Even if all of the PERM postings to be considered "ghost", it is just 120K postings per year. And PERM postings are usually promptly removed, not just hanging there like typical ghost job postings.
8,588 karma · joined February 14, 2014
is it me or their example photo doesn't look even like 1 high-resolution camera (and very noisy at that, looks like a pretty high ISO setting). Their example looks similar and i'd say a bit worse than what my Fuji camera did 25 years ago in the dark after i'd adjust dynamic range of the image in GIMP. (and the cameras on the Waymo cars i see around have about the same lens size as my Fuji)
If it is really a showcase of their visual pipeline than it makes sense that they are still so reliant on lidar - which is pretty expensive because of the number of rays you have to support to maintain good situation-awareness and which is still hard and expensive to scale to get good resolution. That also means that their tech can't really be put onto other platforms like drones for example.
The shock Soviet people were getting from Western supermarkets and department stores, etc. was a significant stimulus for the "rethinking" :)
Wrt. the memory efficiency - considering that AI is going to be the main workload by far and thus will vacuum in majority of the available optimization resources - be it humans or coding AI - i think it will be even less chances that any meaningful resources will be spent on optimizing on the fringe, ie. the users' OS/browser/etc.
exactly. it is just $4K/person. Whereis current US national debt is $120K/person.
i think fixing the plumbing there may be a treatment for a bunch of issues given that for example the whole volume of the cerebrospinal fluid is normally refreshed 3-4 times a day (imagine changing oil in your car engine 3-4 times a day :) - i.e. any hiccup in the plumbing (even a temporarily one and even in the healthy people like a bad sleeping position) and you already may get headache, etc. One can imagine that any chronic performance degradation of the plumbing may lead to a bunch of issues (similar to say what happens in any other organ/limb when blood or lymphatic flow is degraded)
Specifically for Alzheimer's - we do know about direct importance of that plumbing system here - poor sleep is well correlated with Alzheimer's as during deep slow-wave sleep, the brain's glymphatic system actively washes away metabolic waste and toxic proteins, including Alzheimer-related plaques while chronic sleep deprivation increases the buildup of toxic brain proteins like amyloid-beta and tau.
That Alzheimer's surgery brings up another very important and pretty fascinating aspect - not only the Alzheier's may be not permanently damaging the brain, we may speculate that various things we observe as age related brain degradation may be not actual brain cells/core degradation and instead similarly fixable issues of just some utilitarian subsystems.
I personally welcome such spiraling offense-defense cycles as it is one of the main drivers of the technological progress.
I'm all for the datacenters, the more the better, it is the great race of acceleration of our civilization. Yet, it is pretty clear, and with history being the witness, that the tech-bros and MBAs will build it without any regard for the well-being of impacted communities. Thus we have the game of what communities will [be forced to] take a one for the team.
And this is why space base datacenters will be a thing :)
“Project Panama is our effort to destructively scan all the books in the world,” an internal planning document said. “We don’t want it to be known that we are working on this.” ..."
https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQqEY5M...
some get very creative https://kvartira.mirtesen.ru/blog/43698892000/15-sumasshedsh... , https://masterok.livejournal.com/7601098.html?
Anyway, that demonstrates another way of datacenters getting modularized. The point is that the actual volume of datacenters to be produced calls for the mass production assembly line style. The one-off custom built approach becomes unsustainable.
In such a module-based construction you can optimize layout and the fabrication sequence so that the labor is minimized and simplified - like for example you'd be simply laying down wire instead of running it.
Thus the modules can be fabricated where the labor is cheap and plentiful and with high degree of robots usage while only final assembly would require high cost labor at the target location.
For an exec to talk about therapy - that is allowed only to the top dogs, like CEO, who can pass any personal crap upon his reports.
Now i'm starting to get scared - these cash positions are basically gone if matched against the new debt and various creative financing taken on for the AI buildouts. That looks a lot like 2000 - very promising tech everybody is piling money in. And i'm sure that several years later it will provide several decades of tremendous success like Internet did in the last 20 years. It is just those few initial choppy years of the hockey stick trough that we may be coming upon and that many may not survive not having that fat cash position anymore, and thus those years may happen to be very painful for the tech and for the whole economy.
25 years ago there were a lot (estimates put even as high as 95%) of dark fiber left as a result of the dotcom buildout and crash. It was successfully put back into action several years later. I wonder whether we will have similar dark datacenters in a few years.
questions of a layman - couldn't they initially do a small infusion of the [may be even weakened version of that] viruses to check for the immune reaction? May be such infusion would really serve as a vaccine prepping the immune system for the main infusion later? - though immune system killing the viruses may be nullifying the treatment - then may be when doing such therapy the patient needs to be [somewhat] immunosuppressed similar to transplant situations?
International distillers doesn't use that premium content, so they don't pay for it. They do pay for their access to the models they are distilling. Thus providing the revenue stream to those models. Thus those models make profit off the content they used for training. The content they mostly have't paid for.
>It's a cost that American open models will seem to have to pay but not international.
It goes both ways - American companies and their business are protected by American laws and have access to the market protected by those laws, etc.
Also note that the OpenAI/Anthropic argument is that the model training is sufficiently transformative to satisfy the fair use of the original content for training.
By that same argument, when distilling the distillers aren't using the original content the OpenAI/Anthropic models were trained on - the distillers are interacting only with the "sufficiently transformed" content of the OpenAI/Anthropic models and are normally paying for that.
There is also that old phonebook rule that facts can't be copyrighted. So, if i asked the model about bunch of phone numbers, i can publish the resulting list, can train my model on it, etc. Such approach doesn't allow to reproduce copyrighted works of course - and as we know the AI output isn't copyrightable, so it looks like basically any output i get i can use whatever way i like.