So I worked for a company who's product was sensor networks for this exact situation, and the European company who bought us had a cloud-only solution they wanted to replace our on-premise product with. Thankfully most hospitals and research institutions in the states are smart enough to reject cloud-based solutions for this exact reason. In theory you could penetrate our systems but it would have to be a very direct, specific attack to be able to do it. My colleague in Germany has been an SWE contractor since 1978 and is genuinely the best engineer I've ever worked with. No matter how off the wall my ideas were he'd already considered it and eliminated it as an option.
Its probably a state actor like the Russians who are having wave after wave of foreign built and powered drones hit their infrastructure. Which in their minds where they're not the aggressors somehow makes it a legitimate target, I guess.
The reason PHP and other, "joke languages" are still in use is because business needs power businesses, not engineering wants. Plenty of businesses are still run on pen, paper, and custom spreadsheets because those things just work or work well enough. Could they do a better job or scale up more with a SaaS offering or two? Possibly, but why?
Yes, we are, the amount of data centers being built doesn't make sense for long-term model improvements. They are definitely planning on licensing us terminals to use instead of our own PCs at the very least as a backup plan if the frontier companies fail and have assets liquidated.
Yes, you were. These exploits are happening in processes like php-fpm before it actually executes any code for the web application, so its not like you need to find endpoint where a specific class is being invoked or anything like that.
Yeah, everybody wants freedom and flexibility from self-employment, but that's generally speaking not a realistic attainable goal. The most defensible small businesses are ones that are sweaty i.e. require a lot hard work and hours others just wont justify doing, and that's an extremely important facet because without employees its much easier for a business to catastrophically collapse. Pretty much by definition anything that requires low effort is easy to clone and thus become saturated.
That's really not how probabilistic systems work though. They're great at getting 80% of the way to the goal but the last 20% is always excruciatingly difficult. I really don't intend that a knock because LLMs are useful, but they also aren't magic boxes where anything is possible.
Dawg, you clearly haven't used any consumer-grade software in the past 5 years. Everything across the board is a worse experience and there in some cases are limitations that make no sense. Use any app such as Spotify or Uber Eats, its a worse experience than it was 5 years ago, hands down. Everyone outside of our bubble knows it.
People have been saying this for the past 16 years, but the reality is once a system is in production over time it becomes increasingly risky to replace it. Because over the life of a piece of software you make tons of small fixes, resolve bugs, adding customer-specific functionality, etc. that you'd completely overlook when planning our requirements for a rewrite. Which is a big problem when other systems are dependent on the software operating a specific way i.e. APIs, web services, and so forth. Not to mention the economics of a rewrite also has to make sense. Nobody is going to spend 2-3 years recreating what they already had and get no additional functionality out of it. Certain software basically has to get so bad that literally anything replacing it is better than what came before for replacing it to be the right approach.
Serious question about phone security: do phone application operating systems do anything to protect against the device's real-time OS from being able to access RAM/Disk that's being used by the application OS? Because if that cannot be controlled security at the application OS level is meaningless.
The problem with LLMs is that: popularity of an answer != correctness.
That concept might work a lot of the time but you will definitely run into situations where that'll never produce a correct or working response. To actually learn something you need an environment/playground to apply what you think you know and observe the results. Without that you're not really learning, you're jus regurgitating what people want to hear.
Why do we need to decipher this like its some abstract concept? While AI's output is impressive to older generations clearly younger folks think its ass otherwise it wouldn't be an insult.
But why is anyone surprised? LLMs have been trained to produce answers the prompter asks even if that means incorrectly using software to get the job done. Its always been doing that we just weren't calling every time it did that a hack before.
What LLM's hacking isn't is AI acting maliciously in any kind of sentient way. Its just the code behaving how its always behaved but now it has better tools to navigate the web. This has literally been happening this whole time.
Phones typically have 2 operating systems: one to handle telephonic functions like managing tower connections and separate operating system for user applications. The security implication here is that the telephonic operating system has access to the same system resources as the application operating system at the same time, right? The problem is your data is always available in plaintext to the telephonic OS because it has to be stored somewhere before it gets encrypted, so assuming graphene OS doesn't handle both functions its not a perfectly closed loop system.
You do understand these rules impact Americans who petition for the visas of their foreign spouses, right? Its not just people coming into this country for work purposes only. Its awfully heartless to assume that the only immigrants coming over here are doing so to solely make money.
Did you not read it? Just because there's a database primary doesn't mean there is 1 primary database. There's likely man redundancies and they have issue with how they're allocating traffic to them which is in turn causing an issue with how much traffic redundancies are receiving.
One of the things about mobile phone is that there's 2 OSes on the phone: one that handles the phone stuff and the other that you as a user actually interact with. What's really scary about it is that the OS we do not think about is often licensed to the manufacturer (Apple, Samsung, etc.), closed-source, and dated. There's a lot of security firms that sell fake cell towers to law enforcement and governments and that gives them access to all of the data you send over the network. In older formats like 2G there was no encryption on anything sent over the wire.
If you dig into the fake cell tower rabbit hole you'll find what you're talking about to be an even worse problem.
How are we winning? Nobody has actually created a business model that works yet. Just because you can hemorrhage hundreds of billions of dollars to build the most performant model doesn't necessarily mean you're going to make your money back.
They've literally rated the debt as too big to fail in order to get foreign sovereign wealth funds (mostly gulf states) to agree to put up the money for loans. This has been happening this entire time.
Also, consumers are increasingly being tapped out for literally anything and everything. The demand for the things they want still exists, but they cannot readily afford it like the could in the past. Its not like all the Steam Deck customers are buying some budget friendly alternative instead. They're simply just not spending money period.
Except for when it is, the constraints of software engineers has always been bound to the constraints of Classic Computing, but over the years we've abstracted that away to the point of where many in the field may not even realize it.
Exactly, consider the scenario where laws are at play and violating them could cost companies thousands. Recently my father received a 'request for address' letter addressed to me at his nursing home, the building has always been a nursing home, and he's also in his mid-70s. That's very obviously a violation of the Fair Debt Collection Practices Act. Imagine the implication of this if the law firm in questions used an AI-assisted data enriching product to find this information. That SaaS company is not only liable to that one law firm but every law firm who uses their software. Its potentially a federal class action lawsuit.
My point is, deterministic logic matters in certain circumstances 100% of the time. Forcing the LLM to make something unlikely is not good enough because a series of mistakes could very quickly bankrupt the company.