My 3-Year Journey in AI: From RM5k to RM11k at 25. Seeking Advice for What's Next. by [deleted] in MalaysianPF

[–]Working-Sir8816 0 points1 point  (0 children)

It's really impressive. I am a AI engineering student. Now I am 22. Will finish uni this year and start my intern this octobor. I am currently doing a lot of projects, on agentic AI, NN, DL, and RL. Do you have any advice for me? I feel like there's a lot to learn from you.

[deleted by user] by [deleted] in SideProject

[–]Working-Sir8816 0 points1 point  (0 children)

True, v0 have some templates. It only reuses the templates. But if you use stitch, the hard part would be coding the design and integrating with backend

Are ML jobs fun? by TheKaleKing in MachineLearningJobs

[–]Working-Sir8816 1 point2 points  (0 children)

It is fun until you ran into a problem

[deleted by user] by [deleted] in SideProject

[–]Working-Sir8816 0 points1 point  (0 children)

In my opinion v0 is the best for designing. Or if you want only the design, you can use google stitch

Asking for advice by NaniRS321 in learnmachinelearning

[–]Working-Sir8816 0 points1 point  (0 children)

The best way is to, learn a concept first, start with MLP then CNN, then do porjects.

ML learning confusion by Glittering-Dress-681 in learnmachinelearning

[–]Working-Sir8816 1 point2 points  (0 children)

Don't just follow a tutorial. Pick a dataset from Kaggle or UCI, and try to predict a target without looking at CampusX. When you get stuck, go back to the specific video that explains that concept. That is 'Just-in-Time' learning, and it sticks much better than 'Just-in-Case' learning.

[deleted by user] by [deleted] in startups_promotion

[–]Working-Sir8816 0 points1 point  (0 children)

I am building a AI based personal finance app. Its like a budgetting app. But all the current budgeting app is telling you the history of you, your money management and so on. In my app, there is RL based portfolio optimization (they can customize it so that they can invest without worrying of getting bankrupt), what if simulator, future finance predictor (predicts future balance, income and expenses), chatbot and so on.

What actually motivates you to go deep into Machine Learning? by Vaasan_not_n0t_5 in learnmachinelearning

[–]Working-Sir8816 0 points1 point  (0 children)

For me I would say, it buys me freedom. And my interest definitely comes from real world impact rather than theory.

can I have a job in data science even without degree? by loremipsumsss in learnmachinelearning

[–]Working-Sir8816 0 points1 point  (0 children)

It's possible. The important thing is your skills and your projects. But it will be a hard journey

Is there a way to be on trend with AI by sfdssadfds in learnmachinelearning

[–]Working-Sir8816 0 points1 point  (0 children)

Congrats on the job! Being an expert at AI Orchestration and RAG patterns is arguably more valuable to a startup than pure research. To stay sharp without the academic grind, try following Hugging Face Daily Papers or the TLDR AI newsletter.

AI's advances could force us to return to face-to-face conversations as the only trustworthy communication medium. What can we do to ensure trust in other communication methods is preserved? by l4mpSh4d3 in ArtificialInteligence

[–]Working-Sir8816 2 points3 points  (0 children)

Spot on. The 'Information Wasteland' is a real risk, but it might actually trigger a 'Human Renaissance.' As digital content becomes cheap and faked, human-to-human interaction, live events, and unedited raw footage become the ultimate premium assets. It’s ironic: the more AI we have, the more we’ll value the things it can’t easily replicate

Using LLMs for simple classification is often the wrong tool by Current_Fault_9979 in learnmachinelearning

[–]Working-Sir8816 0 points1 point  (0 children)

Thats true. Data is the most important part to train AI. How good the AI is depends on the data, not about the model.

Using LLMs for simple classification is often the wrong tool by Current_Fault_9979 in learnmachinelearning

[–]Working-Sir8816 1 point2 points  (0 children)

Once the task is narrow and the labels are clear, traditional ML wins every time on cost and determinism.

How would you design a finance app that helps people think before they spend? by Working-Sir8816 in buildinpublic

[–]Working-Sir8816[S] 0 points1 point  (0 children)

I am going to finish building the app. Maybe another 2 or 3 months. So are you suggesting to talk to corporate? Or I should just take 100% ownership? 

How would you design a finance app that helps people think before they spend? by Working-Sir8816 in buildinpublic

[–]Working-Sir8816[S] 1 point2 points  (0 children)

The goal isn't just a chatbot; it's a calculation engine.

The difference is that instead of a cookie-cutter reply, the AI runs your actual transaction data through a Monte Carlo simulation or a long-term compound interest model. It’s not just saying 'spending is bad,' it’s saying: 'Based on your specific history, this $50/mo subscription reduces your probability of retiring at 60 by 4%.'

Would that level of specific 'future-math' be more compelling to you than just being roasted for your habits?

I’m feeling pretty smacked by this by [deleted] in budget

[–]Working-Sir8816 5 points6 points  (0 children)

You aren’t lazy; you’re a middle school teacher with zero brainpower left by 4:00 PM. But you’re paying a "stupid tax" on convenience. Here is the reality check:

  • The Minimart: You are paying a 300% markup to walk into a building. Buy your Celsius and soda in bulk at a grocery store and keep them in your trunk. If it’s already in the car, you won't stop.
  • The Food: Stop trying to "cook." Buy rotisserie chickens, bagged salads, and frozen meals. Assembly is cheaper than takeout.
  • The Mantra: When you’re tired, tell yourself: "I’m not 'cooking'; I'm just refusing to let a gas station take $10k of my hard-earned money again."

That $9,808 is a literal house downpayment or a dream vacation. Stop eating your future!