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The supply chain thing was just an embarassing attempt at politicking by a laughably useless Hegseth.

My understanding is that Anthropic doesn't really have a lot of say in the matter of keeping their models out of government hands. The government can do pretty much anything they want with a domestic company in the name of national security. They might first choose to be polite about it with an open request and payment, then they might choose to infiltrate and extract by any means necessary (the NSA has a literal army of hackers on hand to point at the task) and Anthropic may not even know about it leaking, either way they do what they want and serve a national security letter to silence the event.

Ultimately they can just offer something Dario can't refuse. Every one of these "oops, our models are just so powerful our agents hacked something by mistake" PR fluff pieces is admission to federal crimes and they are leverage they're giving the government to exert control over them. Refusal means prison.


Local is becoming ever increasingly scarce and cost prohibitive. It's kind of bleak out there right now. A minimum bar to entry for decent local AI (something that can run a 27B tier model with some reasonable context) is going to set you back a year or five worth of AI API token costs.

That's true, but assumes that saving money is the only reason to go local (or that someone doesn't already have the hardware to do it – a Mac with 64gb can run most 27B models). By using a local LLM, you can guarantee that your data stays private; that your workflow always works for you and won't randomly change or stop working at the whims of an upstream provider; and that you can evolve your tools or swap in new models whenever you want, without some weird Effective Altruist culter in SF writing a dissertation on the model's supposed mood first.

It's not really an analogy, it's just facts of life. In a large enough company or over a long enough time period at a job or in your career, realistically people actually will eventually die and cause vacancies. I've had two coworkers die, one because of illness, the other because of an auto accident. I stopped using the "bus factor of one" phrase as a result even and use "redundancy or succession planning" since it's not outside the realm of possibility that someone might get hit by a vehicle.

Sure, but in one many more people leave the workforce by being killed and maimed than in the other.

"Lottery factor" works, though it's more of a mouthful

That, and nobody knows what you're talking about.

Just the first time

Because the author's proud ignorance sheds some light on the article's authenticity and validity of claims (or the complete lack thereof).

Proud ignorance? With such many references to support his point it looks pretty informed to me.

Did you chase those references? A core premise and complaint is entirely false.

This is an article and author that is tailored for AI curmudgeons or an AI rejectionist to self-assure themselves that their worldview is the only correct one. Facts seem to be a nuisance at best here for the author, and helpful phrases like "garbage", "vile", "human toll", "psychopaths" undermine all chances or credibility for a reasonable take or conversation.


Welcome to every Apple discussion for the last 25 years.

The right and left hemispheres do different things… unless you had a hemispherectomy as an infant and then one half is able to mostly perform the duties of both.

> hemispherectomy

TIL, gosh!


Saw on Discord that they have to change their name, since https://histre.com sent them a letter.

Background agents being spun up on your behalf with guidance and instructions you didn't get to approve or even see, and now you're potentially liable for every decision it makes with any tool at its disposal because you initiated it with what you thought was a benign request.

For OpenSCAD, AI models from about GPT4.5 onwards have been able to build and combine shape primitives pretty well, but that was never immensely useful.

Just last week I had Gemini 3.8 Flash and Antigravity take an existing STL of a part and swap out a piece of it with another design (fan shrouds on a computer case front plate). In the process it created exploded parts diagrams from the STL, created 2D renders from each axis (for its own visual re-ingestion, presumably, since I neither asked for or needed them), projected measurements, and then it implemented my design swap request. Which it didn't do with SCAD, it wrote a Python program and directly manipulated the STL geometries. It went perfectly. A week before that I had GLM 5.3 and Hermes take one model that was intended to fit into a part from another designer's part and change it; I didn't really like the interior part's design so I gave both STL files to Hermes and asked for a new interior part design that could be printed with vase mode to speed it up. It did and the new part is better than the human-designed part I grabbed off the internet.

I had another task mid week where I needed a case for something but didn't have the dimensions, so I just had Gemini do deep research lookup for dimensions and to then spit out a case STL for me. It was boring but functional and a good enough starting point for me to work with.

Right now my wife is enamored with a 3D printed purse design for halloween but the separately printed hinges are a weak design (a circular mortise and tenon rotating hinge). Working with Antigravity again, it's been able to take measurements, rotate parts in space on its own and create me a new object design that's better suited to be printed in TPU. It's held dimensional accuracy and even inferred some dimensions and spacing I didn't have out of the primary purse's shape. It's gone great. Next up will be having it combine all the parts into a single STL so I can do a multimaterial print in one shot, printing the purse in PETG but the living hinge in TPU without assembly needed.

I think "it's here, now" for home and hobbyist CAD needs for functional prints. It's not displacing a mechanical engineer's job yet, but this recent iteration is markedly better than the previous generation of models at spatial reasoning and 3D design because it's suddenly capable of it at all when even 4 months ago it was not.

In your other comment you mentioned "just learn CAD", and I have already, I could have cobbled together all of this myself in Fusion 360, but that would have taken far more time than a few minutes of prompting and walking away. I know enough domain lingo to describe the task well, and if it falls flat I will do it myself, but it's coming along faster than you seem willing to accept.


> I know enough domain lingo to describe the task well, and if it falls flat I will do it myself, but it's coming along faster than you seem willing to accept.

Could you do meaningful things without domain language you learned the long way?

I don't doubt it is coming along. But as with all of these things, this one is painted into a corner from the very start by using OpenSCAD.

And a mechanical engineer's job isn't just fiddling away in CAD, is it? If it was I would be on the way to being one by now, and I am not.


Is your question any different than how LLMs are impacting software engineers? A software engineer’s job isn’t just banging out lines of code either and you can’t effectively vibe code software without knowing how to describe what you want to build and having SWE domain language, and yet LLMs are having a massive impact on the industry and career.

I see no special barrier for mechanical engineering either. CAD can be represented in text. Statics and dynamics are already calculated in software, simulations are already ran in software. Specs for things are already formalized in both format and notation. All the pieces are there if you squint at it a little, they’re just not quite as easy as software tooling was, but it’s certainly closer than a surgeon’s or plumbers job.


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