sota_pop

8 ms·

91.
by sota_pop 1y ago
They ARE only “hints” afterall.
92.
by sota_pop 1y ago
While most responders seem to have latched on to the pedantics of my “oop” comment - this is what my comment was intended to imply: why force the verbosity of static types on Python when statically typed (sic compiled) languages typically h
93.
by sota_pop 1y ago
Quotes speak louder than words… However it’s hard to say “what one should or shouldn’t” be implementing in general terms.
94.
by sota_pop 1y ago
Perhaps just a fuzzy feeling. I suppose I haven’t tried using static methods for that purpose. Will give it a shot!
95.
by sota_pop 1y ago
Agreed, it definitely improves my experience when the compiler “knows” the variable types.
96.
by sota_pop 1y ago
Python types - all the onus of static types, with none of the performance! I enjoy packages like pydantic and SOME simple static typing, but if I’m implementing anything truly OOP, I wouldn’t first reach for Python anyway; the language does
97.
by sota_pop 1y ago
Weren’t they just celebrating record profits and patting themselves on the back about the profitability of their clever new giftcard/digital payments program a couple of years ago?
98.
by sota_pop 1y ago
It was purely luck of the context that I noticed, but I received an email notification that someone had messaged me on LinkedIn via my gmail account. When this happens, the email contains the message contents. However, in this case the mess
99.
by sota_pop 1y ago
> “… as a voting… as a weighing…” I’m sure I remember that as a graham, munger, or buffet quote. > “not even wrong” - nice, one of my favorites from Pauli.
100.
by sota_pop 1y ago
I’ve always felt CNNs are much more natural for visual analysis. It’s funny/unfortunate that transformers work SO well that their performance CAN rival CNNs, but it takes so much more work/processing power/model size. CNNs ju
101.
by sota_pop 1y ago
Isn’t this (subdividing into regions and analyzing each region within the context of the overall image) - essentially - the methodology of the YOLO algorithm?
102.
by sota_pop 1y ago
The work of Mike Judge is just eerily prescient on all accounts. Spooky and amazing.
103.
by sota_pop 1y ago
I see this cultural shift resulting from multiple contributing factors: 1. The increasingly litigious environment that is the US. Where people are becoming more risk-averse out of fear of being liable for whatever . 2. The fact that anythi
104.
by sota_pop 1y ago
Can confirm - it’s colloquially known as “dead man’s curve”, just east of the heart of the city.
105.
by sota_pop 1y ago
I’m familiar with this example of hyper-geometry. Put more abstractly, my intuition always said something like “the volume of hyper geometric shapes becomes more distributed about their surface as the number of dimensions increases”.
106.
by sota_pop 1y ago
Wow, I watched a presentation of this idea (2) years ago. It reads like classic flavor-of-the-week jargon-soup engineered to be catnip for unsuspecting VC; ie combining buzzwords HTTP, IoT, AI, blockchain, and the notion of “digital twin” f
107.
by sota_pop 1y ago
I have mentored several young CS students, and the common trait I see and the common advice I always give is that a CS program teaches you how to solve problems. Life experience and your interests should guide you on which problems to s
108.
by sota_pop 1y ago
The japanese concept that neatly encapsulates your first idea is called ikigai .
109.
by sota_pop 1y ago
I agree here. The magic word you’re looking for is liability . The world will always need people to hold accountable for when things don’t meet expectations… and while they seem to be pretty good at holding their own in court, I wouldn’t c
110.
by sota_pop 1y ago
Very cool. In spite of all the deep learning hype, I’ve got deep (no pun intended) love in my heart for Kmeans and all of the unsupervised algorithms. I built a similar library in C# once upon a time, but your builder pattern is neat. I als
111.
by sota_pop 1y ago
Always appreciated the work of Jeremy Howard. Also had a lot of fun using the Fast.ai framework. My experience is similar to your description. When using 2, 3, or more epochs, felt that overfitting started to emerge. (And I was CERTAINLY no
112.
by sota_pop 1y ago
Yes, that does sound very similar. To my knowledge, isn’t that (effectively) how the latest DeepSeek breakthroughs were made? (i.e. by leveraging chatgpt outputs to provide feedback for training the likes of R1)
113.
by sota_pop 1y ago
My understanding of model distillation is quite different in that it trains another (typically smaller) model using the error between the new model’s output and that of the existing - effectively capturing the existing model’s embedded know
114.
by sota_pop 1y ago
Not sure what you mean by “not trained to saturation”. Also I agree with the article, in the literature, the phenomenon to which the article refers is known as “catastrophic forgetting”. Because no one has specific knowledge about which wei
115.
by sota_pop 1y ago
What a journey. Bravo, I am surely convinced beyond a reasonable doubt.
116.
by sota_pop 1y ago
I haven’t personally tried it, but the high-level demos of “khanmigo” created by khan academy seem really promising. I’ll always have a special place in my heart (and brain) for the work of Sal Khan and the folks at khan academy.
117.
by sota_pop 1y ago
I disagree with this wholeheartedly. Sure, there is lots of trial and error, but it’s more an amalgamation of theory from many areas of mathematics including but not limited to: topology, geometry, game theory, calculus, and statistics. The
118.
by sota_pop 1y ago
I’ve always enjoyed this framing of the subject, the idea of mapping anything as hyperplanes existing in a solution space is one of the ideas that really blew my hair back during my academic studies. I would nitpick at your “dots in a circl
119.
by sota_pop 1y ago
Always was a fan of Dilbert, but I especially enjoyed a short story he wrote called God’s Debris when I discovered it as a young undergrad. Sad news indeed.
120.
by sota_pop 1y ago
I resonate with some of this. Personally, I am motivated and driven by understanding “why/how” things work. The actual implementations are rarely more valuable to me than an exercise I know is “good for me” - and one that will help me

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