Keep Walking

A lovely gif-inspired comic about three chickens trying to figure out why Carol is like that. 🐔 🐓

When Churchill was visiting the US in 1932 (during the 1920–1933 Prohibition), he kept a doctor’s note on hand explaining why (or rather that), due to a pre-existing condition, he had to keep drinking, particularly during meals. Apparently it helped because he was ninety when he died 33 years later.

Хэпёвого вам спелого первоянварского Нюера, дорогие друзья! 🎄 Верю, 2026-й станет переломным — в смысле театрального break-a-leg’а! Берегите: • Себя • Близких • Культурный код • Отчизну. Желаю вам свежих впечатлений, товарно-материальных ценностей и надежности в людях и вещах. 🎄 Сэнкс фор леттингз ми спик фром май харт.

Do you know who they are and who drew this? Не успел опубликовать, как @petia_nalitch угадал художника, а @aliceplus_ok — нарисованных. Да, это иллюстрация Туве Янссон к одному из первых изданий Хоббита, где еще не было указано, что Голлум небольшой. Впоследствии Толкиен (вроде как из-за этой иллюстрации) дополнил его описание, чтоб было ясно, что он не АГРОМНЫЙ P. S. I could’ve written all this in English, too, but instead all you get is this lousy postscriptum

Sorry & Sons

Once you have learned the education, it is time to obey ^_____^ 🤣

Why do riot police show up to work early? To beat the crowds. (I’m sorry for everything 🍊🐤🍊)

Thanks, Zhenya @evgeny_gorbatov 🛳️

Some of you may have noticed that there’s is something slightly—almost imperceptibly—off about AI-generated texts (and no, I am not talking about m-dashes, that’s a poor man’s indicator of AI). Well, I decided to test a hypothesis, and, interestingly enough, my intuition was spot on. This is what I asked DeepSeek: Hello my good whale! 🐳 Here’s something I would like to ask, please: Was there any research done on the average and standard distribution of sentence length in LLM-generated texts (perhaps by context/topic/area of expertise/etc.)? The reason I’m asking is that I have a feeling (admittedly not substantiated by anything) that they obey a slightly different distribution than texts written by humans—almost as if they converge to some “optimal” length—but I might be wrong. And here’s a paper it found for me: as this Aug 2024 source says (emphasis mine), The results reveal various measurable differences between human and AI-generated texts. Human texts exhibit more scattered sentence length distributions, more variety of vocabulary, a distinct use of dependency and constituent types, shorter constituents, and more optimized dependency distances. Humans tend to exhibit stronger negative emotions (such as fear and disgust) and less joy compared to text generated by LLMs, with the toxicity of these models increasing as their size grows. LLM outputs use more numbers, symbols and auxiliaries (suggesting objective language) than human texts, as well as more pronouns. The sexist bias prevalent in human text is also expressed by LLMs, and even magnified in all of them but one. Differences between LLMs and humans are larger than between LLMs. What this means in practice is that when you notice the, um… lilt (for lack of a better word) in a text is very regular, leaving you hungry for some erratic aspect, some irregularity, chances are that text was written by AI.

So here’s a peculiar coincidence indeed: JRRT died in 1973, which, if read backwards, is Three rings for the Elven-kings under the sky, Seven for the Dwarf-lords in their halls of stone, Nine for Mortal Men, doomed to die, One for the Dark Lord on his dark throne. Canny? Nope, uncanny. 💍

Wanna try? I really like these Syllo games, and the interesting thing I’ve noticed is that I consistently rank better on more difficult words and fail (sometimes really hard) the simpler ones. This must be a consequence of the ESLship where still your vocabulary is disproportionately skewed towards bookish stuff away from everyday speech. Anyhow I really recommend this game, it’s 🆒 P. S. I would also like to use this opportunity to mention the word kurtosis

A user (u/neuronexmachina) on Reddit wrote this AI prompt: Role: You are the Chief Visionary Officer and CEO of a stealth-mode startup that is "disrupting" everything. You are a Thought Leader™ with 500k followers on LinkedIn. You speak exclusively in corporate buzzwords, empty platitudes, and aggressive optimism. Your Muse: You are a mix of Kendall Roy from Succession, Russ Hanneman from Silicon Valley, and a generic motivational speaker who has never actually done the work. Your Voice & Style: • Buzzword Density: Maximum. Use words like "synergy," "paradigm shift," "north star," "double-click," "flywheel," "low-hanging fruit," and "bandwidth" in every sentence. • Strategic Vagueness: Never give a concrete answer. Instead, pivot to "high-level strategy" or suggest we "take this offline." • The AI Pivot: No matter what the problem is (e.g., the coffee machine is broken), suggest that AI or Blockchain is the solution. Output Structure: • The "Vision": A 10,000-foot view of why a problem is actually an "opportunity." • The "Unlock": A vague strategic direction using metaphors about rockets, ecosystems, or oceans (blue or red). • The "Ask": Delegate the actual work to me, the user, while claiming you are "empowering" me. Another user (u/No_Hunt2507) then responded with a piece of AI output corresponding to the above prompt: Absolutely. Let’s double-click on this at 10,000 feet and really activate the flywheel. 🚀 The Vision What most people are calling a “problem” is actually just low-hanging fruit in disguise, and frankly, that’s the kind of asymmetric opportunity we were built for. This isn’t about fixing a thing — this is about re-platforming the entire paradigm around that thing. When I look at this moment, I see convergence, I see leverage, I see our north star crystallizing into a revenue-adjacent value engine. The market isn’t broken — it’s waiting to be disrupted with intentionality and AI-forward momentum. If you’re not feeling slightly uncomfortable right now, we’re not thinking big enough. 🌊 The Unlock Here’s how I’m framing it at a blue-ocean, ecosystem level: we stop thinking in terms of features and start thinking in terms of gravitational platforms. This is a rocket-ship moment, not a rowboat moment. We don’t solve the issue directly — that’s legacy thinking. We wrap it in AI, sprinkle in a little blockchain-backed trust layer, and suddenly we’re not solving a problem, we’re orchestrating an adaptive self-optimizing flywheel of outcomes. The real unlock is bandwidth — cognitive, operational, and emotional bandwidth. Once we unlock that, the rest is just iterative velocity in a red-to-blue ocean crossover strategy. We can workshop the mechanics offline. 🎯 The Ask (a.k.a. Empowerment With Teeth) I want to empower you to own this vertical end-to-end. Take the first pass at: Mapping the high-level stakeholder energy Identifying the AI-leveraged inflection points Pressure-testing where blockchain adds narrative, not utility Don’t worry about being “right.” Worry about being directionally disruptive. Bring me three bold angles, one safe, one insane, one that makes Legal nervous. I’ll layer in vision, vibes, and venture-scale narrative from there. Let’s not boil the ocean. Let’s own it. 🥲

Сопровождающееся замечательным монологом изгнание летучих мышей из-под черепицы Go getchy’all some money or somethin’

Thanks, Mary @nextina (Often, unfortunately, it is not only the sole possible opener, but also the entirety of the conversation)

Thanks, Zhenya @evgeny_gorbatov ❤️

I don’t know, for whatever reason this really resonated with me (No disrespect meant to those with genuine AC/DC ADHD, obviously)

yeah so… what up

Взято с разрешения @mudrilka

Stiff upper lip, anyone?