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AI basically shows us what matters most and what doesn’t matter as much as we thought

I can’t count the number of times we’ve been told human work will be entirely replaced by AI. And this definitely rings true for anything analytical, mathematical, or text-based (writing, lawyering, accounting, coding, adjudicating, etc.). These are the first most automatable tasks that you can think of. The replacement theory is also increasingly true regarding graphic design, music and film. Yes, we still call it slop when we can see the obvious signs of artificially generated content. But that only happens if we care as much as to look in depth which 99% of humans don’t have time for. 

However, the blatant shortcomings of AI are things that, up until now, we haven’t really placed much value on, such as for example the very task for which there is a constant demand: cooking, putting food on the table. AI can’t prepare a meal. It can give you instructions and boss you around, but it can’t do much on its own. Not only that, it can’t grocery shop, and even less grow vegetables. We still have to do these things on our own or hire people (TFWs) to do these things for us. Then comes the task of cleaning and laundry, literally any basic manual labor that requires a human body to move around and do things is NOT automatable by the most advanced AI as we know them. 

In sum, AI can now make movies, but it can’t replace a hamburger flipper at McDonald’s. Yup

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Here is Michael Jackson as a Walmart cashier arguing with a customer over an expired coupon. There are thousands of Sora 2 featuring MJ vids on TikTok. I can’t say that it hasn’t been entertaining. So yeah, too bad for the movie industry. Now you have to tell your story in 10 seconds. 

@hardclips36

“we’re in october ma’am” 💔 #ai #sora #sora2 #michaeljackson #mj

♬ original sound – gaeahh

 

Reviewing secret contracts for dumping nuclear waste in Ottawa River

I’ve infiltrated some pro-nuclear communities to better understand what is going on, and I am a little confused at the moment because there are fundamental contradictions we need to sort out:

(1)  is nuclear waste and nuclear energy as dangerous as we’ve been told to believe all our lives or is it really the cleanest energy with zero safety issues that we should absolutely embrace? I see a lot of “science” being thrown around with nothing to show for, so I need to take some time and figure out which side I’m standing on.

I really want to believe that nuclear scares are a hoax and that anti-nuclear activists are “anti-science” as it is being claimed. If true, this will redefine the history of humanity, so I will keep digging. 

Some claim that Chernobyl really came around as a national park with beautiful nature and home to many protected species. So maybe nuclear accidents are a good thing for the planet? 

(2) I want to look at the contracts, and also the way they were awarded for the tritium research, making weapons for the Americans, and the dumping agreements near Ottawa river (of 100 million tons of nuclear waste), so how they were awarded, and who is profiting from these secret contracts. Some are claiming they are “not secret” so let’s see how transparent they are. 

I may petition data from the Competition Bureau as well if it is not public, to see why Brookfield is a beneficiary of these contracts and if we can kick out all Carney-affiliated companies from the deal. 

It is mentioned that the reason we need to work with Americans is because of our own’s corporations’ incompetence and corruption, in sum there isn’t a Canadian company on the map that is not in some kind of conflict of interest with the parties in power. 

It is a compelling argument and one that can be used for future lawsuits, and motions of non-confidence. 

(3) I want to review the history of Quebec’s and Ontario’s governments nuclear activity and dumping projects, as well as lawsuits, and cancer prevalence due to contaminated drinking water in the past. 

(4) the good thing with Americans is that they can be sued for billions of dollars in real courts in the USA, so in many ways they have more integrity, They also have real lawyers with real arguments, so it is time to get serious as cases against the Americans must start getting built right now. That’s why we need to see the contracts.  

it is claimed that there is an obscure authority overseeing the Americans so they don’t use our tritium and plutonium to make bombs again, so it means more data to review. How likely is it that this authority is not corrupt and in some conflict of interest themselves? 

(5) I already see pro-nuke advocates claim that it will be impossible to prove causality between the waste dumping and the multi-cancers that will come down on the population, because it will always be easy to say that they got sick due to contaminated farm water. Once again these are lawsuits that can take decades, so we need to close the doors to these arguments much in advance. 

Of course, if I find out that the waste dumping confirms my initial position as being likely to kill off wildlife, destroy the environment and cause illness, and fatalities, I will expose a point by point factum based on criteria from the 2016 genocide report that found that Canada is responsible for genociding first nations, this time to prove that the Carney’s nuclear contracts are done with the intention to genocide a large part of the Quebec and Ontario population by strategically poisoning drinking water. That was my initial impression. I truly believe Carney hates Canadians. I’d rather be wrong.

(6) we got buttload of information to review and I can’t trust AI to be non-biased. I will be looking at everything myself before taking a side. It is important to know how much nuclear waste is leaking already and what must be done to keep the Americans on a tight leash. Or conversely how to stop a genocide or prepare to be genocided. 

At the end of the day, the main question remains: how clean is nuclear energy and if it is this green then why were we told to be afraid of it.

Petition e-6636 asking to suspend American takeover of nuclear sector, to conduct a performance and safety audit of Atomic Energy Canada, and to make all details public

Music can be torture indeed

While watching the MTV awards, some of the sound felt like torture and made me intuitively think about Joseph Mangele and concentration camps, so I asked AI if Mangele was into music and choreography. Dance was absolutely not confirmed, but lo and behold Mangele was very much into music, played the violin for children before experimenting on them, and forced prisoners to play in orchestras, sending dogs to attack them if they hit the wrong notes. Among many other things…

I am just going to leave this here. Will keep digging on the dancing, but so far I’m relieved it is not mentioned. If you haven’t noticed, we landed in hell. Not sure how, but maybe 

https://quod.lib.umich.edu/m/mp/9460447.0010.103/–how-can-music-be-torturous-music-in-nazi-concentration?rgn=main;view=fulltext

here is a citation: 

“Primo Levi, in what is one of the most prominent written accounts of life in the Auschwitz-Birkenau extermination camp, recounted an incident he witnessed in the infirmary there:

The beating of the big drums and the cymbals reach us continuously and monotonously, but in this weft the musical phrases weave a pattern only intermittently, according to the caprices of the wind. The tunes are few, a dozen, and the same ones every day, morning and evening: marches and popular songs dear to every German. They lie engraven on our minds and will be the last thing in the Lager that we shall forget: they are the voice of the Lager, the perceptible expression of its geometrical madness, of the resolution of others to annihilate us first as men in order to kill us more slowly afterwards.[1]

K-Pop Dance Pose Detection AI Model

Speaking of ideas that want to be developed, I’m still waiting for a viable pose detection model to be made. It would be nice to take any dance practice video and ask AI to break down the moves per dancer and make a tutorial, like a dance prof would do. Not like I haven’t asked. At this point any rudimentary model can give you accurate legal information from any jurisdiction and any period of time. Constitution, piece of cake. Criminal law, litigation, novel legal questions, all covered. When it comes to dance however, seems like the hardest thing to do.

Since the paper on Comparative K-Pop Choreography Analysis Through Deep Learning Pose Estimation across a Large Video Corpus came out in 2021 in the Digital Humanities Quarterly, I haven’t seen any advancement. 

Since then, the video corpus of dance practice has considerably expanded thanks to humans and it should be so much easier for AI, right? Right?!?

Crickets.


the number of humans you will need to annotate frames to make datasets for the model to run would exceed the number of humans on this planet. 


There are AI-based apps from 3 years ago like SyncTrainer that allow you to upload your performance to compare of a K-pop chorus with the original dance practice to tell you approximately how well you did, but this is still on the level where humans get to do all the work. To use the app, I need to first detect all the poses myself, learn them, perform them, film them, upload them, to compare the final result. Quite a nuance. I want an app that can be a dance instructor.

here is where pose estimation is in 2025, (https://viso.ai/deep-learning/pose-estimation-ultimate-overview/ ), so pretty much nowhere. Anyone who tells you that AI can replace humans is misinformed. I personally ain’t gonna lift a finger to change that. 

AI’s defense regarding the main challenges of pose detection

Detecting the human pose is a challenging task because the body’s appearance changes dynamically due to diverse forms of clothing, arbitrary occlusion, occlusions due to the viewing angle, and background contexts. Pose estimation needs to be robust to challenging real-world variations such as lighting and weather.

Therefore, it is challenging for image processing models to identify fine-grained joint coordinates. It is especially difficult to track small and barely visible joints.

The main challenges of pose detection in AI and computer vision include:

  • Occlusions: When body parts are hidden or blocked by other objects or people, it becomes difficult for the model to accurately detect and track keypoints. This is a significant issue in crowded scenes or when people are interacting closely.

  • Crowded Scenes: Detecting and tracking multiple individuals in crowded environments is complex. The model must distinguish between different people and their respective keypoints, which can be challenging when individuals overlap or are in close proximity.

  • Motion Blur and Defocus: In video sequences, motion blur and defocused video frames can degrade the performance of pose estimation models. These issues are particularly problematic for real-time tracking, where the model needs to handle dynamic and fast-moving scenarios.

  • Temporal Dependency: Capturing the temporal dependency among video frames is crucial for accurate multi-frame human pose estimation. However, this is a challenging task, especially when dealing with high-speed movements or complex interactions.

  • Variations in Body Size and Pose: Pose estimation models must account for variations in body size and pose. For example, some bodies may be farther from the camera, making certain body parts almost invisible and difficult to estimate.

  • Lighting Conditions and Backgrounds: Different environments with varying light contrast and complex backgrounds can affect the accuracy of pose estimation. The model needs to be robust enough to handle these variations.

  • Limited Data and Annotated Datasets: Training pose estimation models requires large and diverse annotated datasets. For highly specific movements, such as those in rehabilitation or sports, custom data is often necessary, which can be time-consuming and costly to obtain.

  • Model Complexity and Performance: More advanced pose estimation models with high accuracy can be computationally expensive and have a large memory footprint. Balancing model complexity and performance is a challenge, especially for deployment on various devices with different computational capabilities.

  • Privacy Concerns: While privacy concerns are generally less relevant in human pose estimation compared to other computer vision tasks, they can still arise, particularly in applications involving surveillance or personal data.

Addressing these challenges requires ongoing research and development in areas such as dataset creation, model architecture, and algorithm optimization.

Rewriting Religious Scriptures Re Wars, Let’s Start With the Gita

I’ve been thrown out of a few temples already for mentioning it, but I stand by my position. 

there is no inherent duty to kill your uncles and cousins for a piece of land. If you’re Arjuna, next time Krishna tells you to go to war, you say “NO I’ll pass. I like you very much, but no thanks, I know the soul is indestructible and I choose to do other things with it. And THEREFORE go fight it out yourself. Aren’t you all powerful after all. Kill me if you want, but I am not going to kill my uncle. I’ll go sit under that tree over there and meditate instead”. 

If I were Arjuna, I’d invoke long covid and get a note from the doctor.

It appears too self-serving to have been said by Krishna. I doubt the Gita is authentic therefore. God would never ask you to kill. Something is off don’t you think! Have you thought that it may be someone else posing as God? Or maybe something got lost in translation. Why are brahmins qualified to tell me what my duty is? 

Yup even in hell, the greatest currency is consent. It’s what keeps this place going. Do not consent!

AI, why is residential real estate in Japan seen as a depreciating asset rather than a good investment?

(here I am attempting to compel AI to compare Japan to North America. Unfortunately, once we hit Toronto, the LLM collapsed. So we’ll stay in Japan for now. If I need to cross-examine an LLM, then there better be someone to object to my questions… No really, I don’t have to do research before interrogating an LLM. It defeats the purpose.)

Residential real estate in Japan is often seen as a depreciating asset due to a combination of cultural, economic, and governmental factors.Historically, Japanese homes are built with the expectation that they will depreciate significantly over time, with an average lifespan of around 27 to 30 years for wooden houses and longer for concrete buildings.

One key reason is the cultural mindset that emphasizes the impermanence of buildings, influenced by Buddhist notions of ephemerality and the concept of mono no aware, which is a sense of the sadness of things due to impermanence.This cultural perspective has led to a practice where homeowners often demolish and rebuild their homes rather than maintaining and renovating them.

Additionally, Japanese tax laws treat land and buildings separately, allowing buildings to depreciate rapidly for tax purposes.This system favors new constructions and can lead to a cycle of demolition and rebuilding, as it provides tax benefits for new buildings.The depreciation rate of structures in Japan is estimated to be around 6% for housing and 10% for commercial structures.

Furthermore, the government’s post-World War II policies aimed to encourage rapid rebuilding and technological advancement, which included tax incentives and low-interest loans for new constructions.These policies have contributed to a market where new constructions are favored over maintaining older buildings.

In summary, the perception of Japanese residential real estate as a depreciating asset is deeply rooted incultural attitudes, tax policies, and economic incentives that favor new construction over renovation and maintenance.

Follow-up: but isn’t real estate a depreciating asset anyway, regardless of culture? 

Real estate depreciation rates vary significantly across different countries and property types. For instance, in Japan, the depreciation rate for housing is approximately 6%, while for commercial structures, it is around 10%.In contrast, the depreciation rate for U.S. housing is much lower, at about 1%.

These differences in depreciation rates can impact investment decisions and returns. For example, higher depreciation rates can decrease capital gains from real estate investment but increase income returns, as demonstrated by Poterba (1984).Additionally, the depreciation rate of real estate varies based on factors such as the value share of structures, city size, location within a city, building age, and density.

In the context of global real estate, the total value of real estate is more than the combined value of global equities and bond markets, and is almost four times the size of global GDP.Residential property accounts for just over three-quarters of the total value, with commercial and agricultural land making up the remaining portions.

The depreciation of real estate also has implications for the global economy, particularly in the context of currency fluctuations. For example, a weaker U.S. dollar can make U.S. real estate more attractive to foreign investors, potentially leading to higher real estate prices in prime locations.However, it can also result in higher interest rates, which may decrease demand and affect property values.

Understanding these global variations and their economic impacts is crucial for investors and policymakers in making informed decisions about real estate investments and financial planning.