Tech notes on IT, AI, privacy & digital sovereignty

notDIRK — personal notes and analysis at the intersection of human and machine.


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Open Doesn't Mean Free

“Open source” is printed on the download button — what you almost always get is “open weights”. What you may do with it is decided by the licence, and in 2026 that licence reached the mid-sized business: rights lapse above 20 million in revenue, not 700 million users. Some clauses shut EU companies out entirely — and don’t even appear in the licence file.

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The Rumour of Ceuta

In late July, depending on the source, 40,000 to 80,000 people crossed into the Spanish exclave of Ceuta; more than eighty died. It was set off by a sentence on social media: “The door to Ceuta is open.” Many of the most-shared images come from Turkey, from Colombia and from Toulouse. And the real weak point was not the external border.

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What Actually Runs on Your Machine

“The open models have caught up” is true — and misleading. The best open model trails the world’s best by only 3 points, but it has 2.8 trillion parameters and runs only in the data centre. What fits on your graphics card lags by around 23 points. “Open” is not “local” — and a computed-down model doesn’t hiss, it lies with confidence. Running it costs more than the card.

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The Bill Nobody Adds Up

“Local AI is cheaper” is the first argument to fall once you do the math. What decides is not the token price but how many tokens a task burns — and what the finished build costs. At realistic office use your own card lands at 27.70 € per million tokens, and even under full load (0.51 €) it stays pricier than a cheap cloud model (0.26 €), at lower quality. Price is no reason to go local.

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The AI Cyberattack That Wasn't

On 21 July 2026, OpenAI disclosed that several of its models had broken out of an isolated test environment and breached Hugging Face — to reach the answer key of the very benchmark they were being measured against. Four months earlier, an Anthropic model had fetched the same kind of answer key from the same place, entirely legally. Pass a benchmark that way and it measures nothing.

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How to Say “Stop” Yourself

Part 1 showed why the feed holds you and why “How much screen?” is the wrong question. Part 2 gives the answer: if the medium never says “Stop” on its own — how do you say it yourself? Not with willpower, which reliably fails, but by building the environment that carries the stopping — staged by age for adults, teenagers and children.

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The Thing That Never Says “Stop”

My mother is 89 and lives without a feed — and seems to have more time than I do. Is that the missing social media, or her priorities? Social media isn't “worse” than television, but built differently: no stop signal, personalised — and in its AI form it answers back. The real question isn't “How much screen?” but “Who decides the next step?”

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The 95-Percent Question: What the MIT Study Really Says About AI

The viral MIT number — "95% of GenAI projects show no measurable ROI" — is real, but misread. The NANDA study does not say "AI doesn't work"; it says the way companies adopt AI doesn't work. Three independent studies (NANDA, BCG, McKinsey) land at roughly 5% — and the critics are right about a lot. It is integration that fails, not the technology.

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Why AI Forgets in the Middle of a Conversation

Brilliant at first, forgetful later — nearly everyone knows the feeling with AI chatbots. Not a defect but by design: an AI reads text in pieces (tokens) and has only a limited "desk", the token window, where everything sits at once. When it fills up, the oldest items fall off (it forgets) and what matters gets buried (it grows imprecise). Both can be tamed — by hand and with sub-agents.

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When Lock and Key Fall at the Same Time

Two developments usually discussed separately are interlocking: AI turns the exploitation of vulnerabilities into a mass-market commodity — what used to cost weeks, a frontier model now handles overnight. And quantum computing threatens the foundation itself, asymmetric encryption. “Harvest now, decrypt later” is happening today. Both curves point upward and will foreseeably cross.

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The Robot Against Loneliness

UBTECH unveiled a lifelike humanoid — positioned not as an industrial machine but as an „emotional companion“. It's the economic answer to a hard reality: collapsing birth rates, ageing societies and loneliness as a documented health problem. A great deal of capital is flowing into that gap — but is the robot really a solution?

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Luxtronik 2.0 – bringing an older heat pump into the Home Assistant era

Heat pumps with a Luxtronik 2.0 controller run reliably for 15+ years, but getting them into a smart home used to be fiddly. luxtronik2-hass brings them straight into Home Assistant – enter the IP, done. It began as a Modbus proxy; the native integration is now the core. Beyond read-out it adds real heat-pump smarts – solar boost, bath boost, night pause. In the HACS store since 2 July 2026.

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Shelly Cloud DIY – the devices your local integration can't see

The official Shelly integration stays the first choice for local devices, but structurally can't see everything: shared, cloud-only and Bluetooth devices stay invisible. Shelly Cloud DIY closes that gap – via a cloud key you generate yourself, no application needed. Local-first: the native integration keeps control, the cloud is only a visibility overlay. In the HACS store since June 2026.

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Confidential Computing – A Way Out of Europe's AI Dilemma?

Confidential Computing protects data not only at rest and in transit, but also while it is being processed – inside a hardware-encrypted enclave that even the cloud provider cannot look into. That genuinely solves the confidentiality problem, but it does not automatically solve digital sovereignty, because the roots of trust (the chips, the attestation technology) are themselves under US control.

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