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dream big

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@jasonugc Motion

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@jasonugc System

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@_adishj MOSAIC

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Optimisation is part of the ongoing process, but if you have nothing to get feedback on and optimise, you’re just stood still

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Working alongside business owners that turn over stupid amounts with simple processes just really solidified one thing

Just get out there and do it 😂 sounds so cliche but offer your services, put that product on sale

Don’t wait for the perfect moment

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Spent a lot of this year failing, which in turn allowed me to learn some invaluable skills

Gaps in my knowledge I didn’t even know existed

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When the internet came, it connected us all and allowed us to share our thoughts, opinions and specialised knowledge etc.

Then AI came and literally drank it as a soup and said “yep nice one I know everything I need to know now”

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Like I’m watching people use the new Google 2.5 flash image generator and it makes me question my own creativity and output 😂

Although I have no interest in consistent image generation just this skill alone can be so handy in something like ad creatives

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Watching the biggest shift in how we do things as humans before my own eyes is the most surreal feeling

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The dark side to this is, it can limit your output.

With tools that make you more capable, we should realistically be doing more not less

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@kobegatsby My team builds these for Shopify stores

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However there is a catch!!!!

Train AI on bad data (like only grumpy cats) → It’ll keep making grumpy cats.

Garbage in → garbage out 🗑️

If you learnt something new today, a retweet & a follow will help someone else learn so.. pls

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ite, so how does it actually work then?
Good question…

We're gonna get a little nerdy (but keep it simple).
Generative AI works like a supercharged autocomplete. 📱

Ask for a poem, logo, or workout plan—it predicts the next “word” repeatedly. Crazy right?

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Imagine teaching a toddler to draw 🖍️

Show them 100 cat pics → They scribble their own (with 3 eyes, but whatever).

AI works like that… but at insane speed.

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In plain terms: Generative AI makes new stuff (text, art, music) by learning patterns from data.
It’s not magic, it’s math. But we’ll skip the scary equations for now. 😅

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Yeah dez, sounds good but what even is generative ai?

Alright, let’s start simple.
Generative AI is like a chef who’s studied every recipe ever 🍳
It doesn’t just follow instructions—it creates new dishes.
But how? Let’s break it down. 🧵👇

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Normal AI: “That’s a cat in your photo.” 🐱
Generative AI: “Sure, I’ll draw you a cat playing chess.” ♟️
One identifies, the other invents.

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ChatGPT works by using patterns it’s learned from tons of text. It’s not ‘thinking’ - it’s more like a super-advanced autocomplete.

You type something, it predicts what makes sense to say next based on what it’s seen before. That’s why it feels so natural.

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AI, at its core, is about machines recognising patterns - like how you can spot a friend’s face in a crowd.

AI does it faster and at scale. By studying huge amounts of data, these systems learn how to respond, recommend, and predict.

It adapts and improves over time

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Then in November 2022, it became more relevant to everyday people. ChatGPT came out and suddenly AI wasn’t just for techies anymore. It showed normal people that AI could hold a conversation, write essays, and actually help you out.