Anyone who's watched a house go up has marveled at how quickly the framing goes up, then how long it takes everything else to get done.

Framing is about 1/l4 of the build time for a house. The *labor* for framing is less than 10% of the build cost. If the machine cost *nothing*, and framed the building *instantaneously*, those are hard limits on how much faster and cheaper the house building robot could make the process: about 25% faster with about a 10% cost reduction. But the machine wouldn't work instantaneously, nor would it be free.

There already is a better way of doing this. You prefabricate the house in units, ship them to the site, then bolt the units together. The modules could be completely finished at the factory. Savings over traditional construction would be substantial -- 40%. The problem is, can you build houses people want to buy and which local building codes will allow you to live in. If you throw out expectations that a house looks like a house a child would draw with crayons, you can build a really nice. So with prefab houses you either have things that look like mobile homes; or things that look like they were designed by a scandanavian architect. Houses that *look* like mid-range, hand-built homes are a tough nut to crack.

There was a movement among architects to use pre-fabricated construction to solve the problem of housing returning GIs after WW2. It didn't catch on as the kind of democratizing mass produced housing the movement envisioned because people wanted a house that looked hand-built. But if you can get over that, it produced some really great houses. One of the more famous examples (although not completely pre-fabricated) is the Eames House. There's a company from that period that's still in business, but they pre-fabricate million dollar luxury homes, not mass produced housing.

The obstacles to prefabricated houses are regulatory, which is why it can't reach the middle of the market. Anti-mobile home rule discourage really cheap pre-fabricated houses, but high end producers can afford to jump through the regulatory hoops. For mid-range houses, the regulatory burden outweighs the economic advantage of prefabrication. This could allow a framing robot to have a niche, although as I pointed out it won't save much money on the build cost.

FWIW, its IMDB rating is currently 7.6. A threshold that seems to work well for me is that anything under 7.0 isn't worth watching. YMMV.

THis is true. You also get a better understanding for AI's limitations, familiarity of where to be skeptical, and a feel for when a context is losing its mind. I like to put it this way: nobody who can't outthink an AI should be using an AI for anything important.

It wouldn't be news if you looked at their terms of service -- which you should. The ToS explicitly say they use a combination of automated systems, human review, and reports to identify and investigate violations of their usage terms, including violence, abuse, fraud, impersonation, disinformation, foreign influence campaigns , abusive sexual content, and academic dishonesty. This includes "anonymous" sessions that are saved for a minimum of 30 days. You have no expectation of privacy from the provider's compliance teams.

This is *absolutely* standard among the major online players. So why not use a local AI workstation with a couple of big-ass GPU cards in it to run the campaign? That's what they *should* have done. But the major online players like ChatGPT and Claude are much better at realistic content generation than the widely available local models you can run.

What they should have done is design and run the compaign on a local AI workstation, and used the local workstation to generate prompts they could feed into burner accounts on public services like ChatGPT and Claude. But they got lazy and ran the *whole* operation in ChatGPT, right in plain fiew of the OpenAI compliance teams the ToS they evidently didn't read would have told them were there. They even did *performance reviews* in the same account.

Remember folks, these "spooks" are just mid-level paper-pushers in an opaque communist bureacuracy. You can never discount inertia in such an environment. Because this was something new, they might even have had trouble getting the purchase of some high end GPUs approved.

I don't hate Trump. I pity him. No matter how much shit he slaps his name on, it won't fill the hole is daddy left in him. But people that damaged shouldn't be let anywhere near power.

Well, no. It's true you can't buy books for the purposes of scanning them *and then making them available online* (Hachette v. Internet Archive). Scanning them for AI training is not settled law in every Federal District, although in at least one that has been ruled transformative and therefore allowable (Bartz v Anthropic, Northern District of California).

Anthropic famously bought a lot of copyrighted books and scanned them to ingest into its model training corpus. Arguably they aren't violating copyright because what they are doing is *transformative* -- turning words into a statistical map of word associations.

But what China is doing by inferring the structure of that map doesn't touch on *any* kind of intellectual property of Anthropics. Sure, the map is a trade secret, but they've exposed that trade secret through their public interface. It's not human created so it's not copyrightable. Even if that map were patentable, which it probably isn't, it's not patented.

The worst you can say is that China is violating the service's terms of service, which may have no legal force there.

As a lifelong cyclist, I agree in principle. The problem is over the last seventy-five years we have rearchitected the very geographic fabric of society to make *solving* our transportation problems with bike and public transit impossible.

Before WW2, Dad would leave the apartment and walk or take a trolley to work (usually in the same city neighborhood) while Ma "kept house" -- managed cooking, clearning, childcare, and the family's community and social engagement. In the 1950s and 60s, instead of an apartment, it'd be a suburban house. Ma would drop Pa off at the kiss and ride.

Today Mom and Dad both have jobs they have to get to, usually in *different* suburban employment areas; they can locate to make the commute easy for one, but they keep changing jobs every couple of years while their long-term wealth is being put into a geographically fixed asset: their house. They are financially anchored to their house as their jobs move around the region.

Car-dependency is baked into the very fabric of society, in a way you can't fix with transportation policy or projects--not without decades of projects. But we have reached the limits of the car-dependency model; we can't fix traffic by adding marginal car capacity as has been repeatedly demonstrated by freeway projects that fail to fix traffic because we're in an equillibrium between commute times and job selection.

Transit and bike infrastructure won't fix this, but they *can* make marginal improvements in the traffic situation by taking cars off the road for the minority of people who can use these alternatives at this particular point in their lives. I think e-bikes are going to be key. I personally wouldn't consider a ten mile commute by bike on roads shared with cars a barrier to commuting by bike, but most people wouldn't attempt it. E-bikes on bike infrastructure can make a ten mile commute practical for *normal* people, and take a significant number of cars off congested roads. Public transit could help, but again in a marginal, opportunistic way. In Europe or the US Northeast where car-dependency was overlaid on existing dense urban fabrics, there's a lot of opportunity for major transit projects. But for American cities in the West which have *no* center of mass to build around, solving car-dependency is likely a Moon-shot level project.

You can already to that. Just select Feeds from the menu under the 3 horizontal lines.

Well, that's one hypothesis. However since they saw a significant difference in the population where the social media apps were removed, then if your hypothesis is true, the data would suggest that delivering the service as a native app rather than a web app must have some harmful effect in itself. An alternative hypothesis is that their application usage patterns changed when the apps were removed.

It's not altogether far fetched that web-delivered apps have a different psychological effect than native smartphone apps, because native smartphone apps have greater access to the system for tracking and notifications. Native apps also offer different features than their web versions. This is why I use Facebook via a browser, because the Facebook native app is insufferably intrusive, constantly trying to get your attention. It means, however, I can't use Facebook's chat function.

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Companies have published their online rules and data on content moderation. Those that are interested in participating in the project voluntarily hand over documents on policies, tools and product features.

Though I admit that doesn't make sense either. If they already published their stuff, why do they have to hand it over? Also, just because they have policies and procedures does't mean they either actually follow them or follow them in a timely manner.

Until recently, you could get the text of national weather service guidance by telnet. It was about the right level of protocol to provide plain text to a terminal with enough information to paginate it and enough input to pick an airport code.

Not everybody needs to know how to program, and those people who were being forced into taking a CS class were likely never going to be all that good at it.

Not everybody needs to know how to do either chemistry or physics either and yet we still require chemistry and physics classes.

Back in the 80's vendors promised companies a "paperless office", but cynics noted that the equipment sold always included printers.

Now we're looking at a promise of a post-human-labor era, delivered by armies of human drones performing mountains fo soul-crushing labor.

You can't just do this with any EV. The car itself has to have the "vehicle-to-load" capability that's not yet universal on all EVs.