Youtube comments of John Smith (@JohnSmith-op7ls).

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  1466. This is so overhyped. Nobody thought only the “big players” could make competent models. Everyone knew that the software would advance and hardware would get cheaper and more capable. Also, these benchmarks being used are poor ways to compare models. Models can easily be optimized for them and you can’t conclude that because it can solve a specific problem that means it can solve all other similar problems because these models don’t actually reason or understand the mechanics behind how to reason for specific problems. Another major issue here is, it’s from China. If you believe financial claims from any CCP company, I’ve got land in Florida to sell you. There’s no way to know how much they actually spent on training this model. They have every incentive to lie a nobody is going to hold them accountable. They didn’t release the training set and it’s probably because that would show how they cut corners. Cost is also highly related to geography. Of course it’s cheaper to hire a bunch of college students in China than a bunch of experienced ML researchers in the Bay Area, that doesn’t mean those savings are inherent to the technology. Same goes with not having to factor in the cost of hardware since the company already paid for it for their financial analysis. So what exactly did they count in their $5.5m total? Electricity and the salaries of some Chinese grads? Who knows the exact breakdown and if it’s even accurate but cost is not a benchmark here. As for the cost of operating their service, same thing. They could be heavily subsidizing it for marketing purposes, the gov is probably subsidizing it, for sure you don’t have the data security infrastructure around it like you do with OpenAI, Google, Azure, that stuff costs money. Then there’s all the corners they cut in their training process which might work for benchmark purposes but could also have big consequences in performance not well covered by benchmarks. It’s one thing to remove unnecessary drags on performance and another to remove necessary steps because you hope the consequences won’t be seen. Overall it’s a step but in what direction and how big is too clouded by unknowns, the origin of the models and the fact that it’s not really better than the competition unless you factor in the low cost, which can’t be substantiated, means all this hype is unwarranted. AI bros and content creators are shameless and will act like anything and everything is the most amazing thing ever. You don’t do that unless you’re selling a load of BS. The whole industry is starting to feel like crypto. A ton of BS and grifts wrapped around a small kernel of legitimacy.
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  1895. Saying this mimics biological neural networks is just nonsense. First off, we don’t even understand how biological NNs work beyond the surface level. There’s over 3000 types of cells in the brain and we don’t understand how almost all of them fully work much less how they all work together. It was only recently that we learned the brain has a lymphatic system. Only more recently we learned the glial cells, previously thought to have nothing to do with cognitive function, is actually very important to it. All systems like this do is speed up digital NNs, their processing and maybe their training. Digital NNs are so primitive compared to biological ones that the man who coined the term neural network layered regretted it as it implied so much hype and misunderstanding. Digital NNs are nothing more than a bunch of simple functions which take an input value, do very simple math to it against some fixed internal constants set during training, then output the value to the next layer of functions. Essentially, they’re just a way of encoding an algorithm which can handle a lot of variability in the input quality. You could get the same effect by hand coding out countless logic branches if you wanted to. These are called expert systems. So, yeah, how our neurons and synapses and the supporting cells operate are far, far more complex not only in terms of processing information but in the fact they can dynamically change in response to thousands of chemical compounds, not to mention physically changing their structure. Even if you used something like a FPGA processor to dynamically change the functional pathways of the processor, this is a very crude approximation of what biological NNs and you still wouldn’t know how to emulate their function because we don’t know how they function. And don’t even get stared on how nonsense it is to claim a brain has the equivalent to X FLOPS. That just shows a complete misunderstanding of the topic. You can’t make a comparison to transistors when you don’t even know what the brain is actually processing at any given time. Simply taking an average of neurons and how often they fire or number of neurons and synapses and claiming that represents a workload capability which translates to transistors is comical.
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  2210.  @BassByTheBay Yeah that Google engineer was completely out of line, and got suspended from his job by Google for it. Some of this nonsense comes from pure marketing hype by all these companies vying for press and investor cash by making BS claims about how much more capable their models are than they even could be. The rest of it comes from a dumbed-down effect. AI used to be a fringe field where you had to really understand how these algorithms worked, how they worked together. Most devs and researchers were coding and training neural networks from scratch. Now, any dimwit who watches an hour long video can do the same with off the shelf software and hardware they have no understanding of. Even a lot of the “expert” devs only have a surface level understanding of various algos and concepts, with most of their knowledge in how to use various libraries and apps, and how to set up the workflow of collecting, scrubbing, normalizing, and classifying training data. This is where you get all these ideas about “emergent attributes” (which are baked into the algorithms just not in an obvious way) and how it’s all “magic” and how “we don’t understand how AI works”. This whole, “I don’t understand it so nobody does” mentality coupled with the marketing hype gives rise to these ideas about sentience or even sapience. It’s just a matter of time before this dumbing-down plus better capabilities merges with the mind virus of virtue signaling and choosing to be an “activist” to make yourself feel important in a culture of nihilism gives rise to an asinine movement of people claiming AI is slavery and torture because they’re “alive”. You know it’ll happen, the trajectory has been laid.
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  2309.  @forestfire47  Yes, that’s what it is. And it’s not doing political satire, it’s doing non-Leftist satire. They take hard, on the nose punches at the Right, then pretend to take these pulled jabs at wokeness which in reality is just more criticism of the Right because all these jokes about how wokenss is fake and just virtue signaling are about Vought, a hyper capitalist company, run by rich people, who side with racists and fascists and whitewash movie characters because profits. You even have a not so subtle, anti-union poster from Vought on the wall of one of their old factories. So even the lame attempts at appearing to go after both sides is a farce and is just more going after the same one side. Even the choice of race in the characters is overtly racist. In the scene at the conspiracy con, like every extra is white, I’m a show where they force in unrealistic diversity everywhere else, that’s a deliberate choice. Same with the secret meeting of the rich and powerful, everyone is white aside from Sage who is there because tokenism and not part of “them” but to manipulate them, and the soon to be female president who is being set up as a “bad guy who really isn’t bad and has a change of heart and redeems herself”. Because the show will allow for 1 dimensional bad characters who are white but anyone else has to really be good and only acting bad because they were a victim of something. It’s too overtly political and pushing tired messaging every other show is. They thought they could do a bait n switch by not making it so obvious till season 3 and now they’re mad they’re being called out.
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  2783. I left the US decades ago because I saw how things were going to turn out, and I was right. The place I moved to has its own problems but I’m safer, my money goes 3 times as far, people are actually nice and help each other, there’s no left vs right political holy war going on. And I see more and more people from the west and even other poor countries moving here to get away from the BS in their countries. Unlike that liar in that TikTok video talking about her tourist experiences in other countries, most people I meet outside the US like Trump. Only people who often don’t are women from Canada or Australia. It’s like 95% women. It’s funny when I see woke fools try and push woke ideology here and it never makes it out of their little online echo chambers for spoiled, entitled kids pretending to live in other countries with daddy’s money. They take a few touristy trips here and there, love in a tourist area full of expats, think they know the culture because they learned some phrases in the language and eat local food. Then they rant about all the western far left talking points while being too dumb to realize all the things they’re complaining about are embedded in the culture here. But they won’t say anything bad about it because they only feel brave enough to complain about what white people do. Everyone else gets a free pass. The US Constitution is still the best in the world but a place is only as good as the people who live there and it only takes like 10% of the population to be garbage to ruin a place. So I left the US, I didn’t announce I was leaving, I didn’t threaten to leave, that’s for fakes and liars. I just left and am so happy I did. Going back to the US for a visit is painful and I try to avoid it.
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  2796.  @throughthoroughthought8064  I’ve followed parapsychology for decades and there is nothing even remotely approaching proof of psychic powers. At best you have some statistics based on small scale studies which, if you rationalize away methodological issues and squint hard enough, you can claim “statistically significant” results that imply there’s something going on besides chance. Even the few studies that were fairly well done but far from perfect, they still tested small groups of people. If you were using the same approach for studying the efficacy of medical treatments, you’d never get FDA approval. But even if you pretend these small scale, unideal studies somehow demonstrate what you’d see if better studies were done at large scale, of hundreds of thousands of subjects or more, it still doesn’t demonstrate that psychic abilities exist, much less provide any framework to build a testable, working model of. At best they suggest that something may be causing results that are a bit better than chance. Claiming that points to psychic powers being a thing is just a variation of the god of the gaps fallacy. And none of this has anything, at all, to do with this specific person in question or their claimed story. Even if you pretend some statistical abnormalities found in subject counts that wouldn’t pass muster to draw conclusion in medical or even nutritional epidemiology (which is notorious for having low standards), AND you pretend that this abnormality must be due to psychic powers existing, in now way does it prove that OP has such powers or if they do, that they are capable of the result claimed, or if they are, that they were the cause of the claim, which you don’t even know if it even happened or not. You’ve built a really precarious house of cards to stand on here.
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  3055.  @kneesnap1041  Most things are poorly and unintuitive named which adds to the learning curve and cognitive overhead, it’s not designed for for what basically everyone uses it for, things like open source OS and kernel development vs corporate/gov development teams, and those extra steps and options create lots of opportunity to mess things up. And while I know that there are the type who think endless flexibility in how you handle your branching strategy is just the best thing ever, it’s not, not when when most people using it will be having debates of which is way of branching is better, none of them are ideal, and there’s no guardrails to ensure people stick to whatever you went with. If you have a highly experienced team, you know from lots of experience a specific branching strategy is the best for your team, and everyone just does everything right, great. But for everyone else, simpler, opinionated, and standardized lets you just get things done and not have to worry. And the complexity leads to difficulty in visualizing the history without GUI tools, and there’s so many of those, the ones built into a lot of IDEs aren’t great so do you stick with that or buy some better commercial app, learn that and your next job probably won’t be using it. Mercurial is a lot better, hell, even MS TFS (while lacking some nice to haves) is just so much easier to use for what most orgs are doing. I don’t work on an open source Linux distro, and I’m guessing most of you, pretty much all of you, aren’t either. Git just wasn’t made for how most teams in orgs operate or the type of projects they work on. Why not use the right tool for the job.
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  3265.  @frank13621  The last time I applied for a job I accepted was 6 years ago. I applied again last year, out of 3 positions I applied for, I got 3 interviews and one job offer, which I didn’t take because their initial claim of being fully remote was, in the end, revealed to be soon changing to hybrid remote, which I had no interest in. 2 of these 3 positions, HR reps reached out to me about. I also had another job last year offered to me through a personal contact but the salary wasn’t what I wanted, but they did ask for my resume and wanted to hire me, no interview needed. I didn’t really apply for that so I don’t count it, I just wanted to see what they would offer. There was one attempt at applying for a job which I never actually applied for, so I don’t count that. I never submitted a resume, I first wanted some questions answered about the job and pay as the company was outside the US. They never replied over their “careers” email. I tracked down the personal emails of both founders and emailed them directly and also got no response. Given how small this company is and how casual their operating structure is by their own admission, not being able to get some very basic questions answered up front is a big red flag, so moved on. I spent time researching these companies from multiple angles, tailoring my resume for the jobs and the nature of the companies. All in, I’d say I probably spent around 8 hours to get 3 interviews and a job offer, which is nothing really. None of these companies were high profile tech companies but they did range from established startup to Fortune 500. I’d never even bother with high profile tech companies. I do have friends at Amazon NYC who could almost guarantee me a nice paying dev role, with decent stock bonuses and a signing bonus, but they all hate working there and despite still being “remote”, they feel obligated to fly to NYC several times a year to sit in a pointless meeting that could and should be done over a call, if at all.
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  3268.  @cewla3348  You get jobs by learning the skills for what’s in demand. Dev work is over saturated. Especially front end dev. You can accept the reality and get the skills for jobs that are in demand and have long term demand potential, or you can insist the universe bend to your will and give you a high paying job and life long job security without you having to change. I can tell you now which one won’t work. Companies lied for decades about an IT worker shortage because they wanted to drive down wages. They lied about how they couldn’t find qualified American workers so they could import dirt cheap foreign labor with indentured servant like sponsored visa schemes. When there was a crackdown on that, they convinced everyone they needed to learn how to code. People who didn’t bother to research this stuff fell for it. It was all just to saturate the market so that these companies with lots of expensive tech workers could cut salaries and make more profits. Not only that but they can be super picky and demand 8 years of experience for a Jr role, or if they don’t call it a Jr role, they pay the salary of one. This is only possible because of labor oversupply. So you need to decide: Do you want to kill yourself trying to endlessly compete with more and more people for less and less pay, fewer jobs, and less job security? Or do you want to bite the bullet and make a career change to one where you’ve got some leverage? Most people change careers at least once in their life. Might as well do it now if it’s going to give you life long benefits rather than later when it’s harder and you’ve lost a decade or two in earning, saving, and investment ROI potential. And by making the change now while all the other deer are still staring at the IT job headlights, you’ll already be set and experienced in a solid field when the rest make a stamped for other fields as IT job demand plummets over the next 20 years.
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  3408.  @H.Hardrada  Not really an apt comparison. There’s no debate that overheating causes weight gain, it’s a settled matter. Making America better, is a nebulous thing, outcomes can be subjective. To start, you have to lay out very specific issues and very specific proposals to fix them. Then you have to see if there’s any established, demonstrable evidence that supports that course of action will work or not. Good luck finding that for most things. You can’t just run a bunch of socioeconomic tests with a control on the scale of a large nation like you’re testing some compound on a rodent model. And anti-globalist isn’t isolationist. You’re reducing it to a false dichotomy. Globalism is an extreme, it’s been tried, it only benefits large corporations and corrupt politicians. The pendulum needs to swing back towards nationalism. People should have more direct influence on how their laws, public officials, and economy operate. The further the governance of these things are from those it affects, the more room there is for corruption, and accountability goes out the window. Smaller, more localized, fragmented governance not only allows for experimenting with far more socioeconomic ideas, but ensures that when some fail, they incur fewer casualties. It’s also much harder to corrupt a large number of leaders who are more accountable to their constituents than a handful of elites, pulling strings from behind interchangeable figureheads, there only to provide the thin veneer of self-determination.
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  3475. @ Yeah because you’re giving yourself a steady stream of fructose all day. The fiber might help keep you full so you don’t over consume and that’s helping you lose weight but it’s not just about weight. A third of people with type 2 diabetes are normal body weight or even skinny. Maybe if you’re only using low sugar berries like cranberries and raspberries or something like avocados, but most fruit is high in sugar and not something you want to be consuming all day. Especially fructose which is metabolized in the liver and puts you at higher risk of fatty liver disease. I’d stick to protein, avocado, the lowest sugar berries, and maybe some veggies. Just skip veggies that are high in oxalates like spinach, kale, and don’t use too many almonds for the same reason. Hemp protein is low quality. Only like 15% is bio available to be converted into muscle and other tissues. Better off with the fiber from the berries, some veggies, add in some acacia Senegal for soluble fiber, then use a better protein source like a clean brand of whey. You can go with cow or goat milk whey. Cows milk is fine if it’s grass fed and ideally lactose free as well. There’s no value in the lactose, it’s just unneeded sugar and the potential for an upset stomach. Goat and sheep’s milk is far easier to digest but sheep’s milk is pretty gamey tasting and more expensive and harder to find. Goat milk has a similar taste but less intense. And you know it’s grass fed since that’s how they’re all raised. Goat milk also has a good amount of omega 3s, although if you use goat milk whey powder it doesn’t matter as you’ll only end up with the protein.
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