wespiser_2018

7 ms·

1.
A Day in the Life of an AI Software Engineer(wespiser.com)
2 points by wespiser_2018 5d ago|0 comments
2.
Church of the TigerBeetle: A Look at Tech Evangelism(wespiser.com)
18 points by wespiser_2018 26d ago|9 comments
3.
Church of the TigerBeetle(wespiser.com)
1 points by wespiser_2018 1mo ago|0 comments
4.
by wespiser_2018 2mo ago
<code> let middle = min_idx + ((max_idx - min_idx) / 2); </code> Respect!
5.
Salience-Driven Development(wespiser.com)
2 points by wespiser_2018 2mo ago|0 comments
6.
by wespiser_2018 3mo ago
Author here: I'm curious if anyone has run into similar observations: founders that sounds great, are talented/ambitious, but their purpose for building is more aligned with internal satisfaction than external reality.
7.
Startups as Reality Contact Machines(wespiser.com)
2 points by wespiser_2018 3mo ago|1 comments
8.
by wespiser_2018 3mo ago
It's pretty interesting, but Bebop is barely treat motivated, and mostly inside. Once you take him outside, especially in open areas, he becomes more interested in tracking movement and chasing things. I believe it's explained by
9.
by wespiser_2018 3mo ago
If I repeat this experiment, I'll be a lot more careful about that, or also alternate which direction I'm standing in. I didn't realize R/L preference was biased until I did the data analysis, and during the trials he wa
10.
by wespiser_2018 3mo ago
With Bebop, it's dead birds! He also finds them, then checks the same spot for months afterwords!
11.
by wespiser_2018 3mo ago
Author here, yes, that's correct. The initial set-up was to do 3 comparisons of the 5 treats (30 trials), alternate between right and left hand, then write a quick python script to randomize the order. A bit more than halfway through t
12.
by wespiser_2018 3mo ago
That's awesome! Thank you!
13.
by wespiser_2018 3mo ago
Author here: I did a quick experiment with my Greyhound, Bebop, to figure out the treat he prefers best using pair-wise comparison analyzed with the Bradley-Terry model. Same tech as Elo scores in chess, and several other places! Enjoy!
14.
Finding the best dog treat with statistics(wespiser.com)
142 points by wespiser_2018 3mo ago|57 comments
15.
by wespiser_2018 4mo ago
Hi Folks, author here! Curious if people have run into the same issues, or heard the same things.
16.
The AI Productivity Trap(wespiser.com)
3 points by wespiser_2018 4mo ago|1 comments
17.
Swatch Royal Pop: A Grotesque Spectacle of the Absurd(wespiser.com)
1 points by wespiser_2018 4mo ago|0 comments
18.
by wespiser_2018 4mo ago
Practically speaking, Bebop is very excited to go out, and vetos are most common going home. A plan with options might handle that, but that makes it trickier to satisfy the novelty constraint if each days plan needs to account for what was
19.
by wespiser_2018 4mo ago
Author Here: I wrote this about using numerical optimization to solve problems in my daily life. I'm interested if anyone else has done the same, and what worked for them!
20.
The Traveling Salesdog Problem(wespiser.com)
26 points by wespiser_2018 4mo ago|6 comments
21.
by wespiser_2018 5mo ago
Author here: I wrote this article about a failure I had applying LLM to an enterprise codebase, and ran a quick pilot study on a similar repo to understand the failures better. I'd interested to know, are folks seeing the same things?
22.
AI Can Find the Code. It Didn't Know How the System Worked(wespiser.com)
3 points by wespiser_2018 5mo ago|1 comments
23.
by wespiser_2018 5mo ago
Something like 98 to 99% of prints worked out. When I wrote the piece, the moments of failure shaped the process and my approach, and not representative of the average print. For the most part, my X1C + AMS set up was just plug and play, an
24.
by wespiser_2018 5mo ago
Author here: All logos were supplied by the customers, and a lot of them were custom logos. The real value, IMO, was the name written in text, which is what I'm censoring out in each of the photos. There's still enough demand usin
25.
by wespiser_2018 5mo ago
This is an underrated criticism: plastics get filtered out in certain aesthetic environments: you can't really have a well decorated room with 3D printed parts. Not everyone decorates with plastic, and I've been told this several
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by wespiser_2018 5mo ago
There's a couple YT creators I really like, one of them makes incredible products and sells them from the design side, the other one is running an large and automated print farm. Two different angles on the problem, but both are using
27.
by wespiser_2018 5mo ago
Thanks for your comment! I have just about no interest in pumping out flexi-dragons, although I do have a tupperware container full of them to give to house guests and family. The 3D printing businesses I admire are all folks who are incred
28.
by wespiser_2018 5mo ago
This business ran from summer '24 to late winter '25. I looked at the time for AI generation tools, but things were pretty hacky then, and the general card stand shape had a lot of features built into it for better printing and as
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by wespiser_2018 5mo ago
I way under-estimated how long it would take to actually design something. I did a cost breakdown ahead of time on printing time + materials, but at that time the designs were simple, just text. As things advanced, we had people ask for log
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by wespiser_2018 5mo ago
All logos used were provided by the customer and remain their property.

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