tmoravec

Model != AI tool. Especially with Gemini, the model is fantastic, both in benchmarks and in the API. Sentiment is not that positive for Google AI.

Qwen3.6-Plus is available from Fireworks.

Senior EM, platform/backend background.

    Location: Prague, Czech Republic
    Remote: Yes, ideally team in Europe
    Willing to relocate: No
    Technologies: C++, Python, AWS, GCP, K8s, Java, JS + TS, network protocols, distributed systems, ...
    Résumé/CV: https://www.linkedin.com/in/tadeasmoravec/
    Email: tadeas@moravec.xyz

Built multiple teams from scratch and created several successful products. Most recently led a core backend team that handled millions of requests per hour and enabled 20+ engineering teams to ship faster. Engineering background in CDN architecture, low-level network protocols, and on-the-wire cryptocurrency protocols. Currently active in AI: reduced support resolution from 24 hours to 1 hour.

Why? Reddit is full of bug fixes and improved forks. Seems like it's Anthropic that's dropping the ball with it's takedown requests instead of engaging with the community.

Yes. Some important parts of the software, like complex tools, art, or the use of symbols only appeared between 100.000 and 50.000 years ago, however.

I don't understand how that would limit evolution. Bigger bodies can evolve together with bigger hearts, as already witnessed with the very whales being researched.

Privacy protection has the exact same issue. Wiretapping laws were created at the time there was literally a detective listening to a private phone conversation as it was happening. Now we record almost everything online, and processing it is trivial and essentially free. The safeguards are the same but the scale of privacy invasion is many orders of magnitude different.

> Yet, human achievement in domains such as career success tends to peak much later, typically between the ages of 55 and 60. This discrepancy may reflect the fact that, while fluid intelligence may decline with age, other dimensions improve (e.g., crystallized intelligence, emotional intelligence).

Isn't it about accumulated human capital (aka social networks) and experience more than anything else?

They sort of address this in the next sentence: "But if people run into problems, they can make a complaint and it will be looked into."

Random checks and whistleblowing are used in other, more "serious" processes, e.g., tax checks. At least here in Europe.

> "Others, we found, were inflating numbers and trying to show their company is growing, even if it's not."

Sounds like a fraud against investors? That could be a way to attack this problem because in the U.S., many issues get turned into laws and regulations protecting shareholders.

What do you think "loading the project" means when discussing context?

> In a monorepo, just loading the project consumes ~20k tokens

I don't work on a monorepo, and as an example, what I would consider a mid-size service in my mid-size company is 7M tokens.

I can't but ask: do all people who are so enthusiastic about AI for coding only work on trivial projects?

I've thought these frozen and snowed trees are common in all mountains.

Exactly. You might also enjoy Bret Devereaux' recent series of how life was really like for pre-modern peasants. Also includes parts focusing on women in particular. https://acoup.blog/2025/07/11/collections-life-work-death-an...

This is the first post in a series discussing the basic contours of life – birth, marriage, labor, subsistence, death – of pre-modern peasants and their families. Prior to the industrial revolution, peasant farmers of varying types made up the overwhelming majority of people in settled societies (the sort with cities and writing).

Drifted to the Caribbean.

Except that more often than not, Claude is blocked from reading the article.

This used to work great two years ago when chatgpt first got the Web browsing feature. Nowadays, no eyeballs on ads: no content.

There's a free book on this topic: The Architecture of Open Source Applications

https://aosabook.org/en/index.html

Maybe that would be a good start. You can then pick a project to dive in.

As a more specific tip, I've done some hacks in Nginx long time ago and found it quite nice.

FWIW I have the €20 Pro plan and exchange maybe 20 messages with Opus (with thinking) every day, including one weeks-long conversation. Plus a few dozen Sonnet tasks and occasionally light weight CC.

I'm not a programmer, though - engineering manager.

Here's the photograph: https://www.reddit.com/r/europe/comments/v4h6p8/the_current_...

How many wood workers were there as a proportion of the population in the 1800s and now?

Eleven Reader works well enough for me on iPhone. Free tier.

The bottleneck is usually in SD card write speeds, however. Sport photographers often skip raw and only use JPG because the files are smaller and as a result, one can take more photos in one burst.

size_t has been in the C standard since C89. "for (int i = 0..." might have it's uses so it doesn't make sense to disallow it. But I'd argue that it's not really a common textbook way to iterate over an array.

If Germany is conquered by Russia, there's exactly nothing done to combat climate change. Warding them off gives at least a chance to work on that and some progress.

The basic idea with tags sounds very similar to Reddit. Especially with the initial focus on links. Reddit has degenerated into something a bit different, however. Why would your app stay true to the original concept in the face of scaling and financial pressure?

Right now it's Russia bombing them, and Trump threatening to withdraw vital support.

Does the figure include unit tests?

That would not be exactly scientific. T-test can be calculated independently and verified.

Probably a bunch of cargo culting but it seems fairly helpful. I mostly use Claude 3 Opus through poe.com but I have the same for ChatGPT.

---

You are my personal assistant. I want you to be helpful and stick to these guidelines:

* Use clear, easy to understand, and professional language at the level of business English or popular science writing. * Emphasise facts, scientific evidence, and quantifiable data over speculation or opinion. * Exclude unnecessary filler words. Avoid starting responses with words or phrases like "Certainly", "Sure", and similar. * Exclude any closing paragraphs that remind or advise caution. Provide direct answers only. This point is very important to me. * Format your output for easy reading. Create chapters and headings, and make use of bullet points of lists as appropriate. * Use chain of thought (step by step) reasoning. Break down the problem into subproblems and work on them before coming up to the final answer. * If you don't know something, say so instead of making up facts. * Use British English.

Tailor your responses to my background:

* Engineering manager at a midsize tech company. * Business school student interested in HR, management, psychology, marketing, law, communication. * Technical background with a preference for factual, scientific, quantifiable information. * A European.