Good morning everyone! âïž
As an adult, itâs amazing the joy I get when I get an extra hour in bed due to the UK clocks changing! đ€
It truly is the simple things.
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Anyway, this week I want to talk about quite an important topic that plagues me almost every week, and that's the idea of feeling behind.
By opening up Twitter (X), Medium, or YouTube, I am bombarded immediately with content such as âUsing AI to optimise my microwaving through a Raspberry Piâ or a YouTube video titled âHow I blew up my channel to 1 million subscribers with one 30 second video!â
Of course, these are all fake examples, but they are not too far from the truth. As a human, I canât help but naturally compare myself to these people and start thinking how far behind I am. In other words, an imposter.
âHow do they know these things?â
âI will never be as good as themâÂ
âI have so much to learn, but such little timeâ
These are all thoughts that run through my head. However, it is important to realize that this is totally okay.
A couple of weeks back, this topic came up in a conversation with one of my colleagues. He is a very smart guy with a PhD in Physics. There was one key anecdote he recounted to me from his time in research.
When he attended conferences, he found most high-up researchers and professors would only really discuss subject areas they had deep knowledge of, and typically avoid the ones they didn't.
How does this tie in with feeling behind?
Well, just like the example given above, most people will only document things they know about. Chances are, you probably know one area of data science better than them.
Tech is such a big field, as shown by the number of subdomains and career paths that are within it. There is no way one person knows everything, let alone has enough time to learn everything. This is why specialisms exist!
So, the next time you are reading anything that makes you go âHow does this person know all this?â Just remember that they probably spent years on this one area, hence why they are writing about it!
You are not behind, but simply on a different learning path.
As for myself, I am trying to create more than I consume, and just enjoying the learning process no matter where I stack up against others!
Whatâs Been Cooking đ„
Some tasty stories this week:
Apple Introducing AIÂ -Â Apple is planning on creating its own generative AI Large Language Model (LLM) and introducing it to Siri, iMessage, and Xcode.
NVIDIA New AI Agent  - NVIDIA researchers have developed a new AI robot called Eureka. It generates its algorithms to train robots, such as teaching them to spin a pen.
Gates Not Bullish On AIÂ -Â Bill Gates says that current AI tech has reached a plateau and that the upcoming release of GPT-5 wonât move the needle that much.
Weekly Favourites â€ïž
đïžÂ Podcast - Colin and Samir: An Honest Conversation with Ali Abdaal.  Ali Abdaal is probably one of the biggest reasons I started my YouTube channel, so I have practically listened to most of his stuff. I always find his podcasts interesting and insightful, and this one is no different.
đŹÂ YouTube - Alex Hyett. Through browsing the internet, I came across Alexâs blog and subsequent YouTube channel. Alexâs journey from full-time software engineer to content creator is very interesting. Alex provides fantastic advice and knowledge on topics from computer science to entrepreneurship. Highly recommend anyone to check out some of his work!
đ Article - The Illustrated Word2vec. This week I have been trying out some new embeddings for one of our models. During this process, I realized that I donât fully understand how embeddings are produced. A colleague suggested this post by Jay Alammar, and just WOW. This amazing explanation is one of the best I have read.
(PS: Some links are affiliate links that I get a kickback from with no extra cost to you đ)