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searching PlanetScale…
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19 ms
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241.
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Domicles: A novel logic puzzle using Dominoe tiles
(emiruz.com)
3 points
by
usgroup
3y ago
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0 comments
242.
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usgroup
3y ago
I’d say less so over the years but certainly it has been a ladder for me to higher planes. I’ve learned many things here that I may never have otherwise. At the moment i use it as a tech radar, and pulse for my areas of interest.
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usgroup
3y ago
TLDR: LLMs do associative reasoning, but don’t do deliberative reasoning which is more powerful and characteristic of deep thought.
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usgroup
3y ago
I read somewhere in Kasparov's book "How life imitates chess", something along the lines of "there are many things which you cannot be taught but that you can teach yourself". I think this is particularly relevant t
245.
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usgroup
3y ago
I think many cognoscenti will pick languages for their deep aesthetics. That means things like J, Lisp, Prolog, etc. Coding outside of the pedestrian languages can be a border line mystical experience. Mind expanding. Life changing. Just no
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usgroup
3y ago
The Archimedean lever of all languages: Prolog. I’m of the controversial opinion that’s it’s only not used more because of the cognitive overhead of its simplicity. Its few capabilities are so extremely overloaded and productivity very much
247.
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usgroup
3y ago
Oh I'm glad you asked :-) Yes, I'll try it if I have the time, Prolog will be my language of choice, because unlikely a conventional language, when writing in Prolog you are expressing the problem in a computational logic with a p
248.
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usgroup
3y ago
That wasn’t my point. Let me try again. I’ve been writing lots of Prolog recently and asking ChatGPT questions. Many of my questions have been sincere but a bit like the bear trainer — ridiculous for someone who knows what they are doing. M
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usgroup
3y ago
There is at once nothing “wrong” with this response, and it is ridiculous. It is not a question — which without considerable pre-hedging — a person could consider seriously and most would assume an alternative hypothesis for why it is being
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usgroup
3y ago
Prompt for ChatGPT4: give me a quick breakdown regarding how i can become a "space bear trainer" who specialises in preparing bears for space missions. Answer: To become a "space bear trainer," a role that combines aspec
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usgroup
3y ago
My experience is much the same, far from "I've essentially got 15-20 high-priced world-class consultants in every field that I chose to pull from, working at my beck and call..." that OP mentions. I suspect it is because I te
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usgroup
3y ago
Consider trying last year's advent of code -- I think they are fun puzzles, and in my opinion, a programmer able to deal with logically complex requirements should be able to solve them all. I've been a professional programmer for
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usgroup
3y ago
Prolog — a fine piece of kit from yesteryear. I advocate for it for logic and constraint programming use cases which abound.
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usgroup
3y ago
> When I joined, polls showed it to be more like 98 percent male. So non-male membership/participation has possibly quintupled in the 14+ years I've been here. I mention in a separate comment that there is strong reasons to bel
255.
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usgroup
3y ago
Notes on survey bias. HN community is international and from [1] it is around 3.5M monthly unique users. A representative sample would need to be stratified since it is unlikely that — for example — the proportion of female readers will be
256.
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A beautiful embedding applied to defect detection
(emiruz.com)
1 points
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usgroup
3y ago
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0 comments
257.
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usgroup
3y ago
If in “from scratch” you include custom models, then there are vast benefits mostly to do with including domain knowledge or with tackling a problem with more mechanical sympathy. Here is an example from first principles: https://
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usgroup
3y ago
In a full factorial design you’re able to calculate the main effects and all the interactions between everything and everything else: not just pairwise but all combinations of variables. You may not care for that because you don’t think the
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A minimal probabilistic Prolog meta-interpreter
(emiruz.com)
4 points
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usgroup
3y ago
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0 comments
260.
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Data Analysis with Prolog
(emiruz.com)
1 points
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usgroup
3y ago
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0 comments
261.
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Better data analysis with logic programming
(emiruz.com)
1 points
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usgroup
3y ago
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0 comments
262.
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by
usgroup
3y ago
I agree with the sentiment although I'm not sure there is the time for all of it. At least when I took them, probability theory and distribution theory were separate semester long courses, and the former was a prerequisite for the latt
263.
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usgroup
3y ago
My grind was "Mathematical Statistics with Applications" by Wackerly et al. There are PDF versions if you Google for it. I can't say it was quick, easy or intuitive; but it works. I also liked "In all Likelihood" by
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usgroup
3y ago
These things are great if they add value for you, but I would be very skeptical of any non-mathematical approach to statistics. I think statistics is only made clear by mathematics, much the same as Physics. And one cannot grasp statistics
265.
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usgroup
3y ago
I've had similar thoughts, but I think its more to do with what is in your head at the time you hear about it. I found permutation tests satisfying to learn about because they somehow helped consolidate what I knew from distribution th
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usgroup
3y ago
I think Ronald Fisher may not have used bootstrap to calculate confidence intervals; but it looks to me like he invented most of the rest of the syllabus .. in the early 1900s :-)
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usgroup
3y ago
I think so too. I use Prolog for data analysis now because it allows me to include both symbolic knowledge and numeric information. If the numeric modelling elements are straightforward, I code them in Prolog, and if they are not I call out
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usgroup
3y ago
Its a short and approachable -- and turns out wrong in parts -- book, so I'm not sure why its readership is doubtful?
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usgroup
3y ago
I read Plato's Republic -- even as a youth. It is very readable and free from fancy prose. It is also dramatic in parts and written in dialogue form.
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usgroup
3y ago
Well, it is a textbook -- one doesn't necessarily read a textbook from cover to cover. However, over the years I've certainly covered and re-covered large swathes of it. It is largely irrelevant for deep learning but its still the
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