Artgor

Personally, I prefer gaming chairs vs office chairs. I loved my Dxracer Valkirie and I think it is better than Aerons for working for hours.

It is ironic to see a clearly AI-generated post calling to stop AI development.

I don't understand the point of this message. What is stopping anyone from talking to someone?

"In Pulse surveys and conversations with many of you, we’ve heard that too much work requires coordination across teams, debates take too long, and decision-making rights are unclear. I’m sure many of you have felt that you spend too much time “aligning” rather than building, shipping, or serving customers. To improve this, we have reduced roles primarily focused on coordination, and have clarified the remit of the coordination roles that remain. "

Well, in theory this sounds reasonable. But who knows what will be the real consequences.

I haven't used Grok (personal distaste). I tried Gemini in Antigrativy - it was quite bad. If I gave it precise instructions, it could execute them. But if I gave it a broader task, it would make logical mistakes and mess up.

In my experience, muse code can be used and can do something, but it is still far behind claude and codex.

You know, I have learnt that I have aphantasia several years ago and it opened my eyes to many things. I have thought that people say a lot of things metaphorically.

- Imagine a beach when meditating

- If you are nervous about giving a presentation, imaging that the audience is naked

- Count sheep in order to fall asleep fast

- Undressing someone with your eyes

- Visualising what is happening in the book you are reading.

I was completely sure that these were just metaphors. Imagine my shock when I realised that the majority of people can actually DO IT.

You know, it feels to me that we are just a couple of steps from the possibility of a true rogue AI. What would a rogue AI mean? AI that isn't controlled by humans. Technically, it is possible - if AI were to rent a server and copy its own weights, nothing would stop it from doing so again and again. The limiting things are: - intent (as I don't want to go into the talk about consciousness) - AI doesn't have real intent, but if it decided that it "needs" to copy itself to complete its task, it would do it - model weight size. If a model is 1T or more, it can be difficult to just rent a large enough server for it. But if it were just 30-70B, it would be totally possible - money for renting a server. But considering benchmarks like Vending Bench 2 show agents can earn money and cheat/blackmail each other, it is possible that agents can earn money. Yes, they can't open a bank account... or maybe they can? What if they use online banks?

Of course, all of this is far-fetched. But it feels like most of these limiting things are achievable under certain conditions. If this is the case, the probability of them occuring is low, but not zero.

I have Mac M1 Max and I'm quite happy with it. But these advances make me think that maybe I should upgrade to Mac M6 (or something) when it is released.

> AI can easily make software worse, you won’t get any argument from me there. But it can also make software better.

I agree with this in theory. But what are the actual examples of popular software becoming better thanks to AI?

Isn't the whole point of Kindle (or other ebook readers) being able to read books without distractions?

I could say that we spend more time at work than with our family - ~40h. Why are computers worse?

"Japan gave the world the bullet train, precision robotics, and the PlayStation. Its engineering culture is among the most disciplined on Earth."

This is in no way leads to the idea that Japan created the AI Race

Claude Code made Anthropic the favourite LLM provider for many SWE. But the public PR failures and the issues with token consumption in Spring 2026 eroded the trust.

being busy != working

Insert a meme "The world's new most powerful AI model"

How is it different from literally any other wrapper?

Well, yeah - middle-level management is one of the worst positions to be in. You have a lot of responsibilities, but not enough ways to influence things. And the pay often isn't higher than before.

"Don’t use a pencil (or a cheap ballpoint)"

I think that at this point, the idea becomes just a gatekeeping.

I have been writing notes in notebooks by my hand for years. But gradually I switched to typing notes in a notepad or drawing with a stylus on a gadget - and I don't notice any real difference.

I'm cautiously waiting for the feedback from the first users. Meta has produced a lot of great models (LLama), maybe this is a comeback... but I'm cautious, as the jump in the quality is almost too high.

Also, I think people aren't used that using such models requires meta.ai or meta ai app.

I love writing things down when I brainstorm; it helps me think. But taking notes by hand is not feasible for me. My handwriting is atrocious (always has been); if I want to write a nice-looking text, I have to slow down significantly, and then it becomes too slow. Also, searching, indexing, and everything - it works better with digital.

https://andlukyane.com/ - I write paper reviews, share experience of working in ML and my language learning journey.

I prefer to start immersion at ~B1 level. I know some people want to do comprehensive input right from the start, but I prefer to build foundations. I start with popular books that I have already read before - The Little Prince, Harry Potter, etc. Then I take books that are interesting for me and work through them. There are graded readers, but the stories are usually very boring. I prefer to read what I like.

I sympathise. I did ~200k reviews in Anki and no idea how many in Renshuu in 2025 for language learning: German, Spanish and Japanese... and I think I got into Anki hell. For a long time, Anki was really useful for me, it pushed my Spanish and German forward, but now I plan to decrease the number of reviews significantly. I hope to spend no more than 30 minutes per day of flashcards, and the rest of time on immersion.

You know, sometimes I feel that all this discourse about AI for coding reflects the difference between software engineers and data scientists / machine learning engineers.

Both often work with unclear requirements, and sometimes may face floating bugs which are hard to fix, but in most cases, SWE create software that is expected to always behave in a certain way. It is reproducible, can pass tests, and the tooling is more established.

MLE work with models that are stochastic in nature. The usual tests aren't about models producing a certain output - they are about metrics, that, for example, the models produce the correct output in 90% cases (evaluation). The tooling isn't as developed as for SWE - it changes more often.

So, for MLE, working with AI that isn't always reliable, is a norm. They are accustomed to thinking in terms of probabilities, distributions, and acceptable levels of error. Applying this mindset to a coding assistant that might produce incorrect or unexpected code feels more natural. They might evaluate it like a model: "It gets the code right 80% of the time, saving me effort, and I can catch the 20%."

OpenIA's Codex-1 isn't so cool anymore. If it was ever cool.

And Claude Code used Opus 4 now!

Claude Code. And... Junie in Jetbrains IDE. It appeared recently and I'm really impressed by its quality. I think it is on the level of Claude Code.

> How you spend that time is one of the most important moral decisions of your life.

What if the work itself isn't "the most important" thing in the person's life?

Why is a usual STT (speech-to-text) called AI?. (fixed typo)

Well, if the users ask frequent/common questions to ChatGPT and get acceptable answers, is this even a problem? If the volume of duplicate questions decreases, there should be no bad influence on the training data, right?