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Joined 3 years ago
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Cake day: July 2nd, 2023

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  • Tesla is one company run by a fascist idiot. He decided to market regular driver assistance features as “auto pilot” and idiots think they can sleep in the car while it drives them off a cliff.

    Most modern cars have some form of adaptive cruse and lane assist. My car (not a Tesla) has lane centering where it will follow the lines on the road along with adaptive cruse and makes highway driving way less stressful, but you still have to keep hold of the steering wheel and be ready to take over as it’s far from perfect.

    It will sometimes follow off ramps and when lanes split or merge with odd lines it will lose tracking, but as long as you pay attention I’ve not had any issues like some describe with the wheel “jerking hard” to randomly turn. I literally just tighten my grip when I feel it wanting to drift toward a different lane or off ramp and it will keep going straight.

    The tech isn’t inherently dangerous if people use it correctly.

    As for ICE cars catching fire, they literally do. Not like the movies but an accident that is bad enough and there is a fuel leak that has a high chance to catch fire. Fuel lines can also dry rot or the 12V system can fry itself if there is a fault in a place that won’t hit a fuse.

    Also a quick google: https://www.evengineeringonline.com/did-you-know-ice-vehicles-pose-fire-risks-60-times-higher-than-evs/

    Gasoline and diesel cars experience 1,530 fires per 100,000 vehicles, compared to just 25 fires for EVs.

    That’s from over a year ago, but again goes to show that gas cars catch fire orders of magnitude more often per capita. Oddly enough, hybrid shows over twice the rate of non-hybrid ICE apparently due to them being more complex than traditional ICE or full EVs.


  • Solid state and sodium ion are better technologies just around the corner

    They’ve been “around the corner” for nearly a decade. While the tech is promising, it has yet to really be scaled up for mass market. Also, while I agree lithium has it’s risks, but so do ICE cars and a lot of things we deal with on a day to day. Think of how many lithium batteries exist in the world and how few catastrophic failures there are.

    You hear about EVs batteries catching fire because it’s a new technology and corporate media is in the pocket of the fossil fuel industry. ICE cars catch fire all the time, so much so that it’s rarely if ever reported on, and only local news if that. Meanwhile every EV fire is a national story because it’s novel and they want to spread misinformation about the tech.

    I hear some data centers are using jet engine turbines

    Specifically, Twitter AI/Grok is poisoning Memphis, TN because the local infrastructure cannot supply all the power the data center there “needs” (read: wants). They are illegally running diesel generators that are only meant to be used in emergencies because they are so bad with their emissions.

    The local neighborhoods have had countless health issues and people have literally died from them. Musk is killing people so his slop machine can generate child abuse material. Also, the neighborhoods in question are prominently black, which adds a whole extra dimension of racism on top of the “fuck the poor” mentality he has.

    why Trump relaxed coal and oil regulations

    That’s not why he did that. He did that because he is bought by the same fossil fuel executives. He’s done more damage to our energy infrastructure because he’s killed a ton of projects to get renewables deployed.

    He also has a personal grievance against wind power, or as he likes to call them “windmills”, because he didn’t like the few off shore ones that he could see from his golf course somewhere in the UK.

    The US was poised to be the leader in renewable energy and instead the corrupt politicians, on both “sides” mind you, decided to stifle the innovation on both renewables and EVs, letting China become the current leader.

    He and the rest of the fascist have hindered renewable adoption in the US because of their corruption. Rather than be energy independent we are forced to rely on fossil fuels and on top of that we actually export most of the oil we produce because “free market”, as companies get more money selling it abroad than domestically.

    So we import oil they make more expensive by tariffs and illegal wars while they prevent us from reducing our reliance on said oil and allow private companies to profit off of oil we produce by exporting it, so we can’t even be energy independent with our own oil.

    Also, they fearmonger about China “beating us in AI”, when outside of Deepseek there hasn’t been any big revelations from China and Deepseek was only a big thing because US companies were not innovating but brute forcing the tech. I’m sure China is still doing research on the tech, but they likely understand the limitations of it and don’t have the private investors inflating a bubble hoping/wishing it can replace workers.

    So to recap, we are wasting tons of resources on “AI” because companies want to try and replace workers and they use fearmongering about China to excuse the waste while they ignore the fact that China is kicking our ass when it comes to EVs and renewable energy.


  • Even if that is the case, I would argue the grid could sustain people charging EVs at various times during the day or setting up off-peak charging schedule than it can sustain all the AI slop being generated 24-7.

    Yet the people I hear complaining about the theoretical load EVs could technically put onto the grid have nothing to say about the AI data centers that are actively raising energy costs and demanding more power than the local infrastructure can actually provide.

    And really, it could sustain if we would have leadership that would support efforts to do so instead of trying to hinder renewables deployment in favor of more fossil fuels that are also going up in price because of their bullshit.





  • As someone who grew up with Fahrenheit, it’s an arbitrary scale. 0 is the “coldest thing” that he could create in a lab at the time, basically a bath of ice and salt water, 100-ish was supposed to be the temperature of a healthy human body. They are unrelated things. It has nothing to do with “what we feel”, people only think that because they grew up with it. The same can be said for all imperial measurements because there is no other way to say that 12 inches to a foot and 3 feet to a yard is “intuitive”.

    Celsius putting freezing at 0 and boiling at 100 (at sea level) are related to each other because it’s measuring the temperature of water the entire time and then setting that as a the literal metric we use to measure other things.

    I switched to Celsius for a couple of years and after going through a couple of seasons or two I had an intuitive feeling for what a value would feel like. It made perfect sense. I only stopped using it because my phone switched back one day for some reason and I was tired of having to convert to freedom units to avoid getting odd reactions from people.



  • LLMs have a use case, it’s just really limited and the vast majority of what companies, and people broadly, use it for is either not the best case for it or not even something it can/should do.

    If you know how to use them they can save time. You still need to validate everything it gives you, but as a developer I can use one to generate small code snippets or give it documentation and ask questions as a quick reference.

    But these are not automation tools. They are not worker replacements. and they aren’t replacements for research even if they can get you started on research…

    LLMs, and neural nets in general, can never be AGI no matter how much companies wish it could be.


  • Which is one of the few things these things can actually do because they’re entire thing is language processing.

    Basically put in a vague or comprehensive description of what you are trying to do or trying to find. It can generate a few queries based on your input and do a handful of searches then give you the results and highlight which ones might be the most relevant to your input.

    But, that still require traditional, and specifically deterministic, search.

    The way people blindly trust it’s output without any actual search or additional context is the worst way to use it. Might as well ask a magic 8-ball.


  • I like playing around with them occasionally, but I only use local models. I cannot stand all the cloud stuff in general and with the way neural nets work you can get as good or better results out of a smaller/more narrow model and the same applies to LLMs.

    The massive models the big companies are putting out there are generally just bad. Even if it can occasionally give you accurate output, for whatever it is you are asking it to do, it uses way more power and resources than reasonable and you could have found what you were looking for with a simple web search.


  • Lithium Iron Phosphate (LiFe-PO) are actually really stable. Way less likely to catch fire in thermal runaway and don’t lose capacity as easily.

    They just aren’t very energy dense, so you need more weight per wh. They also operate at a lower voltage per cell which means they charge slower.

    They are used in short to med range EVs already, but the lower capacity makes it impractical to put enough for longer range EVs.


    As an aside, I would argue that for the majority of people a large capacity EV battery is a bit of a waste. Mine is ~70Kwh, give or take. In optimal conditions my car estimates 240-250mi at 100%. Over the winter it’s showing anywhere from 140-180mi at 80%.

    I moved cross country right after getting it and drove it 1000 miles. It took a bit longer, than it would in a gas car, but it was doable. Just have to plan segments to get to the next charger and try to charge to 100% with level 2 charging (240v AC) if you can when you stop for the night.






  • Even if it was in good faith: 3D printed guns are not a problem. Even if you made one it is going to jam up very quickly due to softening and melting, if not just explode all together.

    It would be easier, faster, and more effective to build a gun from things sourced at the local hardware store.

    Even then, If someone is going to commit a crime with a gun they are unlikely to build it themselves. Most guns used in crimes are actually legally purchased, purchased at a gunshow, or purchased on the black market.

    Anyone 3D printing a gun is doing it as a novelty. Because of that I don’t see this as a second amendment violation. This is blantantly a first and fourth violation.




  • And largely unenforceable. Like, it can only really block the sale of prebuilt, proprietary crap like Bamboo, but most of these things are built out of common parts that are used for a verity of applications and there are countless completely open source printers you can just built from sourced parts that this literally cannot apply to.

    Even for most of the prebuilt or kits you get you put open source firmware on it. They can boot lock the board that comes with it, technically, but the board is easy enough to replace on most printers and it’s a standard micro controller and/or raspberry pi nowadays.

    Half the time people who get those kits end up replacing various components to customize for their use case. I have a Sovol SV08 that I put stock Klipper on and want to do the multi-print-head mod someday. I’ve even considered replacing the main board with a more powerful one so I can run higher microsteps without overloading the processor.