The distinction you make is irrelevant since both are under Congress' responsibility. The president has no constitutional authority to determine which currency is minted and how much of it is minted.
My biggest concern is, what happens when countries like China, who aren't restricted by this, far outpace western countries in this technology? Do we just shrug and accept our far inferior models? LLMs are a productivity multiplier (similar to a search engine), so it'll have a large impact on the economy if licensing costs prohibit large scale training.
Not exactly. For example, you can have a singleton object that maintains a persistent connection to a db to persist logs to. No one's going to inject the "ElasticsearchLogger" object in their method/class by accident, and even then, they'll only have access to the singleton state that the class lets them have access to. So now your private Counter variable is inside a global singleton without being accessible by anyone, even if that person is disregarding all of OP's rules.
Yeah, I like how the OP basically recreates scoped variables by applying all these strict rules, instead of just using scoped variables. For example, with DI, instead of a global variable, we just use a singleton/scoped dependency. Why? Because we can enforce those rules implicitly without hoping everyone pinky promises to use the global variables correctly.
FYI their open source ai definition released with a lot of controversy, unsurprisingly because it had heavy contribution from corporations with their own interests. It's best to ignore it for now until the wider community has decided on an appropriate open source definition.
I struggled with C until I learned to hex and assembly program on the 68HC11. Maybe I'm just a moron, but things like pointers for a complete beginner seemed so abstract and obtuse until I learned how to do indirect addressing in assembly, then suddenly it was painfully obvious why C had pointers and how they worked. Before that I just mostly used Python where it's far more abstracted away. People forget that many features like pointers exist to address hardware/performance limitations, which is not immediately obvious to new devs the "why and what" of what they're actually doing inside the cpu which limits your intuitive understanding.
The FBI never made such a statement, and the 51 *former* intelligence officers made a statement that, in their opinion, the laptop contained hallmarks of Russian disinformation, and all of this occurred 2 weeks before the 2020 election for maximum political effect.
Our biggest expense isn't cpu/bandwidth, it's data. S3 (that includes snapshots/backups), databases, and memory. So your experience aligns with mine for AWS, even though we spend magnitudes more.
I'm not sure why you're surprised. Reddit has always been left leaning and progressive, and they were making a lot of noise about Trump his first term, especially with the Mueller investigation.
Now you have a huge trade war going on, he keeps threatening the soveriegnty of multiple long time allies, a billionaire has extensive access to government data (the same one that did that nazi salute), along with ICE being ramped up all in the first couple weeks of his term. Our president also ran a crypto scam that made him billions right before his term started. He also keeps joking about running for a third term and is challenging a 150 year constitutional law on birthright citizenship with an executive order. Even you have to admit that this is a lot going on compared to anything we've seen before.
They already had a satisfying career, their complaint centers around how that was derailed and now they're working on something they have no interest in.
The human input makes sense, otherwise, couldn't you bruteforce generate billions of low resolution images that cover a vast range of situations and then use that to attack anything similar enough to fit the substantial similarity condition? You could even plug a news feed into the generator.
An old employee using his home printer in 2024 to print up old mockups sounds more exclusive than actual prototypes from the 90s? What is your reasoning there?
OAuth's biggest issue is that unless you are regularly working with it, you'll probably forget most of the details once you're done implementing it. Similar story with regex for me, it's not that complex, but when I'm building queries a couple times a year at most, I end up forgetting it mostly. It's not surprising that most folks don't understand it, even if at one point they did in the past.
I made the switch to YouTube shorts when tiktok went down and my experience is largely the same, if anything I'm seeing more educational material on electronics and programming which I enjoy. No ragebait yet unlike TikTok. No idea about instagram reels though.
Not everyone is using these models for professional coding. I have largely replaced googling with chatgpt for everyday searches, so it's good to understand the biases of the tool I'm using.
It absolutely is true. This Chinese model wiped hundreds of billions in value from the American market, positioned China as a leading innovator, and pivoted the world to using a model with heavy Chinese biases. It's a brilliant masterstroke for the advancement of China on the global stage.
I more meant, if a model is only trained on 100% absolutely positive data concerning a specific subject, including any data that implies certain taboos it must avoid at all costs, the model will embed that strong bias in its learned parameters.
Hypothetical question: is the chinese government capable of exploiting chatgpt to get around the query limit? For example, making queries through compromised devices or even snooping local traffic on devices? Let's face it, these models are closely alligned with China's national security so it's not a farfetched question to ask.