antonvs

I found the same as you: https://news.ycombinator.com/item?id=50428664

I wonder if the term might have been influenced by Terry Bisson's excellent short story "They're Made Out of Meat"[1], which was published in Omni Magazine in 1991.

Bisson himself credited the idea to the poet Allan Ginsberg[2]:

> “I was thinking about an interview I had read or heard that Allen Ginsberg was doing with some journalist,” he stated, “and he was talking about poetry and the guy was saying that it was like they were two poets talking or something like that and Ginsberg says, ‘No, we’re just meat talking to meat.’ And somehow that got stuck in my head.”

The earliest known online usage of "meatspace" seems to be two years later, in 1993. Then in 1995, it was apparently used in the Seattle Times[3].

[1] Full text: https://web.mit.edu/people/dpolicar/writing/prose/text/think...

[2] https://thewritingpost.com/2025/01/13/a-look-at-theyre-made-...

[3] Some citations: http://www.wordspy.com/words/meatspace.asp

Barney the Dinosaur, on the other hand...

> Like imagine LinkedIn but for everything

After reading this I think I'll read a Steven King book, which will be less horrifying.

Curious to know what you think the reason is exactly. Nuclear weapons? Economic imperialism? Ruthlessness?

You don’t have to “vibe code” anything to get enormous benefits from AI.

That was probably just Musk’s alt account.

They had to rename it to “MI-5” for the US market. The word doesn’t have the same connotations in the US as it does in the UK. One reason is that it was used as a racial slur in WWII and after the war.

How would personal trouble in Huang’s life hurt Trump? Compared to all the other things that Trump has done to hurt himself, culminating in the midterm results?

And China, really? What dissent is this going to cause? As for disruption, Nvidia essentially has a monopoly on what they do. Who the person in charge is, or what he’s doing, barely matters at this point.

> watch any TV mini series for example after example.

You might have been watching too many of those.

No company will be able to get away with offering a completely unconstrained commercial model. The legal risk and pushback from governments is too high.

The Altair 8800 was released in December 1974, so the definition of “personal computer” would have to exclude that somehow.

Too late, I've already vibecoded a startup that uses this. It's basically Uber for furries. Valuation is $2bn.

Real research at most big companies is dead. Unfortunately, what has replaced it is mostly venture-backed startups, where the timeline to a return is still expected to be quite short.

As a result, you end up with companies doing basic research under the guise of developing a product, announcing timelines which are never going to be met. Fusion energy and quantum computing startups are some of the most egregious examples of this.

In that time, the Earth has travelled about 14 billion kilometers, or for the Americans, 126.7 billion football fields.

Yeah, the launch was nearly 15 years ago (Feb 2012) - more than 1/7th of a century. It’d be in 9th or 10th grade by now.

Amplifying the dystopia is that this feature was heavily written up by an AI. So we have a feature in which machines monitor our lives being described to us by another machine which comes with its own set of dystopian risks, and no genuine human to human interaction.

Evidence sample of native Claudish: “The identity group is the tidy story: same surname, same home address, an iCloud Family flag — and it is the small half.”

> post-hoc conflict resolution process for memory (which is part of the theorized purpose of dreaming in the human brain)

That’s not accurate. One leading hypothesis is that the experience of dreaming is a side effect of memory processing and consolidation[1]. Using the name of a side effect to describe the process that produces it is misleading, and at best it goes well beyond what’s actually known.

[Edit: and the side effect in question, dreaming, is closely tied to consciousness in humans. Using an “analogy” with those connotations is an unfortunate mistake.]

[1] “The process of memory reactivation and consolidation in the sleeping brain appears to influence conscious experience during sleep, contributing to dream content recalled on awakening.” — https://pmc.ncbi.nlm.nih.gov/articles/PMC4704085/

It is incredibly unscientific. Superstitious, in fact.

I wouldn’t be particularly surprised if Anthropic were to reconstitute itself as a religion.

No, they don’t want to create a target list for attackers. “Duh.”

You're citing Jordan Peterson as evidence of something?

Who's next, Alex Jones?

For comedians, perhaps. But there are plenty of humans who aren’t very good at comedy.

In these LLM comparisons, people tend to compare them to the best humans, not average or below average. It’s a kind of motivated reasoning, with the goal of deprecating the abilities of LLMs.

I wonder how much different that is from humans, even professional comedians. You don't usually get to see all the jokes that comedians try that don't work, unless you're an avid attendee at comedy clubs.

Known as the Gell-Mann Amnesia Effect.

That's true for personal accounts. Monzo business accounts can be managed through their website (with authentication via mobile device).

The USA read that quote and said to itself, finally, an ideological system we can get behind!

What it boils down to is that governments tend to prefer that the tools people have available to them are limited in capability.

iPhones and Apple systems in general are the most locked-down phones on the mainstream market, so very government-friendly in that sense.

It's why I'm always slightly disappointed to see developers using Apple systems. They're a far cry from the systems that Steve Wozniak originally built.

There was a variation of this with Scheme: the standard language was small, so each implementation extended it in different directions, and there was plenty of disagreement about which directions were good or bad.

Why do you think we didn’t find these 948 vulnerabilities before now?

This is an old idea, dating back to at least the 1940s. Many experiments have already been done in microgravity environments.

In the 1960s, they used sounding rockets to do experiments on how molten metals solidify in microgravity, with manufacturing applications in mind.

In the 1970s, they ran experiments, also on sounding rockets, on melting and solidifying materials without letting them touch a container: https://ntrs.nasa.gov/citations/19840059952

More recently, many microgravity experiments have been performed on the International Space Station. Experiments were done on protein crystal growth aboard the ISS in 2000, just a couple of years after it was launched. (I think it took some time to get the experimental facilities up and running.)

Here’s an assortment of links on the subject, starting with a good overview:

https://www.nasa.gov/missions/station/applications-within-re...

https://issnationallab.org/research-and-science/space-resear...

https://www.nasa.gov/missions/station/the-benefits-of-microg...

https://ntrs.nasa.gov/citations/20200001550

https://ntrs.nasa.gov/citations/20150023126

https://asmedigitalcollection.asme.org/manufacturingscience/...

Yeah, all my own use of XSLT was in back-end pipelines. But I don't miss it. It suffers from the same problem as many such systems - great if what you're doing is directly supported by the tool, terrible if you need to go beyond that.