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Joined 3 年前
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Cake day: 2023年6月15日

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  • Many people seems to praise metal reels like you do, I will buy one at some point but I can’t imagine loading a soft or curly film without the help of a ball bearing …?

    Like what prevents it to slip backwards ? How to avoid touching the negative surface with my hands…

    Think about a metal tape measure. Its a long piece of floppy metal, but can stand nearly straight when held horizontally for many feet (or CM). Its because the metal is curved. When loading the film you do the same them. You hold the film at the edges and squeeze it a bit so it has that same curve as a tape measure. The metal reel is slightly narrower than 35mm film so the film goes in easy when curved, but when it gets to the binding point in the reel it expands out becoming wider, where it gets “caught” by the edge of the wire reel.


  • As a long time tech user within about 5 years of retirement, I don’t quite agree with this for a couple of reasons. Tech is fine if its tech that serves me. I’m certainly not going to be doing JIRA updates in retirement, but I’ll absolutely use a web browser, word processor, and probably a coding environment for my own personal projects. Retrocomputing is much more appealing to me too.

    Also, I think most folks in IT have no idea how hard farming actually is, both mental and physically. Farming is really hard work, and having to manage some of the same annoying things we deal with in IT such as following complicated regulations, dealing with asinine people in power over you, and delivery dates.




  • But inexperienced coders will start to use LLMs a lot earlier than the experienced ones do now.

    And unlike you that can pick out a bad method or approach just by looking at the LLM output where you correct it, the inexperienced coder will send the bad code right into git if they can get it to pass a unit test.

    I get your point, but I guess the learning patterns for junior devs will just be totally different while the industry stays open for talent.

    I have no idea what the learning path is going to look like for them. Besides personal hobby projects to get experience, I don’t know who will give them a job when what they produce from their first efforts will be the “bad coder” output that gets replaced by an LLM and a senior dev.

    At least I hope it will and it will not only downsize to 50% of the human workforce.

    I’ve thought about this many times, and I’m just not seeing a path for juniors. Given this new perspective, I’m interested to hear if you can envision something different than I can. I’m honestly looking for alternate views here, I’ve got nothing.


  • The cuts to NOAA aren’t because trump doesn’t want people to know the weather. They’re cutting NOAA so that the only way you can get weather info is to pay one of his cronies to get it:

    "Barry Lee Myers is an American attorney and businessman who was the chief executive officer and general counsel for AccuWeather, a privately owned for-profit weather-forecasting company founded by his elder brother, Joel Myers.[1] As an AccuWeather executive, Myers lobbied unsuccessfully to restrict the National Weather Service, a governmental service which provides free weather forecasting, from providing the service and competing with AccuWeather’s business.[2]

    In 2017, Myers was nominated by President Donald Trump to lead the National Oceanic and Atmospheric Administration (NOAA)."

    source



  • It won’t replace good coders but it will replace bad ones because the good ones will be more efficient

    Here’s where we just start touching on the second order problem. Nobody starts as a good coder. We start making horrible code because we don’t know very much, and though years of making mistakes we (hopefully) improve, and become good coders.

    So if AI “replaces bad ones” we’ve effectively ended the pipeline for new coders to enter the workforce. This will be fine for awhile as we have two to three generations of coders that grew up (and became good coders) prior to AI. However, that most recent generation that was pre-AI is that last one. The gate is closed. The ladder pulled up. There won’t be any more young “bad ones” that grow up into good ones. Then the “good ones” will start to die off or retire.

    Carried to its logical conclusion, assuming nothing else changes, then there aren’t any good ones, nor will there every be again.



  • Its been a looooong time since I developed my own film (which was also black and white), but from my experience, the plastic reels were always worse than the metal reels. I always used something like this and it worked very well. Little difficulty getting it on the reels in the pitch black dark.

    I had to practice in daylight a couple of times with prior with developed (or scrap) film, but once I got the technique it was very easy to replicate in the dark.




  • The problem is I hate AI. I hate every fucking thing about it. Its primary purpose, regardless of what utility is gained, is spam.

    You are describing one type of AI, that being Generative AI. Even more specifically, Generative AI from publicly trained models, examples being ChatGPT, Claude, and Grok. If you hate those, don’t use those. This isn’t the only AI that exists.

    We’re getting into data science here, but you can build and train Machine Learning models exclusively on your own data. So no theft/spam contamination here. If your needs are in the Generative AI space, you could even build and deploy your own Fine Tuned model from your own data on top of one of the public models, so it would have knowledge of your business or industry.

    All AI incarnations are just tools. You don’t start with a tool. You start with a problem to solve, and you use a tool to assist or make it better. So the beginning of this journey is asking the question: “What problem are you trying to solve?”





  • When the solution to the problems are ‘low prices sell more product’ and literally every company seems to be ignoring that

    Its not that simple. Selling more product at a lower price may not result in higher profits. These companies generally don’t care about sales as much as they do profits. Selling 10x the amount of product, but at break-even or a loss would be worse to the company than it is now with their declining sales. PepsiCo’s problem as I see it, is PepsiCo makes only a few products (some of their minor food brands) that would actually be a necessary purchase to live. Everything else they make is a luxury that people can skip if they can’t afford it.

    Everyone is getting squeezed with rising costs in housing, transportation, actual food, and medical care costs that can’t be skipped, so it is PepsiCo products (and brands like them) are the first things we cut out.