That's a very cool analogy but I might not be understanding something here. Why then do objects that have no light have gravity? If 99% comes from time dilation, why am I stuck to the earth rather than drifting toward light sources?
This article doesn't address writing code with AI, just code review. My issue with agentic coding is that I make numerous micro-architectural decisions while programming. I almost never have a full spec up front and develop one as I consider what I am writing.
When using Claude Code or Codex, that is all gone. Claude Code is extremely eager to reach the end goal to the point that it feels like a fever dream to write code with it. In the end, I have low confidence about edge cases and fit into the project's architectural and design goals.
On top of that, I enjoy programming, reverse engineering, etc. and I feel that the LLMs, while able to solve some problems or deliver some features, take that fun away. I'm trying really hard to find a workflow with them that I'm confident in, but I fear that workflow is just chat, search, and being a rubber duck for my thoughts.
This is helps describe my biggest pain point when engineering a program with LLMs. They do not have the full theory of the program, which makes things difficult. Additionally, the more hands-off approach to programming (even when I try to maintain involvement as much as I can) means that I lose the clear conceptualization of that piece code. I'm still trying it to see if it can work, but it is definitely a vibe shift from making 20 micro-architectural decisions in every function.
I have had success with an extremely aggressive red filter. My unchecked sleep schedule has me going to bed around 4 am, consistent over decades. I don't consume caffeine or any other stimulant. In the last 4 months I switched my lights to LED bulbs to turn red at 6pm and use QRedshift on Linux (Mint) with the temperature set to 1000k at 6pm. I have consistently been falling asleep around midnight. What is remarkable to me is that I am actually feeling tired at night.
I have the complete opposite impression w.r.t. architecture decisions. The LLMs can cargo cult an existing design, but they do not think through design consequences well at all. I use them as a rubber duck non-stop, but I think I respect less than one out of every six of their suggestions.
Did I completely miss the technical aspect of this blog? They list an improvement but no details on how they achieved it. It sounds like a trained embedding model and a vector search. All told though this just reads as boring product talk.
If the US minimum wage is what we have agreed is the minimum amount someone should be paid to have a reasonable quality of life (and it can be argued that it is still too low), then number 3 is the only ethical choice.
I strongly agree on this. I mained Windows for the last few years and got to the point where I was comfortable doing development similarly to how I would on Linux (text editor and command line build tools, cl, ml64, batch, etc.). I did that mostly so I could game and develop on the same machine. I learned a ton doing it but it has just gotten too awful to carry on.
It was faster to rg to search files, drop into WSL and run find for file name searches. The start menu was laggy, explorer was laggy (open up a folder with a couple dozen OGG files and it won't render for a solid minute). Mystery memory usage from privileged processes I had little control over. Once I realized that the one game I play (Overwatch) ran on Linux I decided to swap back.
I installed Linux Mint earlier this year and I've been extremely happy. The memory consumption is stable and low, and if something is broken I have the control to fix it. It just feels so much less hostile. This is largely possible thanks to the work Steam has done with Proton. The last real barrier is kernel level anti-cheat which prevented me from trying out this years Call of Duty. Oh well!
I don't really care if it is calm or not, I care if it teaches me a language. Duolingo doesn't really get you there in terms of language learning. Also, does it teach speaking, listening, reading, writing? Each of these goals is different.
My current project uses Wails and a previous one used Tauri. I like Tauri a bit more but not enough to justify porting Go code to Rust. The primary difference I run into is how the JS <-> native interface is exposed, but this is very minor.
Tauri is much slower to build, I think this is just the nature of Rust though. Stats here. [1]
I have used Gemini's 2.5 Pro deep research probably about 10 times. I love it. Most recently was reviewing PhD programs in my area then deep diving into faculty research areas.
I have this exact same problem with OGG files. Either their parser has some insane bugs or they are starting an isolation VM per file to run the parse. Either way, unusable.