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If anything, this confirms it for me. On his about page, there's this:

"Hi there, I am Loïc Baumann, I’m from Paris area, France I develop, since early 90s, first assembly, then C++ and nowadays mostly .net.

My area of interest are 3D programming, low-latency/highly-scalable/performant solutions and many other things."

Compare that style to what's in this most recent blog - mildly ungrammatical constructions typical of an ESL writer, straightforward and plain style vs breathless, feed-optimized "not x, but y", triplet/rule of three constructions, perfect native speaker grammar but an oddly hollow tone. Or look at this post from 2018: https://nockawa.github.io/microservice-or-not-microservice/ It's just radically different (at a concrete syntactic level, no emdashes). I'm sure he has technical chops and it's cool that he worked on DOTS, but I would bet a very large amount of money he wrote the bullet points describing this project and then prompted GPT 5.3 to expand them to a blog post to "save time".


I agree that this triggered my AI writing senses. Points in favor:

- "It’s not an accident — it’s driven by the same physics." The classic "it's not x, it's y", with an em-dash thrown in for good measure

- "Typhon brings these into the component storage model — not as bolted-on workarounds, but as first-class citizens." More "not x, but y", this time with a leading clause joined by an emdash

- "Blittable, unmanaged, fixed-size, stored contiguously per type — that’s the ECS side." Short, punchy list of examples, emdash'd to a stinger, again typical of LLM writing

- "Schema in code, not SQL. Components are C# structs with attributes, not DDL statements. Natural for game developers, unfamiliar territory for database administrators. If your team thinks in SQL, this is a paradigm shift." This whole mini-paragraph is the x/y style, combined with the triplet / rule-of-three, just at the sentence scale. And then of course, the stinger at the end.

Definitive, no, but it certainly has a particular flavor that reads as LLM output to me.


Points against: “Two Fields, One Problem” :)

This is hilarious. You think middle school students know about the Avignon papacy? They don't even know about the Ford presidency.

This was definitely covered in my middle school classes (although those were 40 years ago). Standard US public school. We spent a fair amount of time discussing the Antipope, it always sounded like such a cool job name.

We also read Genesis in English classes (from a literary perspective).


I think you are missing the key qualifier with a passing interest in history. I absolutely knew of the avignon papacy in middle school.

I have more than a passing interest in history and this is the first I heard of the Avignon Papacy, which I of course never heard of in middle school.

If you think training a sparse autoencoder to extract concept vectors that are usable as steering injections into a modern LLM is pretty easy, you should probably go work for Anthropic's mech interp team ;)

Have any ins? ;)

That sounds like pretty degenerate behavior. I typically have CAM toolpaths generate in seconds using Fusion or PrusaSlicer.

It's a very complex joint (which is why it's never been done before that I could find --- hopefully will be patentable), and the tool definition probably wasn't optimal, nor the CAM tool being used appropriate to the task, hence my working on developing the toolpaths more directly.

It certainly feels that way. Some tells:

"Precision, for LEGO, isn't an engineering choice, it's a brand promise." - The classic "It's not just x, it's y", just minus the "just".

"One philosophy optimizes for cost, the other for perfection." - Again we see the x/y structure; AI writing often features these forms, eg comparisons (x vs y), conversions (x into y), negated emphasis (not x, but y), etc.

"When you have multiple parts in an assembly, use statistical analysis for tolerance stack-up rather than worst-case math. Traceability matters. Track your defects so feedback turns precision into reliability." - More x/y followed by a short stinger ("Z matters"), and the closing sentence again follows the "x/y" pattern.

For funsies I tossed the whole thing into a purported AI detector and it said 90+% confidence of AI. I don't trust those types of things very much and suspect they have high false positive rates, but I have read that AI writing generally has measurably lower entropy, so maybe it's plausible, and in this case it aligns with my existing beliefs, so it obviously must be true.


"That level of traceability makes quality assurance more like a forensic investigation than a random inspection."

This was the tell for me.



"To order, to govern,

is to begin naming;

when names proliferate

it’s time to stop.

If you know when to stop

you’re in no danger."


— Dao De Jing (Tao Te Ching), chapter 32


Specifically the Ursula K. LeGuin translation :)


Fascinating interview - hearing two women of Chinese extraction working in the West candidly discuss their cultural origins and its effect of their mental state (dynamism vs scorn for weakness, the anxiety of stagnation), the specifics of Chinese worker culture (shamate, factory towns), and the inside view on "Belt & Road" in practice (empty sloganeering, lack of investment experience, etc) all really expanded my view of China. It's easy to get lost in the Western, pseudo-propagandized perception of China, and hearing the views of people who've truly seen both sides is a rare and valuable experience. Worth reading in its entirety, and I intend to watch the film now, too.


Probably tripping the politics detector and being auto-deranked.


Possibly, but curiously Dario's statement, and other (unrelated) political stories like https://news.ycombinator.com/item?id=47181391 and https://news.ycombinator.com/item?id=47181944 didn't trip it.

Yet at least 6 of these (counting only those with at least 15 votes) did.

The algorithm works in mysterious ways!

(edit: one did manage, at 55 upvotes: https://news.ycombinator.com/item?id=47186127 )


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