Brexit does seem to have been a general loss for Britain.
But I'm very distracted by Germany - what happened/is happening there that they're faring so much worse than, say, France? (And in several of the cited measures, worse than the UK too?)
As other comments have indicated, this is basically solved for all servers. All Poweredges and supermicros have come with increasingly sophisticated integrated remote management systems for the past 20+ years. I have some R610s and their drac is old but still quite good all things considered.
Once you hit a certain processing threshold, stripe underwrites you. The benefit is some people get better deals or get to skirt by rules just by being immaterial.
Separately: Once you hit a certain threshold, you get an account rep and can ask for IC+ billing. This is sometimes better than the blended/sticker rate.
And furthermore, once you're really big enough, you can negotiate down Stripe's markup on the interchange. (As with any big enterprise contract).
It's also a very lame definition. Intelligence - and humans - are more than just labor.
(You'll forgive me for conflating humanity and intelligence - we are homo spaiens, after all. Thinking man.)
I'm not _confused_ why these "AI" "Labs" are using that definition though. It's extremely clear they're trying to eliminate the need for the non-owner class. They're not selling LLMs (some companies are, but not these companies). These companies are selling the idea of labor without laborers to people who hate and fear laborers - and their utter dependence on them - more than anything else in their lives.
Really looking forward to the scam collapsing. Crypto wasn't very satisfying to me because too many of the victims were just idiots. This time, it's class warfare.
I don't think we understand consciousness, thought, and what we generally consider to be "intelligence" even nearly well enough that we can start getting hopeful that what works for us is going to work for a computer. Philosophers have been working on this for literally millennia and despite electron microscopy, MRIs, our entire standard model of physics, etc etc etc... we're basically no closer than the ancient Greeks, despite continuous opining on the topic.
Luckily for planetary overlord hopefuls, you probably don't need the whole package to become overlord. Just machines that can build machines.
I will remark that I don't really understand why any of the current idiot overlord hopefuls even want the job. The entire world is _already_ functionally their slaves. The only thing jeff bezos doesn't have that I can imagine he wants is the world to not think he's an asshole. But short of complete genocide of the human race, I don't think even overlord status will make progress on that. Might even be counterproductive.
What happens if the merchant folds or disappears? Stripe (or Visa or whoever) then are the bagholder. And if someone has a ton of chargebacks, it's not uncommon they're then difficult to collect from.
For specifically sexually explicit stuff, it's because chargebacks are __significantly__ higher for these types of purchases. High enough that it messes with the credit and counterparty risk modeling that processors use. You can use your imagination to come up with many reasons these result in more chargebacks than normal purchases.
Theoretically, they could just split out "explicit" vs "normal" risk categories, but there's two top problems there: 1) it's just fundamentally a smaller-yet-way-more-annoying category than the rest of their payments, and 2) tons of your partners (banks etc etc) have blanket-banned for all of the above reasons.
I think at its root, the general idea of shrinkflation is that some desirable attribute of a product - quantity or quality - is slowly eroded while keeping the price the same. As a way to either increase margins, or preserve the price point. With there being some insinuation of malice, where the company is theoretically (...probably fully intentionally...) hoping consumers don't notice, at least for a while, that the deal keeps getting altered.
See that's the thing people are upset about though - the fact that the documents you need are either an original certified copy of a thin sheet of paper from whatever random backwater you were born in's local government (birth cert), or an expensive time-consuming document that needs to be renewed on top of that (passport).
In general, the people against these kinds of things aren't against the simple extra check of something that's theoretically already true (registered to vote / ID at voting place, citizenship at banks, etc). They're against forcing people to provide arcane, asterisk-ridden (including married women! a large demographic!) documents.
If we just had a normal federal ID system like a normal country, where you just got one mailed to you when your kid was born just like their social security card manages to do, then this would all be much more fine. But noooo god forbid we be normal for once. Much better to keep using random bullshit in place of a national ID.
And sometimes it can't even handle it then. I was recently porting ruby web code to python. Agents were simultaneously surprisingly good (converting ActiveRecord to sqlalchemy ORM) and shockingly, incapably bad.
For example, ruby uses blocks a lot. Ruby blocks are curious little thingies because they are arguably just syntax sugar for a HOF, but man it's great syntax sugar. Python then has "yield" which is simultaneously the same keyword ruby uses for blocks, but works fundamentally differently (instead of just a HOF, it's for generating an iterator/generator) and while there are some decorators that can use yield's ability to "pause" execution in the function to send control flow back out of the function for a moment (@contextmanager) which feels _even more_ like ruby blocks, it's a rather limited trick and requires the decorator to adapt the Generator to a context manager and there's just no good way to generalize that.
Somehow this is the perfect storm to make LLMs completely incapable of converting ruby code that uses blocks for more than the basic iteration used in the stdlib. It will try to port to python code that is either nonsensical, or uses yield incorrectly and doesn't actually work (and in a way that type checkers can even spot). And furthermore, even if you can technically whack it with a hammer until it works with yield, it's often not at all the way to do it. Ruby devs use blocks not-uncommonly while python devs are not really going to be using yield often at all, perhaps outside of @contextmanager. So the right move is usually to just restructure control flow to not need to use blocks/HOFs (or double down and explicitly pass in a function). (Rubyists will cringe at this, and rightly so... Ruby is often extraordinarily expressive).
The fact that such a simple language feature trips them up so completely is pretty odd to me. I guess maybe their training data doesn't include a lot of ruby-to-python conversions. Maybe that's indicative of something, but I digress.
While I think a lot of the AI hype is just hype - everyone saying most of these things have _hitherto untold riches_ levels of financial incentives to say them - I think it's also undeniable that LLMs speed up many aspects of coding.
I also think that AI might be the beginning of the end of copyright. While before, everyone with money clearly had tremendous incentive to keep copyright strong, now all of a sudden trillions of dollars are basically predicated on the idea that LLMs aren't violating copyright. Copyleft has been a major tool in the FOSS toolbox. If that's weakening, I don't ALSO want free software to be locked out of agentic programming too.
Quantization is important for me because it's the only way out I can see for a future of programming that doesn't involve going through a giant bigco who can run, as the article says, a machine with 2TB of memory. And not just memory, but my understanding is that for the model to be performant, it has to be VRAM to boot.
This comes as the latest concern of mine in a long line around "how software gets written" remaining free-as-in-freedom. I've always been really uneasy about how reliant many programming languages were on Jetbrains editors, only vaguely comforted by their "open-core" offering, which naturally only existed for languages with strong OSS competition for IDEs (so... java and python, really). "Intellisense" seemed very expensive to implement and was hugely helpful in writing programs without stopping every 4 seconds to look up whether removing whitespace at the end of a line is trim, strip, or something else in this language. I was naturally pleased to see language servers take off, even if it was much to my chagrin that it came from Microsoft, who clearly was out of open standards to EEE and decided to speed up the process by making some new ones.
Now LLMs are the next big worry of mine. It seems pretty bad for free and open software if the "2-person project, funded indirectly by the welfare state of a nordic or eastern-european nation" model that drives ridiculously important core libre/OSS libraries now is even less able to compete with trillion dollar corporations.
Open-weight, quantized, but still __good__ models seem like the only way out. I remain somewhat hopeful just from how far local models have come - they're significantly more usable than they were a year ago, and we've got more tools like LM Studio etc making running them easy. But there's still a good way to go.
I'll be sad if a "programming laptop" ends up going from "literally anything that can run debian" to "yeah you need an RTX 7090, 128GB of VRAM, and the 2kW wearable power supply backpack addon at a minimum".
Software will ALWAYS be an attractive VC target. The economics are just too good. The profit margins are just inherently fat as fuck compared to literally anything else. Your main expense is headcount and the incremental cost of your widget is ~$0? It's literally a dream.
It's also why so much of AI is targeting software, specifically SAAS. A SaaS company with ~0 headcount driven by AI is basically 100% profit margin. A truly perfect conception of capitalism.
Meanwhile I think AI actually has a decent shot at "curing" cancer. AI-assisted radiology means screening could be come significantly cheaper, happen a lot more often, and catch cancers very early, which is extremely important as everyone knows to surviving it. The cure for cancer might actually just involve much earlier detection. But pfft what are the profit margins on _that_?
Look at bandcamp. They unionized successfully. Then the company got sold (again), and everyone but the union leaders (and prominent members) got job offers from the new parent company. Basically got reverse-fired.
I still suspect part of the reason Epic sold them is to ninja-bust the union (or at least get it out of the way).
- the insane frothing hype behind AI is showing me a new kind of market failure - where resources can be massively misallocated just because some small class of individuals THINK or HOPE it will result in massive returns. Even if it squeezes out every single other sector that happens to want to use SDRAM to do things OTHER than buffer memory before it's fed into a PCIE lane for a GPU.
- I'm really REALLY glad i decided to buy brand new gaming laptops for my wife and I just a couple months ago, after not having upgraded our gaming laptops for 7 and 9 years respectively. It seems like gamers are going to have this the worst - GPUs have been f'd for a long time due to crypto and AI, and now even DRAM isn't safe. Plus SSD prices are going up too. And unlike many other DRAM users where it's a business thing and they can to some degree just hike prices to cover - gamers are obviously not running businesses. It's just making the hobby more expensive.
Yeah I really will give people a pass here. The state of email is one of the worst collective mistakes I think we've made.
You can literally be an expert in everything relevant - and your mail will still not get delivered just because you're not google/mailgun/etc.
I was trying to do a very simple email-to-self use-case. I was sending mail from my VPS (residential IP not even allowed at all) which was an IPv4 i'd had for literally 2+ years to exactly only myself - my personal gmail. I had it all set up - SPF, DKIM, TLS, etc etc. And I was STILL randomly getting emails sent directly to spam / showing up with the annoying ! icon (grates on my sensibilities). I ended up determining - after tremendous, tremendous pain in researching / debugging - that my DKIM sigs and SPF were all indeed perfect (I had been doubting myself until I realized I could just check what gmail thought about SPF/DKIM/etc. It all passed). And my only sin was just not being in the in-crowd.
Incredibly frustrating. The only winning move is not to play. I ended up just switching from emails-to-self to using a discord webhook to @ myself in my private discord server, so I get a push notification.
And this was just me, sending to myself! Low volume (0-2 emails per WEEK). Literally not even trying to actually send emails to other people.
This "It's not (just) X, it's Y." pattern is so LLM-y it's almost hard to read it now.