<!-- SC_OFF --><div class="md"><p>Agents are amazing. Harnesses are cool. But the fundamental role of a data scientist is not to use a generalist model in an existing workflow;
<!-- SC_OFF --><div class="md"><p>I have a degree in information technology, but I didn’t focus enough during my undergrad to really grasp technology as a whole. Now, I work in
<!-- SC_OFF --><div class="md"><p>So i am pivoting from bioinformatics to AI engineering and i want to go all in. Get my fundamentals down, get comfortable with coding, underlying
<!-- SC_OFF --><div class="md"><p>I want to make an AI Project or something, I want to know how realistic it is for me to be able to make my own like chatbot or something. I know
<!-- SC_OFF --><div class="md"><p>I work at Microsoft CoreAI as an engineer, and have offers from three equally competitive PhD programs starting Fall 2026 and the Claude Code
<!-- SC_OFF --><div class="md"><p>Are these degrees worth studying anymore or are they are relative high risk to AI? Im debating studying econometrics which uses a lot of maths
<!-- SC_OFF --><div class="md"><p>I did my B.Tech in AI/ML where I learned core machine learning concepts like model training, evaluation, etc., and also completed an ML
<!-- SC_OFF --><div class="md"><p>With all the crazy announcements from OpenAi Claude and now Gemini which plan or AI should i choose as beginner to rewrite my small multiple
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