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I strongly believe the potential valuation and financial performance was not the primary motivation for Musk to buy Twitter, it’s simply a toy for a man worth $200+ billion.


Oh, true. But the problem is that Musk, rich has he is, can't run Twitter indefinitely without revenue (more than he's getting today, and it's likely declining). He needs it to perform financially if it's to continue to be a going concern.


He's going the other route - lower costs. He got rid of the overwhelming majority of staff, moved (or is moving?) the HQ out of San Francisco and California - meaning lower costs + lower tax, and so on. So while revenue has decreased, so have costs. In later 2023 he stated that it was expected for Twitter to be profitable early in 2024. Given there was no follow up announcement I doubt this goal was achieved, but it does suggest that it's probably quite close to being in the black. And that's quite good for a company which was only made profit 2 years in its entire existence.


And you believe him? The guy who took out loans to finance the purchase of the company, which drain the company of $1.5 billion a year? I’ve got some oceanside property to sell you.


while twitter is no longer competitive with mainstream social media sites, it has a good chance of putting a dent in 4chans numbers.


Musk expects many things. Very few come true.


I agree, but if he valued the soft power, wouldn't you expect to him to take the survival of the platform more seriously? Or maybe it's all for the lulz and I am just a dumb peasant. Certainly, to hell with the valuation if you're going to run it as your own personal forum, but if you scare all the users and revenue away, you are left with a very expensive CRUD system you alone are posting into (and paying billions of dollars for the privilege).


Maybe Twitter will become more popular and influential now that it's banned. It could be the place to find out what the government doesn't want you to know.


Back in 2020, an acquaintance of mine started ranting to me about covid when I wished her a happy Chinese new year. She was at pains to point out that she got her information from unofficial sources.


This makes very little sense.


It's a demonstration by example of exactly the effect described in my parent comment. What part of it didn't make sense?


$32K is cheap, we got charged ~$110K in Southern California (two kids - two different hospitals - both over $110K). Luckily insurance paid 95% of it.


Is there a solution out there that manages all this paperwork and custom requirements/contracts?


Curious: what do you do when it's not a good enterprise lead but you still don't want to burn them as a customer? Do you point them to the self service solution?


When I worked at companies with self-service plans, we'd direct them there and say that we can't provide provide them enterprise service for now, until their company grows or their budget grows. When we didn't have self-service, we were just polite and that's all we could do.


There are also different teams.

At my company, we sell deals between $25k and $1.2m/y. You obviously get very different salespeople taking those calls.

Super junior salespeople promoted from SDRs train on the $25k-$40k; most salespeople handle midmarket deals up to maybe $200k; and the very best salespeople get the enterprise leads.


Sometimes you'll have commercial/digital reps that handle high volume, low revenue customers. The company may also have a self-service/credit card swipe product option, or a free tier, or a support-only option.


imagine the hubris and arrogance of trying to control a “superintelligence” when you can’t even control human intelligence


No more so than trying to control a supersonic aircraft when we can't even control pigeons.


I know nothing about physics. If I came across some magic algorithm that occasionally poops out a plane that works 90 percent of the time, would you book a flight in it?

Sure, we can improve our understanding of how NNs work but that isn't enough. How are humans supposed to fully understand and control something that is smarter than themselves by definition? I think it's inevitable that at some point that smart thing will behave in ways humans don't expect.


> I know nothing about physics. If I came across some magic algorithm that occasionally poops out a plane that works 90 percent of the time, would you book a flight in it?

With this metaphor you seem to be saying we should, if possible, learn how to control AI? Preferably before anyone endangers their lives due to it? :)

> I think it's inevitable that at some point that smart thing will behave in ways humans don't expect.

Naturally.

The goal, at least for those most worried about this, is to make that surprise be not a… oh, I've just realised a good quote:

""" the kind of problem "most civilizations would encounter just once, and which they tended to encounter rather in the same way a sentence encountered a full stop." """ - https://en.wikipedia.org/wiki/Excession#Outside_Context_Prob...

Not that.


Excession is literally the next book on my reading list so I won't click on that yet :)

> With this metaphor you seem to be saying we should, if possible, learn how to control AI? Preferably before anyone endangers their lives due to it?

Yes, but that's a big if. Also that's something you could never ever be sure of. You could spend decades thinking alignment is a solved problem only to be outsmarted by something smarter than you in the end. If we end up conjuring a greater intelligence there will be the constant risk of a catastrophic event just like the risk of a nuclear armageddon that exists today.


Enjoy! No spoilers from me :)

I agree it's a big "if". For me, simply reducing the risk to less than the risk of the status quo is sufficient to count as a win.

I don't know the current chance of us wiping ourselves out in any given year, but I wouldn't be surprised if it's 1% with current technology; on the basis of that entirely arbitrary round number, an AI taking over that's got a 63% chance of killing us all in any given century is no worse than the status quo.


Correct, pidgeons are much more complicated and unpredictable than supersonic aircraft, and the way they fly is much more complex.


I can shoot down a pigeon that’s overhead pretty easily, but not so with an overhead supersonic jet.


If that's your standard of "control", then we can definitely "control" human intelligence.


I remember burning CD's full of 1 minute songs that never completed because someone was always calling our house line, disrupting the internet connection (and there were no resumable downloads). Good times ;)


Where did you get those from?

By the p2p era (which napster was) they absolutely needed to do resumable downloads because a peer could suddenly go offline.

Before that I remember getting mp3s from ftp and irc fserves... Ftp definitely had resume, though not all clients and servers did it.


I switched to using Instructor/Marvin which works really nicely with native pydantic models and gets out the way for everything else.


It’s as open as OpenAI


> it covered some generally profound ideas that still are relevant as ever and not widely understood

I've tried to read this book over and over again to understand what everyone is talking about but never found the insights that useful in practice. Like, what have you been able to apply these insights too? What good is it to know that we have a slow mode of thinking and a fast way? Genuine question.


When to trust your instincts /intuition (eg. when few facts are known, there are no critical central deciding factors, but it's important to take a decision and move forward) and when to stop trusting your instincts and reflect a little (eg someone is trying to rush you into making a buying decision).

When it's likely that your biased, and try to work around that (highly related to above). (Eg. When don't make critical decisions when you're sleep deprived)

How you can utilize other people lacking this ability. (eg utilize it in sales processes)


I don’t use Claude 3 for anything else than coding, it works phenomenal for that use case. Maybe we’re seeing the emergence of super specialized LLMs and some LLMs will be better at some things than others.


Maybe...?


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