Not a news feed but a growing knowledge library: researched deep dives on crypto and AI - with sources, as-of dates and the risk right next to the thing instead of in the fine print. Every post keeps being updated and extended forever; the version history at the end of each post shows what changed. Coming back pays off.
A curated directory of the voices that actually explain AI: people to follow, the best podcasts, newsletters, the labs' own blogs and serious news - with real links, editorial, not paid.
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A curated directory of the voices that actually explain crypto: people to follow, the best podcasts, newsletters, news sites and data sources - with real links, editorial, not paid.
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I grew up in a Windows household and built my own gaming PCs. Today my whole studio runs on a MacBook - here's honestly why I switched, and where it's annoying. Not sponsored.
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I build this site, the shop and even this newsletter with an AI assistant that lives in the terminal. Ten tasks I've handed off to it - concrete, with examples, no magic.
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Bitcoin's inventor is still unknown - and holds one of the largest untouched fortunes in the world. What's documented, what's legend, and why I don't call anyone “Satoshi”: the timeline, the Patoshi stash, the clues, the candidates with their denials - with sources and the Dorian case as a warning.
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A growing timeline from curated GPT-3 text in 2020 to AI video with synced sound in 2026 - with the quiet science breakthroughs, the documented numbers, and my own math for why a photo shoot today is a prompt.
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Why my crypto merch store is already open while it's still being built, how it's built with AI - and where the line runs between transparent and misleading.
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AI detectors flag even the 1787 US Constitution as AI. What the false-positive rates actually measure, why it hits non-native speakers hardest - and what to do if one accuses you wrongly. With studies, court rulings and an as-of date.
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The per-second price everyone quotes is the smallest line item. What an AI clip really costs after the prompt - discard rate, upscaling, editing - plus which model for what, commercial rights and the German legal position. From actual production.
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Not a winner, but a decision by task: what the three can do right now, what they cost, what the benchmarks leave out - with an as-of date and sources you can check yourself.
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Type `ollama` today and you start a cloud model. What local AI really costs, which hardware runs which model, how big the capability gap honestly is - and why the purchase almost never pays for itself but can still be worth it. With the arithmetic and sources.
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The whole crypto market on one map: four layers, seventeen sectors - each with what it does, who actually pays whom, how it fails, and how you can check it yourself. One as-of date, sources throughout, and one uncomfortable summary: the market does not earn its money where the story is being told.
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Eleven fields of application, one as-of date: what crypto is documentably used for in 2026 - stablecoin payments, tokenized treasuries, wireless networks built from living rooms - and what failed just as documentably, from play-to-earn to corporate blockchains. With sources, the counter-ledger, and the question every project should face first: does this even need a blockchain?
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Chains, launchpads, Telegram bots, wallets, screeners - the complete infrastructure of the meme casino, mapped with the risk right next to it. Plus the machinery newcomers don't see, the scene's strategies with their documented failure modes, and the influencer economy with the court-solid cases. A map, not an invitation.
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Lines on charts can't see the future - and yet they often work. The resolution is better than any spell: it's because everyone is watching. What the research actually says, why the loop is tighter in crypto, and which part of TA holds up without any magic at all.
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What leverage actually is, where liquidation sits, and why the math behind it is harder than it feels - explained simply enough for anyone, and honestly enough that nobody leaves wanting to try it. Education, not investment advice.
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Almost a hundred terms from market order to MEV, from RSI to rekt - explained briefly, with the conventions behind them and the spots where half-knowledge circulates. A growing index, extended over time. Education, not investment advice.
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Four completed Bitcoin bear markets, each with dates, depth and duration - and the current one next to them, honestly marked as open. No pep talks, no forecasts: just what verifiably happened, and why four data points prove less than you'd like them to in a drawdown.
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The most honest device in the entire space: it earns nothing, mines nothing, votes on nothing. Why I still think a node of your own is the most consistent piece of sovereignty there is - with real costs, real pitfalls, and no romance.
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The space sorts itself into sea creatures: shrimp, crab, fish, whale. What's behind the taxonomy, what on-chain data actually shows - and why almost every concentration statistic you've seen takes a wrong turn at the same spot.
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285 bytes, one transaction, one newspaper headline for eternity: block 0, read piece by piece. What's verifiable, what's legend - and why nobody can spend the 50 bitcoin inside it.
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In summer 2026 I researched what crypto projects had actually built while their prices sat 80–99% below their highs. The result is a report, not a recommendation: what's verifiable, what argues against it, and the uncomfortable question of whether the thesis holds at all.
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The honest way into crypto: understand it, get a wallet, pick an exchange, your first coin, store it safely. No hype, with the risk always next to it. Education, not investment advice.
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The crypto market at a glance: 49 platforms - exchanges, decentralized exchanges, wallets, cards, Asia, the niche - plus the coins and verified leverage figures. With the risk next to the thing, not in the fine print. Education, not investment advice.
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137 AI tools, sorted by what you want to do: images, video, music, editing, writing, building. With filters for free, no sign-up, commercial use - and my pick for each task.
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A messenger that belongs to you: encryption at the flip of a switch, data in Germany, AI in every chat - and wallets only you control. I'm building it. Here's how far I've got.
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After a good ten years behind the camera: the ten works I'm most into - and in one sentence, why.
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How a YouTube kid, an actor, a computer scientist and quite a detour slowly turn into a throughline - and why this site exists.
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