MIND BLOWING AI Voice (NotebookLM) & My AI Favorite Workflows
Summary
TLDRDans ce script de vidéo, l'hôte explore l'utilisation avancée des outils d'IA pour améliorer le workflow de codage. Il partage son expérience avec Cursor AI, un outil qui permet de rédiger du code de manière plus efficace en utilisant des techniques de prompting avancées. Le script illustre également comment transformer des vidéos YouTube en transcriptions grâce à un script Python, puis comment utiliser ces transcriptions pour créer des résumés structurés avec l'aide d'IA. L'hôte conclut en montrant comment intégrer ces informations dans Google's Notebook LM pour générer une interprétation audio d'un podcast basée sur le contenu, offrant une nouvelle dimension à l'apprentissage et à la productivité.
Takeaways
- 😲 L'auteur est impressionné par la capacité des outils AI à interpréter et transformer du contenu en une expérience audio riche et structurée.
- 🧠 L'utilisation de l'IA pour créer des scripts de podcast à partir de contenus textuels est une approche innovante pour la diffusion d'informations.
- 💻 L'importance de la communication efficace avec les outils AI de codage est soulignée, en utilisant des métaphores de la vie quotidienne pour clarifier les demandes.
- 🔍 L'auteur utilise divers outils AI pour collecter et traiter des informations, montrant comment ils peuvent être combinés pour améliorer la productivité.
- 📝 L'intégration de l'IA dans les workflows de codage est expliquée, mettant l'accent sur la rédaction de requêtes précises pour obtenir des résultats optimaux.
- 🛠️ L'utilisation de balises XML dans les requêtes pour structurer et clarifier les demandes est présentée comme une technique efficace.
- 🤖 La distinction entre les modèles d'IA, tels que les modèles GPT-3 et Claude, est abordée, expliquant leurs forces et faiblesses respectives.
- 🚀 L'IA est utilisée pour générer des transcriptions de vidéos YouTube, transformant des données non structurées en informations exploitables.
- 🎧 La création d'un podcast à partir de transcriptions de vidéo est une démo pratique de la puissance des outils AI pour la création de contenu audio.
- 📚 L'auteur recommande l'exploration des différentes fonctionnalités des outils AI, comme la génération d'audio et de transcriptions, pour enrichir les workflows personnels.
Q & A
Quel est le but principal de la vidéo?
-Le but principal de la vidéo est de partager des workflows d'AI avancés et démontrer comment utiliser divers outils AI pour améliorer la productivité et la qualité du travail, en particulier dans le domaine du codage.
Comment l'interprétation podcast-style AI est-elle créée?
-L'interprétation podcast-style AI est créée en collectant des informations à l'aide d'outils AI, puis en les alimentant dans un modèle de notebook LM développé par Google pour générer une interprétation audio des points clés du contenu.
Quels sont les outils AI mentionnés dans le script pour améliorer la codification?
-Les outils AI mentionnés comprennent Cursor AI, perplexity, Search DPT et l'utilisation de modèles OpenAI tels que l'01 et le CLA 3.5 pour améliorer la codification.
Quelle est la différence entre l'utilisation d'un modèle 01 et de CLA 3.5 selon le script?
-Les modèles 01 sont conçus pour les projets à grande échelle nécessitant beaucoup de puissance de codage, tandis que le CLA 3.5 est mieux adapté aux tâches de codage quotidiennes et aux besoins d'itérations rapides.
Comment le script suggère-t-il d'utiliser efficacement Cursor AI pour la codification?
-Le script suggère d'utiliser Cursor AI en tant que copilote de codage, en communiquant clairement avec l'AI pour obtenir des résultats exceptionnels, en utilisant des techniques avancées de prompting comme les balises XML et le role-playing.
Quels sont les avantages de l'utilisation de balises XML dans les prompts selon le script?
-Les balises XML aident à structurer et à clarifier les instructions fournies à l'AI, ce qui permet aux modèles de mieux comprendre les objectifs et de générer du code de haute qualité.
Pourquoi le script compare-t-il les modèles 01 à des supercars et le CLA 3.5 à un SUV fiable?
-Cette comparaison illustre la puissance et la capacité de traitement des modèles 01 pour les grands projets, tout en soulignant l'efficacité et la rapidité du CLA 3.5 pour les tâches de codage quotidiennes.
Quelle est la technique de prompting mentionnée dans le script pour simplifier les projets complexes?
-La technique de prompting mentionnée est la division du projet en parties plus petites et plus gérables, ce qui permet de guider l'AI étape par étape et d'éviter les erreurs.
Comment le script explique-t-il l'importance de choisir le bon modèle AI pour la tâche en main?
-Le script explique que le choix du bon modèle AI dépend des besoins spécifiques du projet, en utilisant l'analogie de choisir le bon outil pour un travail particulier, mettant en évidence les avantages respectifs des modèles 01 et du CLA 3.5.
Quelle est la conclusion du script sur l'utilisation des outils AI pour améliorer la productivité?
-La conclusion du script est que l'utilisation de ces outils AI, en particulier Cursor AI et les modèles OpenAI, peut considérablement améliorer la productivité et la qualité du travail, en particulier dans le domaine du codage, en tant qu'aide précieuse pour les développeurs.
Outlines
🤖 Introduction aux outils IA et workflow avancé avec Cursor AI
Le script débute par une introduction aux différents outils d'intelligence artificielle (IA) et leur utilisation dans les workflows. L'animateur souhaite partager des workflows IA qu'il utilise personnellement et souligne l'importance de la communication efficace avec l'IA pour obtenir des résultats optimaux. Il mentionne la création d'une interprétation de podcast IA basée sur le contenu de la vidéo, réalisée en utilisant diverses outils IA pour rassembler des informations rapidement et efficacement, puis en les introduisant dans un notebook LM créé par Google pour obtenir une interprétation audio IA impressionnante des points clés.
🔧 Utilisation avancée de Cursor AI pour la rédaction et la structuration de contenu
Dans ce paragraphe, l'animateur présente un workflow qui consiste à utiliser Cursor AI pour rédiger et structurer des informations. Il explique comment il utilise Cursor AI en tant qu'éditeur de fichiers pour réécrire des informations dans un format structuré et éliminer les éléments non essentiels. L'animateur montre également comment il utilise des commandes spécifiques pour améliorer la lisibilité et la structure du contenu, soulignant l'efficacité de cette approche pour transformer des données non structurées en documents structurés et lisibles.
🎥 Création de transcripts à partir de vidéos YouTube et extraction de points clés
L'animateur décrit un workflow qui implique la conversion de vidéos YouTube en transcriptions textuelles à l'aide d'un script Python. Il explique comment il utilise ce script pour obtenir des transcriptions non structurées de ses propres vidéos, puis comment il les traite à l'aide d'outils IA pour extraire des points clés importants. Il mentionne l'utilisation de l'API OpenAI pour traiter les transcriptions et extraire des informations clés, puis de Cursor AI pour reformater ces informations en un format plus lisible et structuré.
📝 Fusion de contenu et création d'une vue d'ensemble audio avec Notebook LM
Dans ce paragraphe, l'animateur explique comment il fusionne divers types de contenu, y compris des guides de prompts, des transcriptions et des informations extraites, pour créer un fichier unique. Il présente ensuite l'utilisation de Notebook LM par Google pour créer une vue d'ensemble audio de ce contenu, en utilisant la fonctionnalité expérimentale de discussion approfondie qui résume les sujets clés de la source. L'animateur exprime son enthousiasme pour cette approche, qui transforme le contenu en un format audio interactif et structuré, similaire à un podcast.
🚀 Conclusion et utilisation des modèles IA pour la programmation
Le script se termine par une conclusion où l'animateur exprime son impressionnante expérience avec les outils IA et les workflows qu'il a partagés. Il discute brièvement des avantages des modèles IA tels que les modèles 01 d'OpenAI et CLA 3.5, soulignant leurs forces respectives pour différentes tâches de programmation. L'animateur recommande aux spectateurs d'essayer ces outils et de découvrir comment ils peuvent les utiliser pour améliorer leur propre workflow de développement de logiciels.
Mindmap
Keywords
💡AI
💡Cursor AI
💡prompting
💡transcription
💡chat GPT
💡notebook LM
💡workflow
💡coding buddy
💡XML tags
💡role-playing
Highlights
AI tools are becoming increasingly prevalent, offering next-level workflows for productivity.
AI can create podcast-style interpretations of content, showcasing its ability to generate human-like audio.
Cursor AI is highlighted as a tool for enhancing coding efficiency through AI assistance.
Effective communication with AI is emphasized as crucial for achieving optimal results.
The importance of being specific with AI prompts is compared to ordering at a restaurant.
Cursor AI is used as a file editor to rewrite and structure information more effectively.
A Python script is introduced to transcribe YouTube videos, demonstrating the power of AI for content conversion.
ChatGPT is utilized to extract key takeaways from transcripts, showcasing its analytical capabilities.
The process of refining AI-generated content with Cursor AI for clarity and readability is explained.
Notebook LM by Google is introduced as a tool for creating structured documents and audio overviews from text.
The creation of an AI podcast from compiled transcripts is described, emphasizing the innovative use of AI for content summarization.
The practical application of AI tools for personal learning and content consumption is discussed.
XML tags are mentioned as a method for improving the clarity and effectiveness of AI prompts.
The assign-a-role technique is introduced as a way to tap into AI's expertise for specific tasks.
Breaking down complex goals into smaller parts is recommended for better AI assistance in project management.
The strengths of different AI models, such as the 01 models and Claude, are compared for various coding tasks.
The versatility of AI tools is praised for their ability to switch between models for different coding needs.
The potential of AI-generated audio content for learning and everyday use is highlighted.
Transcripts
there's just a bunch of AI tools popping
up everywhere these days so today I
thought I could share some of my AI
workflows uh I think some of this is
just Next Level so I definitely think
there is something useful here you can
pick up to but before we dive into the
workflow I just wanted to show you this
AI podcast style interpretation of my
content that is just super impressive uh
and this is something we will create
today and the way we're going to do that
is collecting a bunch of information
pretty quick and effective and very
productive using different AI tools and
then we going feed it into this uh
notebook LM that is created by Google
and then we will get this amazing if you
ask me uh
audio AI podcast interpretation of the
key takeaways from that content so I
just want to listen to 30 seconds now
and keep in mind while you're listening
to this now this is not humans this is
AI and I think it's amazing so let's
just listen for about 30 seconds before
we move on to the workflows pretty wild
right like you're coding away and
suddenly boom there it is elegant
efficient code appearing almost out of
thin air it's like magic almost it's not
magic but it's getting close cursor AI
is all about harnessing that AI power to
you know kind of level up your coding
game okay that sounds amazing but
there's got to be a catch right you're
right you can't just like sit back and
expect miracles the key here is learning
to really communicate effectively with
your uh with your AI coding buddy so
it's more than just saying WR me some
code way more think of it like this you
wouldn't just walk walk into a
restaurant and tell the chef make me
dinner yeah well I mean I might but I
get your point right you'd be
specifically you know what are you
craving what are your dietary needs
maybe even you know mention a dish you
saw online that got you inspired oh for
sure I'd be dropping hints about those
truffle fries I saw on Instagram got to
be specific exactly and it's the same
with AI coding the more I I can't just
Express how impressed I am but it's
because when you watch the video now
this is made up I didn't mention to
being in those
analogies uh so I'm just so super
impressed by this it's so um uh yeah
what do you call it humanik I don't know
but now let's just show you how I did
this so let's just get into it to show
off some of my workflows I thought we
could just set a topic for today so
that's going to be Advanced prompting
with cursor AI so sometimes I just start
on perplexity I think this is a good AI
options you can have the pro version I
have the free version at the moment so
I'm just going to run a prompt a list of
the best tips on Advanced prompting with
cural so let me just run this and I just
like this I think it's super easy to use
uh compared to Google there's a bunch of
other Alternatives like search DPT and a
lot of different things right so we're
just going to do this pretty easy I'm
just going to copy this right I'm going
to go back so I'm kind of leveraging
cursor here in a different way uh I also
like to use cursor as a file editor
right so let's just say perlex or
something like that MD so I'm just going
to paste in everything we find here uh
for now I think we just remove the
citations right and here we have yeah
bunch of information but what I like to
do I like to use cursor for this so we
have to put on cursor tab here so we can
actually do some
autocomplete uh I'm just going to select
the whole thing for perplexity contrl K
and here I'm going to do like prompt so
I'm just going to do rewrite information
in a more structured format and remove
any fluff and for writing I like to pick
claw 35 Sonet so we're going to do that
and when we press enter here now we're
going to get like this diff so we can
see actually what is changing and you
can see here this is brightening this in
yeah kind of changing up kind of what we
had so I'm going to accept this save it
and here we kind of have our first well
structured document here with some
simple but powerful suggest questions
how to use cursor when doing prompting
on cursor right so that is kind of one
workflow I use a lot uh from perplexity
into cursor rewrite and I have kind of
the structure here in markdown format uh
I like this I think it's super powerful
uh so let me show you kind of my second
workflow this is a bit different uh here
I have created a script that can take uh
a YouTube video and turn it into a
transcript so uh it's a super easy
python script I can share it if you want
just let me know in the comment section
if you want this uh so let's head over
to YouTube I search for all about AI
cursor just to use my videos in this
video so we can just copy uh let's just
copy this video so this is a video I did
on cursor we can just go back to my
script and here we can kind of paste in
the URL right let me save that uh let's
clear this test here and we can just run
this now so this is going to fetch the
video it's going to use whisper to
transcribe this into text so we're going
to get some unstructured data that we
can work more on so let me just finish
this one and we're going to store that
okay so that was the video transcribed
so this was the first video so now I can
just grab this transcript here we have
in this markdown just want to save it to
transcript one right okay so we have
done that and I W to clear this I want
to go back to my code here and now I
want to grab a second video so yeah I
think I have a second video here on open
AI copy the link go back to my my code
here and I'm going to paste in my second
URL right we're going to run this again
and then I'm going to collect my second
transcript right and then we kind of
have the unstructured data we want then
we're going to move this over to a new
AI tool to make some takeaways from it
okay so now you can see our second
transcription is done so what I'm going
to do now is I'm going to grab this I'm
going to go into transcription 2 and
save it in here so now we have two
different transcripts right uh that is
kind of unstructured data it's just a
transcript from video so what we want to
do now or like I do is I go over to chat
GPT I'm selecting o1 preview for this so
this is the new model right and I create
this XML Tex transcript one transcript
two so I'm just going to go uh not here
but here and grab uh let's it doesn't
really matter transcript one and go back
to um open AI paste in my first
transcript and let's go grab the
transcript two right select that and
paste that in here and now kind of I
have a prompt here I want to use to
extract key takeaways from this and that
is going to be you can see we have this
action so from the transcripts above
extract the most important takeaways
using cursor with open AI models
prompting and use cases so I'm just
going to run this now with open AI
preview and we can take what we get from
01 preview here bring it over to cursor
again to kind of rewrite this into the
format we want right okay so you can see
open AI to for 17 seconds here are kind
of the key takeaways from all of this
right okay uh I'm not going to go too
much into it now so let's just copy this
and let's head back to cursor here right
uh let's paste it in and yeah that looks
pretty good if you ask me uh but I'm
sure there are some
wrong uh 01 models okay this looks
pretty good it looks like it kind of got
the translation between the models
pretty good here 01 mini right sometimes
it's those like Z1 but this looked
pretty
good uh but
again uh let's do like a quick run down
here here uh command control K and I
want to do a prompt here in cursor so I
actually read some of the content and is
very good so I just want to do reduce
the number of stars make it a bit more
readable don't remove any content so now
we kind of want to use CLA 35 Sona to
kind of clear up this right a bit so we
can get some yeah you can see here we
get a bit of a different layout here uh
that I think is a bit more easy to read
right yeah this looks pretty good so I'm
going to accept that I'm going to SA it
and yeah I think this is pretty nice uh
I guess I kind of want to keep those
Stars here I guess something like this
right okay so now we have kind of turned
both our transcripts into like a super
nice effective structured takeaways from
those two videos and I read through it
and it looks perfect if you ask me so
conclusion all1 models have specific
strengths while there are not
replacement for faster models in all
scenarios 01 models are valuable for
specific use cases in more large scale
coding
generation clo 3.5 for daily use for
everyday coding needs yeah I just like
this very much I think it's a super good
um
merging uh and takeaways from the both
transcripts that were kind of
unstructured data right so I'm super
happy with this and I kind of think we
have all the content we want now uh I
think I'm just want to grab maybe one
more small thing let me take a look here
so I just want to include my uh own
prompt guide that I have made so these
are 10 tips and some additional tips
that I like to use when I'm doing
prompting so I'm just going to copy this
uh we're going to head back to kind of
our uh file here so I'm just going to do
I'm just going to do prompt guide I
don't know MD right paste it in and save
it so now I kind of
have everything I wanted here
right so we have the prompting guide we
have the transcripts we have the
perplexity extracted information so I
just want to move all of this
into this file because I I don't think
we need to add so many files here so let
me just grab all of this put it into one
file and then I want to show
you uh notebook LM so now that we have
our Advanced prompting with cursor AI
file uh I want to go back here I want to
go to not notebook lm. gooogle right and
here we can click on try notebook LM
okay so we're going to create a new
notebook so I'm just going to click on
create here and this gives us the
options now to add different sources so
you can do website text uh but of course
we are going to choose our markdown file
that we have created right so let me
just uh grab that okay so you can see
now let me zoom in a bit uh we have
uploaded our file we get like a text
summary here provide explores around
advancing promp techniques using cursor
AI right and now we can create different
stuff here so is the audio overvie
overview that I'm most impressed by uh
but there are some good things here we
can do FAQs we can try that right so now
we are creating a note based on this
file so this is going to be like a
frequently asked questions thing right
so you can see cursor AI fq what is the
best way to use command K and we get a B
bunch of questions and a bunch of
answers so this could be very useful
right if you need this but what I wanted
to do and what I think is so cool is
this audio overview so this is uh a
lively Deep dive discussions that
summarizes the key Topic in your sources
this is an experiment feature below are
some notes to help you get started right
uh okay so this looks pretty interesting
so we're just going to generate this
audio now so this could take a few
minutes sometimes it's like one of my
equations was 15 minutes long
uh so we're just going to let this cook
and we're going to come back uh when
this is finished to have a listen to
everything we kind of compile compiled
into one file now and how will this will
sound in an audio format right okay so
the audio is done you can see here it's
11 minutes and 12 seconds so what I want
to do now is uh let's listen to like 10
seconds then I can download this and I
can slap some uh subtitles on and then
we can listen to one of two minutes of
it just to see how it turned out and
just to enjoy the experience of this so
let's listen to 10 seconds and then I'm
going to take it uh and do some captions
on it ever feel like you know you're
trying to speak AI but it's like not
quite fluent you know what I mean like
you know there's more these tools can do
but you're just scratching the surface
yeah definitely it's a learning curve
for sure that that sounds great right I
think it's pretty cool uh but like I
said uh I'm going to download this and
I'm going to stop some captions on it
and then just listen to the first two
minutes to see how it turned out okay so
here we have it so uh yeah you can see
put some captions on some nice animation
background opacity and now you kind of
have a nice podcast so uh if you want to
drop out here if you don't want to
listen to it I'm just going to listen a
few minutes and kind of do my quick
takeaways at the end and you feel free
to stay if you want to but this is going
to be the end of the video if you're
interested in hearing how it turned out
feel free to stay and we do a quick wrap
up of this workflow note LM uh at the
end ever feel like you know you're
trying to speak AI but it's like not
quite fluent you know what I mean like
you know there's more these tools can do
but you're just scratching the surface
yeah definitely it's a learning curve
for sure totally and that's what we're
diving into today we're talking about
cursor AI it's like having this like
coding buddy but they also happen to be
like this mind melding AI it's pretty
wild right like you're coating away and
suddenly boom there it is elegant
efficient coat appearing almost out of
thin air it's like magic almost it's not
magic but it's getting close cursor AI
is all about harnessing that AI power to
you know kind of level up your coding
game okay that sounds amazing but
there's got to be a catch right you're
right you can't just like sit back and
expect miracles the key here is learning
to really communicate effectively with
your uh with your AI coding buddy so
it's more than just saying write me some
way more think of it like this you
wouldn't just walk into a restaurant and
tell the chef make me dinner yeah well I
mean I might but I get your point right
you'd be
specifically you know what are you
craving what are your dietary needs
maybe even you know mention a dish you
saw online that got you inspired oh for
sure I'd be dropping hints about those
truffle fries I saw on Instagram got to
be specific exactly and it's the same
with AI coding the so I'm just
interested to hear now if they get in
into remember we fed a lot of
information about Advanced prompting
with cursor AI so I'm looking forward to
see I think they transition into this
now this was more kind of like an intro
I guess more specific and structured you
are with your requests those are called
prompts by the way the better the AI can
understand what you're after and deliver
code that's not just good but
exceptional so it's like treating my AI
coding buddy like a five-star Chef I can
get on board with that but how do I
actually become a master at this whole
prompting thing well lucky for you
that's what we're diving into today
we're going to unpack some seriously
powerful techniques you can use okay so
that was the intro that was pretty cool
it seems like the audio is fading a bit
but keep let's keep listening like right
away even if you're totally new to AI
coding we're also going to be comparing
different AI models like open ai's 01
models and the ever popular clae but
first let's start with one of the most
useful tricks I found using XML tags in
your prompts XML tags is that like
bringing us back to like the early 2000s
kind of but trust me they're making a
huge comeback in the AI world and for
good reason they offer that structure
and Clarity that don't mind um the the
captions it was a bit rushed I can see
now but XML tags that's a good start AI
models really crave so how does that
actually work okay let's say you're
trying to I don't know create a function
to calculate the factorial of a number
instead of just typing out this
long-winded request you could use XML
tags to make it super clear like this
yeah write a function to calculate the
factorial of a given number ah so the AI
sees that goal tag and it's like okay I
know exactly what they want exactly this
is so impressive it's just a perfect way
describing this I'm just like mind blown
here it's like giving them signposts you
know makes your instructions crystal
clear and remember our listener today is
all about efficiency and that's what
good prompting is all about this is
giving me some serious like tidy code
Vibes but for AI instructions I like it
okay what other prompt engineering
Secrets can you let me in on okay let's
talk about the assign a roll technique
it's pretty cool it's based on the idea
that by actually giving your AI a
specific role you tap into a different
level of like expertise okay now I'm
really interested give me an example so
imagine you're working on this like
really complex algorithm you could start
your prompt with something like this Ro
you're a senior software engineer izing
in algorithm optimization so now my AI
isn't just any coder they're like the
algorithm Whisperer precisely you're
setting the context right and that so
they are kind of going through what was
kind of clearly stated in the
information we gathered from all our
sources right so it's pretty cool I can
hear
all but there's not a lot to pick on
here if you ask me helps the AI tap into
a deeper level of knowledge it can lead
to some really impressive results this
is blowing my mind it's like I'm giving
my AI coding buddy a promotion before
they even written a line of
code but you know what about those times
when I'm feeling like seriously
overwhelmed by a project you the AI
assistant right that's where our next
tip comes in breaking down the goal into
smaller more manageable Parts yeah I'm
intrigued tell me more about breaking
things down so instead of throwing the
whole project at your AI buddy at once
you're guiding them I'm catching myself
like thinking this is a real
conversation it's so believable and they
have this small um and ah I think that's
pretty humanlike right I'm step by step
you know you're providing really clear
instructions for each stage of the
process gotcha so it's like giving them
bite-sized pieces of the puzzle instead
of the whole jumbled mess all at once
exactly and this is especially helpful
for those complex tasks right it can
really prevent errors and just make the
whole thing less overwhelming it's like
project management but for AI I'm loving
this so we've got C you heard a
laughter so he's kind of making this
small joke and she's kind of H
laughing
amazing to AI prompt engineering XML
tags role playing this is a whole new
world of coding but what about the AI
models themselves we've mentioned these
open ai1 models a few times what makes
them so special and how do they like
stack up against other models like so
let's listen a bit about what they say
about 01 Claude and then we call it
claw fantastic question the 01 models
they are definitely fascinating and they
really excel in certain areas but just
like choosing you know the right tool
for a job selecting the best AI model
really depends on the task at hand so
let's uh let's dive into the world of 01
models and see what they bring to the
table all right let's dive into those 01
models are we talking like the supercars
of the AI coding World they can be for
sure especially for those you know
larger scale projects the ones that need
a lot of horsepower think of the 01
models especially the 01 mini as the
heavy lifters the ones you call in when
you need to refactor like a massive code
base or just generate a ton of code in
one go okay so we're talking serious
coding muscle here but what makes them
so good at handling those massive
projects one word output the 01 mini for
example it boasts a pretty impressive
64k output hold on 64,000 tokens that
doesn't really mean much to me can you
give me a real world compar I like that
that that was something I emphasized in
my videos so I thought it was pretty
cool that they brought out up and it's
kind of rephrasing the question because
oh I didn't get that that was pretty
cool right person okay so imagine you're
building like a a a complex web
application right tons of features all
the bells and whistles with that 64k
output the 01 mini could potentially
generate the entire front end framework
in one shot wait this is just amazing I
think it's so
good the entire front end like
everything a user sees and interacts
with wow that's like writing I don't
know a whole chapter of a book in one
sitting but with code yeah it's
seriously impressive but I imagine
there's got to be some kind of trade-off
for all that power right like are they
slow or something you're right they can
be a tad slower than other models
especially for those smaller simpler
tasks it's like they're taking their
time to really you know mul things over
analyze every angle before they spit out
that beautifully crafted code so they're
like that friend who takes forever to
order at a restaurant because they're
analyzing every single and here he goes
with the restaurant anology again that
was a bit funny uh let's just complete
this segment and then a quick wrap up
item on the menu uhuh yes yeah exactly
but then they end up recommending the
most amazing dish you've ever tasted
okay I can see that but so if I need
something quick what then then you might
want to go with something like Claude
3.5 which is a fantastic model for you
know those
day-to-day cating tasks oh I like the
pause there like that fantastic daytoday
coding test that was good debugging code
completion those sorts of things it's
also really great for iterative work you
know where you're constantly making
small changes testing refining so like
choosing between a sports car and like a
reliable SUV you've got your 01 for
those highspeed coding Sprints and then
you're clawed for the everyday hustle of
navigating through code right exactly
and the cool thing that was a bit
strange but about tools like cursor AI
is that you can often switch between
models seamlessly so you always have the
the right tool for the job no matter
what you're working
on again I think this just
amazing I love it having your cake and
eating it too yeah perfect so uh just a
quick wrap up of this I'm super
impressed I just see a bunch of use
cases for this for uh personal things
right if I want to learn something fit a
bunch of information download it put it
up
Spotify put on my air pods just go
listen to it it's very comfortable to
listen to and it's not just reading
exactly what you put in but it's more
creating like a podcast script and it's
nice to have two people interacting when
you listen that is more of like a
podcast style right so yeah I think this
just is the next level of AI voice audio
and kind of interaction between these
things so it hasn't got a lot of
attention uh I don't know why but I
guess all1 stole the show but uh for me
this is something I'm going to be using
more to to learn stuff and I recommend
going trying it out so pretty cool but
uh thank you for tuning in thank you for
uh yeah listening to me watching my
workflows and how I created this so yeah
hope you enjoyed it and we speak soon
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