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5 Mind-blowing Artificial Intelligence Tools 🤯

Hi everyone, Kevin here. Today we are going to look at 5 different tools that ,leverage artificial intelligence in some truly incredible ways.,Here for instance, I can change my voice in real time.,I can also highlight an area of a photo and I can make that just automatically disappear. ,Uh, where did my son go? I can also give the computer instructions like, I don't know, write ,a song for the Kevin Cookie Company. Wow, that's actually pretty good. Would it be asking too ,much to also have the computer sing it to me. The Kevin Cookie Company, bringing joy to you and me.,Those are just a few of the examples that we're going to look at today. Let's check these out. ,The first tool that we're going to look at is called VoiceMod, and this allows you to change ,your voice in real time. You can download the tool up above or also down below in the description. ,They have voice actors record all sorts of text and then they train models based on that. Then you ,speak into a microphone, and they'll convert your voice in real time into the actor’s voice. Once ,you finish downloading and installing VoiceMod, you'll land in an interface that looks like this. ,Up in the top left-hand corner, let's click on voice box and here you see all of the different ,voices that are available in VoiceMod, and you have lots and lots of different voices. ,Currently all of the AI voices are in beta, so this is where they had an actor train a model. ,Let's test some of these out. Here I'll click on the narrator.,The Kevin Cookie Company has the best cookies in the world. ,When you have an authoritative voice like that say it, it must be true. ,Let's test out some of these other voices. Here I'll click on the pilot.,Ladies and gentlemen, this is your pilot speaking, just a quick heads up that the flight ,crew will soon be delivering nice freshly baked cookies.,Over on the right-hand side, here you can also choose the character, ,so the pilot has Michael. You could also use a female voice with Ellen, ,so you could customize who the character is. Let's test out one more voice. Here ,I'll select Alice. Be sure to finish eating all of your cookies, kids.,You could really just spend all day playing around with all these different fun voices.,Next, we're going to look at how you can remove objects from photos using something called ,cleanup.pictures. Here I am on the website cleanup.pictures and here you simply drag in ,a photo where you would like to remove an object. Here I'll drag in a photo of my son standing on a ,mountain of snow. Now for free, you could continue with an SD version, or you could also pay if you ,want to work with an HD version. For this, I'll continue with SD. Here I can now see a close up ,of my son standing on this mountain of snow. Down below, I have my brush size selected and all I ,need to do is simply highlight my son. Here I'll highlight his entire body, and once I'm all done, ,I'll release my

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OpenAI CEO Sam Altman | AI for the Next Era

all right let's start a little bit more,pragmatic but then we'll Branch out so,one of the things I think a lot of folks,here are interested in is based off the,apis that very large models will create,what are the real business opportunities,like what are the ways to look forward,and then how given the the apis will be,available,to multiple players how do you create,distinctive businesses on him yeah,um so I I think so far we've been in the,realm where it's you know you can do,like an incredible copywriting business,or you can do like a sort of like,Education Service or whatever,um but we I don't think we've yet seen,the kind of like people go after the,like you know trillion dollar like take,on Google's,um and I think that's about to happen,like maybe it'll be successful maybe,Google will do it themselves but like I,would guess that with the quality of of,language models we'll see in the coming,years,um,you know there will be like a serious,challenge to Google for the first time,for for a search product,um and I think people are really,starting to think about like how did the,fundamental things change,um and that's going to be really,powerful uh I think that a like a human,level,chat bot interface that actually works,this time around like I I think like you,know many of these trends that like we,all made fun of were just too early like,the chatbot thing was good it was just,too early now it can work and I think,you know having like new medical,services that are done through that,where you get great advice or new,Education Services like this these are,going to be very large companies I think,we'll get multimodal models and not that,much longer and that'll open up new,things I think people are doing amazing,work with sort of agents that can use,computers to do things for you use,programs and this idea of like a,language interface,um where you know you say a natural,language what you want in this kind of,like dialogue back and forth you can,iterate and refine it and the computer,just does it for you you see some of,this uh with like Dolly and co-pilot in,very early ways but I think this is,going to be a massive Trend and you know,very large businesses will get built,with this as the interface and more,generally that like these very powerful,models will will be,one of the genuine new technological,platforms which we haven't really had,since mobile,and there's always like an explosion of,new companies right after,so that'll be cool and and what do you,what do you things are,given that the large language model we,provided as an API service what are the,things that you think that folks who are,thinking about these kind of AI,businesses should think about is how do,you create an enduring differentiated,business so,you know they're they're I think there,will be a small handful of like,fundamental large models out there that,other people build on but right now what,happens is you know company makes large,language model API other people build on,top of it a

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Adept CEO David Luan and Stanford's Percy Liang | Progress from Large Language Models to AGI

okay David Percy I'm excited about this,um for those of you in the audience who,aren't familiar with these two gentlemen,uh Percy is the associate professor of,computer science and statistics at,Stanford where among other things he's,the director uh for the center for,research on Foundation models and David,is one of the co-founders and CEO of,adept an ml research and product lab,building general intelligence by,enabling humans and computers to work,together and before uh Adept David was,at Google leading a lot of the large,models effort and before that at open Ai,and we're fortunate to get to partner,with David and the team at Adept uh here,at Greylock Percy David thank you guys,for being here and for doing this so I,want to start high level and just start,with the state of the play,um there's a lot of talk about large,models and it's easy to forget that a,lot of the recent breakthroughs and,models that we're all familiar with like,Dolly and GPT or gpt3 are actually,fairly recent uh and so we're still in,the early Innings of these models,running in production and delivering,real concrete customer and user value,maybe just give us the say to play David,starting with you like where are we uh,with large scale models and what's the,state of deployment of these models,today,yeah I think the stuff is just,incredibly powerful but I think we're,still underestimating how much there is,left to run on this stuff like it's,still so incredibly early like just like,take a look at a couple different axes,right like when we were training these,models at Google it became incredibly,clear up front that like you could,basically take a lot of these hand,engineered machine learning models that,people had been spending a lot of their,time building like rip it out with this,giant model give it some fine-tuning,data uh and turn it into a smaller model,again and serve it and that would just,end up outperforming all these things,that people have done in the past and so,like the fact that like they're able to,uh to sort of improve existing things,that companies are already using machine,learning for but like also just like how,great it has been as a way to be able to,create brand new AI products I couldn't,access before like it's fascinating to,me to watch things like GitHub co-pilot,and like Jasper and stuff like that like,just like hit a nerve so fast and go,from zero to hero in terms of in terms,of of adoption I think we're just in the,very early Innings of seeing a lot more,of that so I think like that's axis one,I think axis 2 2 is just that like,primarily what we're talking about so,far has been language models right but,like there's so many other like,modalities sources of human knowledge,all of this stuff like what happens when,like like it's not just like predicting,the next token of text right it becomes,about predicting all of those other,different things and like we're going to,end up in a world where a lot of,Humanity's knowledge is going to get,encoded in li

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Document Control in Synergis Adept

document control is critical to the,entire engineering and design lifecycle,a DEP provides single and multi-site,companies with secured controlled access,to documents from any connected location,in this short video you'll learn how,adept will help you manage and control,enterprise documents secure and protect,your intellectual property ensure,everyone finds the latest version of any,document provide enterprises ability to,document status manage complex,interrelationships between documents and,limit distribution of uncontrolled,documents let's look at how easy it is,to get your documents under control with,adapt first you select the documents you,want to bring in to adapt you browse out,to your Windows folder structure then,specify whether or not you want add up,to manage new versions whether or not,you want to use the full-text search as,well as several other options before,in-depth scans the folder let's check,and see if there's any subfolders now,that we see the subfolders we can tell,adapt to synchronize both the parent and,sub folders when you synchronize adept,extracts attributes and properties from,the document understands all the file,relationships that may exist with,AutoCAD X references or SolidWorks or,inventor assemblies and will extract,thumbnails as well once the,pronunciation is complete you'll see a,list of all the files that were brought,in to adduct as well as the information,extracted from each document now that,the documents are in the depth the next,step for the administrator is to assign,rights to the libraries or folders on,the left of the screen you can see,there's tree structure of the folders we,just brought in for example the CAD,managers and designers will have the,right to check out files to make changes,and to participate in workflow,maintenance field engineers shopfloor,marketing contractors and vendors will,have the ability to view and markup,document and assigned files they mark up,for,review and for the document control,group they will have full access to,rename and delete files it's that simple,to set up access rights for our group of,folders with all this information in,adept you can type in some key,information that was extracted during,the synchronization let's say the,project name and then you'll get a list,of results of all the files that pertain,to that project all extracted attribute,and property data can be seen on the,data card the file relationships,including where used and composed of,information can be seen in the tree,structure another where used in children,tabs you can also see the extracted,thumbnail images without needing to open,the file now let's check out a file and,make a change to it users everywhere can,see this file status and who is working,on the document when the file is checked,out Adept locks the master file safely,on the server and places a copy in the,users work area for editing other users,can view the master but can't find out,for edit while someone else has it this,protects dupli

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Artificial Intelligence English Tutorial 3 : Depth Limited Search

hello viewers this is a little Islam I,would like to welcome all of you in this,video tutorial in this video digital I,will be explaining about depth limited,search algorithm after the after,watching this video of course you're,going to understand it very well,inshallah but before watching this video,you have to make sure that you have,watched my previous video on depth first,search make sure that you have watched,that video because if you haven't,watched that video then maybe you are,not going to understand many things from,this video tutorial so just go and watch,it okay so we're going on we are going,to learn how the depth limited search,works now what is that limited search,depth limited search is nothing it is,just a combination of DFS that means we,are going to see about the DFS,application here but there will be some,limitation of the level so you'll have a,limit for the level that means we,already have seen that we can call this,one as level 0 we know that we can call,this one as level 1 we can call this one,as level 2 and we can call this one as,level 3 fine so we will be using our DFS,but with some kind of limit for the,level so our goal node in this case is,11 and I will limit for this example,each to so level 0 level 1 level 2 so,this one is our boundary ok this one is,our limit level so we cannot go to level,3 because in the question I find out,that my level limit is 2 so I can go to,I can start from level 0 and I can go to,level 2 but you cannot use level 3,because here the limit is level 2 so we,are going to use DFS but there is a,limit for the DFS just this is nothing I,mean you can understand it very well,because you have understand the DFS very,well so you can work with DFS but you,have to remember you cannot go to the,level 3 because the limit is 2 so you,are going to use DFS here but there is a,limitation because we have find out that,there is a limit for the level ok so,let's get started so we are going to,start from,one because in DFS you have already seen,that you can start with the root node,then you can go to the left then you can,go to the right but remember our level,is two so we cannot go to the level,three we cannot visit it so our root,node is one we are going to start from,one then we have to come to the left,side as I already explained you so,website is again this is a root node,type reaching it down then again you can,come to the left side then you are,finished with the left and root you're,finished with root left you're finish,with root left then you can go to the,right again you're finished with root,and the left side now you can go to the,right and again this is the root so you,have to give the price is the priority,to the root node so you are going to,write it down three here then you can,come to the left side and after,finishing the left side only finishing,the left side you can go to the right,side so this is the end of our for this,video tutorial because I have already,told you this one it's very easy this,

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Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333

think it's possible that physics has,exploits and we should be trying to find,them arranging some kind of a crazy,quantum mechanical system that somehow,gives you buffer overflow somehow gives,you a rounding error in the floating,Point synthetic intelligences are kind,of like the next stage of development,and I don't know where it leads to like,at some point I suspect,the universe is some kind of a puzzle,these synthetic AIS will uncover that,puzzle and,solve it,the following is a conversation with,Andre capothy previously the director of,AI at Tesla and before that at open Ai,and Stanford he is one of the greatest,scientists engineers and Educators in,the history of artificial intelligence,this is the Lex Friedman podcast to,support it please check out our sponsors,and now dear friends here's Andre,capathi,what is a neural network and why does it,seem to uh do such a surprisingly good,job of learning what is a neural network,it's a mathematical abstraction of,the brain I would say that's how it was,originally developed,at the end of the day it's a,mathematical expression and it's a,fairly simple mathematical expression,when you get down to it it's basically a,sequence of Matrix multiplies which are,really dot products mathematically and,some nonlinearities thrown in and so,it's a very simple mathematical,expression and it's got knobs in it many,knobs many knobs and these knobs are,Loosely related to basically the,synapses in your brain they're trainable,they're modifiable and so the idea is,like we need to find the setting of The,Knobs that makes the neural nut do,whatever you want it to do like classify,images and so on and so there's not too,much mystery I would say in it like,um you might think that basically don't,want to endow it with too much meaning,with respect to the brain and how it,works it's really just a complicated,mathematical expression with knobs and,those knobs need a proper setting for it,to do something uh desirable yeah but,poetry is just the collection of letters,with spaces but it can make us feel a,certain way and in that same way when,you get a large number of knobs together,whether it's in a inside the brain or,inside a computer they seem to they seem,to surprise us with the with their power,yeah I think that's fair so basically,I'm underselling it by a lot because you,definitely do get very surprising,emergent behaviors out of these neurons,when they're large enough and trained on,complicated enough problems like say for,example the next uh word prediction in a,massive data set from the internet and,then these neurons take on a pretty,surprising magical properties yeah I,think it's kind of interesting how much,you can get out of even very simple,mathematical formalism when your brain,right now I was talking is it doing next,word prediction,or is it doing something more,interesting well definitely some kind of,a generative model that's a gpt-like and,prompted by you,um yeah so you're giving me a prompt and,I'm kind of l

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Use cases for AI large language models - GPT-3 + more - Robots, chatbots, writing, legal, search...

use cases for large language models like,gpt-3 just a few days ago there was an,old man yelling at a cloud we've,recreated him here using ai ai avatar,and an ai voice actually it's gnome,chomsky,first we should ask the question whether,large language models have achieved,anything,anything in this domain,answer no they have a cheap zero,he sounds pretty angry,uh for me this,really drives the point home that we,have to be careful about,who we listen to,and what we listen to of their content,here's a better person to listen to this,is the ceo of aleph alpha some of his,team were involved or linked to open ai,recreated gpt 2,did a lot of big stuff,he says,large language models can solve every,problem that can be expressed with,language,i think i prefer that quote as more,realistic let's have a look at some use,cases of large language models and ai,today so this is all as of july 2022,number one in the field of robotics this,actually happened a few days ago google,robotics expanded how they're feeding,their robots with transformers and they,fed it with the entirety of gpt-3 the,175 billion parameter model the davinci,model and here it's finding a soda there,are other examples where it is driving,around and finding landmarks based on,its natural language processing via,gpt-3 incredible stuff,number two literature writing books and,you know that i carry around these,copies with me this first one pharmacoar,written by gpt-3 with one of the guys,from google ai this second one a comic,book written by gpt3 and then,illustrated by vqgan plus clip there are,now hundreds of books written by,different large language models this one,has just arrived in my lap and it's a,fiction book for children,and it's quite thick written,co-authored with gpt-3 leanne has done,an amazing job with this one and there,are now hundreds of books written by,gpt-3 and other large language models,to be clear gpt 3 is not a chat bot it's,probably one percent of its capabilities,but it is a subset of its capabilities,so in the field of expertise across any,industry these chat bots are really,taking the world by storm you know that,replica now has over 20 million users,despite it using one of the smallest,language models in the world gpt2 with,just 1.5 billion parameters have a look,at this one ai21 just released it a few,weeks ago it's a model using,justice ruth bader ginsburg's 27 years,of data including her opinions media,interviews and public speeches,fine-tuned with ai21's jurassic 178b,model,software development and writing code,this one has been explosive,if you look at something like open ai's,codex which has been integrated into,github copilot they say 40 of newly,written code is generated using copilot,and 1.2 million users have played around,with it copilot is not the only kid on,the block there's also salesforce,codegen and amazon is playing around,with an ai as well,number five web search did you know that,every time you enter in a google search,it's using a transformer mode

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Data Brokers: Last Week Tonight with John Oliver (HBO)

moving on our main story tonight,concerns computers there's one in my,house one in my pocket and one on my,wrist and fun fact if they all broke at,the same time i die,more specifically we're going to talk,about the fact that we've all had,unsettling moments when it became clear,that our computer was monitoring our,activities a little more closely than we,might like after financial planner rod,lawrence opened a new office he used a,credit card to buy baby wipes to clean,the place he says after picking up just,one canister he was shocked to be,bombarded with targeted online ads for,other baby wipes and more children's,products something this single guy,around town says he's definitely not,interested in at least not now,yeah it's true poor rod got roped into,the modern update of hemingway's classic,story for sale baby shoes click here and,look of course rod didn't want that,he was a man about town he was only,interested in three things getting laid,getting paid and rocking the hell out of,some wrap around shades,but we have all found ourselves being,targeted by ads for something oddly,specific and thought how on earth did,they know to show me that and tonight,we're going to talk about who makes that,possible data brokers it's a,multi-billion dollar industry,encompassing everyone from credit,reporting companies to these weird,people finding websites that pop up,whenever you google the name of your,friends sketchy new boyfriend to these,names that you may never have heard of,but what all these companies have in,common is they collect your personal,information and then resell or share it,with others as one expert puts it,they're the middlemen of surveillance,capitalism which sounds like both a,horrific profession and also a b-plus,jake gyllenhaal thriller he's not a spy,and he's not a civilian he's the middle,man and ladies in this one he shows,trunk and look,i know it is not news that you get,tracked online in fact roughly six in,ten u.s adults say that they don't think,it is possible to go through daily life,without having data collected about them,by companies or the government making,four out of ten us adults embarrassingly,wrong but this this isn't just about the,convenience and or irritation of,targeted ads data brokers operate in a,sprawling unregulated ecosystem which,can get very creepy very fast,the major u.s retailer officemax knew,not only that mike say's daughter was,dead but how she died it says mike say,daughter killed in car crash,or current business and this is my home,why would they have that kind of,information why would they need that,right and obviously that is completely,appalling but i will say it is not that,surprising to me that officemax was,behind that as they're clearly not,entirely on top of their if you,google officemax right now the people,also ask questions include and this is,true is officemax the same as office,depot,is office max and staples the same and,does officemax exist,the truth is when it comes to data,brokers

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Revision and Version Control in Synergis Adept

a Deb subversion control enables users,to keep track of multiple versions over,time without having to rename or move,revisions into separate special folders,when you search for files and Adept,you only locate the latest version it's,only upon selecting the versions tab in,the document dashboard that you'll see,the older versions listed a death keeps,track of a new version the minuted,document is checked out when a file is,checked out a depth locks the current,revision safely on the server while a,copy is placed in your personal work,area for changes no other user can edit,the locked file while someone has it,checked out this safe edit feature,prevents accidental overwrites ensures a,single version of the truth for,customers using CAD systems like AutoCAD,inventor or SolidWorks I'd out to ensure,that all file relationships stay intact,as revisions are created when a user's,finished editing and checks the document,back in a depth load to keep track of,the older version inputted into the,history the adaptive version field,increments automatically whenever files,are checked in and out some of our,customers also track their own revision,field allowing them to track revision,history of files created before a death,was in place and allowing them to,control when major revisions letters or,numbers are incremented Adept also has,an auto revision feature that will,automatically bump the letter or the,number based on a set of rules or,triggers in this case the revision will,be bumped to the next value upon check,in keeping track of all the multiple,revisions can be very useful to allow,you to see what has happened to the,document content in the past for example,here I'm going to select the latest,version and an older version a Demps,integrated visualization tool allows you,to view both versions at the same time,using the compared command you can show,both versions next to each other and,also create an overlay of them in,this third view you can see exactly the,differences of what was added and,removed in different colors this compare,feature can be extremely useful if you,send out drawings to vendors contractors,or other external partners,driving to the revision history can also,be copied out to make new drawings allow,you to reuse the geometry,I kept also gives you the ability to,revert back to a previous version making,it the current version if you're,interested in learning more about it,depths of version control capabilities,please visit our resource center a,surgeon software comm

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Webinar: Synergis Adept for Utilities and Power Industries

hello everyone and welcome to today's,webinar my name is Chris Fabri director,of solutions architects and customer,advocacy at synergists I've been in this,business for well over thirty years and,I've been with synergist for 16 of those,we're really excited to share with you,the value a debt provides and to answer,any questions that you may have now just,a little bit about synergists synergist,at we at centers have been developing,implementing and supporting engineering,document management solutions for more,than 26 years our flagship product,synergist adept helps companies find,manage share and control engineering and,business content throughout the life,cycle of a project product or facility,more than 70 thousand users worldwide,benefit from a depth across a variety of,industry sectors our customers range,from process manufacturers to utilities,mining and metals oil and gas,engineering and construction contractors,discrete or industrial manufacturers,those with buildings and facilities to,manage and pharmaceuticals just to name,a few our flagship engineering document,management solution is synergist adept,the simplicity of adept is key dr. Joel,or of Scion research called it simple,power and we think that says it says it,all it's an enterprise solution that's,incredibly easy to implement use and,maintain offering unmatched time to,value and ROI here's a closer look at,some of the utilities we work with as,our customers they include they're,included in here our investor owned,electric cooperatives and municipal or,public power utilities with locations,throughout North America and some even,beyond in today's presentation will be,discussing the top five challenges that,our customers tell us they're facing in,today's uncertain economic environment,many of the these challenges have become,more complex than ever,largely due to the pressures of,organizational and energy models the,increased need to secure capital assets,against outside threats,need to comply with stricter government,regulations all bounded by an added loss,of key tribal knowledge as longtime,staff retires and given these challenges,it's more important than ever to gain,control and secure access over all of,your engineering and maintenance assets,and information the problem is the,faster that it's become overwhelming for,most utilities to manage according to a,recent paper from utility dive 2017,state of the electric utility the five,top challenges we've identified are,among the top 10 ranked in their survey,but before we make any assumption about,you or our audience we'd like to know,which of these challenges is truly most,important to you folks to solve in the,short term so I'm going to launch a,quick poll here and we'll see if we can,get this on the screen for you folks to,answer and I'll give you a few seconds,here to choose these are multiple choice,so pick all that apply to you,for some of you it's going to be more,about how to just mitigate that risk for,some it might be just fi

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