If you're aruging about historical accuracy, but still want accurate looking generated images, I don't know what to say.
But to the technical point, A large part of the training corpus has biases that if left unchecked would cause PR based disasters for the company hosting it. ie the classic black teenager/white teenager.
Now as training of models is not an exact science, and neither is the fine tuning, its analogous to forcing a water balloon into a square box. Its possible but it has odd side effects when you get to the corners.
When making a _product_ you need to choose the least worse failure case. For grok it was for a long time, pandering to the ego of the owner. For Google, who is an advertising company, its about trying not to scare advertisers. This means everthing must be vanilla
It is however a product of a regime that is currently debasing freedom and racially targeting its own citizens and causing them harm. Is it as bad as what happens to Chinese muslims? No.
But does it have a disproportionate effect on the rest of the world? yes. Musk is funding authoritarianism in the UK. He is funding people that are causing racial division. He is promoting views that are antithetical to the core of U belief.
Grok is a product of this man, and all that baggage.
Infact I would go so far to say that it requires a constant introspection to evolve society to adapt to its current environment. This would be impossible in a "perfectly" enforced system, or even a vaguely rigid one.
if you are after quietness and "power" then an old workstation is a great bet. They normally have space for at least 4 fullsized HDDs, the more modern ones have lots of PCI space for nvme-ssd cards (for space) and some have lots of lanes for speed
They also tend to come with SAS/whatever remote nvme is called/SATA expnasion options
The down side is they are not as space efficient, they also tend to have 60-120watt CPUs, so expensive to run
I used to look after storage arrays for VFX places.
everytime I saw lvm I inwardly sighed. The docs were terrible, almost as bad as MDADM. snapshots were for a long time unrecoverable. You'd then have to work out what pattern of LV you had, was it a suprise raid0? or a misaligned raid1?
zfs is a night and day compared to LVM/mdadm, two tools, rich help, the man pages are reasonably good, and once you understand zfs vs zpool, you're usually good to go.
Tech company: "We will now lobby the government to allow us to keep astronomically high insulin prices through large scale collusion with insurance companies"
Look, the issue is two fold:
1) The Zuckerbergs class are insulated naive boys who've never spent time in the real world. So they do not understand that thier actions might have consequences.
2) every fucking tech giant starts out promising liberty, then gradually creates either a blood sucking money printer, or some hellish sock puppet system that props up their warped world view.
The general point of society is that there is a collective agreement that people should live by a set of rules, and if you step outside of those rules, you will be punished.
It could be simple as someone telling you off for being rude, all the way up to prison for a huge transgression.
As ever with all things human, life exists on a spectrum. on the one had you have complete anarchy, where you are on your own with no redress from others, to complete cult like rigidity, where you have no agency.
However putting barriers up in the way to stop people easily committing crime (ie locks, drink driving bans, drivers license, restrictions on what items you can call miracle cures) are noble and mostly uncontroversial. It only really becomes a controversy when it either causes hardship, or more likely it means that people who are currently profiting from a morally grey action will lose money.
> AR glasses coupled to consumer hardware should actually consume less power,
Just on that point, if we are talking about a monochrome screen that is just displaying text, that is just an IO device for a mobile phone, I can see the argument but its not really the case.
Screens _eat_ power, waveguides are really not that efficient, so need mini projectors that are overdriven to produce enough light. Current off the shelf for VGA/25 degree is 95mw for the projector only, none of the other hardware. (https://www.jb-display.com/product_des/17.html)
that gives you 4000 nits to the eye. Which is about enough for normal day to day tasks in normal light. (assuming you've cracked waveguides, and thats an active area of research)
But, thats a poor experience, as its not "world locked" as in being able to attach things to real world objects. For that you need a whole new rendering system along with a SLAM stack to know where you are, a machine perception stack to work out what you are looking at. Bear in mind that 90mw for the projector is about 2/3rds of your entire power budget. bear in mind that even Bluetooth LE is quite expensive ranging from 12-40mw for streaming something like 1mb (although through LE thats a tough ask)
I should have made clear, my suspicions are not really around the engineers running this, its the people who are less motivated by the original cause that can see $$$ in it.
Thats the point right, most of us would, if given the chance, divert some funding to work on a passion project that could easily save lives. That I applaud and would love more people to be able to do.
My point is, phased arrays of ultrasound have the ability to be destructive. In the same way that a single MIMO wifi AP isn't going to cook you, but 10,000 MIMO arrays steering coherently over you will.
One the one hand its great that they are spending the time and money to do this, on the other hand I am _very_ suspicious of their motives.
Getting _a_ picture is not that difficult, getting an accurate, repeatable, high resolution picture is a lot harder, and state of the art.
my worry is two fold:
1) over promise and causing injury to desperate people who see smudges on scans and have invasive surgery only to find out that its a reflection/artefact
2) what are they doing with the data they collect, and how will it be used to make money.
I think the main issue is that there are "no good startups" any more. As soon as an innovation happens that might be worth something, your original CEO is replaced by someone driven entirely by money, rather than public good. Or they get bought out by a corp that only cares about maintaining a monopoly.
True, but ultrasound isn't entirely benign. Depending on what frequency and what power it can crack solid parts of the body (its used to break up kidney/gall stones) it also can heat things up (which is, assuming my understanding is correct, why doppler scans for blood flow are not done on <18 week pregancy)
Excellent, with stunning insight like this, you can see why this VC is earning the big bucks.
This is almost economics level of line projection.
It would be good to understand _why_ anthropics "AI" bill is so high. First, They are going to be renting a lot of inference compute just to service customers (Meta's Capex bill is about 2x its wage bill) It then also needs a huge amount of infra to both run training and experimentation. THats probably a third of the cost. (storage and physical infra to get the most out of storage and compute is hard. Then getting it reliable, so that shit state doesn't propogate across the shared memory plane is very hard.
The other thing to note is that claude usage inside anthropic is tiny compared to the customer's usage. even with uber agents at "mythos++" its going to be at best a few thousand servers. not like the massive fleet needed to serve the paying customer.
So using anthropic as some sort of rational target to base any kind of prediction is madness. Its like looking at lyons tea rooms and going yeah, every company is going to spin up an R&D arm to make a company specific computer: https://www.sciencemuseum.org.uk/objects-and-stories/meet-le...
ALSO this assumes that the current way of running LLMs is the way forward. Custom software is expensive (in both time and tokens) to look after, its much easier and cheaper to buy it in from SaaS companies and let them figure that shit out. (yes I know SaaS apocalypse, but you are paying for real world experience, and a packaged way of doing things, rather than experimenting your self, where in a lot of cases the company doing the experimentation doesn't know what its doing)
The author is missing the _hardest_ part of small hardware: power management.
The reason why AR glasses are not a thing yes is because there isn't a big enough battery to allow them to function for more than a few minutes.
Glasses form factor have space for about .9watt hours now, and ~2 in 4 years time (assuming current trends) Assuming a 14 hour day, that means that your have 140mwhr to spend every hour. A not very bright light on your glasses is about 30mw, a decently bright one is 90mw. Processing imagery on that kind of budget requires custom silicon, and a huge bunch of optimisations.