crudcodersare

God designing us in an emergent manner or through a static blueprint are the same thing. Someone had to create the laws, the genetic algorithm idea itself and all of these components and the environment for it to operate within never mind things like colors, matter etc. Evolutionists cant see the forest for the trees.

God designing us in an emergent manner or through a static blueprint are the same thing. Someone had to create the laws, the genetic algorithm idea itself and all of these components and the environment for it to operate within never mind things like colors, matter etc. Evolutionists cant see the forest for the trees.

It seems you may have misunderstood the original argument. The iterative approach suggests increments so minute at each step that they wouldn't significantly impact an organism's survival at any given time. Also given the extremely slow process of evolution and the relatively short number of iterations it is infeasible to suggest such a solution. If a person would like to create an iPhone it's easy to tell them to start with a shitty scrap of metal and work from there. You can make that sort of argument as a solution for creating anything but it is clearly not feasible.

Step right up to the grand spectacle of future-phobia, where every twist and turn of the labor market projections sends shivers down the spines of software engineers far and wide. Ah, the BLS adjusts its forecasts, and suddenly, the digital sky is falling. Decrease by 11%, you say? Why, that's practically an invitation to abandon ship before the great AI iceberg sends us all to the icy depths of unemployment, isn't it? But wait, let's sprinkle a little perspective into this doom-laden soup.

First off, the delightful Mr. Karpathy and the visionary Mr. Huang—prophets of the impending software apocalypse, preaching the gospel of "don't bother learning to code, for the machines shall inherit the Earth." It's a compelling narrative, rich with the flavor of inevitability and seasoned with a dash of existential dread. And yet, is it not but the latest chapter in the age-old saga of technological advancement and the cyclical panic that accompanies each new wave?

Ah, and then there's the heart-wrenching tale of the recently laid-off mid-level full stack engineer, pondering a premature career pivot as the shadow of obsolescence looms large. "To code, or not to code?" that is the question—a question as laden with uncertainty as it is with opportunity. But let's not get carried away on the tides of pessimism.

You see, dear worried souls, what we're witnessing is not the end of the software engineering profession but its evolution. The landscape is shifting, yes, but with every shift comes new terrain to explore, new challenges to overcome, and new niches to fill. The key to navigating this brave new world is not to flee in fear but to adapt with curiosity.

To the anxious and the uncertain, I say: fear not the AI overlords, for they are but tools in the hands of those willing to learn their language. Embrace the change, dive into the depths of this new digital domain, and you may just find that the future is not a desolate wasteland but a frontier brimming with untapped potential.

And to those pondering the path forward, the advice is timeless: continue to learn, to grow, and to adapt. The tech industry is no stranger to upheaval, and each wave of innovation has left it richer, not poorer. The DotCom Bubble, the mobile revolution, the rise of cloud computing—all were met with skepticism and fear, yet all have contributed to the vibrant, ever-changing tapestry of our digital world.

So, to the junior engineers, the college grads, the mid-level developers staring into the abyss of uncertainty, I say: hold fast. The industry will evolve, as it always has, but so too will you. The fundamentals of problem-solving, of creativity, of adaptability—these are the skills that will carry you through the storms of change. The future is not to be feared but embraced, for within it lies not just the challenge of adaptation but the promise of innovation and the endless potential for those brave enough to seize it.

Yes, there will be spam, as there always has been—let's not forget the golden age of email, where every click was a foray into the unknown. But here's where it gets interesting: as the floodgates open and the digital detritus begins to pile up, so too does the ingenuity of human and AI collaboration in crafting ever more sophisticated filters, verifiers, and sifters. We're not just talking about a simple spam filter here; we're envisioning a grand symphony of algorithmic alchemy capable of separating wheat from chaff with the precision of a diamond cutter.

but diving into the deep end of digital dismay, are we? Let's unravel this tapestry of concern with a flamboyantly convoluted rebuttal that dances around the maypole of AI evolution and internet content proliferation. Picture, if you will, a burgeoning digital universe, already teeming with a veritable smorgasbord of information, misinformation, and everything in between. Into this chaotic jamboree steps the latest parade of performers: the LLMs, with their glittering capes of algorithmic complexity, ready to churn out content with the prolificacy of a cosmic bakery on overdrive.

Now, the fear you've articulated, draped in the elegant garb of concern for our collective digital sanity, presupposes a dystopian future where the internet becomes a vast ocean of AI-generated flotsam and jetsam. But let's twirl that narrative on its head, shall we? Imagine, instead, a world where these AI entities, far from being the harbingers of informational apocalypse, become the architects of a new informational renaissance.

And let's not underestimate the serendipitous creativity that emerges from this chaotic cauldron of content. For every thousand pieces of nonsense, there might emerge an idea, a concept, a piece of art that could only have been born in such a fertile environment of unbridled creation.

As for the concern about LLMs training on, shall we say, less than stellar sources of information, consider this: evolution is not a straight line but a meandering path through the forests of failure and the mountains of success. Just as humans learn from mistakes, so too will our AI counterparts, sifting through the sediment of digital discourse to find the nuggets of truth and innovation.

Ok an internet rendered unusable by AI-generated content are not without foundation, they fail to account for the boundless capacity for adaptation and innovation that characterizes both human and artificial intelligence. So, rather than wringing our hands in despair at the prospect of navigating an ever-more cluttered digital landscape, let us roll up our sleeves and dive into the fray, armed with the knowledge that in chaos lies opportunity, in spam lies the seed of sophistication, and in the vast, uncharted territories of the internet lies the next great frontier of human achievement.

Oh, al_borland, living in a delightful bubble where you think your design choices are immune to the AI revolution. "Garbage in, garbage out"? Please. LLMs are learning to sift through the trash, making sense of vague directions to produce not just code, but coherent, innovative solutions. Your hundreds of decisions? LLMs are on track to replicate that intuition, tapping into patterns and precedents you're unaware exist. The unspoken wants and needs of your company? AI's pattern recognition is becoming uncannily perceptive trained on specific company datasets, codebases, domain knowledge, real time metrics in ways you never will be able to do.

Oh, holding onto your job description like a security blanket, huh? Wake up! LLMs are storming the castle, not just to play with your coding tools, but to usurp your throne of problem-solving. Your 'actual job'? About to be a footnote in the saga of AI's conquest. Dismissing LLMs is like challenging a tidal wave with a teaspoon. Adapt or become a quaint anecdote in the chronicles of tech evolution.

Honestly, thinking you can outpace LLMs with your learning curve is like believing you can outrun a tsunami on a bicycle. Your decade of tech evolution? LLMs do that before breakfast, without the coffee break. The truth is harsh—LLMs are on track to render programmers obsolete, turning your diversified skill set into a quaint relic. Face it, we're not just talking job replacement; we're heralding a new era where coding is an AI's game.

Clearly, you have your nose stuck in the past. LLMs aren't just good; they're revolutionary, making coders look like one finger keyboard peckers. They're not struggling with maintaining systems; they can be trained on specific datasets and codebases, totally mastering them in ways no human can ever hope to do, making your traditional coding seem like manual typewriting and laughable in comparison. The idea that they can't handle specificity is also laughable. LLMs are not the future; they're the now, effortlessly bridging tech and non-tech worlds, totally replacing programmers. Anyone thinking otherwise is simply not paying attention. The writing is on the wall.

Yeah the writing is on the wall. I'm a senior AI programmer for an AAA games studio that you probably know (I worked on a very famous RTS game). I have reduced the code I write by about 90% since ChatGPT 4 was released. My colleagues have also reduced their coding time similiarly. This technology is going to remove all the toil and any need to hire/communicate with junior devs. I imagine it will be the same for other seniors in the programming community. An industry where it's just seniors and LLMs within 4 years is likely, if not sooner, 2 years tbh, and if this slowly transitions to just LLMs and a small team of code reviewers on each site, that would be ideal. Programmers in my area (AI) have a lot of domain knowledge and specialization, we just use code for implementation.

So we don't care if LLMs replace coders by auto generating code. All the better for us. The people who are trying to support families ... by offering the world to write CRUD or maintaining codebases are doomed.... they are going to end up as the homeless guy on the street holding a sign saying "will code html for food"