascular heart and research center they had a whole downstairs area of research but they had all kinds of animals in there it was kind of sad because you knew that's what was going on I had to pass through that level sometimes before I would go up to the research area and I would see sheep and all kinds of animals that were in there it is for research but yeah if quantum can take over that process somehow and predict reactions and all these things man that would be so good and be great any other things as you remember in our class weeks episode we talked about when AI starts asking itself's questions so that kind of couples this one if you guys didn't watch that episode please go back and take a look at that one because it gives you an understanding of how AI isn't just taking instructional but it's starting to ask itself questions and learn about what should I ask myself next and how should I find the information and become much more effective than it has been in the past so guys and peat guys and gals out there all I can see is upside for AI and don't be afraid of it embrace it understand it don't walk away from it the one thing I also heard was that in China they have an 80% acceptance of AI their population accepts AI and sees it as the future 30% in the United States that needs to change we hear in the United States we have to really embrace it see where it's going don't be afraid of it be careful put a lot of guide posts in place guide blocking fences whatever you want to call them blockers in place so that it's safe absolutely and I believe we have smart people here in the United States that are doing that so the future is bright don't be negative about AI it's real positive speaking of animal research I have someone something that's personal you guys probably know from knowing me for a while that I had a daughter born with a severe heart defect and she had six open heart surgeries and there was a couple of surgeries that were stint operations it opened up parts of it to let her live and she did live till 10 years old her name was Nicole and there came a movie later about how these stints were developed by a doctor Blaylock and and he was credited with having developed these surgeries right because he was a cardioparscaler surgeon he was all that but in the lab there was this man and he was black and he actually did the surgeries that proved and he had a really great eye hand movement and that sort of thing so the doctor had him actually do the surgeries on the animals to prove that stints and other such there's a procedure called a Blaylock Towsick and that's what my daughter had that kept her alive for 10 years that that particular Blaylock doctor who is got the name and everything he was completely dependent upon his lab assistant who was not a PhD he was one of the students and he was a black man and he never got recognized for being the fingers that actually did these very delicate surgeries very early on and there's a movie out and if you haven't ever watched it it's called something the Lord made I don't know it's not a religious movie or anything but it's absolutely a very powerful example of how the right kind of fingers doing the right kind of things and the advancements that come come and that Dr. Blaylock himself couldn't do it he could define the surgery but his lab assistant this black man and I'm so sorry I don't remember his name and but the movie does discuss it the whole movie is about this man who enabled the Blaylock Towsick procedure to save millions of people's lives in heart surgeries but that is the type of thing that we did manually right we're talking about some of those surgeries in the future being done by robots and I myself had a robotic surgery so I know that they they're not all super perfect in that sort of thing but we're moving toward where these Android and these robots are going to be able to learn how to do these procedures with very micro capabilities and the beautiful thing about a robot doing it is that you can have the robot holding the tissue and you can have an X-ray at the same time which you could not do with a doctor because it would give too much radiation exposure to the fingers which are the very things that so as we get into robotic procedures and that sort of thing they're going to get better and better because you're going to be able to see in with and have some X-rays while the doctors holding the materials it's going to be marvelous for so many different things in the future so anyway the intricacy that that I've seen so far with these robots is I watched a robot actually sewing with a needle and thread that tells you that they've gotten down to this micro capability of of moving with their hands so they could easily do surgery that's not a problem at all and like you said in a place where there's exposure to radiation there would be no problem for a robot which is good. Oh thank you so much for sharing that story very personal yeah definitely moving and I definitely check out that movie. Something the Lord made and it's on a lot of different channels I can't remember you know maybe through Amazon or something but yeah something the Lord made it's a very moving story and intelligent all these PhDs figuring out how to do this microsurgery that has saved millions of people. Yeah cool. I guess as we wrap up the week here I guess you notice again that their technologies are very powerful and again on morphiocerver we always believe that fear is not the right response right but neither is blind optimism so we're not out here endorsing everything's going to be rosy was going to be some give and take some learning but our goal to help you see what's coming clearly ahead so you can think more critically about AI and maybe adapt a bit to it ask better question stay grounded and maybe you don't have to read all this stuff we're trying to do all that for you so we can try to explain it. We'd like your feedback if you want to give us some feedback as to what you'd like to see and one in the way that we respond to you great send it to us we'll definitely take a look at it so thanks for spending part of your week with us we appreciate it very much Gus and Bill you got nothing you want to say and closing like and subscribe comment and share thanks friends always Adios amigos take care take care