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Cake day: June 9th, 2023

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  • It is 6w before power supply losses and then a tube that is likely under 20% efficient. The primary thing that gets you with welding is the fraction of a second before an auto darkening lens activates. It is a tiny amount of time, but it adds up. Or all those times you accidentally touch the tungsten to the pool with tig. Welding has a wide spectrum, but it is the power that matters most here. The frequency and power are two separate and unrelated things. Like your microwave and WiFi are both 2.4 GHz machines. Your WiFi in your home router is limited to 100 milliwatts and is totally harmless. Your microwave needs a Faraday cage built in to avoid cooking you from the inside out because it is likely around 1500 watts. At 220nm the frequency doesn’t pass through skin or eye fluid and the power output of the light is low. Seriously, try getting into things like telescope filters where you’re trying to isolate certain frequencies. It is challenging at these frequencies to find anything that is transparent. Of all of my science books, my optics handbook is by far the largest and hardest for me to follow. That isn’t saying much, but I have built my own telescope electronics and eyepieces, along with hobby electronics, designing and etching circuit boards and photolithography using various UV lights I have built. Six watts is nothing major. I would be more concerned about how limited of an area one light can cover.







  • j4k3@lemmy.worldto196@lemmy.blahaj.zoneRule
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    2 days ago

    It’s Mi Keat Thing?

    I feel sorry, he has one ‘Ai’ fat fold rule - the fingers gave it away first, on top of just not feeling quite right, intuitively. The right hand index finger was in a transitional state at the step/config where this was stopped. The thumb was also too long. There are some rendered sources in the generative path that are softening some features and simplifying the lighting complexity. If it is your gen, try excluding “source_unknown” or just “unknown” to the negative. Adding LoRAs for background complexity will help with such details even if you prompt for a simple portrait studio background. I have not been able to get better jeans in pony reality or flux though. They all look rendered like this.




  • You need to clean out the crumbs tray before you do this, and then wash it after. Make sure that the inner grating does not have anything stuck after too.

    Toasters are only intended for dry bread. Inside they are usually just a very simple timer chip and a small 2 piece transformer. When the lever is pulled, part of that transformer is connected using a piece of steel. There is a momentary switch that powers the timer circuit which then connects the transformer holding the steel in place due to the magnetism. When the timer stops powering the transformer, it releases the steel when the magnetic field collapses.

    When the circuit is connected, the power through this small transformer is traveling through a nickel-chromium ribbon wire on both sides of the slots for bread. This wire is just wound around some mica sheets that can handle high temperatures. As far as the mica and nicrome wire, this construction style is used in most consumer quality devices. You’ll find this in hotplates, hair driers, curling irons, and toasters.

    Note that, the transformers used in the timing circuit of toasters are not the isolated type. The nichrome wire is connected to the live mains circuit when powered.

    I say all of this to make the statement: fundamentally, it is just a heating element. The fact that the element is inside a form factor is rather irrelevant. The relevant part is that the wiener likely contains fat and liquids that will come out with heat. If these were to squirt onto the mica or nichome wire it would be a problem that must be remedied with a tremendous amount of work or it could leave traces that might cause a fire later. If these juices got into the circuitry, it will likely destroy them and ruin the toaster. The placement of this circuitry is likely somewhere where an issue is unlikely, but all I can do is speculate. The engineers that designed the thing likely were not given a if-wiener-insertion constraint, and I don’t think that is a UL listed thing.

    Ultimately, you have to play the engineer and determine the cost to risk given the known and potential factors; it is just a simple heating element. This is only slightly more complex of a situation as a cave person’s if-campfire wiener insertion conundrum. The plastic molding and appliance form factor aesthetics are irrelevant.



  • I don’t use perplexity, but AI is generally 60-80% effective with a larger than average open weights off line model running on your own hardware.

    DDG offers the ability to use some of these. I use a modified Mistral model still, even though its base model(s) are Llama 2. Llama 3 can be better in some respects but it has terrible alignment bias. The primary entity in the underlying model structure is idiotic in alignment strength and incapable of reason with edge cases like creative writing for SciFi futurism. The alignment bleeds over. If you get on DDG and use the Anthropic Mixtral 8×7b, it is pretty good. The thing with models is to not talk to them like humans. Everything must be explicitly described. Humans make a lot of implied context in general where we assume people understand what we are talking about. Talking to an AI is like appearing in court before a judge; every word matters. The LLM is basically a reflection of all of human language too. If the majority of humans are wrong about something, so is the AI.

    If you ask something simple like just a question, you’re not going to get very far into what the model knows. Models have very limited scope of focus. If you do not build prompt momentum into the space by describing a lot of details, the scope of focus is large but the depth is shallow. The more you build up momentum by describing what you are asking in detail, the more it narrows the scope and deeper connections can be made.

    It is hard to tell what a model really knows unless you can observe the perplexity output. This is more advanced, but the perplexity score for each generated token is how you infer that the model does not know something.

    Search sucks because it is a monopoly. There are only 2 relevant web crawlers m$ and the goo. All search queries go through these either directly or indirectly. No search provider is deterministic any more. Your results are uniquely packaged to manipulate you. They are also obfuscated to block others from using them for training better or competitive models. Then there is the anti trust US government case and all of that which makes obfuscating one’s market position to push people onto other platforms temporarily, their best path forward. - criminal manipulators are going to manipulate.









  • Not saying I have the answers, but I typically attack the person’s desire for oversimplification and binary stupidity. Like, “Do you feel like this question encompasses all bathroom related issues?” It gives me the time to think, while also assessing their vulnerabilities from an unexpected redirection. I ultimately attack their confidence in forming questions by adding edge case exceptions to their simplified outlook.

    When someone poses a question like this, the are telling you that they lack depth. They do not have a good grasp of scales or complexity. They also lack the self awareness required to effectively empathize with others. This is a vulnerability that they have exposed. By exploiting this vulnerability, you invalidate their argument, take control of the rhetoric, and you increase the chance that their insecurity motivates growth of their self awareness at some later point.