The academic consensus is that there is a housing shortage, not a surplus. Perhaps there is a local surplus in undesirable areas, but that isn’t true in cities or nationally.
Austin and Texas in general have less housing restrictions than other places wrt zoning and regulation, so they could plausibly have a surplus. You can only really speak locally about any of this because location determines the market
> ... the entire project is optimised to fleece as much money from the US taxpayer as possible, and as such, that is all it will ever do.
But it is already failing now, Musk has apparently many years to live, so how could he hope to escape accountability? OTOH, if the locus of the fleecing is actually a cabal of highly-paid but unknown managers within SpaceX, they would have reason to keep the cash flowing as long as possible.
I see no reason to think it was a scam. I think he believed it, but what works with Kerbals doesn't work on Earth. We already saw he wasn't listening to reason when he launched the first one without a water deluge.
This is only when no other effects/processes are accounted for. If every participant keeps their current funds in an account with the same interest rate, then the distribution permanently skews so that there is no longer bobbing. The rich stay rich. See this more detailed simulation linked in another comment: https://joshworth.com/jpw/does-this-simulation-explain-why-l...
I browsed the GitHub and website for a bit, but didn’t see any examples! It would be useful to share the output for a common question that can be substantiated with reliable sources, like “Is coffee good for me?”. Even better if you can show a comparison to other deep research tools. From the copy it seems like Cleverbee could pull from more diverse sources (e.g. YouTube) and fewer unreliable sources (e.g. product blogs). Show that off!
Good spot! I already am on the case with that one.
The Rush University website takes a long time to load (check it out), and the script recognized the article had loaded but something on the website was causing it to hang (waiting for networkidle status) so it terminated the parsing early and worked with the content it had.
So in a nutshell, it still parsed but with a warning/error that this happened.
I'm optimizing this now to exclude the wording from the report, or make a note.
If it hits a timeout but the content is still there, it will now return the content (without the error message) to ensure something small like this doesn't get synthesized.
That's the thing about sytnthesizing and I feel one of the strengths of this system, is the LLM doesn't put too much of it's own "creativity" (which usually comes with hallucination) on to the top of the findings!
I'm actually working on "The Beehive" at the moment, where the app can push the research to a hive on the website, so people can share their research/discoveries.
My client's paid work takes priority, but I hope to do it over the course of this week.
P.s. Running report now for you, "Is coffee good for me?" to show you this example ;)
His paper is #55, “Some upsetting things about shapes”, found on page 342. Its header and contents are not searchable, presumably due to his use of his bespoke typesetting program from a previous SIGBOVIK year. It’s a great read!
Oh, wow, I'm surprised that I keep getting surprised at how undiscoverable ios functionality is. I still can't get over being flabbergasted about a decade ago at how the only way to switch their calculator app to scientific mode is by rotating the phone to landscape mode.
I know that Instagram has this silly feature of "shake to show a 'report a bug' prompt" - I know it because it occasionally turns on for no apparent reason.
It's even less discoverable than any undocumented gesture out there. Percussive maintenance is a joke, and the only people who actually shake something in anger are fictional characters in movies and animation, because that's done for comedic effect. And maybe people with serious anger management issues. Neither connotation make this gesture a sensible choice.
https://www.brookings.edu/articles/make-it-count-measuring-o...