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Comment Re:"We're not really looking for what's true," (Score 2) 60

Almost nothing on Wikipedia is true, but all of it is "verifiable" in that there's at least one published source making the claim. Even if 99.9% of all other sources say the opposite.

(The Haka is not, for example, a war chant. Which is attested to, but because it's claimed to be online, it is "verifiable".)

Comment Wikipedia has a vast number of errors. (Score 1) 60

The number of errors is huge, the number of "official editors" who know anything about the subject is extremely small, and this has always been the case. This is why nobody reputable cites Wikipedia. Wikipedia is where you go to find out what is potentially interesting, but you ALWAYS obtain the facts from elsewhere, if you've any sense.

Comment Coding interviews are a waste. (Score 1) 152

Your best engineers will be AuDHD, and AuDHD folk don't do well in these sorts of synthetic tests.

I can code in 20+ languages for over 12 different OS', write code that's good enough for CERN to run for particle accelerator data collection for a decade, have accelerated systems by an order of magnitude by understanding the poem space better than their previous engineers, but I am abysmal at exam style settings.

The software industry is riddled with SEs who write abysmal code but can pass a coding test easily. They're the folk that you have always needed to reject but didn't because they ticked a box.

Comment Almost all of my code (Score 1) 176

If you ask a bare LLM to do stuff you'll get a mess. I run Claude code with a multipart harness that compels the model to treat the code as the mathematical thing it is, not human prose. LSP Enforcement Kit keeps low capability tools like grep out of the mix, Abstract Syntax Tree things handle the code as its meant to be understood, so that's CodeSight, OptiVault, Serena. About a year ago I gave Antigravity the boot after their awful 2.0 release and went back to JetBrains IDEs, which now offer code structure wise MCP services. Code review with the Ponytail skill chases away LLM excesses, and there's a smattering of other stuff like that in the mix. And then you hunt for whatever additional guardrails you can get the LLM to apply systemically.

I've evolved my own higher level project methods and they're comparable in a lot of ways to what Matt Pocock offers, but his stuff is more structured, more carefully considered, and I have to work with others now, after a long time solo. I'm taking his stuff, implementing a Kanban/wiki system, Gitlab CE, and NanoClaw for anyone who wants agents. I expect quite the slog between now and New Years, but in 2027 we're gonna stop trudging and start gliding over the landscape.

Comment It takes me longer to read bot-generated code (Score 1) 176

than to write my own code most of the time, so no. I usually use it for small helper functions that can be checked at a glance and boilerplate which I mostly trust to get right without a ton of checking, but otherwise I don't see the value everyone else is seeing. It might be a years-of-experience thing, or it might be nobody using botcode actually understands their codebases, I'm not sure which is more likely.

Comment Re: Lazy owners. (Score 4, Informative) 132

I fly 200ish flights a year so figure 70-80 nights away.

2025 was 100% hotels but 2019 was about 80% Airbnbs.

Airbnb will never get my business back. Ever. The professional scammer hosts are so good at finding a way to nail me for a fee. Iâ(TM)ve taken perfect check out video and still had to spend hours fighting fees.

Comment This has been around a while (Score 4, Interesting) 144

The DOD/DOW have been working on this for a while. They discovered, early on, that the device had a propensity to cause permanent nerve damage.

It's very unlikely the US have fixed that, as they'd largely sidelined the work as a failure. However, at 36%, Trump needs something he can call a win, no matter what the long-term consequences.

Submission + - Regulating AI Like Aviation or Nuclear Weapons (yoshuabengio.org)

puzzled writes: Yoshua Bengio, the founder of LawZero, "a nonprofit startup developing technical solutions for highly-capable, safe-by-design AI systems", recently addressed the U.N. Security Council. The AI companies themselves are positioning their work as a potential existential threat, and Bengio argues that they should be subject to a similarly strict level of regulation. The Nuclear Regulatory Commission would not even issue General Electric a permit to build a breeder reactor in 21st century America, but Anthropic and OpenAI's creations are running wild.

We had the wisdom to stop atmospheric nuclear testing after the 1954 Castle Bravo incident, but that took until 1963, and we have incrementally reduced total nuclear weapons since 1991 via the START treaty and its successors. AI is moving at internet speed; we need results here in months or quarters, not years to decades.

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