marcinzm

They're not taking a stand. Turkey and India have right wing authoritarian governments that Musk is literal friends with. Brazil does not.

I don't want un-elected social media billionaires making political decisions for me.

Didn't seem to stop Twitter in India and Turkey.

> It's a matter of licensing independence.

And supply chain independence. I've heard that some GPU clouds are delayed because their Infiniband hardware was delayed due to the Israel–Hamas war. Optimally you probably want to avoid critical hardware that's being manufactured in a high risk of disruption zone.

This seems like a very strong selling point for B2B AI providers versus in-house enterprise builds of AI.

> First, industry stakeholders often misunderstand — or miscommunicate — what problem needs to be solved using AI.

The provider at least partially validates that this is a problem space that AI can improve which lowers the risk for the enterprise client.

> Second, many AI projects fail because the organization lacks the necessary data to adequately train an effective AI model.

The provider leverages it's own proprietary data and/or pre-trained models which lowers the risk for the enterprise client. They also have the cross-client knowledge to best leverage and verify client data.

> Third, in some cases, AI projects fail because the organization focuses more on using the latest and greatest technology than on solving real problems for their intended users.

Provider, especially startups, will lie about using the latest tech while doing something boring under the hood. This, amusingly, mitigates this risk.

> Fourth, organizations might not have adequate infrastructure to manage their data and deploy completed AI models, which increases the likelihood of project failure.

The provider manages this unless it's on-prem although in the latter it can provide support on deployments.

> Finally, in some cases, AI projects fail because the technology is applied to problems that are too difficult for AI to solve.

Still a risk but a VC or big tech budgets covers that so another win.

That's bad management if it's seen as career ending failure. Proper management just does the ROI on the successful ones versus overall cost. And doesn't risk everything on them. Large tech companies test hundreds of model changes and rollouts per year in AB tests for that reason.

> There's a whole section starting on page 54 that details how RealPage encourages landlords to converge on price, and there's no enforcement mechanism mentioned.

I mean, not sure what else I'd call something like this:

>If a property manager disagrees with the direction of a recommended price change—e.g., the manager wants to implement a price decrease when the model recommends a price increase—the RealPage pricing advisor escalates the dispute to the manager’s superior.

Banks do a massive amount of tracking and flagging. Even putting a joke “for drugs” in a Venmo field can cause issues. Plus reporting large transactions. There was a massive post on HN yesterday about how often banks close startup accounts due to false positives.

Less creativity is likely a plus for most jobs and not a negative.

LLMs are deterministic if you force a seed or disable sampling. They however do not guarantee that small input changes will cause small output changes.

I find the post confusing. The author notes two aspects of programming and then seems to conflate LLMs as doing both when they only do the second. It’s sort of like saying directing a movie isn’t art or creative because the director is not every actor in the movie?

If the police tell them illegal activity is happening and give them a warrant to wiretap and they are capable of doing so but refuse then yeah they’re looking the other way. That’s not even getting into things like PRISM.

You really should Google Snowden and PRISM at some point.

You do realize the police wiretap and get metadata from phone companies all the time, right? Not event counting Five Eyes stuff.

I’m sure a post office would definitely refuse a legal request to intercept the mail.

Guess not: https://en.m.wikipedia.org/wiki/Postal_interception

You mean if you’re also running servers for it that store all the data in a format you can read and refuse law enforcement requests in your jurisdiction.

Telegram is not E2E encrypted.

If someone says I need a cab for after I rob a bank and you give them a ride after waiting then you’re almost certainly an accessory. If they flag a random cab off the street then not.

You can report people and have their messages sent to Meta for review.

Because those providers cooperate with authorities and moderate their content to a fairly large degree?

Telegram not being fully encrypted and seeing the content of most messages on its servers but not cooperating with the police?

If they backdoored it between those events then it’d be logical to unban it.

Of the top 100 sites in the US the only ones I see that don't have ads are corporate (ie: Microsoft, Capital One, etc.) and Wikipedia. Arguably the corporate ones are nothing but an ads for that brand. Even Home Depot has ads on its site.

I don't think a 1% rate of no ads is selling your point.

Even most of the smaller sites have Google ads on them in massive quantities.

> The code is gone once it applies

Until you need to update a change or upgrade something or patch a security issue. The most dangerous code is code that doesn't run often. Like backup restores. Ticking time bombs unless you're really careful.

> Bringing k8s into the mix is a whole other application layer that's providing services to your code. Things like sgs for pods, cni plugins, coredns, is code that wouldn't be there in a non k8s world.

The same applies to everything running around your tech stack that you didn't write. That includes the language runtime, the compiler, the operating system, all OS libraries you use, and the libraries your app imports. The ship has sailed and K8S isn't much of an addition.

I haven't hit a CNI bug in probably 5 years and that was only on Amazon's horrible CNI code. I've hit a ton of bugs in my software stack. And the libraries I depend on. And my deployment stack. And my cross-service networking stack at the application layer.

There’s always a mountain of code on top of the cloud provider.

Those mom and pop sites are often filled with trackers and ads. Assuming they haven't just moved to using a third party service that does it for them. It's like saying the person shooting you isn't at fault but only the gun they shoot you with.

History doesn't move backward and the internet users of the mid 90s are not the internet users of now. Give the vast majority of internet users a choice between the internet of mid 90s (after that ads powered it all) and having nothing but large tech owned sites to browse I think you're delusional if you think they'd actually pick the former.

That's not the alternative. The alternative is the death of most sites other than walled gardens like Meta and Amazon that own their own advertising end-to-end. Do you want the internet to be even more Meta controlled?

> I don't care for popular people so, in fact, my bias might be the other direction

It's not about someone being popular and you saying it just makes me more certain you don't realize the trap. People can have well honed social skills and not act like your standard popularity contest wining politician.

That biases heavily to candidates with good people skills and the skill to take over a conversation. Yes, you are not in fact immune to this even if you think you are, that’s why it’s so dangerous.

You mean pay for your own tools and then get fired for circumventing the corporate security policies on what tools you can use?