Pratique du Shadowing: Essential AI Skills For 2026 - Apprendre l'anglais à l'oral avec la vidéo
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Here are the essential AI skills that I think you should know in 2026, starting from beginner, intermediate to advanced.
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And there is one AI trend that actually really caught me by surprise, but I really think we'll be transforming the world of AI in 2026, which for some reason nobody is talking about.
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But before I get to that, let us start from the beginning, the basics.
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A portion of this video is sponsored by Perplexity.
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Since the launch of ChachiPT in late 2022, the rise of generative AI has been meteoric.
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So unless you literally live under a rock, I am certain that you have come in contact with Gen AI at some point now in the form of algorithms, emails, images, videos, chatbots, products.
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It is literally everywhere.
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So if you still don't really have a grasp of what Gen AI is and how it works, I really recommend that you check out this video over here where I summarize Google's eight-hour AI essentials course in just 15 minutes.
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That should be enough to get you started.
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Now on top of this just general knowledge, there is one skill and a suite of tools that I think any modern human that participates in society should know.
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Now, if you can guess what that skill is, please put it in the comments and you'll get an imaginary cookie.
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Okay, did you get it?
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Yes, it is prompting.
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And when it comes to prompting, if you can just remember two frameworks, you would be better at prompting than like 98% of the population.
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The first framework is called the Tiny Crabs Ride Enormous Iguanas Framework, which stands for Task, Context, References, Evaluate, and Iterate.
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I'm going to put a screenshot now of an example of how to use this framework when prompting any general AI chatbot.
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This works well with any of your general chatbots like Perplexity, Chachapiti, Gemini, Claude, Deepsea, Grok, etc.
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And if for some reason you're still not really getting the results that you're looking for, there is a second framework that you can try called the Ramen Saves Tragic Idiots Framework.
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I'm going to put on screen now examples of how to use the different parts of this framework.
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Now if you want more details, explanations, and more examples of how to use these frameworks, as well as more advanced prompting techniques,
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please do check out this video that I have over here because I did a full video summarizing google's nine hour prompt engineering course in just 20 minutes that one
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was a really good course and prompting is a skill that i highly recommend that you really have a good grasp of because it is the single most important skill that will help you
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unlock all the tools and more advanced levels of ai it's kind of like if you're going to be like a sword person like a samurai you first gotta learn how to swing your sword otherwise
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it doesn't actually matter how good your sword is and how fancy it is if you don't know how to swing your sword you know now after you learn how to prompt
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correctly there is a suite of ai tools that i think any modern human participating in society should know the good news is that you don't need to actually learn
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a lot of tools the first tool is a generalized ai chatbot that can help you answer your questions like what is this plan in this picture also
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be able to help rewrite emails simple reports analyze pictures data and videos you also probably want a tool that can help you look into news
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and research for example this is my personalized news feed and here's an example of an ai generator research report diving deep into building products which is what i'm interested
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in right now next up i think everybody should master a tool that can help you use ai to learn things faster if there's a single most powerful meta skill that i can
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think of it would be the ability to learn things quickly and ai can really really supercharge this for you and finally a tool that can help you execute and do stuff
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like making slides dashboards simple apps now the good news is that a generalized chatbot has a lot of different features now so most of them are able to help you like answer questions write stuff
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research for you help you learn things and build things as well so it's not like you have to learn like a bunch of different tools and like pay for a lot of subscriptions
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so you can really just choose one generalized chatbot like chat gpt or gemini or claude and just like learn that really really well but for those of you
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who really do want to optimize and just like get everything you can out of ai i will put on screen now with the stack of tools that i personally
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use on a day-to-day basis like i personally use each of these tools on a day-to-day basis for specific types of tasks I also do have deep dives into most of these tools that I listed here, which I will also link in the description if you want to check them out.
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Another tool that I've been using for the past few months that just like seamlessly integrates into my own workflow is Comet, which is Perplexity's free browser.
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I want to show you some other ways I use Comet now that is really, really cool and useful.
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So here is a mutual fund that I'm looking into that I might want to invest in.
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And say like I see here, it's like a style box and it shows this box and I don't really know what that means.
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So I can type here, explain to me what does the VFIAX style box mean?
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Okay, and it tells me a quick visual way of showing that this fund holds large cap US stocks with a blend of value and growth characteristics rather than purely value or purely growth.
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And it goes to a lot more information about this.
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You can do this for anything that you're browsing that you're not sure about.
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Another example, I have an email chain going on and there's like quite a few emails that's going on here.
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So instead of having to look through all of it, I can just say, summarize this email chain and suggest next steps.
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And comment agent is telling me, email chain covers your invitations,
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gouging recording and post recording follow-up for your guest appearance on HubSpot's marketing against the grain okay etc etc and then it says okay we've already done this preparing your own
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promotional plan and creating a simple internal doc those are the next steps that maybe I should consider and then it says here's for suggest the next steps draft and send a
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follow-up email ask for estimated publish date and then prepare your own promotion plans so here I noticed from this email that Ibrahim from our team has added a lot of comments into this google doc that we're working on together now instead of just like going back and forth on a Google Doc at this point,
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I kind of just want to, you know, set up a meeting with him instead.
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So with Common Agent, I could just write schedule a meeting with Ibrahim for tomorrow at 9 a.m.
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Hong Kong time, 30 minutes.
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And Common Agent does its thing.
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It's able to plug straight into Google Workplace.
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I confirmed it and there you go.
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It successfully scheduled a meeting with Ibrahim for tomorrow at 9 a.m.
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Hong Kong time for 30 minutes.
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Pretty handy, right?
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Don't need to contact switch between a bunch of different tabs.
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But that's not all.
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Here's an example in which I am having sleep problems, which is true.
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And I'm trying to look at natural sleep aids to get better sleep.
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Telling me stuff like, oh, melatonin.
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Okay, okay, valerian root.
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All right.
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And then it goes like lavender.
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Hmm, that sounds a little bit like pseudoscience-y to me.
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I don't know about that.
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So whenever I'm reading through an article like this, I kind of want to fact check some stuff.
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I would just directly write, check the usage of lavender for sleep for accuracy and sources.
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Comment was searched through perplexity,
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showing me some different evidence that suggests okay like lavender essential oils associated with improved sleep quality in adults uh etc meta-analysis etc etc
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so you know maybe i can be convinced okay last example say you want to now buy some supplements for a friend of yours
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now instead of going through all the different retailers looking at their reviews and their prices i could just ask comment assistant compare melatonin 3mg supplements across different retailers for price and delivery date.
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So it's telling me that this Amazon website that I'm seeing here doesn't actually deliver to Hong Kong but here are some other places that I can buy it from different types
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of retailers how much they cost and tells me the best option here is that maybe I could consider sites like iHerb which I can attest because I have ordered from there before has good prices and good supplements.
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Great didn't have to open like 10 different tabs looking at all of them and trying to pick the right one.
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Comment is free right now so if you want to try it out check it out in the link in the description.
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Thank you so much perplexity for sponsoring this portion of the video.
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And by the way, if you're interested in learning more about how I use AI in my daily life, literally a video called 101 ways that I use AI in my daily life.
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So you can check it out if you want.
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I think you may be surprised by how much AI can augment your life in a lot of different tiny ways.
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On to the next essential topic in 2026, AI agents.
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AI agents are defined as software systems that use AI to pursue goals and complete tasks on behalf of users.
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For example, a customer service AI agent is able to autonomously answer questions from customers like through email or even phone calls while a coding AI agent is able to write code for you.
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So these are examples of independent agentic AI products.
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But for the past year or so, many companies are realizing that in order to actually use these independent AI products, they need to actually think carefully about how to integrate them into their existing workflows because they're not going to like just entirely change their existing workflow, right?
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And in a lot of cases, companies actually need to build their own custom AI solutions to really take advantage of this agentic AI.
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Let me give you a couple examples because us as a company we actually do quite a lot of b2b consulting and also building b2b AI solutions for different companies.
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For example we built a custom product retention AI agent that specifically addresses when people try to unsubscribe from their product.
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Now prior to this agentic workflow there's a very standard track like the customer will try to unsubscribe and then we'll have like one upsell saying like hey like here's 10%
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off this platform please don't go and then that's pretty much it right but with this custom agentic solution when a customer tries to unsubscribe and they say
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what their reason is we're able to craft a custom email back to them and offer them custom discounts and like credits to address the reason why they're unsubscribing like
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for example somebody might be emailing saying like oh this specific feature like there's just not enough credits not good return on investment so the ai agent can actually write a targeted email
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saying hey like i understand that you think that this feature is very expensive so here's like 20 free credits that you can use for this feature and because the email feels personal is targeted to that person's problem, they would be less likely to unsubscribe.
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And this has very much been the case.
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Another popular custom AI agent type that we build is reporting agents.
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Many companies spend significant time and resources just on reporting, reporting their earnings, reporting stuff to their investors or shareholders, just a lot of data having to be transmitted.
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So when we're able to make an agentic system to help with this reporting process that integrates directly into their existing databases, this can be really, really helpful,
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especially for companies that have specific privacy and compliance regulations like those in finance and healthcare so the skill that i really recommend you learning is building custom ai agents
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there are a lot of agentic ai frameworks that you can learn in order to build these custom agents and i'll put some of them on screen right now so take a screenshot if you like some
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of them are no code some of them are code some of them are more niche for like specific type of agents that you're building but regardless of whatever tool it is
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that you're using the underlying skill of integrating agentic ai in a custom way for different companies that is such a valuable skill and so in demand for
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companies both like internally and also as freelancing like that is literally what we do if you are interested in learning these skills i'll link some videos below in the description that you can check out
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i made quite a few videos on it we also do run like an entire boot camp like a 28 day ai agent boot camp so there's like way more
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information than i can possibly fit into this video here so if you are interested to check it out i'll leave a link in the description as well
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okay so here's the thing that really came out of left field for me like i was really not expecting this and that is the
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rise of open source ai pioneered by china so just to make sure that we're all on the same page here open source ai refers
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to ai systems where some or all the core components are publicly available involving things like model architecture model weights training data
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or inference data licenses for use modification and redistributions with conditions this is in contrast to closed source ai which refers to ai systems where the models weights and training process are proprietary and users can usually only access them through apis web apps were enterprise platforms.
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Some examples of the most popular closed source AIs would include stuff like OpenAI's ChatGPT, Anthropic Cloud, Google Gemini, etc.
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Closed source AI has really been dominating the field since 2022 and primarily led by the western countries, mostly in the United States.
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And the reason for this is that proprietary closed source AI has just been performing much better than open source AI.
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Until if you guys remember, not that long ago when DeepSeek came out.
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And this was a really big deal because DeepSeek is open source and it was able to perform just as well as this closed source AI while having all of the massive benefits of open source.
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Open source is a lot cheaper and at scale, that difference is massive.
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Open source also allows the user to have full control over the model.
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So it can be run anywhere, like on-prem, edge, private clouds, whatever you like.
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You don't need to go through other people's APIs, other people's systems now.
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They're also much more customizable, allows you to do stuff like fine tuning, modifying architecture, even adding your own guardrails and building on top of it.
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So there's a lot more freedom and independent developers can improve them by themselves.
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When you use open source models, there's also no vendor lock in.
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Like if you want to use open AI models, for example, you're kind of like locked into their entire ecosystem.
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And finally, it's auditable.
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This is massive because for many regulated industries like finance and health care in these places, policies and regulations require transparency, which is something that you cannot have with closed source models because they are closed source.
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Like we don't actually know what's going on inside the private companies, but they can use open source models and products and tweak them to the specifications that they want.
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So with open source models performing just as well as closed source models, plus you have all these advantages, it kind of became a no brainer for a lot of companies to switch to open source models, which is exactly what happened.
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And what makes it particularly interesting is that these top open source AI models are Chinese models.
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If you check out this graph here, open source is kind of like gaining in popularity.
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And then there was like this massive increase and a flip in which China started dominating the open source landscape.
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In fact, A16Z recently reported a major shift where 80% of AI startups pitching them are now built on Chinese open source AI models like DeepSeek and Alibaba's Quint.
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I recently also gave a talk at a venture capital firm in which they are investing a lot into open source AI.
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I was honestly really shocked by how fast these developer communities were growing around these open source models.
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And yeah, like it totally makes sense.
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In fact, if I were to make a prediction, and I hope I'm not wrong about this, I was very wrong, whatever.
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If I were to make a prediction, I think in 2026, this whole like open source movement is going to like skyrocket even higher with a lot of developers moving to open source models.
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And because of these geopolitical factors, I actually think a lot of Western companies are probably going to start open sourcing a lot of their AI models and like surrounding frameworks and architecture as well.
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And yeah, like AI as a whole might just be moving towards open source, which I think that's actually great for everybody.
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Lower cost, more innovation, more transparency.
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I think that's great.
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I will probably be making a full open source video for like open source models and open source products.
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And we haven't publicly announced this yet, but it has been decided already that we'll be hosting a free in-person open source workshop in Hong Kong as well in January.
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So for those of you who are based in Hong Kong I hope you guys can come.
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For those of you who are not based in Hong Kong that is totally fine as well because we'll be sending summaries and key insights to our mailing list.
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So either case you should sign up for the mailing list.
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It is completely free if you're interested in our future like events and workshops and things like that.
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In the meantime though, I highly recommend you check out some of the open source AI models and products.
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And if you are a builder or developer, you should definitely check out open source.
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I will put on screen now some of the different models and products that you can try out.
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Take a screenshot if you like.
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And finally, I want to talk about the last essential skill in my opinion for 2026, which is AI-assisted coding, aka vibe coding.
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I am genuinely convinced at this point that for anybody that wants to build a product, can build a product.
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Whether you know how to code, don't know how to code, have any experience building products, it is so easy to build a product these days.
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You legit can just go on a vibe coding tool and just type what you want to build, like build a manga creator tool where the user inputs a manga concept and description characters and outputs manga, and the tool will build it for you.
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Of course, there are things that you need to tweak and certain things that you need to add in order to make it scalable, but you can do all of this without even knowing how to code now, which is insane.
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Like literally a year ago, this was not possible.
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Like you need to be a developer to build stuff like this.
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And for those of you who are developers, if you're not using an AI assisted coding tool, I don't want to say because using a tool like this, like I'm able to code things and build things like 10 times faster.
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I'm also able to learn things like 10 times faster.
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The cool thing is that over the past year or so, there are a lot of AI assisted coding tools now.
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They range from products that are built for people who have no coding experience like very beginners all the way to those for pro developers.
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A full spectrum of different products.
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I'm not going to go into too much detail about all of them right now because I don't want to make this video super long so I'm going to put on screen kind of like a spectrum of different coding tools and you can like kind of try out the ones that you think fits you the best.
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In the past couple months we've also seen a lot more open source based vibe coding tools which are a lot cheaper so I would not be surprised to see even more options in 2026.
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In any case regardless of which tool that you choose.
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I do think that AI-assisted coding, vibe coding, just like building products is very much a skill that is essential for 2026.
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I also have an entire video that covers the fundamentals of vibe coding so if you want to check it out, if you want to get started, then you can check it out over here.
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All right so before I end this video, I do want to mention a couple more trends that I really see emerging and significantly developing in 2026.
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I wouldn't consider them like essential yet but I do want to get them on your radar.
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The first one is multimodality.
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And by multimodality, I mean using Gen AI for images, video, and audio.
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Multimodality models are just getting better and better.
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In my humble opinion, audio is pretty much there already.
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AI-generated audio is virtually indistinguishable from people audio now.
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So, Tina here was just mentioning how real AI voices are getting, and, well, here I am to prove it.
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Like, could you tell that that was an AI voice?
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Like, I have a hard time telling that was an AI-generated voice, and AI music as well.
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this sounds really legit to me like granted i am not a musician so maybe like if you're a musician you would be able to catch that it's doing strange things but to me
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i'm like this is really good and when it comes to images and video as well it's just getting better and better i think the release of google's nano banana model was
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a very defining moment because prior to the nano banana model there was this really big issue of character consistency like if you generate a specific character and you try to generate like multiple versions of that character doing different things the character would be like slightly different for each image.
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And in video as well, like does the frames progress?
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There's like slight differences in the character.
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So it doesn't feel real.
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Now, the Nano Banana model is way better at keeping character consistency.
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It's still not perfect.
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Like it's definitely not 100%, but it was a very big leap.
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And I would not be surprised if this problem is solved in 2026.
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There are also a lot of open source multimodality models that are popping up as well.
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And the final trend I want to touch on today is AI safety.
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I actually made a video about AI safety and that video really did not do well.
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It was not a popular video at all.
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Probably because it's like not a cool topic, right?
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It's like not like visual and trendy and cool because it's like safety.
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It's like boring sounding.
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But regardless, this is a really, really important topic because as AI progresses and all these things become available, the safety part of stuff, that also becomes really important as well because with great power comes great responsibility.
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So please, I am imploring people who are watching this video, if you are interested in AI safety, first, I guess, like, check out that video.
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And if it is something that you're interested in, please do dive deeper into this trend because I promise you this is going to become increasingly more important in 2026.
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You can't call me on that one.
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All right.
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Thank you so much for watching until the end of this video.
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I hope you feel inspired.
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I hope you feel excited to learn these new skills now.
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And let me know in the comments what AI skills are you particularly interested in learning right now.
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And I will see you guys in the next video where I stream.
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau C1 s’appuie sur la vidéo « Essential AI Skills For 2026 ». Les mots qui reviennent le plus souvent : source, model, tool, product. Cette vidéo contient 204 phrases et 4241 mots à répéter en shadowing. La partie parlée dure 18:43. Le locuteur parle vite, environ 227 mots par minute : attendez-vous à des liaisons et à des sons réduits. 83 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| prompt verbe | /pɹɑmpt/ | inciter |
| agentic adjectif | /eɪˈd͡ʒɛn.tɪk/ | en mode mission |
| chatbot nom | /ˈtʃætbɑt/ | chatbot, dialogueur |
| vibe nom | /vaɪb/ | vibe, aura |
| perplexity nom | /pəɹˈplɛksəti/ | perplexité |
| unsubscribe verbe | se désabonner, se désinscrire | |
| integrate verbe | /ˈɪn.tɪ.ɡɹeɪt/ | intégrer |
| generalize verbe | /ˈd͡ʒɛn.(ə.)ɹə.laɪz/ | généraliser, faire des amalgames |
| lavender nom | /ˈlæv.ən.dɚ/ | lavande |
| nanotechnology nom | /ˌnænoʊtɛkˈnɑləd͡ʒi/ | nanotechnologie |
| workflow nom | /ˈwɝkfloʊ/ | workflow |
| mango nom | /ˈmæŋɡəʊ/ | manguier |
| screenshot nom | /ˈskriːn.ʃɑt/ | capture d'écran |
| retailer nom | /ˈɹiteɪlɚ/ | revendeur, distributeur |
| banana nom | /bəˈnænə/ | banane, bananier |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| check out verbe | mater, regarder | |
| go through verbe | traverser | |
| try out verbe | essayer, expérimenter | |
| come out verbe | /ˌkʌm ˈaʊt/ | sortir |
| go back verbe | rentrer, retourner | |
| pop up verbe | se pointer | |
| set up verbe | /ˌsɛt ˈʌp/ | mettre en place, installer |
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Phrases conditionnelles if + proposition, will/would + verbe — une condition et son résultat | if you're a musician you would be |
| Present perfect continu have/has been + -ing — une action commencée avant et toujours en cours | I've been using · has really been dominating · has just been performing |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | is sponsored · is called · was searched |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | products which is · Comet, which is · problems, which is |
Prononciation à surveiller
Le locuteur utilise 64 contractions et formes réduites, comme I'm, you're, don't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: screenshot /ˈskriːn.ʃɑt/, prediction /pɹɪˈdɪkʃən/, musician /mjuˈzɪʃən/, shareholder /ˈʃɛəˌhəʊl.də(ɹ)/, modification /ˌmɑdɪfɪˈkeɪʃən/
- Mots longs — placez bien l’accent: perplexity /pəɹˈplɛksəti/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/, nanotechnology /ˌnænoʊtɛkˈnɑləd͡ʒi/, melatonin /ˌmɛləˈtəʊnɪn/, proprietary /pɹəˈpɹaɪ.ə.tə.ɹi/
Les sons difficiles pour les francophones :
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: agentic /eɪˈd͡ʒɛn.tɪk/, chatbot /ˈtʃætbɑt/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/, nanotechnology /ˌnænoʊtɛkˈnɑləd͡ʒi/, legit /lɪˈd͡ʒɪt/
- /r/ anglais — langue recourbée, sans frotter la gorge: prompt /pɹɑmpt/, perplexity /pəɹˈplɛksəti/, integrate /ˈɪn.tɪ.ɡɹeɪt/, generalize /ˈd͡ʒɛn.(ə.)ɹə.laɪz/, screenshot /ˈskriːn.ʃɑt/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme prompt, agentic, chatbot.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.