You’re forgetting the EU is composed of people elected and appointed by member countries. If you don’t like certain policies - contact your MEPs and express your views. Also go vote during your next election. It’s called a democracy for a reason.
That's oversimplification. EU is composed of people vetted by lobbyist/old money groups, elected and approved by member countries. Their primary allegiance is not to the voter.
You don't have "your MEP" in most EU countries. They don't care about you because their loyalty is to the party, not the voter. They need to be with good standing with the party to even get on the list.
There are so many indirections in that "democracy" that it's no longer a democracy at all. You don't get to vote on issues, you don't get to vote on people (they are just a proxy for a party). You just get to vote on 2-3 reasonable parties (if even that). There is nothing you can do in that system about a specific issue.
I would say the root problem is not someone seeking to prevent piracy but rather the fact that so many services are clustered behind the same proxy / CDN service (e.g. Cloudflare).
That in my view is what needs to be regulated and Cloudflare designated as a “gatekeeper” with all the responsibilities to go with that.
La Liga would never be able to secure blanket bans if people and services were more decentralised
I disagree, I think the bigger issue is blanket banning IPs because they can't decrypt the traffic.
This is the kind of manufacturing consent that would make some people be in favor of the government MITMing crypto so that they can verify that I'm not doing something naughty.
Both are problems. In Spain we have laws that are supposed to give us reasonable access to internet websites, and no one should be able to block large swaths of the internet in order to block access to few websites, supposedly at least. Clearly this been compromised, and the judges themselves seems to go against the law, but I'm hopeful it'd be restored one day.
> La Liga would never be able to secure blanket bans if people and services were more decentralised
They technically haven't either. According to "ban-supporters", La Liga first reached out to Cloudflare asking them to shut down the pirate stream websites using Cloudflare. After Cloudflare rejected that, La Liga went to judges that approved forcing ISPs to ban specific IPs (related to the services) which happened to be Cloudflare IPs that other services uses too.
End result is the same, it fucking sucks sometimes when shit unexplicitly breaks before you remember there is a football game, but at least I think that's a bit more accurate to what's practically happening :)
Then I'm not the target audience for any mobile OS, given the restrictions of Google's and Apple's platforms, not to mention the inadequacy (for me) of the features sets for any of the niche open source alternatives. While I expect I'm not in the majority, I'm certainly far from unique.
That's not a good position to be in; this duopoly we've allowed to prosper needs to go.
It is absolutely Apple's job to protect people who do not have the desire or capacity to decide what is a good use case or not from predators (yes, the ad industry is 100% predatory).
The whole reason I and my entire family have iPhones is because there are entire classes of scams and scum that you don't have to be constantly vigilant against. If it didn't do that, I wouldn't buy them.
Well, it really isn’t. First, this entire post makes two assumptions: 1) that AI adds more value to the process than it removes and 2) that it’s sustainable.
It’s not pessimism to want to validate these first.
Are AI “gains” really transformative or simply random opportunities for automation which we can achieve by other means anyway?
Can the world continue to afford “AI as a service” long enough for the gains to result in improvements that make it sustainable? Are we dooming our kids to a hellishly warm planet with no clear plan how to fix it?
It’s not pessimism, just simple project management if you ask me.
They're transformative in the sense that will shrink the optimal team size, but I don't expect the jobs to actually go away unless these things both get substantially better at engineering (they're good at generating code but that is like 20% of engineering at best) and we have a means of giving them full business/human levels of context.
Really basic stuff gets a lot easier but the needle doesn't move much on the harder stuff. Without some sort of "memory" or continuous feedback system, these models don't learn from mistakes or successes which means humans have to be the cost function.
Maybe it's just because I'm burnt out or have a miner RSI at the moment, but it definitely saves me a bit of time as long as I don't generate a huge pile and actually read (almost) everything the models generate. The newer models are good at following instructions and pattern matching on needs if you can stub things out and/or write down specs to define what needs to happen. I'd say my hit rate is maybe 70%
> we have a means of giving them full business/human levels of context
Trust me, this is a work in progress. Right now most corporations do not have their data organized and structured well enough for this to be possible, but there is a lot of heat and money in this space.
Imo, What most of the people that are not directly working in this space get wrong is assuming swes are going to be hit the hardest: There are some efficiency gains to be won here, but a full replace is not viable outside of AGI scenarios. I would actually bet on a demand increase (even if the job might change fundamentally). Custom domain made software is cheaper as it has ever been and there is a gigantic untapped market here.
Low complexity to medium complexity white colar jobs are done for in the next decade through. This is what is happening right now in finance: if models stopped improving now, the technology at this point is already good enough to lower operational costs to the point where some part of the workforce is redundant.
> Right now most corporations do not have their data organized and structured well enough for this to be possible, but there is a lot of heat and money in this space.
I think you misunderstand what I'm saying. I'm not really referring to data systems at all, I'm referring to context on what problems are actually being solved by a business. LLMs very clearly do not model outcomes that don't have well-defined textual representations.
I'm not sure that I agree with white collar jobs being done for, not every process has as little consequence to getting it wrong as (most) software does.
> I think you misunderstand what I'm saying. I'm not really referring to data systems at all, I'm referring to context on what problems are actually being solved by a business. LLMs very clearly do not model outcomes that don't have well-defined textual representations.
Yeah i misunderstood your point, i completely agree with what you are saying.
I honestly do not believe that strategy, decision making and other real life context dependent are going to be replaceable soon (and if it does, its something other than llms).
> I'm not sure that I agree with white collar jobs being done for, not every process has as little consequence to getting it wrong as (most) software does.
Maybe im too biased due to working in a particularly inefficient domain, but you would be surprised how much work can be automated in your average back office.
Much of the operational work is following set process and anything out of that is going to up the governance chain for approval from some decision maker.
LLM based solutions actually makes less errors than humans and adhere to the process better in many scenarios, requiring just an ok/deny from some human supervisor.
By delegating just the decision process to the operator, you need way less actual humans doing the job. Since operations workload is usually a function of other areas, efficiency gains result in layoffs.
> Maybe im too biased due to working in a particularly inefficient domain, but you would be surprised how much work can be automated in your average back office.
> Much of the operational work is following set process and anything out of that is going to up the governance chain for approval from some decision maker.
Oh that's very interesting! Thank you for the insights!
> Trust me, this is a work in progress. Right now most corporations do not have their data organized and structured well enough for this to be possible, but there is a lot of heat and money in this space.
This is exactly what people were saying a decade ago when everyone wanted data scientists, and I bet it's been said many times before in many different contexts.
Most corporations still haven't organised and structured their data well enough, despite oceans of money being poured into it.
> will shrink the optimal team size, but I don't expect the jobs to actually go away
If they've shrunk the team size, that means some jobs (in terms of people working on a problem) will have gone away. The question is, will it then make it cheap enough to work on more problems that are ignored today, or are we already at peak problem set for that kind of work?
Spreadsheets and accounting software made it possible to have fewer people do the same amount of work but it ended up increasing the demand of accountants overall. Will the same kind of thing happen with LLM-assisted workloads, assuming they pan out as much as people think?
Very good example as to why using a single, centralised proxy globally by all services is a bad idea. Docker would never have a reason to block anything if they were simply running their own.
For everyone else, small and big, this is the weekly reminder to not use Cloudflare for user-facing access to anything.
The amount of traffic that must go through the docker hub, must be insane, the images go into the gigabytes and everyone expects it to be super fast.
Cloudflare is one of the few companies who can handle that for relatively cheap, Docker could not just "run their own" and have it even be compareable.
One of few doesn’t mean they’re the only ones. Imagine how much easier it would be for CDNs to have revenue if they didn’t have to battle Cloudflare’s obscenely broad portfolio
Ah come on surely you’re not blaming Cloudflare for refusing to block individual websites without a court order? And surely you’re not blaming Cloudflare for the decision of the Spanish government to block all of Cloudflare during LaLiga?
Docker must be handling absolute massive amounts of traffic on their (free) docker hub, Cloudflare is one of the only companies in the world willing to handle that is able to handle that cheaply. It’s no secret that Docker is struggling financially. So surely you’re not blaming Docker as well for using Cloudflare?
I’m blaming everyone else for “just use Cloudflare”. How many times the world needs to learn the lesson about letting corps outgrow their usefulness and become maligned?
There are alternatives and any search engine can lead you to them
I think that’s the realm of conspiracy theories. There are also not only Chinese alternatives- Mistral in Europe is doing pretty good in several categories they’ve opted to focus on.
This kind of reiterates the parent’s question I think - people are maybe too focused on the gpt/claude model and forget about all the other ways of using the tech.
I think that’s a very common element for most US tech corps. Apple, Google, Microsoft, Meta, X etc - they’re all “making a dent in the universe”. It’s unfortunate when their employees and CEOs loose track of the line that separates marketing from reality
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