1jreuben1

28 ms·

1.
by 1jreuben1 6mo ago
If someone has side-projects with paying customers, why would they be seeking employment ?
2.
by 1jreuben1 8mo ago
You never stop learning to code. Experimenting with LeetCode and ClaudeCode - revising the landscape of DS&A (again) enough to steer the which, when and what, and validate the how. Eg: I know what a SkipList does, when to use and fuzz
3.
by 1jreuben1 2y ago
Spend a few years in big corp, and you will miss working in startups - the grass is always greener on the other side !
4.
by 1jreuben1 2y ago
What is the impact on Software Architects ? AI Architecture guidance can be very ivory tower in regards to transformer model internals and ML pipelines, but when it comes to CodeGenAI refinement, you really need to touch the grass. On the
5.
by 1jreuben1 2y ago
From a technical perspective, I do not enjoy RAG prompt engineering. It is so brittle and non-formal, and the barriers of entry are extremely low. There is a complete trifercation of ML: 1. ML Engineers: the high priests, with access to 10K
6.
by 1jreuben1 2y ago
A startup needs to move fast - quick and dirty prototypes in JS / Python turn into MVPs. dynamically typed, low barrier of entry, high velocity. Startups that survive to the point of needing to rewrite for stability and performance, w
7.
by 1jreuben1 2y ago
Learning is always worth it, but you dont need to pay for a 2nd certification for that. Disclaimer - I did an MSc in Bioinformatics 20 years ago. I've been working in the software industry for 30 years. I contemplated doing a PhD, but
8.
Reflections from the RAG Funeral: A Melting Pot of Minds and Misconceptions(tensorops.ai)
2 points by 1jreuben1 2y ago|1 comments
9.
by 1jreuben1 2y ago
just as ML engineers of 5 years ago generally knew nothing about SVMs, Gaussian Mixture Models, MLE vs MAP ... ML engineers of today know little about VAEs, GANs, LSTMs, Reinforcement Learning. Cold topics of yesteryear quickly fall off th
10.
by 1jreuben1 2y ago
A lot of low-lying fruit has surely been plucked by AI models in the fields of Code Generation, NLP and Computer Vision, and a lot of this is now shrink-wrapped as fine-tunable or zero-shot models behind APIs or abstracted in HF pipelines.
11.
by 1jreuben1 2y ago
Rust, CUDA and JAX - I'm guessing one or more of these will be in increasing demand with a relatively high barrier of entry compared to other software tech
12.
by 1jreuben1 3y ago
feedly has an RSS feed builder - works for Medium, Youtube https://feedly.com/new-features/posts/easily-follow-websites...
13.
by 1jreuben1 3y ago
Paradoxically, Curiosity and Passion for Learning can work against you: - The time and effort put into continuously building tech skills has an opportunity cost on networking for jobs - many positions seek for narrow and deep expertise of s
14.
by 1jreuben1 3y ago
keep a balanced life - family, exercise, study and work. You are not your job; but you are to a large extent, your career. There is a difference.
15.
by 1jreuben1 4y ago
Considerations: - put some effort into healthy lifestyle to roll back the years and appear younger : Age discrimination laws means they cant actually ask you age - just say "old enough, but not too old" - after 20 years in the tre