worldsayshi

6 ms·

91.
by worldsayshi 9mo ago
Yeah, I tinker with hardware embarrassingly seldom and my impression was that it was very easy to work with. The screen, which was the issue, is designed to be replaced and I realized it was fixable when I was trying to figure out if I coul
92.
by worldsayshi 9mo ago
> Then, I brought it to my local repair shop. The owner had to tell me that they cannot repair Fairphone's I brought mine to my local repair shop as well and they were completely unwilling to even try to repair it. Then I went home
93.
by worldsayshi 9mo ago
> I think everyone that's ever used GitHub actions has come to this conclusion. I agree that that should be reasonable but unfortunately I can tell you that not all developers (including seniors) naturally arrive at such conclusion
94.
by worldsayshi 9mo ago
I'm not claiming this works for everyone but what sometimes work for me to form a routine is to do the thing but without committing effort to it. I.e. go to the gym but you only promise yourself to go there, not actually spend effort t
95.
by worldsayshi 10mo ago
Yeah but I wonder if there's a structure that can be used to make it useful for larger side projects.
96.
by worldsayshi 10mo ago
> your competitors will be able to replicate in few months. Will they really be able to replicate the quality while spending significantly less in compute investment? If not then the moat is still how much capital you can acquire for bur
97.
by worldsayshi 10mo ago
Would it limit a person getting your instructions in Chinese? Tokenisation pretty much means that the LLM is reading symbols instead of phonemes. This makes me wonder if LLMs works better in Chinese.
98.
by worldsayshi 10mo ago
That's a problem that is at least possible for the LLM to perceive and learn through training, while counting letters is much more like asking a colour blind person to count flowers by colour.
99.
by worldsayshi 10mo ago
How often can the hardness be exchanged with tediousness though? Can at least some of those problems be solved by letting the AI try until it succeeds?
100.
by worldsayshi 10mo ago
I didn't know tardigrades can be big enough to be seen with the naked eye. Apparently big enough to be seen but not big enough to be recognised without magnification.
101.
by worldsayshi 10mo ago
I've thought about using Pulumi many times. Sounds like dagger.io can be a good complement for the workflow use case?
102.
by worldsayshi 10mo ago
Neat! Sounds like Pulumi for workflows. Also, using the dagger github action should make the transition easier I suppose: https://github.com/dagger/dagger-for-github
103.
by worldsayshi 11mo ago
I've not understood the propensity for using yaml for CI pipelines and workflows in general. A decent programming language would be a big improvement. Why not just build the workflows themselves as docker images? I guess running other
104.
by worldsayshi 11mo ago
Or have them disclose before they buy?
105.
by worldsayshi 11mo ago
Yeah it seems crazy to use LLM on any task where the output can't be easily verified.
106.
by worldsayshi 11mo ago
Hmm, it would be nice to just see a heatmap over how many times a line has been changed. There must be some easy-ish way to do that right?
107.
by worldsayshi 11mo ago
I'm surprised there's no mention of fzf. fzf has greatly improved my terminal experience and I tend to incorporate it into almost every script that has any interactivity. I think any terminal of the future could incorporate fuzzy
108.
by worldsayshi 11mo ago
Why not both? LLM:s probably have a lot more potential than what is currently being realized but so does world models.
109.
by worldsayshi 1y ago
80% round-trip efficiency sounds very good. What am I missing?
110.
by worldsayshi 1y ago
So it returns a tool call for "continue" every time it wants to continue working? Do people implement this in different ways? It would be nice what method it has been trained on if any.
111.
by worldsayshi 1y ago
Putting it inside docker is probably fine for most use cases but it's generally not considered to be a safe sandbox AFAIK. A docker container shares kernel with the host OS which widens the attack surface. If you want your agent to pul
112.
by worldsayshi 1y ago
I feel like one small piece is missing to call it an agent? The ability to iterate in multiple steps until it feels like it's "done". What is the canonical way to do that? I suspect that implementing that in the wrong way cou
113.
by worldsayshi 1y ago
There are MCP configured virtualization solutions that is supposed to be safe for letting LLM go wild. Like this one: https://github.com/zerocore-ai/microsandbox I haven't tried it.
114.
by worldsayshi 1y ago
I almost thought I couldn't run more than 6km without getting knee problems. But now I run +10km without issues. I just needed to run often enough, have patience and not run when the body clearly told me to stop.
115.
by worldsayshi 1y ago
Well if there's at least one competitor selling golden geese to consumers the rest have to adapt. Assuming consumers even bother to set up a coop in their living room...
116.
by worldsayshi 1y ago
That sounds eerily familiar to what happened in Sweden.
117.
by worldsayshi 1y ago
My guess is that long term memory recovery is inherently a reconstruction from the pieces that you have retained. So it is not unlikely to include dreamed up parts.
118.
by worldsayshi 1y ago
We hardly react to things deterministically. But I agree with the sentiment. It seems it is more important than ever to agree on what it means to understand something.
119.
by worldsayshi 1y ago
As a citizen of a country with free healthcare, Sweden, I wonder how we deal with these issues. We dont exactly have a stellar record when it comes to software procurement in the health sector.
120.
by worldsayshi 1y ago
It sounds like it takes up a similar niche as PanDoc. Is there any particular feature that Typst is better at or is it mostly about ease of use? (I remember Pandoc to be quite nice to use for simple use cases while also allowing the full se

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