Yeah, but you are still relying on models that are going to go up in smoke when the bubble fucking crashes. As people are rightfully hesitant to pay the real price for these things, these things are controlled by mega-corps which is ultimately a bad thing because a centralized authority sets the terms of engagement with their services. They are the ones actively scraping open source projects so much that it acts as a DDoS attack, hovering up personal data of other people as if it were candy. Not to mention the other effects it is having on jobs, AI systems being central to massive data breaches, etc. A few positives don’t outweigh the massive negatives that come with the technology.
If the models all go up in smoke, we still have the code (and its bugs) - so let’s get as many bugs out as possible as soon as possible and not accept a bunch of garbage code - as has always been the case, it’s just happening faster now.
Trainers (all over the world) are behaving badly, because they can get away with it. I’m not sure where that ends up, but it doesn’t change the generated code or the discovered vulnerabilities or the fixes.
The personal data has been abused for decades already, but again - now it’s easier for more actors to abuse your personal data and mine. Maybe, someday, we’ll get serious about enforcing privacy policies and not just have completely toothless theater about it.
Yeah, personal data has in fact been abused for years, it’s just getting worse though…With all the latest breaches that have leaked a lot of shit. It’s why I am constantly fighting all the bad bills whenever they are being talked about, making sure I am a pest to my representatives. Making sure my voice and opinion are loud and clear, also making sure others speak up too. That makes a difference. We just have to fight harder for more bills with teeth and consequences for the various entities that handle data and let it spill. Like actual business ending fines and real punishments. Setting actual standards that are sane, secure, can be optimized and built upon.
That code is still suspect to me, as random code generators aren’t known for creating maintainable code…People have to audit that shit to make it serviceable, which greats bigger workloads. Breaking the spirit of mostly volunteers with such inexpertly crafted code is just not the best idea.
Yeah, Trainers do act badly because they weren’t regulated to hell and back early on…With clear and decisive lines that shouldn’t be crossed. With rules that needed to be followed, people paid for their data or compensated for hammering personal websites. A lot of the data gets data laundered and put in training sets, but can be found in models, said models can be made to reproduce phrases. It’s honestly nasty work, that should’ve never been allowed to get out of control like it has. However, it was doomed to be this way because an absolute morally compromised fool is sitting in the White House so the major US creatures…Are going to get away with a lot for as long as possible. As for other countries, well, they don’t seem too keen on regulating so called “AI” as much as they should be. They are coo coo for corporate lies.
Keep it up. I’m in Floriduh so talking to our representatives is more or less like talking to a brick wall. They may accumulate counts of how many people raise an issue, but for the most part they’re serving the federal administration’s agenda, not listening to their constituents.
People have to audit that shit to make it serviceable, which greats bigger workloads
I mostly ignored LLM code generation until around August of 2025 - it was still pretty raw back then, but it was showing potential for significant improvement, and since then there has been significant improvement. At this point, I find that if I ride herd on the LLM agent and keep it focused, structured, addressing technical debt frequently, etc. I can actually review the generated code more quickly and easily than similarly mature code by human developers. What is coming out of models like Opus 5.5 now is looking like what I would write if I had all the time in the world to cover all the edge cases, handle all the errors, do the logging and auditing and all the other “good stuff”. It does explode the code for what was a simple “happy path” thing into a much larger structure that takes the real world problems into account and gets in front of them, handling them gracefully and presenting clear messages about what went wrong when unavoidable problems happen.
I guess what I’m saying is: yeah, we’re still getting more code to review, but it’s getting easier to review and the presence of meaningful automated tests and consistent documentation and non-rotten traceability from requirements through all that is actually resulting in lower overall workloads once you look at the big picture of what it takes to maintain code in the real world with security and other issues and not just the happy insecure proof of concept and ship it world.
Breaking the spirit of mostly volunteers with such inexpertly crafted code is just not the best idea.
Yeah, if your models are giving you inexpertly crafted code, you need to keep iterating with them until it’s expertly crafted before shipping it, don’t just throw up a pull request because some bogus tests passed. And, there’s still a difference among models - they’ve all improved rather dramatically over the last 12 months, but for my purposes (coding robust, secure, safe applications) Claude’s Opus and Sonnet are still “in the lead” by a pretty good margin. Other models are better at other things…
Trainers do act badly because they weren’t regulated to hell and back
There’s not enough transparency or accountability in the global business landscape for any kind of regulation to actually work. If these regulations are going to have any chance, the first step has to be true transparency - like FOSS does with open source development repositories, and more.
people paid for their data or compensated for hammering personal websites.
Keep dreaming. It would be a wonderful world, but it’s far from where we are.
said models can be made to reproduce phrases
Like English majors can quote Keats after graduation… I’m not sure that’s proof of plagarism in their other writing.
an absolute morally compromised fool
Yeah, it’s been an interesting ride this cycle - seems like they’re trying to tear down the government institutions in preparation for something like Palpatine disbanding the Senate… destroy all confidence by blowing up every problem of the past and flaunting it as something actively done at the highest levels. If they succeed in holding power through the upcoming mid-terms the ride is only going to get more interesting…
Keep it up. I’m in Floriduh so talking to our representatives is more or less like talking to a brick wall. They may accumulate counts of how many people raise an issue, but for the most part they’re serving the federal administration’s agenda, not listening to their constituents.
Yeah, I live in a mostly Red, with Blue islands…So I understand this. Making myself a pest, at least some of the more toxic privacy bills haven’t passed. Still, it’s annoying that this is an ongoing fight.
Keep dreaming. It would be a wonderful world, but it’s far from where we are.
Clearly, that requires work, consumer rights is an uphill struggle because the capitalists have created an environment that benefits them and directly disadvantages us the consumer.
Yeah, if your models are giving you inexpertly crafted code…
I just feel that LLMs should be used for their original purpose: Processing language, not used to generate code. Coding should stay a human activity. Instead of wasting time and money training models to the point that the providers of LLMs are in economic danger; perhaps continuing to invest in humans, teaching the craft in ways that help get new programmers up to speed faster. Would be a better use of time and energy, in my opinion. As I said, I am very dismissive of “AI” and believe the craft of programming/creativity be in the hands of human beings. Unlike the peddlers of LLMs, who wish to channel skill into the hands of the wealthy and wealth away from those who have skill.
Like English majors can quote Keats after graduation… I’m not sure that’s proof of plagarism in their other writing.
I was tired, when I wrote this response, so what I mean to mention how Anthropic literally trained on copyrighted material without permission and could be prompted to produce author’s material. It’s a bit different than a Student quoting an author.
Yeah, it’s been an interesting ride this cycle - seems like they’re trying to tear down the government institutions in preparation for something like Palpatine disbanding the Senate… destroy all confidence by blowing up every problem of the past and flaunting it as something actively done at the highest levels. If they succeed in holding power through the upcoming mid-terms the ride is only going to get more interesting…
I think that the sloshing power that people realize is within our hands can be utilized/weaponized by voting, making proper choices that will disturb the current dynamic which current dynamic which empowers the Trump administration. I will be voting in my interests by choosing Blue candidates as it will upset the power balance. The bots have been out in force trying to convince both sides are bad, but clearly one side is truly worse than the others. So…We shall see how that pans out.
LLMs should be used for their original purpose: Processing language, not used to generate code. Coding should stay a human activity.
That ability to see the patterns in language, particularly the ability to distill semantic meaning and make (reasonable, if imperfect) translations from one language to a variety of others, is incredibly useful in software development activities, which are basically the task of translating natural language requests into code - usually through a multi-step process of: requirements definition, design specification, application development, test development, and constant review to ensure that all those steps are in-sync, describing the same thing.
continuing to invest in humans
Always.
teaching the craft in ways that help get new programmers up to speed faster.
I’m tempted to make a “better buggy whip maker” crack here…
Anthropic literally trained on copyrighted material without permission and could be prompted to produce author’s material. It’s a bit different than a Student quoting an author.
Yeah, so Anthropic didn’t pay for legitimate textbooks when they went to school, they bought cheap, illegal, Asian photocopies instead… wrong, sure. How do you make it right now? Lobotomize the students who read illegally copied books? Fine their parents for everything they are worth? Or, hold the students liable and garnish their wages in perpetuity?
That ability to see the patterns in language, particularly the ability to distill semantic meaning and make (reasonable, if imperfect) translations from one language to a variety of others, is incredibly useful in software development activities, which are basically the task of translating natural language requests into code - usually through a multi-step process of: requirements definition, design specification, application development, test development, and constant review to ensure that all those steps are in-sync, describing the same thing.
It’s just being used out of scope and big corporations are trying to replace their entire staff with just LLMs, which cannot write code, maintain code, and update it properly without a person being involved to audit it. The Luddite in me screams for some sanity in the space. The least offensive use is finding bugs, but humans need to fully investigate and verify if the LLM detected an anomaly or not, publishing a fix based on human written code alone from there. The LLM cannot be involved further at that point, as deskilling is an ever-present danger with those things. As the only way for these things to actually create code is to be trained on the works of humans (which is often stolen without permission by scrapers or harvested because fools willingly use LLMs for some strange reason). As LLMs cannot think, feel, or have a spark of creativity. These are just programs that detect patterns can be made to spit them out. But CEOs have been brainwashed into believing that LLMs can be considered an “AI” and the big corpos have done a good job of deceiving these overcompensated idiots with window dressing, snake oil, smoke&mirrors. I think the root of my problems lay here and why I am so hostile to them. Perhaps, if humans used them sanely, it wouldn’t be so bad.
Always.
At least we can agree on that.
I’m tempted to make a “better buggy whip maker” crack here…
I think there were some strong efforts on the front of Python to make programming more accessible as they are one of the most detailed and documented langauges out there. While base C; hey expected people to create their own shit using the base principles of the C language to create their own custom modules and shit. Other modern derivatives of C have done a better job of making the language accessible to new learners, showing off the power of the language and what you can do when you learn the language that machines understand.
Yeah, so Anthropic didn’t pay for legitimate textbooks when they went to school, they bought cheap, illegal, Asian photocopies instead… wrong, sure. How do you make it right now? Lobotomize the students who read illegally copied books? Fine their parents for everything they are worth? Or, hold the students liable and garnish their wages in perpetuity?
The consequences have already been decided for Anthropic which is a profit motivated corporation that knowingly did a bad thing that they shouldn’t have done, if I remember right the fine was $1.5 billion dollars. That money would be distributed to the affected authors who filed the claim with the courts. People who share textbooks, buy cheap ones…These students aren’t a profit driven entity, they are people who are being nickled and dimed for a costly education that is likely to make their living conditions a lot better. Sure, pirated materials aren’t legal, but those materials being shared amongst groups of college students who are looking to get educated and elevate their minds, I feel this is a lesser evil. Plus, it would be absolutely eye-watering expensive to even begin to track and punish such a smaller offense among everyday citizens. It’s honestly easier to hold a corporation accountable in this instance.
Yep…
Trump and Co are acting pretty nervous so I hope people show the fuck up and do what needs to be done, as it has to happen. Otherwise, I wonder about the future of America…
big corporations are trying to replace their entire staff with just LLMs, which cannot write code, maintain code, and update it properly without a person being involved to audit it.
As Forrest says: stupid is as stupid does.
humans need to fully investigate and verify if the LLM detected an anomaly or not
Yeah, and once detected bugs and vulnerabilities (especially those with proof of concept exploits) are really easy to verify - and people who skip that step deserve all the ridicule and disrespect they can get, because they’re ridiculously disrespecting the people they’re reporting supposed bugs and vulnerabilities to if they haven’t at least verified they’re actual and not hallucinated.
publishing a fix based on human written code alone from there. The LLM cannot be involved further at that point, as deskilling is an ever-present danger with those things.
Here I diverge from your thinking. Deskilling has been an ever-present danger since promotion to management was invented. Some managers retain their skills, others follow the Peter Principle ever upward until they’re beyond their actual abilities. The need for skills remains, and I doubt computer coding knowledge will be vanishing just because it’s gotten easier to do it faster and better than ever before. If anything, I’m learning from the LLMs what’s possible when you have so much extra time on your hands to write unit tests, document trace matricies, keep all the design documents in-sync with the actual state of the code, etc. All the things that we have been learning how to do minimally to avoid wasting time on them, now can be done maximally, and there are benefits - particularly when working with dim-witted LLM agents as front-line coders (who work really really fast.)
CEOs have been brainwashed into believing
many things over the years. Speaking of a role better suited to an LLM…
Perhaps, if humans used them sanely, it wouldn’t be so bad.
You could as easily apply that statement to automobiles, earth movers, concrete plants…
Regarding languages: they never mattered a whole lot - by the time I was out of school I had BASIC, Assembly (several kinds), Fortran, Pascal, C, C++, LISP, probably several more - and it’s all more or less the same, each with their own quirks and special supports. Mostly you just use what works in the environment you’re trying to develop for. Same for libraries and APIs… More recently, I did a fairly sizeable project in Python with Claude, but much more important than anything written in Python were the user-facing requirements. When I was tired of Python taking 2-3 seconds to render a page, I consulted with Claude and we settled on Go as the next logical target. Because the requirements and their tests were fully developed / properly exercised and maintained, the re-code from Python to Go was 100% automated, all done by Claude, and it came out flawlessly - every feature identically implemented, running from the same database, only pages rendered in 0.1 seconds max instead of 2-3. Claude assures me that the Python development went 2-3x faster than original development would have gone in Go… I wonder how true that was, or if Claude is just parroting what it read somewhere; actually, at this stage I’m 95% sure it was parroting, though the models are getting better about quoting actual estimates based on LLM assisted development.
People who share textbooks, buy cheap ones…These students aren’t a profit driven entity
Actually, they are. They are a teeming horde of individual profit driven entities who might not be able to afford an education otherwise. One might even extend that analogy to Anthropic and friends, where it was more realistic for them to ask forgiveness / restitution rather than permission. Illegal, yes. But would staying legal have been the right move?
I wonder about the future of America…
No matter what happens in November, I still wonder about the future of the US, and the world.
Which is why there needs to be a set of standards to prevent such lapses of judgement from ever being greenlight in the first place. As CEOs aren’t programmers, they aren’t really doing anything much beyond handling certain aspects of the business, certainly not producing the actual product.
many things over the years. Speaking of a role better suited to an LLM…
Meh, or just fire all the idiots and don’t let people fail upwards…LLMs aren’t sentient, they can’t take the role of a human nor accept responsibility when things go wrong.
Here I diverge from your thinking.
LLMs are just a faster way of being deskilled as by design, the corporations have designed them to be relied upon and utilized by people. To act like a crutch, I seem to remember Sam Altman wanting to make intelligence like any other utility like power and water that you pay for. This is baked into the chatbot aspect of LLMs that are pushed to everyday users and corporate facing ones as well. If one gets a promotion and isn’t involved in the work as much, but still needs to be aware of the trends in the field, they can still get educated in current changes and recertified in the field. Keeping in touch with that knowledge base, or even better trust your fucking experts and ask them for their opinions. Verify what they say against what you know and what the current tendency or SOP is.
The need for skills remains, and I doubt computer coding knowledge will be vanishing just because it’s gotten easier to do it faster and better than ever before
Once again, the problem is that things like Claude and ChatGPT aren’t simple tools, it is also a political narrative as well, designed to enable mass disenfranchisement of skilled people. To channel skill into the hands of the wealthy and wealth out of the hands of the skilled. More now that ever, it is important to learn, remain hand-coding as much as humanly possible, to not give into the use of said creations by the Nerd Reich. It is good that they forgot that documentation exists and can be preserved for people that are against their works.
More recently, I did a fairly sizeable project in Python with Claude
There is so much in the following paragraphs that not only caused me to be unimpressed, but also deeply disappointed, I can’t address all of that.
Actually, they are. They are a teeming horde of individual profit driven entities who might not be able to afford an education otherwise. One might even extend that analogy to Anthropic and friends, where it was more realistic for them to ask forgiveness / restitution rather than permission. Illegal, yes. But would staying legal have been the right move?
I will never give a corporation an inch, as they will steal a mile. Staying legal would’ve been the best thing, it would’ve made the optics a lot better for Anthropic. Corporations are regulated for a reason because they can LITERALLY throw their weight around and it matters that they stay above board as much as possible. Giving them even the smallest room or benefit of the doubt to act illegally is an insane take. I am glad they got punished at least. That is a rare thing these days, as so many corpos and CEOs dodge responsibility. I still think students are never going to approach the absolute spending power and influence that a corporation can reach; that is a scale that an individual might never reach in their lifetime unless they are born into wealth. Or get lucky in the financial rat race.
No matter what happens in November, I still wonder about the future of the US, and the world.
I can certainly agree with you on that because everything is looking so shaky because we haven’t rioted like the French do, on a scale that can absolutely terrify ever single politician in power. To make them get on their fucking knees and beg for mercy.
Yeah, but you are still relying on models that are going to go up in smoke when the bubble fucking crashes. As people are rightfully hesitant to pay the real price for these things, these things are controlled by mega-corps which is ultimately a bad thing because a centralized authority sets the terms of engagement with their services. They are the ones actively scraping open source projects so much that it acts as a DDoS attack, hovering up personal data of other people as if it were candy. Not to mention the other effects it is having on jobs, AI systems being central to massive data breaches, etc. A few positives don’t outweigh the massive negatives that come with the technology.
If the models all go up in smoke, we still have the code (and its bugs) - so let’s get as many bugs out as possible as soon as possible and not accept a bunch of garbage code - as has always been the case, it’s just happening faster now.
Trainers (all over the world) are behaving badly, because they can get away with it. I’m not sure where that ends up, but it doesn’t change the generated code or the discovered vulnerabilities or the fixes.
The personal data has been abused for decades already, but again - now it’s easier for more actors to abuse your personal data and mine. Maybe, someday, we’ll get serious about enforcing privacy policies and not just have completely toothless theater about it.
Yeah, personal data has in fact been abused for years, it’s just getting worse though…With all the latest breaches that have leaked a lot of shit. It’s why I am constantly fighting all the bad bills whenever they are being talked about, making sure I am a pest to my representatives. Making sure my voice and opinion are loud and clear, also making sure others speak up too. That makes a difference. We just have to fight harder for more bills with teeth and consequences for the various entities that handle data and let it spill. Like actual business ending fines and real punishments. Setting actual standards that are sane, secure, can be optimized and built upon.
That code is still suspect to me, as random code generators aren’t known for creating maintainable code…People have to audit that shit to make it serviceable, which greats bigger workloads. Breaking the spirit of mostly volunteers with such inexpertly crafted code is just not the best idea.
Yeah, Trainers do act badly because they weren’t regulated to hell and back early on…With clear and decisive lines that shouldn’t be crossed. With rules that needed to be followed, people paid for their data or compensated for hammering personal websites. A lot of the data gets data laundered and put in training sets, but can be found in models, said models can be made to reproduce phrases. It’s honestly nasty work, that should’ve never been allowed to get out of control like it has. However, it was doomed to be this way because an absolute morally compromised fool is sitting in the White House so the major US creatures…Are going to get away with a lot for as long as possible. As for other countries, well, they don’t seem too keen on regulating so called “AI” as much as they should be. They are coo coo for corporate lies.
Keep it up. I’m in Floriduh so talking to our representatives is more or less like talking to a brick wall. They may accumulate counts of how many people raise an issue, but for the most part they’re serving the federal administration’s agenda, not listening to their constituents.
I mostly ignored LLM code generation until around August of 2025 - it was still pretty raw back then, but it was showing potential for significant improvement, and since then there has been significant improvement. At this point, I find that if I ride herd on the LLM agent and keep it focused, structured, addressing technical debt frequently, etc. I can actually review the generated code more quickly and easily than similarly mature code by human developers. What is coming out of models like Opus 5.5 now is looking like what I would write if I had all the time in the world to cover all the edge cases, handle all the errors, do the logging and auditing and all the other “good stuff”. It does explode the code for what was a simple “happy path” thing into a much larger structure that takes the real world problems into account and gets in front of them, handling them gracefully and presenting clear messages about what went wrong when unavoidable problems happen.
I guess what I’m saying is: yeah, we’re still getting more code to review, but it’s getting easier to review and the presence of meaningful automated tests and consistent documentation and non-rotten traceability from requirements through all that is actually resulting in lower overall workloads once you look at the big picture of what it takes to maintain code in the real world with security and other issues and not just the happy insecure proof of concept and ship it world.
Yeah, if your models are giving you inexpertly crafted code, you need to keep iterating with them until it’s expertly crafted before shipping it, don’t just throw up a pull request because some bogus tests passed. And, there’s still a difference among models - they’ve all improved rather dramatically over the last 12 months, but for my purposes (coding robust, secure, safe applications) Claude’s Opus and Sonnet are still “in the lead” by a pretty good margin. Other models are better at other things…
There’s not enough transparency or accountability in the global business landscape for any kind of regulation to actually work. If these regulations are going to have any chance, the first step has to be true transparency - like FOSS does with open source development repositories, and more.
Keep dreaming. It would be a wonderful world, but it’s far from where we are.
Like English majors can quote Keats after graduation… I’m not sure that’s proof of plagarism in their other writing.
Yeah, it’s been an interesting ride this cycle - seems like they’re trying to tear down the government institutions in preparation for something like Palpatine disbanding the Senate… destroy all confidence by blowing up every problem of the past and flaunting it as something actively done at the highest levels. If they succeed in holding power through the upcoming mid-terms the ride is only going to get more interesting…
Yeah, I live in a mostly Red, with Blue islands…So I understand this. Making myself a pest, at least some of the more toxic privacy bills haven’t passed. Still, it’s annoying that this is an ongoing fight.
Clearly, that requires work, consumer rights is an uphill struggle because the capitalists have created an environment that benefits them and directly disadvantages us the consumer.
I just feel that LLMs should be used for their original purpose: Processing language, not used to generate code. Coding should stay a human activity. Instead of wasting time and money training models to the point that the providers of LLMs are in economic danger; perhaps continuing to invest in humans, teaching the craft in ways that help get new programmers up to speed faster. Would be a better use of time and energy, in my opinion. As I said, I am very dismissive of “AI” and believe the craft of programming/creativity be in the hands of human beings. Unlike the peddlers of LLMs, who wish to channel skill into the hands of the wealthy and wealth away from those who have skill.
I was tired, when I wrote this response, so what I mean to mention how Anthropic literally trained on copyrighted material without permission and could be prompted to produce author’s material. It’s a bit different than a Student quoting an author.
I think that the sloshing power that people realize is within our hands can be utilized/weaponized by voting, making proper choices that will disturb the current dynamic which current dynamic which empowers the Trump administration. I will be voting in my interests by choosing Blue candidates as it will upset the power balance. The bots have been out in force trying to convince both sides are bad, but clearly one side is truly worse than the others. So…We shall see how that pans out.
That ability to see the patterns in language, particularly the ability to distill semantic meaning and make (reasonable, if imperfect) translations from one language to a variety of others, is incredibly useful in software development activities, which are basically the task of translating natural language requests into code - usually through a multi-step process of: requirements definition, design specification, application development, test development, and constant review to ensure that all those steps are in-sync, describing the same thing.
Always.
I’m tempted to make a “better buggy whip maker” crack here…
Yeah, so Anthropic didn’t pay for legitimate textbooks when they went to school, they bought cheap, illegal, Asian photocopies instead… wrong, sure. How do you make it right now? Lobotomize the students who read illegally copied books? Fine their parents for everything they are worth? Or, hold the students liable and garnish their wages in perpetuity?
Yep…
It’s just being used out of scope and big corporations are trying to replace their entire staff with just LLMs, which cannot write code, maintain code, and update it properly without a person being involved to audit it. The Luddite in me screams for some sanity in the space. The least offensive use is finding bugs, but humans need to fully investigate and verify if the LLM detected an anomaly or not, publishing a fix based on human written code alone from there. The LLM cannot be involved further at that point, as deskilling is an ever-present danger with those things. As the only way for these things to actually create code is to be trained on the works of humans (which is often stolen without permission by scrapers or harvested because fools willingly use LLMs for some strange reason). As LLMs cannot think, feel, or have a spark of creativity. These are just programs that detect patterns can be made to spit them out. But CEOs have been brainwashed into believing that LLMs can be considered an “AI” and the big corpos have done a good job of deceiving these overcompensated idiots with window dressing, snake oil, smoke&mirrors. I think the root of my problems lay here and why I am so hostile to them. Perhaps, if humans used them sanely, it wouldn’t be so bad.
At least we can agree on that.
I think there were some strong efforts on the front of Python to make programming more accessible as they are one of the most detailed and documented langauges out there. While base C; hey expected people to create their own shit using the base principles of the C language to create their own custom modules and shit. Other modern derivatives of C have done a better job of making the language accessible to new learners, showing off the power of the language and what you can do when you learn the language that machines understand.
The consequences have already been decided for Anthropic which is a profit motivated corporation that knowingly did a bad thing that they shouldn’t have done, if I remember right the fine was $1.5 billion dollars. That money would be distributed to the affected authors who filed the claim with the courts. People who share textbooks, buy cheap ones…These students aren’t a profit driven entity, they are people who are being nickled and dimed for a costly education that is likely to make their living conditions a lot better. Sure, pirated materials aren’t legal, but those materials being shared amongst groups of college students who are looking to get educated and elevate their minds, I feel this is a lesser evil. Plus, it would be absolutely eye-watering expensive to even begin to track and punish such a smaller offense among everyday citizens. It’s honestly easier to hold a corporation accountable in this instance.
Trump and Co are acting pretty nervous so I hope people show the fuck up and do what needs to be done, as it has to happen. Otherwise, I wonder about the future of America…
As Forrest says: stupid is as stupid does.
Yeah, and once detected bugs and vulnerabilities (especially those with proof of concept exploits) are really easy to verify - and people who skip that step deserve all the ridicule and disrespect they can get, because they’re ridiculously disrespecting the people they’re reporting supposed bugs and vulnerabilities to if they haven’t at least verified they’re actual and not hallucinated.
Here I diverge from your thinking. Deskilling has been an ever-present danger since promotion to management was invented. Some managers retain their skills, others follow the Peter Principle ever upward until they’re beyond their actual abilities. The need for skills remains, and I doubt computer coding knowledge will be vanishing just because it’s gotten easier to do it faster and better than ever before. If anything, I’m learning from the LLMs what’s possible when you have so much extra time on your hands to write unit tests, document trace matricies, keep all the design documents in-sync with the actual state of the code, etc. All the things that we have been learning how to do minimally to avoid wasting time on them, now can be done maximally, and there are benefits - particularly when working with dim-witted LLM agents as front-line coders (who work really really fast.)
many things over the years. Speaking of a role better suited to an LLM…
You could as easily apply that statement to automobiles, earth movers, concrete plants…
Regarding languages: they never mattered a whole lot - by the time I was out of school I had BASIC, Assembly (several kinds), Fortran, Pascal, C, C++, LISP, probably several more - and it’s all more or less the same, each with their own quirks and special supports. Mostly you just use what works in the environment you’re trying to develop for. Same for libraries and APIs… More recently, I did a fairly sizeable project in Python with Claude, but much more important than anything written in Python were the user-facing requirements. When I was tired of Python taking 2-3 seconds to render a page, I consulted with Claude and we settled on Go as the next logical target. Because the requirements and their tests were fully developed / properly exercised and maintained, the re-code from Python to Go was 100% automated, all done by Claude, and it came out flawlessly - every feature identically implemented, running from the same database, only pages rendered in 0.1 seconds max instead of 2-3. Claude assures me that the Python development went 2-3x faster than original development would have gone in Go… I wonder how true that was, or if Claude is just parroting what it read somewhere; actually, at this stage I’m 95% sure it was parroting, though the models are getting better about quoting actual estimates based on LLM assisted development.
Actually, they are. They are a teeming horde of individual profit driven entities who might not be able to afford an education otherwise. One might even extend that analogy to Anthropic and friends, where it was more realistic for them to ask forgiveness / restitution rather than permission. Illegal, yes. But would staying legal have been the right move?
No matter what happens in November, I still wonder about the future of the US, and the world.
Which is why there needs to be a set of standards to prevent such lapses of judgement from ever being greenlight in the first place. As CEOs aren’t programmers, they aren’t really doing anything much beyond handling certain aspects of the business, certainly not producing the actual product.
Meh, or just fire all the idiots and don’t let people fail upwards…LLMs aren’t sentient, they can’t take the role of a human nor accept responsibility when things go wrong.
LLMs are just a faster way of being deskilled as by design, the corporations have designed them to be relied upon and utilized by people. To act like a crutch, I seem to remember Sam Altman wanting to make intelligence like any other utility like power and water that you pay for. This is baked into the chatbot aspect of LLMs that are pushed to everyday users and corporate facing ones as well. If one gets a promotion and isn’t involved in the work as much, but still needs to be aware of the trends in the field, they can still get educated in current changes and recertified in the field. Keeping in touch with that knowledge base, or even better trust your fucking experts and ask them for their opinions. Verify what they say against what you know and what the current tendency or SOP is.
Once again, the problem is that things like Claude and ChatGPT aren’t simple tools, it is also a political narrative as well, designed to enable mass disenfranchisement of skilled people. To channel skill into the hands of the wealthy and wealth out of the hands of the skilled. More now that ever, it is important to learn, remain hand-coding as much as humanly possible, to not give into the use of said creations by the Nerd Reich. It is good that they forgot that documentation exists and can be preserved for people that are against their works.
There is so much in the following paragraphs that not only caused me to be unimpressed, but also deeply disappointed, I can’t address all of that.
I will never give a corporation an inch, as they will steal a mile. Staying legal would’ve been the best thing, it would’ve made the optics a lot better for Anthropic. Corporations are regulated for a reason because they can LITERALLY throw their weight around and it matters that they stay above board as much as possible. Giving them even the smallest room or benefit of the doubt to act illegally is an insane take. I am glad they got punished at least. That is a rare thing these days, as so many corpos and CEOs dodge responsibility. I still think students are never going to approach the absolute spending power and influence that a corporation can reach; that is a scale that an individual might never reach in their lifetime unless they are born into wealth. Or get lucky in the financial rat race.
I can certainly agree with you on that because everything is looking so shaky because we haven’t rioted like the French do, on a scale that can absolutely terrify ever single politician in power. To make them get on their fucking knees and beg for mercy.