My Cardtonic MacBook win, and the hug I didn't plan

My days start at midnight. Between 1 and 2 AM that night, I was working on a laptop that was struggling to keep up and praying it would hold on. In my head, it was wheezing. I still had things I wanted to try, but the laptop I had was making that increasingly difficult.

I'm an AI/ML engineer in training, and my curiosity had taken me into local AI experiments and retrieval-augmented generation, where a model answers using information retrieved from other material. With GenAI assistance, I was exploring these ideas through NES, my local AI workbench. Alongside the rest of my work, that learning was asking more of my laptop.

So I Googled the best laptops for machine learning and found the model I wanted. My circumstances meant I couldn't afford it. Hours later, I came across the Cardtonic application on Instagram. After that search and that prayer over my struggling laptop, the timing felt personal. To me, it was a little miracle: a chance to apply for the support I'd been hoping for.

From application to one of 25 winners

I applied to Cardtonic Upskill 4.0 and worked through two application screenings, a TestGorilla test and an interview round. Then the finalists were announced, and I learned that I had won an M5 MacBook Pro. The laptop I had been hoping for was now a real part of my next chapter.

Cardtonic's MacBook application review figures put the scale into perspective: 19,275 applications reviewed, with 25 MacBook winners in the programme. That works out to one winner for every 771 applications, an overall selection ratio of about 0.13%. I was one of those 25. After the application stages and the uncertainty of waiting, that news meant a great deal to me.

On Saturday, 10 October 2026, I broke character and hugged a business acquaintance in broad daylight because Cardtonic had decided to support my dreams. He looked at me in surprise. This was a side of me he hadn't seen before, and that was how happy I was. I shared the moment in my X post on Sunday, 11 October 2026, so I could keep a little of that excitement in words.

What the MacBook means for my ML training

The M5 MacBook Pro matters because I have specific things I want to learn on it. I want to keep developing retrieval pipelines, work with suitably sized local models, and understand how changes in a system affect its answers. Having a laptop suited to that work gives me more room to experiment and follow a question further.

Apple's M5 MacBook Pro specifications list a 10-core CPU, a 10-core GPU, a 16-core Neural Engine and 153GB/s of memory bandwidth. The shared memory architecture is especially relevant to my interest in compatible local models. I can connect the hardware to something practical: working with model data, running experiments and learning what fits the resources available.

MLX-LM supports local text generation on Apple silicon, and its LoRA and QLoRA guide covers adapting compatible models by training a smaller set of parameters. Those are directions I want to explore: run a model, examine its mistakes, and investigate whether a focused adaptation helps. In NES, my local AI workbench, I've been working through exactly those questions about retrieval, model behaviour and evaluation. I've shared that journey in the companion post.

The support reached another student

The win also meant I could pass my existing laptop to a university colleague studying computer science who didn't have one. The same laptop I'd been asking to hold on could now help someone else with their studies. That part of the story makes me happy too, because I know how much access to a laptop can affect what you're able to attempt.

It felt like killing two birds with one stone. I had support for the next stage of my learning, and my colleague had a laptop for theirs. Cardtonic's decision reached beyond my own desk, and I got to be part of passing that support along.

A stitch in time saves nine feels fitting too. I had been trying to keep my learning moving while hoping my laptop would last. The support arrived while that need was real, and it gave both of us a way forward. It reminded me how much a timely opportunity can change when someone already has the willingness to do the work.

Thank you, Cardtonic, for supporting my dreams and another student's learning through this handover. When I think about that early-hours search and the hug on that Saturday, I understand why my usual composure disappeared. I was happy, grateful and excited to keep going. That's the feeling I wanted to keep in this story.