How I Learn Complicated SH*T 1000x Faster with A.I (Copy Me)

00:15:00
https://www.youtube.com/watch?v=wM0yMZYi4rk

Résumé

TLDRThe video emphasizes learning AI efficiently by utilizing three key tools: Google Flash 2.0, Claude 3.5, and Notebook LM. The speaker illustrates their personal workflow to accelerate learning in AI by engaging with these tools. Google Flash 2.0 serves as an interactive guide for building automations, displaying its capability to converse and assist with the task at hand. Claude 3.5 acts as a problem-solving tool, especially useful for debugging by analyzing automation files and offering resolutions to issues encountered. Notebook LM is highlighted as a vital resource for deep learning, as it compiles and converts large amounts of information into a digestible podcast format, aiding in comprehensive understanding of complex subjects. Through this method, the speaker claims to have advanced their learning exponentially, suggesting that others could achieve similar results by adopting this strategic combination of AI tools. Moreover, the video walks through specific examples, such as building a YouTube video automation, demonstrating the practical application of these tools.

A retenir

  • 💡 Learn AI faster using a strategic combination of tools.
  • 🛠️ Google Flash 2.0 helps build automations through interactive guidance.
  • 🐞 Claude 3.5 resolves errors by analyzing files like debugging.
  • 🧠 Use Notebook LM for deep learning by transforming info into podcasts.
  • 📚 Practical application enhances understanding beyond traditional methods.
  • 🔄 Integrate tools for a comprehensive learning approach.
  • 📈 Speaker claims to learn 1000x faster by using these tools.
  • 🌐 Advent of AI tools in accelerating learning processes.
  • 📊 Example project involves automation to scrape YouTube videos.
  • 🎓 Teaching method focuses on simplicity and iterative learning.

Chronologie

  • 00:00:00 - 00:05:00

    The speaker shares their journey and tips for accelerating learning in AI using Google Flash 2.0, Claude 3.5, and Notebook LM. Initially, they demonstrate the use of Google Flash 2.0 for building an automation on make.com, highlighting its capability to guide users interactively through tasks, enhancing the learning-by-doing approach. The speaker outlines the process where they aim to scrape YouTube videos using the Apify platform and use Google Flash to systematically break down the necessary modules in the automation setup process.

  • 00:05:00 - 00:15:00

    They continue by explaining the integration of Claude 3.5 as a tool for troubleshooting and optimizing automations when Google Flash can't solve errors. By exporting the automation script as a JSON file to Claude, users gain insights on improvements and solutions to errors. Further, the speaker introduces Notebook LM as a tool for collating and learning complex new concepts efficiently. They describe how combining various information sources into a 'podcast-like' format helps deeply understand topics, demonstrated through a Monopoly game strategy example. The speaker concludes that this toolset, when used consecutively, significantly enhances their ability to grasp AI concepts rapidly.

Carte mentale

Vidéo Q&R

  • What is the main topic of the video?

    The video explains how to use Google Flash 2.0, Claude 3.5, and Notebook LM to learn AI faster through practical application and problem-solving.

  • How is Google Flash 2.0 used in learning AI?

    Google Flash 2.0 guides you in building automations by providing step-by-step instructions and interactively building projects.

  • What role does Claude 3.5 play in the learning process?

    Claude 3.5 is used to analyze and solve errors in automation files, similar to debugging.

  • How does Notebook LM assist in learning complicated topics?

    Notebook LM helps by allowing the import of up to 50 information sources, then converting these into a podcast format for easier learning.

  • How does the speaker claim to learn faster than others?

    The speaker achieves faster learning by integrating practical usage of tools, quickly solving problems, and consuming dense information efficiently.

  • What is the relationship between Claude and Gemini in the workflow?

    Claude gives strategies for building automations and solving errors, while Gemini offers step-by-step guidance for building projects using the tools.

  • How do these tools combine to enhance learning beyond traditional methods?

    By enabling learning through doing, solving problems in real-time, and converting complex materials into simpler formats.

  • What is recommended for building AI-related projects quickly?

    They use a blend of AI tools to build automations, solve problems, and digest information across various fields of interest.

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Sous-titres
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Défilement automatique:
  • 00:00:00
    and so learning things from scratch
  • 00:00:02
    would be notebook LM once you learn it
  • 00:00:04
    then you can implement it with Google
  • 00:00:05
    Flash and then once you run into some
  • 00:00:07
    errors with Google Flash you can ask
  • 00:00:09
    Claude on how to actually fix the errors
  • 00:00:11
    so basically everyone that's watching
  • 00:00:13
    this video I want you to know that we're
  • 00:00:14
    on the same IQ level most likely I'm not
  • 00:00:17
    anything special but since I've been in
  • 00:00:19
    AI for a couple of years I know exactly
  • 00:00:21
    what tools to use to learn things a
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    thousand times faster and I'm not even
  • 00:00:25
    kidding when I say a thousand times
  • 00:00:26
    faster because over the past 6 months
  • 00:00:28
    not only have I made the money in my
  • 00:00:30
    entire life but I'm learning at a rate
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    that's allowing me to just get ahead of
  • 00:00:34
    everyone and so in this video guys my
  • 00:00:36
    goal is to share the three exact tools
  • 00:00:38
    that I use to learn things as fast as
  • 00:00:41
    humanly possible and I hope it helps you
  • 00:00:44
    guys when you're building out your
  • 00:00:45
    agencies building out your automations
  • 00:00:47
    and building out your AI softwares so
  • 00:00:49
    like subscribe without further Ado let's
  • 00:00:51
    Dive Right into this video Boys So today
  • 00:00:53
    we're going to be talking about three
  • 00:00:54
    specific examples and how I use these
  • 00:00:57
    three tools to actually learn things and
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    Implement my automations or build
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    softwares faster than most people and
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    the first one we're going to talk about
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    guys is Google flash 2.0 because Google
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    Flash 2.0 was the first AI model that
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    can not only see your screen but can
  • 00:01:10
    conversate with you about the
  • 00:01:12
    information that's on your screen so in
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    this example we're going to build out an
  • 00:01:15
    automation together but we're going to
  • 00:01:16
    build it out by having Google Flash tell
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    us exactly what to do and so the
  • 00:01:21
    beautiful thing about this is that
  • 00:01:22
    you're going to be learning by doing now
  • 00:01:25
    the next one is Claude 3.5 and so what I
  • 00:01:27
    love to use Claud for is actually
  • 00:01:30
    sending in my automation files when
  • 00:01:32
    they're broken because Claude can read
  • 00:01:35
    the Json file that your automations are
  • 00:01:37
    written in I'm going to show you guys
  • 00:01:39
    exactly how we use that in today's video
  • 00:01:40
    as well and what I'm most excited for
  • 00:01:42
    guys is notebook LM because what
  • 00:01:44
    notebook LM does that the other two
  • 00:01:47
    don't do is that it basically allows you
  • 00:01:48
    to conversate with an AI model that is
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    trained on all of the information that
  • 00:01:53
    you send it and you're able to
  • 00:01:55
    conversate it in the way that you're
  • 00:01:56
    talking to like a professor and so this
  • 00:01:59
    hands down is the best formula to learn
  • 00:02:02
    anything from scratch because if you
  • 00:02:04
    don't know anything especially if it's a
  • 00:02:06
    really complicated concept you're going
  • 00:02:08
    to want to learn by having someone
  • 00:02:10
    explain it to you in simple English you
  • 00:02:12
    don't want someone to be like oh yeah
  • 00:02:13
    you know an edge function is basically a
  • 00:02:15
    serverless function that occurs between
  • 00:02:17
    the client and the server on this like
  • 00:02:19
    you know close to the server no
  • 00:02:21
    that you want to be able to learn in
  • 00:02:23
    simple English and so we're going to get
  • 00:02:25
    into that as well so let's break down
  • 00:02:27
    the first example in today's video which
  • 00:02:29
    is Google FL 2.0 what we're going to do
  • 00:02:31
    is we're going to go into a make.com
  • 00:02:33
    Automation and we're actually going to
  • 00:02:34
    build it from scratch and the way that
  • 00:02:36
    we're going to do this is we're going to
  • 00:02:37
    give our Google AI Studio access to view
  • 00:02:40
    this automation screen and we're going
  • 00:02:42
    to conversate with it to actually build
  • 00:02:44
    out our first Automation and so when you
  • 00:02:46
    guys are building out your automations
  • 00:02:47
    from scratch and not using a blueprint
  • 00:02:49
    that I'm giving you this is exactly how
  • 00:02:51
    I do it and we're going to choose the
  • 00:02:53
    output format today as audio but you can
  • 00:02:55
    also switch it to text which is also
  • 00:02:57
    really really useful but today we're
  • 00:02:59
    just going to keep it as audio now we're
  • 00:03:00
    going to make the screen half the size
  • 00:03:02
    we're going to drag this down and then
  • 00:03:03
    we're going to click share screen and so
  • 00:03:05
    the screen window that we're going to
  • 00:03:07
    choose is the make.com scenario and so
  • 00:03:09
    the moment that I click this I'm
  • 00:03:11
    actually going to begin my conversation
  • 00:03:12
    with the AI studio so let's start that
  • 00:03:14
    right now hey Gemini so I want us to
  • 00:03:16
    build a make.com automation together
  • 00:03:18
    that scrapes YouTube videos and I want
  • 00:03:21
    to use this platform called appify to do
  • 00:03:23
    it and I want you to basically break
  • 00:03:25
    down the first modules that I need to
  • 00:03:27
    actually build out this automation
  • 00:03:31
    all right the user wants to build a
  • 00:03:32
    make.com automation that scrapes YouTube
  • 00:03:35
    videos and use the platform called
  • 00:03:37
    appify to do it they also want you to
  • 00:03:39
    break down the first modules that are
  • 00:03:41
    needed to build out this automation
  • 00:03:43
    would you like to proceed with that yeah
  • 00:03:45
    tell me what to do okay the first step
  • 00:03:46
    is to add a new scenario to the make.com
  • 00:03:49
    platform which can be done by clicking
  • 00:03:51
    the new scenario button at the top left
  • 00:03:53
    of the screen after this you'll need to
  • 00:03:55
    choose your trigger which in this case
  • 00:03:57
    would be YouTube do you want to proceed
  • 00:03:59
    with these steps yep let's do that so um
  • 00:04:02
    should let's start with the first module
  • 00:04:03
    great you've created a new scenario now
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    you need to select the first module you
  • 00:04:08
    can do that by clicking the plus sign in
  • 00:04:10
    the middle of the screen do you want to
  • 00:04:12
    continue yep so I'm going to click this
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    plus button in the middle of the screen
  • 00:04:15
    now what what module should I
  • 00:04:18
    choose okay since you are trying to
  • 00:04:20
    scrape YouTube videos you should choose
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    the YouTube
  • 00:04:24
    module okay and then I'm inside of the
  • 00:04:26
    YouTube module now which which trigger
  • 00:04:28
    should I choose
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    okay you're inside the YouTube module
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    since you want to scrape videos you'll
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    need to pick a trigger would you like to
  • 00:04:38
    watch videos in a channel search for
  • 00:04:39
    videos watch videos in a playlist or
  • 00:04:42
    watch new comments I think I want to do
  • 00:04:44
    it when the video um when a video is
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    published on my
  • 00:04:49
    Channel all right then you should choose
  • 00:04:51
    watch videos in a channel as your
  • 00:04:53
    trigger and then so you would then
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    continue to go through this entire
  • 00:04:55
    automation to actually get what you want
  • 00:04:57
    to solve right so that was our quick
  • 00:05:00
    little tutorial with Gemini because as
  • 00:05:02
    you go through this automation Gemini is
  • 00:05:04
    going to have more context of the
  • 00:05:06
    automation so it's going to be able to
  • 00:05:07
    help you more and more as it gains an
  • 00:05:09
    understanding of what it's looking at
  • 00:05:11
    and so the first step that it told us to
  • 00:05:13
    do was actually correct because when you
  • 00:05:15
    open up this module you could literally
  • 00:05:17
    just choose the YouTube account that you
  • 00:05:19
    are attach that you want to uh attach
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    this to and it'll trigger every single
  • 00:05:23
    time a video gets made and then so from
  • 00:05:25
    there let's just say we wanted to get
  • 00:05:27
    the script of the video then I would ask
  • 00:05:29
    Gemini how do I get the script from the
  • 00:05:30
    video it'll say okay do this open that
  • 00:05:33
    module etc etc etc now let's say we
  • 00:05:36
    reached a point in the automation where
  • 00:05:38
    Gemini couldn't solve the error that is
  • 00:05:42
    where you then bring in Claude so that's
  • 00:05:44
    where we talk about the second part of
  • 00:05:46
    this entire learning curve right so the
  • 00:05:48
    cloud 3.5 step so let's just say we ran
  • 00:05:50
    into an error here all we would have to
  • 00:05:52
    do is Click export blueprint and we can
  • 00:05:54
    literally just go into Cloud right here
  • 00:05:56
    and we can drag in the Json file so we
  • 00:05:58
    can literally just say hey I want to
  • 00:06:02
    build script into a air table
  • 00:06:06
    database so now Claud is literally going
  • 00:06:08
    to analyze the automation that we sent
  • 00:06:11
    it and so all we sent it was that one
  • 00:06:13
    YouTube module automation so it's not
  • 00:06:15
    going to give us you know too much
  • 00:06:17
    breakdown of what's wrong with
  • 00:06:18
    automation but as you guys can see here
  • 00:06:20
    in our response it's going to now tell
  • 00:06:22
    us what we need to do next right so
  • 00:06:24
    after the YouTube trigger you'll need to
  • 00:06:25
    add these modules in sequence so YouTube
  • 00:06:29
    then get video detail transcript and
  • 00:06:31
    then air table create the record to
  • 00:06:33
    store the transcript right and then so
  • 00:06:35
    you can go ahead and you can try what
  • 00:06:37
    what claw just said said to you and you
  • 00:06:39
    can have Gemini watch as you do it and
  • 00:06:41
    so these two work handin hand absolutely
  • 00:06:44
    beautifully when it comes to actually
  • 00:06:45
    learning something from scratch but now
  • 00:06:47
    guys let's talk about notebook LM
  • 00:06:49
    because what notebook LM does is it
  • 00:06:51
    allows you to send up to 50 different
  • 00:06:53
    file sources to One Singular location
  • 00:06:56
    and that singular location then converts
  • 00:06:59
    all of that information into a freaking
  • 00:07:01
    podcast and so this is where you want to
  • 00:07:03
    send in the concepts that are the most
  • 00:07:06
    new to you things that you have seen
  • 00:07:08
    recently that you've never learned in
  • 00:07:09
    your life that is exactly when you use
  • 00:07:11
    notebook LM because you can send it all
  • 00:07:13
    of this information and so in this
  • 00:07:15
    example guys let's say I was trying to
  • 00:07:17
    learn how to play the game of Monopoly
  • 00:07:19
    like the best players in the world okay
  • 00:07:21
    so now that we're back in the computer
  • 00:07:22
    guys we're going to open up notbook LM
  • 00:07:24
    we're going to create a new
  • 00:07:26
    conversation and here's where we start
  • 00:07:28
    uploading all of the different sources
  • 00:07:29
    right and so the way that I do this is
  • 00:07:31
    by using two different AI models that
  • 00:07:33
    are both free the first one is
  • 00:07:35
    perplexity because perplexity can grab
  • 00:07:38
    data from the internet with citations so
  • 00:07:40
    it's not just giving you information
  • 00:07:42
    it's also showing where it came from and
  • 00:07:44
    we can send those links to notebook LM
  • 00:07:46
    so in this example I'm going to write I
  • 00:07:48
    want
  • 00:07:50
    to become the best Monopoly player but I
  • 00:07:54
    don't know how the game is played break
  • 00:07:58
    down how to become the best player in
  • 00:08:02
    the world okay so now that we got that
  • 00:08:04
    response guys we can see that it gave us
  • 00:08:07
    10 different sources that we can now
  • 00:08:09
    copy and paste into that notebook LM
  • 00:08:11
    right so I'm going to copy this link
  • 00:08:13
    address we're going to go back into
  • 00:08:14
    notebook LM and now we can just start
  • 00:08:16
    pasting these website URLs right so
  • 00:08:18
    we're just going to insert one we can
  • 00:08:20
    grab this one we would then add this one
  • 00:08:22
    in insert now we can also enter in uh a
  • 00:08:25
    whole text field as well and so we would
  • 00:08:27
    go into Claud and we would just be like
  • 00:08:29
    break down in depth the
  • 00:08:32
    strategy that the best players in the
  • 00:08:35
    world use for the game Monopoly on one
  • 00:08:39
    side we're getting the links of how how
  • 00:08:41
    the game of Monopoly is actually played
  • 00:08:42
    and on the other side we're getting the
  • 00:08:44
    information on how to actually become
  • 00:08:46
    the best Monopoly player in the world by
  • 00:08:48
    analyzing what the best players in the
  • 00:08:50
    world are already doing and so this is
  • 00:08:52
    going to be a completely different
  • 00:08:53
    inputs that we give to the notebook LM
  • 00:08:56
    and so as you guys can see Claud is
  • 00:08:57
    absolutely churning out out thousands of
  • 00:09:00
    tokens breaking down this entire
  • 00:09:02
    strategy right and so we're just going
  • 00:09:04
    to copy the text version and we're going
  • 00:09:07
    to go back into notebook LM we're going
  • 00:09:10
    to add the source and here we have the
  • 00:09:12
    copy text field so we're going to go
  • 00:09:14
    into there we're going to paste that
  • 00:09:15
    baby in Click insert and so now we have
  • 00:09:18
    in my opinion enough sources to actually
  • 00:09:20
    generate this podcast and so that's what
  • 00:09:22
    we're going to do next and while that
  • 00:09:23
    conversation is happening guys feel free
  • 00:09:25
    to hit this video with a like And
  • 00:09:26
    subscribe if you guys are looking to
  • 00:09:28
    build your own AI agent your own AI
  • 00:09:30
    automations or your own AI software
  • 00:09:32
    companies then definitely consider
  • 00:09:33
    joining the no code academy because
  • 00:09:34
    we're trying to build one of the dopest
  • 00:09:36
    communities of people that are all
  • 00:09:37
    like-minded in one of those three Fields
  • 00:09:39
    all working together to you know hit
  • 00:09:41
    their goals in 2025 all right guys so
  • 00:09:43
    the the podcast has now been generated
  • 00:09:45
    and so we can literally just hop into it
  • 00:09:47
    and and actually start a conversation
  • 00:09:49
    and so I'm going to start the podcast
  • 00:09:50
    and then when I feel I need to now ask a
  • 00:09:53
    question I'll pause it and then you'll
  • 00:09:54
    see how I'm going to learn how the game
  • 00:09:56
    of Monopoly played and how I'm going to
  • 00:09:58
    start formulating my own strategy to win
  • 00:10:00
    so let's start okay so someone sent in a
  • 00:10:03
    whole bunch of articles about Monopoly
  • 00:10:06
    strategy which I got to say kind of
  • 00:10:08
    tells me you're not messing around oh
  • 00:10:10
    yeah someone's looking to be a real
  • 00:10:12
    estate mobile for sure even if it's just
  • 00:10:14
    on that little cardboard board right it
  • 00:10:16
    certainly seems that way yeah and and uh
  • 00:10:19
    you've got some really great sources
  • 00:10:20
    here too oh yeah I mean we've got
  • 00:10:22
    everything from just the basic rules to
  • 00:10:24
    like tips for family games all the way
  • 00:10:26
    to oh wait someone wants to join hey go
  • 00:10:29
    for it hey guys so the first thing I
  • 00:10:31
    want to learn here is just how the game
  • 00:10:33
    is played so can you just quickly
  • 00:10:35
    summarize how the game is played first
  • 00:10:37
    absolutely I'm glad you asked that's a
  • 00:10:38
    great place to start yeah it's good to
  • 00:10:39
    make sure we're all on the same page so
  • 00:10:42
    at its heart Monopoly is about becoming
  • 00:10:44
    the ultimate landlord yeah the one with
  • 00:10:46
    all the cash and all the property and
  • 00:10:47
    everyone else is bankrupt right aha
  • 00:10:49
    that's the goal yeah so you move around
  • 00:10:52
    the board by Rolling Dice uhhuh and then
  • 00:10:55
    you can buy the properties you land on
  • 00:10:57
    exactly if they aren't owned yet and if
  • 00:10:58
    you don't buy there might be an auction
  • 00:11:01
    right and once you own properties you
  • 00:11:03
    can develop them with those houses and
  • 00:11:05
    hotels to charge even more rent and
  • 00:11:07
    there are those
  • 00:11:08
    chance okay so now I'm going to ask
  • 00:11:10
    about the strategy because let's say I
  • 00:11:11
    now learn I now know how to play the
  • 00:11:13
    game so let's talk about strategy
  • 00:11:14
    Community chess card oh back to our
  • 00:11:16
    listener so I want to now know like how
  • 00:11:18
    to like what the strategy I should have
  • 00:11:21
    to actually win this next game in monopo
  • 00:11:23
    I'm playing because I'm playing against
  • 00:11:24
    some friends for like $1,000 so what
  • 00:11:26
    would be like the best strategy that you
  • 00:11:28
    could give me absolutely that's a great
  • 00:11:30
    question and a very practical one yeah a
  • 00:11:32
    dollar is a lot of money if you're
  • 00:11:33
    playing Monopoly with friends so you're
  • 00:11:36
    looking for some concrete strategies to
  • 00:11:38
    win your next game and we've got just
  • 00:11:40
    the stuff for you so we can definitely
  • 00:11:42
    get into that we were just about to talk
  • 00:11:44
    strategy actually right so let's jump
  • 00:11:47
    right into the deep end yeah that'll
  • 00:11:48
    make you a serious force to be reckoned
  • 00:11:50
    with we've got some great insights here
  • 00:11:52
    like the eight tips to win monopoly okay
  • 00:11:54
    and then we also have the rules straight
  • 00:11:56
    from Guru blog and then this other
  • 00:11:57
    source that seems to be on a whole l
  • 00:11:59
    other level yeah it's like a monopoly
  • 00:12:00
    Championship Playbook it's
  • 00:12:02
    intense Let's uh let's not get ahead of
  • 00:12:04
    ourselves here but if you're oh yeah
  • 00:12:06
    okay let's let's break down the
  • 00:12:07
    championship Playbook absolutely that's
  • 00:12:10
    a great idea yeah let's dive straight
  • 00:12:11
    into the deep end so this Championship
  • 00:12:13
    Playbook as you called it yeah I like
  • 00:12:15
    that it really emphasizes the different
  • 00:12:18
    phases of the game okay it breaks down
  • 00:12:21
    strategies into early mid and late game
  • 00:12:25
    okay that makes sense and it's not just
  • 00:12:27
    about the rules it's also about
  • 00:12:29
    understanding your opponents right so
  • 00:12:31
    let's get into those strategies yeah
  • 00:12:33
    let's do it starting with the early game
  • 00:12:35
    all right the focus is all about
  • 00:12:37
    property acquisition okay that makes
  • 00:12:39
    sense the goal is to buy as many
  • 00:12:41
    properties as possible even if it means
  • 00:12:43
    spending a lot of your cash EXA that's
  • 00:12:45
    actually that's actually really good
  • 00:12:46
    advice in the short term in in the
  • 00:12:48
    beginning part of the game no matter
  • 00:12:49
    what property you land on you should be
  • 00:12:51
    purchasing it so that's perfect because
  • 00:12:52
    you know you can make trades or whatever
  • 00:12:54
    so now let's talk about the end game and
  • 00:12:55
    then we'll finish out this video that
  • 00:12:57
    having more property oh yeah okay so
  • 00:13:00
    that was pretty cool about your
  • 00:13:01
    breakdown of the early game strategy so
  • 00:13:03
    now let's talk about the end game
  • 00:13:04
    strategy what should I do to actually
  • 00:13:05
    beat the last player I'm up against
  • 00:13:08
    absolutely I'm glad you're finding this
  • 00:13:09
    helpful and it's great you're thinking
  • 00:13:10
    ahead to the late game yeah it's good to
  • 00:13:12
    focus on how to win especially if you're
  • 00:13:14
    down to the final player so let's skip
  • 00:13:16
    right ahead to that late game strategy
  • 00:13:18
    then yeah and we'll make sure you are
  • 00:13:20
    equipped to dominate that last player
  • 00:13:22
    this championship play book we've been
  • 00:13:23
    talking about it really shines in the
  • 00:13:25
    late game yeah it's when things get
  • 00:13:27
    really strategic so in the late game the
  • 00:13:29
    key is all about survival and squeezing
  • 00:13:32
    out the last player yeah every move
  • 00:13:34
    counts at that point exactly so the
  • 00:13:36
    house shortage tactics we touched on
  • 00:13:38
    those become crucial right you're not
  • 00:13:40
    trying to build up more houses
  • 00:13:42
    necessarily you're now trying to
  • 00:13:44
    strategically hoard them okay so to
  • 00:13:46
    prevent the last player from developing
  • 00:13:48
    precisely by keeping a three house
  • 00:13:50
    balance on your properties you prevent
  • 00:13:52
    them from building hotels and racking up
  • 00:13:54
    those High rents oh that's a key move to
  • 00:13:56
    keep them under pressure okay guys so
  • 00:13:58
    that's really high level what they just
  • 00:14:00
    said right there because in the game of
  • 00:14:01
    Monopoly there's only a certain amount
  • 00:14:03
    of houses that are available in the
  • 00:14:05
    entire game and so if you strategically
  • 00:14:07
    put houses on your property so that
  • 00:14:09
    other people can't buy those houses
  • 00:14:11
    instead of upgrading your houses to a
  • 00:14:13
    hotel which would then put the houses
  • 00:14:15
    back into circulation you should just
  • 00:14:16
    sit on those houses so they can't build
  • 00:14:19
    and that's absolutely beautiful and
  • 00:14:20
    that's something that you should do at
  • 00:14:22
    the end of the game and so Monopoly guys
  • 00:14:24
    obviously is not a super highle thing to
  • 00:14:26
    understand but the example of Monopoly
  • 00:14:29
    definitely demonstrates how indepth the
  • 00:14:32
    uh notebook LM can go with basically any
  • 00:14:35
    topic that you send it and we only sent
  • 00:14:37
    in three different sources right so you
  • 00:14:39
    can send up to 50 sources and so
  • 00:14:42
    learning things from scratch would be
  • 00:14:43
    notebook LM once you learn it then you
  • 00:14:46
    can implement it with Google Flash and
  • 00:14:48
    then once you run into some errors with
  • 00:14:49
    Google Flash you can ask Claude on how
  • 00:14:52
    to actually fix the errors and so this
  • 00:14:53
    is the workflow that I'm personally
  • 00:14:55
    using to get ahead in learning AI as
  • 00:14:58
    fast as humanly possible so
Tags
  • AI Learning
  • Google Flash 2.0
  • Claude 3.5
  • Notebook LM
  • Automation
  • Problem-solving
  • AI Tools
  • Accelerated Learning
  • Deep Learning
  • Podcast Conversion