Dell is at a sweet spot for many organizations where you can get hardware support from dell, or not.
You can (with dell) just buy used junk and use that, and you can still access their support library for firmware updates.
I did a lot of work with storage with dell stuff and I found it far simpler to "outsource" the storage integration to dell than to do it myself -- they make sure that all "2tb disks" are the same (exact!) size, they all use the same mechanism for firmware updates, etc.
A much larger org could have saved some money doing that integration and testing internally; a much smaller organization could save money just buying stuff from wherever and not worrying.
I personally haven't used dell support in over a decade, but I have found that their "look up the serial number" web site has been invaluable; I've found the fact that they publish firmware for all their stuff and let anyone install it valuable; the huge secondary market for dell is helpful, etc. And, if you care, you can even give them more money to directly support you, instead of just doing it yourself.
HPE, on the other hand, locks their stuff down super hard; I assume there are reasons to go with HPE, but I'd rather get clocked on my superdome with an HPUXy stick than ever touch that stuff again.
>I personally haven't used dell support in over a decade,
We used to buy the top-tier support plans for our laptops and servers, and we found they just consistently could NOT meet their obligations. Laptops stayed broken and nonfunctional for weeks and weeks.
I was fortunate enough to work with a fair bit of sun gear (3/260, 4/670, enterprise 250/450 and even some big iron 6500s) back in the day.
These days, I've got several Dell 5820 style workstations and I'm pretty sure someone who interned at sun in the 1990s is now running dell's workstation division. The medium sized dell deskside towers have nearly identical vibes as those old workstations, and are a pleasure to work with.
People used to joke that EMACS was an acronym for "Eight Megs and Constantly Swapping", just to give you an idea of how constrained memory was in those days.
Even the computers we think about as the first "PCs", the IBM 5150, shipped with 16 or 64kb of main memory. They were much closer to machines like the Apple II or the Commodore 64 than most people realize.
I did systems administration for a university math department for several years. I came to the conclusion that mathematics (and perhaps philosophy) were both topics where it was likely that no staff members in that department could describe "what goes on here" and that possibly even within the department, one professor may not be able to describe what another professor's actually doing.
The closest I could come to describing math is "some abstract process where imagined structures are characterized and extended; the most critical part of the process is identifying where seemingly independent structures are found to actually be fungible in some previously undiscovered way".
A simple example is
"hey, did you know that x^i is the unit circle?"
"what's i?"
"i is defined as if you square it the result is -1"
"what does that have to do with circles?"
> Mathematicians can also consider wholly redirecting their skill sets to work on real world problems. I’ve actually been encouraging mathematicians to consider thinking about working on government or other large-scale societal issues.
The fact that this is a radical departure from the norm is part of why mathematics (and philosophy) is often seen as some intangible or ungrokable science to many outsiders, as they're generally approaching it from a perspective of "Okay, but why, what is this useful for?", and the answer "For the science of it" doesn't tend to land with people that aren't already passionate about said science/discipline and are just trying to figure out what it even is or involves.
Doesn't help that there is a pervasive sentiment in American Academia (not sure about elsewhere) about Math being *the* hard science, and I mean hard as in difficulty, so a lot of people get intimidated by it before they ever give it a chance very early on in their academic life and carry that through the rest of their education.
So there ends up being a rather small pool of people that are in(to) the field, and rather high friction for stimualting interest in it from outsiders from the way that it's taught, and a massive difference in the perspective of it's use between it's diaspora and the unmathed masses.
Mathematicians who do work on "real world" problems are mostly doing so with theoretical physicists, genomicists, and cryptographers. None of these count as what people consider valuable other than because they are hard.
That said, few 50 (or even 40) years ago would have predicted that completely abstract number theoretical computations about primes, discrete logarithms, and elliptic curves would be the foundation of our monetary system.
> I did systems administration for a university math department for several years. I came to the conclusion that mathematics (and perhaps philosophy) were both topics where it was likely that no staff members in that department could describe "what goes on here" and that possibly even within the department, one professor may not be able to describe what another professor's actually doing.
And this is indeed why it is not going to be taken seriously as an academic or (more importantly) an economic endeavour done by humans anymore.
That won't stop the career mathematicians from protesting and having a cry here trying to justify themselves.
And also when deleting a file that's on NFS, but it's reference count is non-zero in the kernel (because at least one process has it open) you end up renaming not deleting the file.
I'd guess that any of these media is sketchy for long-term archival storage.
I've got probably 30 5.25 floppies in my house, and I have a 5.25 drive and an old motherboard that can probably recognize that drive, and I've got the cables to connect the drive to the motherboad (and power supply). I'd guess that there's maybe a 20% chance that, if I spent a week trying to mash it all together I'd be able to get some data off of some of these floppies.
On other magnetic media the chances are between "haha, no" (oh, you've got an old 8 inch 10mb Bernoulli disk?) to 5% (oh, a QIC150 tape).
On the other hand, if I found a stack of moldy greenbar printout of some data, I'd say that most of the data can likely be recovered, and likely for not a tremendous amount of money.
Get a Greaseweazle and that floppy drive will work on any modern computer (macOS, Windows, Linux). I've been backing up floppies from a disorganized retro PC collection I bought, and almost all of them still work.
Zitron's claim is that much of that boost in profit for microsoft and alphabet and amazon is from only a few customers, specifically openAI and anthropic, and that those companies are buying and promising to buy lots of resources with money from investments from those same companies, and that largely this is unsustainable unless openai and anthropic can find a profitable business model.
And with both OpenAi and Anthropic are announcing record revenue growth to the point where Anthropic is now profitable this seems like it's going to work out fine for them.
He is right about that. Those companies are subsidizing the use of their models and at some point they are going to have to make a profit. It is unsustainable the direction they are currently headed in many people don’t like the messenger of bad news, but someone’s gonna be caught holding the bag stay clear of the blast crater.
I have watched many of his screeds; I think he undercuts his thesis with excess bile.
His core observation is that the unit economics of openAI and anthropic don't actually yield enough profit to pay off the huge debts that these two companies have incurred, and that as a result all the debt they've taken on will have to be written off which will trigger "the hyperscalers" to themselves suffer huge losses (likely wounding google and microsoft and destroying oracle).
He is rather more negative about the utility of LLMs than lots of other people (myself included); but his overall view of
1. they're not completely trustworthy
2. they're really expensive to train
3. it isn't obvious that anyone's willing to pay the full freight for the resulting product
4. lots of large orgs "that should know better" have gone far down the LLM "AI" road because they're looking for "the next big thing" when they should be pivoting to "mature, stable" companies instead of "hypergrowth" companies.
5. there's lots of debt and obligations and no obvious way for all of it to be paid off from revenues from openai / anthropic.
seems pretty reasonable. There seem to have been lots of bets placed on the hope that this stuff will continue scaling as it has in the past, if it is given more compute and data, and that bet is one that has yet to have demonstrated itself as correct.
Elsewhere, people have pointed out that many of the "FAANG" companies have shed lots of people and driven lots of profits, largely on the back of internal use of LLM tools. That doesn't necessarily contradict the skepticism that anthropic and openAI will succeed, and given all their obligations, if they fail it'll be a big mess.
But again, big Z doesn't do himself any favors when he rants about "failsons" or whatever.
Seems to me it's a reasonable position that runs face first into the irrational market.
Like they're digging a gigantic hole and Ed's up the top saying if you keep digging the hole will collapse (+ a whole lot of unnecessary swearing), and then a bunch of people jump into the hole to brace it and say "nuh uh, see we can keep digging" but really it's just postponing the inevitable and increasing the number of people who will be destroyed when it all crashes down
Dell is at a sweet spot for many organizations where you can get hardware support from dell, or not.
You can (with dell) just buy used junk and use that, and you can still access their support library for firmware updates.
I did a lot of work with storage with dell stuff and I found it far simpler to "outsource" the storage integration to dell than to do it myself -- they make sure that all "2tb disks" are the same (exact!) size, they all use the same mechanism for firmware updates, etc.
A much larger org could have saved some money doing that integration and testing internally; a much smaller organization could save money just buying stuff from wherever and not worrying.
I personally haven't used dell support in over a decade, but I have found that their "look up the serial number" web site has been invaluable; I've found the fact that they publish firmware for all their stuff and let anyone install it valuable; the huge secondary market for dell is helpful, etc. And, if you care, you can even give them more money to directly support you, instead of just doing it yourself.
HPE, on the other hand, locks their stuff down super hard; I assume there are reasons to go with HPE, but I'd rather get clocked on my superdome with an HPUXy stick than ever touch that stuff again.
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