Thank you finkler! I sure will :)

If you decide to get a Dyna, you can start off with a cheap hand torch for a month or two to decide if you like it enough to spend on a more expensive induction heater. The Dynacup IH is 55-65$ USD and the inspire wand is often on sale for 90-100$usd on dynavap site. I share your concerns about fire and dont like filling butane so I went for the wand as first upgrade.

Some of us can handle both

Theres always going to be some imprecision with baked goods. Just try your best to cut it apart equally and hope it all averages out. If you want to get scientific and exact you should put the cannaoil in pill capsules.

Hey bizzle. I discovered the art of bubble hash making this year and love it. I’m not a grower so I only process an oz of cheap shake I bought online at a time. I shake it up in mason jars and strain with bubble bags. Its so economical compared to buying mid grade bud if you just want to get high or relief.

Its a bit of a laborious process. The marson jar shaking gets tiring. Would like to automate the mixing somehow. After a while I stopped using all the layers of bubble bags and just collect all of it with the finest bag. I had a hard time keeping all the different hash grades seperate. Also, Im lazy and couldn’t care less if my hash is full melt or not.

Each time I learned something and now it feels like I can wring just about every trichrome and oil crystal out of an OZ with maximum efficiency.

Dynavap was my go to with bubble hash. It has no batteries you can butane torch it (not a regular bic lighter, a jet flame torch) or use electric induction heater. It will get hot enough to properly vaporize the hash. The metal dynavaps are indestructible but I like the glass ones for thermal insulation can’t stand my fingers getting hot.

If you just want to try dynavap and can tolerate silicone I recommend the B for its great entry price point. Some people like the dynavap experience some dont so you’ll have t just try it if you are interested and see if its your thing. At least with B if you decide its not your thing not much money was lost (they have an awesome return policy too). I personally love the dynavap, it completely changed my vaporizer experience.

Ive never tried the dynacoil just put my hash balls by themselves in the chamber. A lot of reclaim does get built up inside, I’m not sure if a dynacoil would help catch some of that or if thats just the nature of smoking hash loaded with oil.

These days I found that the best way to vape hash is to put it in some vape wool or Japanese cotton, and put that in the one hitter mod for extremeq desktop vape. The first hit or two is a warm up to get the hash ball malleable, then you take the vape wool ball eith hash inside back out, rip open the ball and spread the hash all around the wool vastly increasing its surface area. After that you put the hash back in and it starts cranking out the vapor.

As for edibles, I recently made some infused coconut oil pill capsules and have been loving them. When I started out with edibles using regular butter I made lots of butter popcorn and rice crispy treats. I like the pill a caps a lot more since you can just dose them daily without any cooking involved. Its a process getting them filled up though.

Here’s the oil/butter making guide I trust. You’ll hear 10,000 different opinions on making cannabutter/oil. Differing oven decarb temp, time spent infusing, whether to use a crock pot, double boiler, or simmer on a skillet. whether or not to put lecithin in.

IMO the world works in averages. The particular process and exact timing isnt as important as its hyped up to be. As long as the good stuff is activated, gets in the oil, and isnt overcooked into cbd/cbn, you are golden. How you do that doesnt matter that much, so do what you think is best with the cooking appliances you have on hand and learn from the process.

Coconut oil in gel capsules have no taste.

Very good chart thanks for sharing

Psudo random numbers come from a special set of mathematical equations which act as the basis for natural processes. These are known as nonlinear dynamic equations.

Their outputs feed back into their inputs. They show areas of high initial sensitivity where any tiny change in input totally changes the output over time. Finally, they often show areas of different cycling behavior. The branch of math which studies them is holomorphic dynamics.

The psudo-randomness of slightly different seed values generating wildly different outputs has to do sensitivity to initial conditions. This is a property of the paramater space structures in which those random number sequences cycles through. The ‘path’ of numbers that will be cycled through is determined by starting position and the geometric topology in the complex plane which the equation generates.

By graphing and iterating psudo random equations in the conplex plane, it generates infinitely complex geometric structures called julia sets which govern how algebraic numbers cycle through pseudorandom walks depending on initial seed values and equation used. These julia sets often are fractals with infinite complexity at its borders at all scales of precision.

Julia sets have a “stuff goes everywhere” property which is the the real magic of where sensitivity to initial conditions comes from. But now were getting deep into the weeds of math nerd territory.

Simply put, you put a random number in and it spits a more-or-less random number out, thanks to wierd properties that the higher dimensional fractal hyper structures generated by the equation in the complex plane have. Those lower dimensional random number cycles are embedded into the julia set structurally.

A big issue with psudo randoms is they will always give the same series numbers if you begin the equation with the same computationally finite seed values. You could the generated sequence of numbers to work back and find the seed values and equation used to generate them. This is a serious security concern when using them for cryptography. The amount of computational work it takes to work back is massive but its doable with modern quantum super computers.

The mechanics of pseudo random numbers comes from statistical combinatorics, nonlinear algebra,fractals, chaos theory, and sensitivity to initial conditions.

True random numbers come from directly measuring physical phenomenon with sufficient randomness in their mechanics.

Things like the decay of a radioactive isotope or lava lamp turbulence have built in randomness. There is no seed or way to generate the same sequence of motions or predicting when isotopes decay.

Turbulance for example has fractal properties in its energy distribution as well as random brownian motion adding up on the atomic scale. Radioactive half life has uncertainty principal built into it. These universal operations have true uncalculatable randomness thanks to entropy, the uncertainty principle, fractals, brownian motion, chaos theory, and sensitivitiy to initial conditions.

The physical universe is the most powerful computer there will ever be. It calculates with infinite decimal precision in its mixed mathematical, statistical, and physical operations. It uses real trancendental like pi numbers with infinite non-repeating decimals, and does its calculations at the speed of causality/light.

Our best super computers will never be infinitely powerful. Our numbers need to be finite and computable to work with them and understand them. The universe could not care less if its values are finitely computable or usable for human work.

So theres fundamental limits to how random we can get through artificial computer algorithm generation using computable numbers. True randomness through physical processes leverages the universes in built infinite precision and mechanical algorithms as a black box and just measures the output result.

This post is how I discovered Tower Dungeon thank you!! Nihei must have really liked Elden Ring to use it for worldbuilding inspiration. Its a nice change of pace from the hardcore sci-fi stories. Couldn’t help but grin reading through. Take my sub, keep up the good effort!

I have a strange fascination with non credible defense post. Military people are like academic nerds when it comes to hyper specific vocabulary and in-the-know references. So many post and comments are like half ciphers where its a puzzle to piece together what is being talked about ad what the joke is.

Photoshop cs2 is free to download and probably works well on wine as its old as hell.

Edit: Correction. You used to o be able to download cs2 from adobe website. This is no longer the case.

GIMP has always been able to do what I needed more or less. Its got a learning curve and sometimes I still dont 100% how something works but for basic photo editing, meme making, and converting photos to different file types (why is .webp not universally supported yet?) Its pretty good.

When theres a problem doing something in GIMP it always felt like the issue was my own understanding of the toolset conbined with not-great documentation being given. I never felt like I encountered the limits of the program itself.

I’m sure if you are a professional graphics person who needs advanced tools theres things only PS can provide and its user interface is probably more friendly. But for me, the average joe schmo, GIMP gets the job done 95% of the time with little to no headache.

Wile Coyote was never quite the same after his final divorce. He found Rebecca with the roadrunner.

Look if your sword can’t cleave cavalry units in half with one stroke its a children’s toy. These are blades for real men. The 14th century Hungarian swordsmen were just on that shonen anime character grindset .

Yeah, I know better than to get involved in debating someone more interested in spitting out five paragraph essays trying to deconstruct and invalidate others views one by one, than bothering to double check if they’re still talking to the same person.

I believe you aren’t interested in exchanging ideas and different viewpoints. You want to win an argument and validate that your view is the right one. Sorry, im not that kind of person who enjoys arguing back and forth over the internet or in general. Look elsewhere for a debate opponent to sharpen your rhetoric on.

I wish you well in life whoever you are but there is no point in us talking. We will just have to see how the future goes in the next 10 years.

Congrats bizzle! I hope to grow my own someday

You’ll never get good at a new skill if youre too afraid of screwing up to even try or give up after one go. Dont expect perfection from yourself and do the best you can. Learn something from the process and do it slightly better next time.

Fortunately cooking is very forgiving. If you do one or two things slightly wrong just roll with it. Here is the guide I am using today for my butter. … also its text based counterpart If it goes well I’ll update.

If its your first time i recommend not using super nice flower just get some cheap shake that way you aren’t loosing much if the batch gets scuffed. After a few batches of cheap stuff you can take what you’ve learned and go for high quality flower.

The crock pot will be smelly do that part outside or in garage If you can. They have cheap propane ovens you can use outside for decarb too just need to get a oven thermometer and keep an eye on it.

A tool is a tool. It has no say in how it’s used. AI is no different than the computer software you use browse the internet or do other digital task.

When its used badly as an outlet for escapism or substitute for social connection it can lead to bad consequences for your personal life.

When it’s best used is as a tool to help reason through a tough task, or as a step in a creative process. As on demand assistance to aid the disabled. Or to support the neurodivergent and emotionally traumatized to open up to as a non judgemental conversational partner. Or help a super genius rubber duck their novel ideas and work through complex thought processes. It can improve peoples lives for the better if applied to the right use cases.

Its about how you choose to interact with it in your personal life, and how society, buisnesses and your governing bodies choose to use it in their own processes. And believe me, they will find ways to use it.

I think comparing llms to computers in 90s is accurate. Right now only nerds, professionals, and industry/business/military see their potential. As the tech gets figured out, utility improves, and llm desktops start getting sold as consumer grade appliances the attitude will change maybe?

It delivers on what it promises to do for many people who use LLMs. They can be used for coding assistance, Setting up automated customer support, tutoring, processing documents, structuring lots of complex information, a good generally accurate knowledge on many topics, acting as an editor for your writings, lots more too.

Its a rapidly advancing pioneer technology like computers were in the 90s so every 6 months to a year is a new breakthrough in over all intelligence or a new ability. Now the new llm models can process images or audio as well as text.

The problem for openAI is they have serious competitors who will absolutely show up to eat their lunch if they sink as a company. Facebook/Meta with their llama models, Mistral AI with all their models, Alibaba with Qwen. Some other good smaller competiiton too like the openhermes team. All of these big tech companies have open sourced some models so you can tinker and finetune them at home while openai remains closed sourced which is ironic for the company name… Most of these ai companies offer their cloud access to models at very competitive pricing especially mistral.

The people who say AI is a trendy useless fad don’t know what they are talking about or are upset at AI. I am a part of the local llm community and have been playing around with open models for months pushing my computers hardware to its limits. Its very cool seeing just how smart they really are, what a computer that simulates human thought processes and knows a little bit of everything can actually do to help me in daily life.

Terrence Tao superstar genius mathematician describes the newest high end model from openAI as improving from a “incompentent graduate” to a “mediocre graduate” which essentially means AI are now generally smarter than the average person in many regards.

This month several comptetor llm models released which while being much smaller in size compared to openai o-1 somehow beat or equaled that big openai model in many benchmarks.

Neural networks are here and they are only going to get better. Were in for a wild ride.

The site said thats a trumpet but it looks like he’s taking a drag on a stupid long smoking pipe to me lol