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mg
searching PlanetScale…
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8 ms
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61.
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mg
10mo ago
Six months of one developer tuning the kernel? That seems like not much compared to the hundreds of billions of dollars US companies currently invest into their AI stack? OpenAI pays thousands of engineers and researchers full time.
62.
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mg
10mo ago
560g is fine. But I wouldn't want to work on a 11.5" device. Something between 13" and 14" is my preferred size. And I would want to do a normal Debian stable installation. Just like I can on a Lenovo laptop. The Librem
63.
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mg
10mo ago
Does that mean that one will be able to purchase tablets with this chip and replace the OS with Linux? That would be great. As far as I know, there currently are no options for lightweight tablets that support Linux. Not sure how well WSL2
64.
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mg
11mo ago
8.6 MB - wow! There must be way more in there than just running Python code. I once implemented a small subset of PHP in PHP (just enough to run the code I wanted it to run) and it took me 320 lines of code. The file (gloriously named php.p
65.
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mg
11mo ago
I think it shouldn't be too hard to just output g-code via a Python program? That is the direction I will probably first look into when I get to the g-code level of my 3d-journey.
66.
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mg
11mo ago
For the core of my engine, I just need to build some basic mesh tools like mesh(), combine(), intersect(), difference(). Everything else, common objects like cube(), sphere(), disk() and common operations like move() and rotate() is then si
67.
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mg
11mo ago
From what I have seen so far, OpenScad is the closest to how I would like to build my objects. The two main differences to how I want to work are: 1: I want to use a web-based solution. I don't like to install software. I just want to
68.
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mg
11mo ago
Fullcontrol looks interesting, thanks! I just started 3D printing a few weeks ago. I already realized that I need to write my own CAD software. None of the existing ones are the way I want to design objects. That will probably take a few mo
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mg
11mo ago
I wouldn't mind long print times. I am not sure, but "fuzzy skin" seems to intentionally sacrifice some adherence to the object's exact shape? "folded outline" would not do that. If the printer prints it exactl
70.
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mg
11mo ago
I often wonder if there should be something like a "folded outline" mode in slicers. For example, it would make the outer left wall of an object: │││││││ │││││││ │││││││ │││││││ Inside of the object │││││││
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mg
11mo ago
For now it seems to be just a list. If it had a "significance" attached to each event and a slider one can use to set the significance threshold, then it would be what I mean.
72.
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mg
11mo ago
This misses the overview. It has lots and lots of technologies all at the same size. And no way to zoom out.
73.
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mg
11mo ago
Yes, but I think it makes a nice view to point to some first popular instance of something. Otherwise everything becomes fuzzy. For example, there was AI in the 60s. But ChatGPT was the first that achieved mass adoption.
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mg
11mo ago
I put Facebook up there to point towards the beginning of social media.
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mg
11mo ago
I always wanted something like a "History of human progress" which when zoomed out shows me something like this: -2000000 Stone tools -1000000 Using fire -6000 Metal tools -6000 Agriculture -4000 Wri
76.
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mg
11mo ago
When I look at the new pipe syntax ... $output = $input |> trim(...) |> (fn (string $string) => str_replace(' ', '-', $string)) |> (fn (string $string) => str_replace(['.
77.
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mg
11mo ago
Neither are humans.
78.
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mg
11mo ago
That makes me wonder if we could simply test this by letting the LLM add or multiply a long list of numbers? Here is an experiment: https://www.gnod.com/search/#q=%23%20Calcuate%20the%20below%... The correct answer:
79.
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mg
11mo ago
If a model is not making use of the whole context window - shouldn't that be very noticeable when the prompt is code? For example when querying a model to refactor a piece of code - would that really work if it forgets about one part o
80.
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mg
11mo ago
The match/when approach also needs more code. 393 instead of 360 chars.
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mg
11mo ago
Hmm... one moment. The first example function they provide: function handleResponse(response) { return match (response) { when ({ status: 200, data }) -> data when ({ status: 401 }) -> throw new Error(’Un
82.
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mg
11mo ago
RedShift1 complains that GCP is "deprecating stuff". I wouldn't put doing regular updates in the same problem category as having to deal with part of your stack disappearing. To me "I wish they would stop deprecating stu
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mg
11mo ago
One approach to prevent being hit by "stack rot" is to build everything on top of plain Linux VMs. Those rarely change.
84.
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mg
1y ago
Looking at the syntax, I wonder how close one could get to it in a "normal" programming language. x -> y: hello world declares a connection between two shapes, x and y, with the label, hello world When I r
85.
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mg
1y ago
That definition would mean that smarter investors, who can think faster and further ahead, get information faster. And therefore have information now that others do not. That seems to be directly the opposite of the common definition of the
86.
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mg
1y ago
So $400B per year is currently spent on datacenter buildout? To see if that is too much or not, we have to put that number in relation to the value those datacenters will create in the future. If global GDP is $100T and labor is 50% of that
87.
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mg
1y ago
But do we see that happen? That would mean that the p/e-ratio of a company would rise sharply long before the profits set in. And that rise would be called "mysterious" by the general public. And then only when the profits se
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mg
1y ago
the hypothesis maintains that stock prices reflect all relevant information about the stock This is a common description of the EMH. But every time I read it, I think: Does information really directly impact the price of a
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mg
1y ago
Testing it across LLMs, you indeed get some interesting responses: https://www.gnod.com/search/ai#q=Is+there+a+seahorse+emoji%3... Mistral being among the funniest ones: The correct seahorse emoji is: [draws
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mg
1y ago
Look at the human body. 2% of it is dedicated to thinking. My guess is that as a species, we will turn a similar percentage of our environment into thinking matter. If there are a billion houses on planet earth, 2% of it are 20 million data
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