Dmitry Wooky

Software architect wondering if we’re building gods or tools

[Dmitry Wooky @iwooky]

Kinda wild that the CEOs of Anthropic, OpenAI, and Google are all showing up at the G7 next to the usual political bosses.

And this is happening right after the U.S. restricted access to Anthropic’s latest models on national-security grounds. At this point, AI is very clearly not “just tech” anymore — it’s becoming geopolitical infrastructure, and yeah, a political tool.

[Dmitry Wooky @iwooky]

Psalm 45 says, “at your right hand stands the queen.” Christian tradition often sees this as a prophetic image connected to Mary: if Christ is the King, then His Mother has a special royal dignity, not independently from Christ, but because of Him.

In Jewish and Old Testament royal culture, the mother of the king had a special status. In the Davidic kingdom, the queenly figure was often not the king’s wife but the king’s mother. The books of Kings frequently mention the mother of the king, which shows her recognized importance in the royal household.

[Dmitry Wooky @iwooky]

Neura Robotics just raised $1.4B to build humanoid robots and as someone working in software I find this way more interesting than the usual robotics hype.

Two things stood out to me:

They’re building actual physical training facilities (“NEURA Gyms”) where robots practice real messy tasks instead of relying mostly on simulation. Anyone who’s touched ML knows the sim-to-real gap problem. Good grounded training data is rare as hell and they’re basically building a pipeline for it.

Second thing is the “Neuraverse” - robots share learned skills across the fleet. One robot figures out some tricky manipulation task and the rest just get the update. Basically federated learning meets GitHub for robots.

Maybe I’m too optimistic but this looks less like another robotics startup and more like infrastructure for physical AI. Also nice to see a European company actually swinging big for once.

[Polymarket @Polymarket]

NEW: German startup Neura raises $1.4 billion to build humanoid robots.

[Dmitry Wooky @iwooky]

@robj3d3 Has anyone already counted Rs in strawberry?

[Dmitry Wooky @iwooky]

@aledeniz @Hesamation What do unqualified workers usually make? Like idk a waitress or something?

[Dmitry Wooky @iwooky]

@Medvjed @Hesamation Why not? Italian devs are dumber or what, for that kind of money expecting decent results is really optimistic

[Dmitry Wooky @iwooky]

@abhijitwt it’s still one of the best

[Dmitry Wooky @iwooky]

@steipete every other week it’s something new

[Dmitry Wooky @iwooky]

“Questioning technical interviews sometimes feels like farting in church.”

Found that pitch in Steve Yegge’s article and it made me laugh out loud (it’s funny, but also painfully accurate).

I’ve seen how much faith our industry puts into technical interviews, even when they often measure performance under artificial pressure more than real engineering ability. Whiteboard puzzles, timed coding rounds, and one-hour system design sessions can reveal something, sure – but they rarely show how someone actually works in a team, navigates ambiguity, reviews code, learns a codebase, or ships value over time.

What I liked about the article is the idea that we should stop simulating work and start evaluating real work. Paid trial tasks, short collaborations, or “campfire”-style interviews sound much closer to how engineering actually happens.

My personal opinion: technical interviews are not useless, but they are overtrusted. They should be just one weak signal, not the sacred gatekeeping ritual we pretend they are.

Worth reading: https://t.co/kBtAfrDKCl

[Dmitry Wooky @iwooky]

@tszzl You made a mistake saying people think, twice

[Dmitry Wooky @iwooky]

@ShamashAran Why?

[Dmitry Wooky @iwooky]

@petergyang that’s part of the vendor lock game

[Dmitry Wooky @iwooky]

@Its_Nova1012 Both valid, the real questions where each case is more applicable

[Dmitry Wooky @iwooky]

@sri9s don’t forget to put a founder label in bio

[Dmitry Wooky @iwooky]

@Kikobeats you just added to ignore all of your code? lol

[Dmitry Wooky @iwooky]

@yadavji_codes give me your card number I will check it if it’s valid

[Dmitry Wooky @iwooky]

Google’s latest core update finished rolling out yesterday, and the practical conclusion is pretty simple.

The advice on how to appear in AI answers is not very different from the advice good SEO people have been giving for years.

The difference is that Google now understands a page much better than before. Not just as a set of keywords, links, and technical signals, but as a full piece of content: who wrote it, what it answers, how useful it is, and whether it can be trusted.

AI answers still contain links. So if you want your site to be among them, I would start with a few simple things:

– Make sure your most important pages clearly answer specific questions people actually ask.

– Show who wrote the content. Ideally, it should be a real person whose experience is easy to check.

– Use data more than opinions. Opinions are fine, but numbers, examples, research, cases, and first-hand experience are much stronger.

– Do not produce pages just because you can produce them cheaply with AI. Scaled, repetitive, low-value content is exactly the kind of thing Google keeps moving against.

– Remember that search is no longer only text. If the topic needs images, tables, diagrams, video, comparisons, or examples, add them. Not for decoration, but because they help people understand.

– Check the technical basics again. Speed, structure, indexability, internal links, clean pages, clear titles, and a good user experience still matter.

– And I would not waste time on fashionable tricks like LLM.txt or other “AI SEO” shortcuts. They may sound clever, but they are not a strategy.

So, in a way, nothing radically new happened.

It just becomes harder to cheat, manipulate, and fill the internet with pages made only for ranking.

My advice would be this: don’t treat “SEO for AI” as a separate game. Make the page useful, clear, trustworthy, and easy to understand.

That is good for Google, of course.

But more importantly, it is good for people.

[Google Search Central @googlesearchc]

The rollout was complete as of June 2, 2026.

[Dmitry Wooky @iwooky]

If the future is AI-centric, do we still need humans?

Consider a simple model of investment and return for a human. Traditionally, the more work experience accumulated (i.e., investment), the stronger the capability, and the greater the return. This leads to a monotonically increasing curve. This is why big tech companies have ladders: the job level generally goes up with years of service and experience.

Now it is different. Ladders have become meaningless, and past experience is irrelevant. Human value has shifted from being evaluated by “the quantity and quality of labor produced by the individual” to “whether one can improve AI’s capabilities.”
The equation now becomes: Human + AI > AI output.

[Dmitry Wooky @iwooky]

The easiest way to grind your account or channel to a million followers is to just start aggressively shitting on everything.

Rockets? Lol, trash, can’t even get off the pad. AI? Obvious scam, hallucinates every other sentence. Robots? Useless janky garbage with hands like wet noodles. Vaccines? Literally killing people, wake up sheeple. 5G? Obviously there to activate the vaccines. Government officials? Stealing, obviously. Entrepreneurs? Lying grifters. Investors? Braindead.

Honestly, this post already has enough content to farm 10,000 likes. It’s the lowest-effort slop imaginable, but it works, because people want feelings, preferably without having to think or burn any of their precious gamer calories, while still feeling like the smartest guy in the room. Like: “Yeah bro, I spent 30 years rotting on a couch playing warcraft, and I was right all along. Meanwhile their rocket exploded, absolute clowns. Should’ve queued mid instead, I would’ve carried.”

That’s why one of the rarest and most valuable traits in people in general, and content creators especially, is positivity. Optimism. Actually trying to build something instead of farming cheap dunks.

Because doing things is always harder than criticizing them. And the professional critic will never seriously try to build anything, because building means getting humbled every single day and admitting, over and over, that you were wrong.

[Spaceflight Now @SpaceflightNow]

Here's our video of the explosion at Launch Complex 36. It happened about 9 pm ET (0100 UTC) as Blue Origin was beginning a static fire test of its New Glenn rocket.

Watch live views: https://t.co/tm2wZQmAVD