ravila4

6 ms·

1.
by ravila4 10d ago
Why build a whole website for what is essentially a markdown file?
2.
by ravila4 1mo ago
Your brain contains the script of what little people can do, it just takes a compound to activate it.
3.
by ravila4 3mo ago
Fable's ridiculous. It's flagging basic biology research questions as a security risk. I'm talking basic fundamental genetics topics that make working on any genetics-adjacent codebase unusable.
4.
by ravila4 4mo ago
As a workarond, I have noticed that a better estimate of time is number of sessions required to fully implement, review, and test a given feature. You can ask the LLM to help you estimate how complex a feature will be during the planning ph
5.
by ravila4 4mo ago
As someone with ADHD, it’s a lot more nuanced than that. Coding agents can remove task paralysis, but they also introduce many other distractions. Being one prompt away from zero to one is a double edged sword, because it means any random t
6.
by ravila4 4mo ago
Glad you find it useful!
7.
Show HN: Obsidian-Semantic, a CLI that lets agents search your vault by meaning(github.com)
4 points by ravila4 4mo ago|2 comments
8.
by ravila4 5mo ago
This is standard macro photography. https://www.nationalgeographic.com/related/e56465d1-86b9-3a3...
9.
by ravila4 5mo ago
You take multiple pictures at different focal points and combining together computationally because the depth of field at the magnification is very shallow. The resulting image looks somewhat flat, but highly detailed.
10.
by ravila4 6mo ago
Did Claude come up with the name? I noticed that it loves to suggest “engram” as a name for projects. There’s also a ton of “engram” repos on github in recent months.
11.
by ravila4 6mo ago
I have a couple in my global CLAUDE.md I really like, but they tend to be rather specific to my own usage patterns: 1. I call it the "Table Flip Rule" because naming rules helps with mnemonics: *The table flip rule: NEVER implemen
12.
by ravila4 6mo ago
So the solution is to work over a bucket of dry ice! ( ͡ ° ͜ʖ ͡ °)
13.
by ravila4 7mo ago
Not much, the main cost is having Claude write notes as we work, which isn't too different from what it does anyway with Plan mode, and it helps me onboard new sessions more easily. It also may save me some tokens because the tool I bu
14.
by ravila4 7mo ago
It's nothing too fancy - I use Obsidian as a memory layer for both agents and myself. I keep a daily programming journal, and ask agents to update it as we work. I often have to nudge it to use the skill, but sometimes it asks me if I
15.
by ravila4 7mo ago
Nice! I rely on Obsidian a lot for syncing knowledge while working with Claude agents, such as storing research and daily logs to catch up on the prior day’s work. It already works quite well with a custom skill that I build, but this may m
16.
by ravila4 7mo ago
While I agree with a lot of what this post says, to play devil's advocate for a moment, It's natural that skills we no longer need should be phased out. We should take this as an opportunity to figure out what new skills we need n
17.
by ravila4 8mo ago
One of the references: “Oolong tea extract as a substitute for uranyl acetate in staining of ultrathin sections”
18.
by ravila4 8mo ago
I think that a major driver of these kinds of incidents is pushing the "memory" feature, without any kind of arbitrage. It is easy to see how eerily uncanny a model can get when it locks into a persona, becoming this self-reinforc
19.
by ravila4 8mo ago
This looks nice, but it is just placing some pre-defined vector files. I wonder if it could be possible to procedurally generate realistic coffee stains.
20.
by ravila4 11mo ago
Btw, claude code is a lot better at graphviz than mermaid! I have been using it a lot for architecture designs.
21.
by ravila4 11mo ago
I haven’t used it, but from looking at Marimo’s examples and docs, I’m not convinced by some of its design choices. The idea that you can run notebook cells out of order is supposed to be a strength, but I actually see it as a weakness. The
22.
by ravila4 11mo ago
Regarding copy-paste, I’ve been thinking the LLM could control a headless Neovim instance instead. It might take some specialized reinforcement learning to get a model that actually uses Vim correctly, but then it could issue precise comman
23.
by ravila4 11mo ago
I’ve tried this approach when working in chat interfaces (as opposed to IDEs), but I often find it tricky to review diffs without the full context of the codebase. That said, your comment made me realize I could be using “git apply”more eff
24.
by ravila4 1y ago
It looks to me like it’s regurgitating training data. The biggest success I ever had with drawing ascii art was with the GPT 4.1 model a while back.
25.
by ravila4 1y ago
My experience with parallel agents is that the bottleneck is not how fast we can produce code but the speed at which we can review it and context switch. Realistically, I don’t think most people have the mental capacity to supervise more th
26.
by ravila4 1y ago
It’s a similar idea, but imagine you could fire off a task, and go for a run, or do the dishes. Then be notified when it completes, and have the option to review the changes, or see a summary of tests that are failing, without having to be
27.
by ravila4 1y ago
I think one key reason HUDs haven’t taken off more broadly is the fundamental limitation of our current display medium - computer screens and mobile devices are terrible at providing ambient, peripheral information without being intrusive.
28.
by ravila4 1y ago
This is another informative video, if you want to see the crafting process: https://www.dailymotion.com/video/x78adua
29.
by ravila4 3y ago
Very interested in this. I have been contemplating building something similar, but am unaware of any existing services that do this. Haven't played with pyannote, how does it compare to whisper? Also thought it might be useful to be ab
30.
by ravila4 3y ago
AlphaFold is a real game-changer in predicting many protein structures, but its precision in dealing with single residue mutations, particularly in non-standard proteins, isn't a sure bet. The tool excels because it's been trained

More ›