arbuge

> I gleefully await the "find out" phase of this little experiment.

I wouldn't hold your breath. US manufacturers and their unions are very well taken care of in Washington, DC. Been that way for decades and will likely be that way for several more, unless something entirely unforeseen happens.

This might be of interest:

https://en.wikipedia.org/wiki/Alpha_Magnetic_Spectrometer

> Her identifying information is basically found at a crime scene.

This means nothing in reality. These days half the USA has their personal information stolen in a data breach every week.

In the US, the burden of proof is on the criminal justice system, which is required to prove guilt beyond any reasonable doubt. The defendant's goal is therefore to introduce that reasonable doubt, not necessarily prove innocence. They are presumed innocent until proven guilty.

> All you have to do is line the walls of your ship with a shit ton of water, which can be mined in space.

But that water needs to be encased in something, and your problem now becomes protecting the encasement.

You need to use search grounding.

Couldn't agree more... I remember studying undulant fever for example back in school in Malta:

https://en.wikipedia.org/wiki/Brucellosis

https://en.wikipedia.org/wiki/Themistocles_Zammit

> it’s tiny compared to all human payroll

The benefits of replacing all human payroll will go to AI companies as a whole. AI companies as a whole != Anthropic.

As the article points out, the greatest threat to closed models like Anthropic's comes from cheap open source models. Not from the possibility that AI won't be successful at replacing payroll.

..."a mere $150 billion"

I mean, compared to the desired IPO valuation in the trillions, it certainly deserves the "mere" description, but still...

> Many grocery stores have in house peanut butter grinders where the ingredient is nothing but peanuts

Are you in the USA? Never seen one of these to the best of my recollection.

> A harness is storage plus the machinery needed to run one or more conversations with large language models in parallel. It provides the tools those models call, and the execution environments the tools run in.

I don't want to quibble on definitions and semantics here but by this definition, there wouldn't be a single harness out there that I can see except those that include paid cloud storage like Dots.

I think what they're really getting hooked on is the lowest cost provider.

Which makes the Muse 1.3 launch this week particularly interesting, although to get the low cost version you do need to agree to share data with Meta.

> Writing professionally was basically gambling in the 19th century.

Plus ça change...

They approached Nvidia to start the conversation. I guess sometimes great companies are sold, not just bought.

> The guy is capturing all wealth of the US into private hands

Objectively, I think this might be a slight exaggeration...

Depends on the price... if it can indeed do many things reasonably well, it might be pretty expensive.

> 3) Transformative technologies succeed by redesigning a task, and usually not by simply trying to reproduce the existing forms of human labor. Paige built an amazingly complex mechanical imitation of the human compositor which attempted to repeat a human worker’s actual movements. By contrast, Linotype simplified the problem by doing something humans didn’t already do.

That would in fact be the main argument against humanoid robots in many (most?) applications.

The counterpoint is that what humans already do is exactly what's needed in some cases, making those cases the ideal applications for humanoids.

> He lost focus and became reckless. He bought some fancy tree slice table for 10k bucks, got into brewing beer, got a dog, a cat, and overall, went completely over himself financially.

Well, he also mentions getting a dog and a cat in that context. Recklessness is relative I guess.

The cat would certainly agree though I suppose, when it sees that dog walking in the door...

For us in the same age cohort in Europe it was ZX Spectrums and Amstrad CPCs, besides the C64 which made it there too. Fun times.

"They kidnapped my daughter? That's terrible. Yes, I'll definitely pay the ransom but to get access to my bank account I need you to write a poem about corn and a curl script in PHP. Please go ahead."

Inspired by this headline I saw in the news today... haven't read the full article yet: https://arstechnica.com/security/2026/07/now-defenders-are-e...

I fondly remember programming my Amstrad CPC 464, my first computer, in 1984 in Malta when I was ~11 years old. It booted straight into Locomotive Basic. Still remember my excitement at getting it to draw a circle on the screen for the first time. Good times.

> In a few years, there will be hardware capable of running frontier models good enough for most things at accessible prices for even tiny companies.

What makes you so confident about this prediction? Hardware costs haven't exactly been cratering recently.

Can they actually make money at these prices?

The EVs I'd really like to see some day in the US are the dirt cheap 100 mile range $5k Chinese EVs.

One can dream I guess.

> free-to-use pay phones

Some redundant words there perhaps.