#data center estimation

[asestimationsconsultants]

Industries That Benefit the Most from a Construction Estimating Service

Introduction A construction estimating service is often viewed through the lens of residential or commercial building projects. However, its utility extends far beyond these common categories. From healthcare facilities to educational institutions, from infrastructure developments to energy projects, accurate cost estimation is essential for keeping projects financially viable and on schedule. Different industries rely on construction estimating services in unique ways, depending on the complexity, regulations, and scale of their operations.

Healthcare and Medical Facilities Healthcare construction is one of the most complex segments in the industry. Hospitals, clinics, and research labs require precise coordination of mechanical, electrical, and plumbing systems. They also involve compliance with strict health regulations. A construction estimating service is invaluable here, offering detailed breakdowns of specialized materials, infection control measures, and HVAC systems. This ensures that the budget accounts for not only basic construction needs but also industry-specific requirements.

Education Sector Schools, colleges, and universities often operate within tight public or institutional budgets. Their construction projects must meet both educational and safety standards. A construction estimating service helps these institutions by forecasting costs with accuracy, identifying potential cost-saving opportunities, and providing data for long-term capital planning. Estimators also consider phasing plans to accommodate ongoing operations during renovation or expansion projects.

Infrastructure and Transportation Infrastructure projects such as highways, bridges, tunnels, and rail systems involve complex engineering, extended timelines, and significant public investment. The margin for error is small, and the financial stakes are high. A construction estimating service helps stakeholders analyze labor, equipment, and material costs over the long term. It also accounts for weather contingencies, government regulations, and funding cycles, making it critical to achieving financial control in infrastructure development.

Retail and Hospitality Retail chains, hotels, and restaurants need to open new locations quickly while maintaining brand standards and keeping costs in check. A construction estimating service ensures that prototype designs are replicated efficiently across multiple sites. Estimators help these businesses stay on budget while balancing cost, speed, and quality. For hospitality projects, special attention is paid to aesthetics, finishes, and guest experience components, which can significantly affect costs.

Manufacturing and Industrial Facilities Industrial construction involves specialized equipment installation, heavy-duty structural elements, and strict safety codes. A construction estimating service ensures that everything from slab thickness to equipment foundations is accurately accounted for. For manufacturing plants, estimators also factor in logistics like access roads, loading docks, and storage areas. This level of precision helps companies avoid costly changes once construction begins.

Energy and Utilities Power plants, substations, renewable energy facilities, and water treatment plants represent highly technical builds that demand extreme precision. A construction estimating service provides cost projections that include specialized labor, complex machinery, safety protocols, and utility coordination. As the energy sector increasingly leans toward green infrastructure, estimators are also tasked with evaluating sustainable materials and energy-efficient systems.

Technology and Data Centers The rise of cloud computing and digital infrastructure has made data centers a booming sector in construction. These facilities require precise environmental control, redundant power supplies, and advanced security features. A construction estimating service assists by calculating costs related to HVAC systems, fire suppression, server racking, and redundant power generation. Due to rapid technological evolution, estimates must also be flexible enough to accommodate late-stage equipment upgrades.

Government and Defense Government buildings and military installations come with strict compliance guidelines, extensive reporting requirements, and often, multiple funding sources. A construction estimating service helps by offering detailed and auditable cost reports. These estimates are often scrutinized by multiple agencies, so accuracy and documentation are key. Estimators must also account for extended review processes and unique construction standards used in defense-related projects.

Affordable and Public Housing Affordable housing projects often depend on grants, subsidies, or government contracts. Budget constraints are critical, and there’s little room for error. A construction estimating service is essential for balancing cost-efficiency with quality, ensuring that all mandatory building codes and accessibility standards are met without exceeding funding limits. Estimators also evaluate cost-saving strategies like prefabrication or modular construction.

Religious and Cultural Institutions While often non-profit, religious buildings and cultural centers involve unique architectural features and community-focused designs. A construction estimating service ensures that budgetary constraints are respected while accommodating custom design elements like stained glass, domes, or acoustic requirements. These projects often depend on fundraising, making detailed cost forecasts vital for donor confidence and planning.

Mixed-Use Developments Combining residential, commercial, and recreational spaces in one development adds layers of complexity. A construction estimating service ensures that each segment of the project is independently costed while also considering shared infrastructure. Estimators help project managers identify overlaps, avoid duplication of services, and integrate the overall project into a cohesive financial plan.

Relocation and Renovation Projects Projects involving renovation or tenant improvements come with unknowns—hidden damage, outdated wiring, or hazardous materials. A construction estimating service provides the foresight needed to plan for contingencies. Their ability to anticipate problems and budget for them helps avoid mid-project crises and keeps overall costs within range.

Conclusion A construction estimating service is a fundamental asset across diverse industries. While the details may differ—from a hospital’s oxygen delivery system to a hotel’s custom interiors—the goal remains the same: accurate, timely, and actionable cost forecasts. Industries that recognize and invest in professional estimating services are better equipped to complete their projects on budget, on time, and with fewer surprises.

[10001gecs]

one 100 word email written with ai costs roughly one bottle of water to produce. the discussion of whether or not using ai for work is lazy becomes a non issue when you understand there is no ethical way to use it regardless of your intentions or your personal capabilities for the task at hand

with all due respect, this isnt true. *training* generative ai takes a ton of power, but actually using it takes about as much energy as a google search (with image generation being slightly more expensive). we can talk about resource costs when averaged over the amount of work that any model does, but its unhelpful to put a smokescreen over that fact. when you approach it like an issue of scale (i.e. "training ai is bad for the environment, we should think better about where we deploy it/boycott it/otherwise organize abt this) it has power as a movement. but otherwise it becomes a personal choice, moralizing "you personally are harming the environment by using chatgpt" which is not really effective messaging. and that in turn drives the sort of "you are stupid/evil for using ai" rhetoric that i hate. my point is not whether or not using ai is immoral (i mean, i dont think it is, but beyond that). its that the most common arguments against it from ostensible progressives end up just being reactionary

i like this quote a little more- its perfectly fine to have reservations about the current state of gen ai, but its not just going to go away.

[txttletale]

Saw a tweet that said something around:

"cannot emphasize enough how horrid chatgpt is, y'all. it's depleting our global power & water supply, stopping us from thinking or writing critically, plagiarizing human artists. today's students are worried they won't have jobs because of AI tools. this isn't a world we deserve"

I've seen some of your AI posts and they seem nuanced, but how would you respond do this? Cause it seems fairly-on point and like the crux of most worries. Sorry if this is a troublesome ask, just trying to learn so any input would be appreciated.

i would simply respond that almost none of that is true.

'depleting the global power and water supply'

something i've seen making the roudns on tumblr is that chatgpt queries use 3 watt-hours per query. wow, that sounds like a lot, especially with all the articles emphasizing that this is ten times as much as google search. let's check some other very common power uses:

running a microwave for ten minutes is 133 watt-hours

gaming on your ps5 for an hour is 200 watt-hours

watching an hour of netflix is 800 watt-hours

and those are just domestic consumer electricty uses!

a single streetlight's typical operation 1.2 kilowatt-hours a day (or 1200 watt-hours)

a digital billboard being on for an hour is 4.7 kilowatt-hours (or 4700 watt-hours)

i think i've proved my point, so let's move on to the bigger picture: there are estimates that AI is going to cause datacenters to double or even triple in power consumption in the next year or two! damn that sounds scary. hey, how significant as a percentage of global power consumption are datecenters?

1-1.5%.

ah. well. nevertheless!

what about that water? yeah, datacenters use a lot of water for cooling. 1.7 billion gallons (microsoft's usage figure for 2021) is a lot of water! of course, when you look at those huge and scary numbers, there's some important context missing. it's not like that water is shipped to venus: some of it is evaporated and the rest is generally recycled in cooling towers. also, not all of the water used is potable--some datacenters cool themselves with filtered wastewater.

most importantly, this number is for all data centers. there's no good way to separate the 'AI' out for that, except to make educated guesses based on power consumption and percentage changes. that water figure isn't all attributable to AI, plenty of it is necessary to simply run regular web servers.

but sure, just taking that number in isolation, i think we can all broadly agree that it's bad that, for example, people are being asked to reduce their household water usage while google waltzes in and takes billions of gallons from those same public reservoirs.

but again, let's put this in perspective: in 2017, coca cola used 289 billion liters of water--that's 7 billion gallons! bayer (formerly monsanto) in 2018 used 124 million cubic meters--that's 32 billion gallons!

so, like. yeah, AI uses electricity, and water, to do a bunch of stuff that is basically silly and frivolous, and that is broadly speaking, as someone who likes living on a planet that is less than 30% on fire, bad. but if you look at the overall numbers involved it is a miniscule drop in the ocean! it is a functional irrelevance! it is not in any way 'depleting' anything!

'stopping us from thinking or writing critically'

this is the same old reactionary canard we hear over and over again in different forms. when was this mythic golden age when everyone was thinking and writing critically? surely we have all heard these same complaints about tiktok, about phones, about the internet itself? if we had been around a few hundred years earlier, we could have heard that "The free access which many young people have to romances, novels, and plays has poisoned the mind and corrupted the morals of many a promising youth."

it is a reactionary narrative of societal degeneration with no basis in anything. yes, it is very funny that laywers have lost the bar for trusting chatgpt to cite cases for them. but if you think that chatgpt somehow prevented them from thinking critically about its output, you're accusing the tail of wagging the dog.

nobody who says shit like "oh wow chatgpt can write every novel and movie now. yiou can just ask chatgpt to give you opinions and ideas and then use them its so great" was, like, sitting in the symposium debating the nature of the sublime before chatgpt released. there is no 'decay', there is no 'decline'. you should be suspicious of those narratives wherever you see them, especially if you are inclined to agree!

plagiarizing human artists

nah. i've been over this ad infinitum--nothing 'AI art' does could be considered plagiarism without a definition so preposterously expansive that it would curtail huge swathes of human creative expression.

AI art models do not contain or reproduce any images. the result of them being trained on images is a very very complex statistical model that contains a lot of large-scale statistical data about all those images put together (and no data about any of those individual images).

to draw a very tortured comparison, imagine you had a great idea for how to make the next Great American Painting. you loaded up a big file of every norman rockwell painting, and you made a gigantic excel spreadsheet. in this spreadsheet you noticed how regularly elements recurred: in each cell you would have something like "naturalistic lighting" or "sexually unawakened farmers" and the % of times it appears in his paintings. from this, you then drew links between these cells--what % of paintings containing sexually unawakened farmers also contained naturalistic lighting? what % also contained a white guy?

then, if you told someone else with moderately competent skill at painting to use your excel spreadsheet to generate a Great American Painting, you would likely end up with something that is recognizably similar to a Norman Rockwell painting: but any charge of 'plagiarism' would be absolutely fucking absurd!

this is a gross oversimplification, of course, but it is much closer to how AI art works than the 'collage machine' description most people who are all het up about plagiarism talk about--and if it were a collage machine, it would still not be plagiarising because collages aren't plagiarism.

(for a better and smarter explanation of the process from soneone who actually understands it check out this great twitter thread by @reachartwork)

today's students are worried they won't have jobs because of AI tools

i mean, this is true! AI tools are definitely going to destroy livelihoods. they will increase productivty for skilled writers and artists who learn to use them, which will immiserate those jobs--they will outright replace a lot of artists and writers for whom quality is not actually important to the work they do (this has already essentially happened to the SEO slop website industry and is in the process of happening to stock images).

jobs in, for example, product support are being cut for chatgpt. and that sucks for everyone involved. but this isn't some unique evil of chatgpt or machine learning, this is just the effect that technological innovation has on industries under capitalism!

there are plenty of innovations that wiped out other job sectors overnight. the camera was disastrous for portrait artists. the spinning jenny was famously disastrous for the hand-textile workers from which the luddites drew their ranks. retail work was hit hard by self-checkout machines. this is the shape of every single innovation that can increase productivity, as marx explains in wage labour and capital:

“The greater division of labour enables one labourer to accomplish the work of five, 10, or 20 labourers; it therefore increases competition among the labourers fivefold, tenfold, or twentyfold. The labourers compete not only by selling themselves one cheaper than the other, but also by one doing the work of five, 10, or 20; and they are forced to compete in this manner by the division of labour, which is introduced and steadily improved by capital. Furthermore, to the same degree in which the division of labour increases, is the labour simplified. The special skill of the labourer becomes worthless. He becomes transformed into a simple monotonous force of production, with neither physical nor mental elasticity. His work becomes accessible to all; therefore competitors press upon him from all sides. Moreover, it must be remembered that the more simple, the more easily learned the work is, so much the less is its cost to production, the expense of its acquisition, and so much the lower must the wages sink – for, like the price of any other commodity, they are determined by the cost of production. Therefore, in the same manner in which labour becomes more unsatisfactory, more repulsive, do competition increase and wages decrease”

this is the process by which every technological advancement is used to increase the domination of the owning class over the working class. not due to some inherent flaw or malice of the technology itself, but due to the material realtions of production.

so again the overarching point is that none of this is uniquely symptomatic of AI art or whatever ever most recent technological innovation. it is symptomatic of capitalism. we remember the luddites primarily for failing and not accomplishing anything of meaning.

if you think it's bad that this new technology is being used with no consideration for the planet, for social good, for the flourishing of human beings, then i agree with you! but then your problem shouldn't be with the technology--it should be with the economic system under which its use is controlled and dictated by the bourgeoisie.

[reasonsforhope]

Green energy is in its heyday. 

Renewable energy sources now account for 22% of the nation’s electricity, and solar has skyrocketed eight times over in the last decade. This spring in California, wind, water, and solar power energy sources exceeded expectations, accounting for an average of 61.5 percent of the state's electricity demand across 52 days. 

But green energy has a lithium problem. Lithium batteries control more than 90% of the global grid battery storage market. 

That’s not just cell phones, laptops, electric toothbrushes, and tools. Scooters, e-bikes, hybrids, and electric vehicles all rely on rechargeable lithium batteries to get going. 

Fortunately, this past week, Natron Energy launched its first-ever commercial-scale production of sodium-ion batteries in the U.S. 

“Sodium-ion batteries offer a unique alternative to lithium-ion, with higher power, faster recharge, longer lifecycle and a completely safe and stable chemistry,” said Colin Wessells — Natron Founder and Co-CEO — at the kick-off event in Michigan. 

The new sodium-ion batteries charge and discharge at rates 10 times faster than lithium-ion, with an estimated lifespan of 50,000 cycles.

Wessells said that using sodium as a primary mineral alternative eliminates industry-wide issues of worker negligence, geopolitical disruption, and the “questionable environmental impacts” inextricably linked to lithium mining. 

“The electrification of our economy is dependent on the development and production of new, innovative energy storage solutions,” Wessells said. 

Why are sodium batteries a better alternative to lithium?

The birth and death cycle of lithium is shadowed in environmental destruction. The process of extracting lithium pollutes the water, air, and soil, and when it’s eventually discarded, the flammable batteries are prone to bursting into flames and burning out in landfills. 

There’s also a human cost. Lithium-ion materials like cobalt and nickel are not only harder to source and procure, but their supply chains are also overwhelmingly attributed to hazardous working conditions and child labor law violations. 

Sodium, on the other hand, is estimated to be 1,000 times more abundant in the earth’s crust than lithium. 

“Unlike lithium, sodium can be produced from an abundant material: salt,” engineer Casey Crownhart wrote ​​in the MIT Technology Review. “Because the raw ingredients are cheap and widely available, there’s potential for sodium-ion batteries to be significantly less expensive than their lithium-ion counterparts if more companies start making more of them.”

What will these batteries be used for?

Right now, Natron has its focus set on AI models and data storage centers, which consume hefty amounts of energy. In 2023, the MIT Technology Review reported that one AI model can emit more than 626,00 pounds of carbon dioxide equivalent. 

“We expect our battery solutions will be used to power the explosive growth in data centers used for Artificial Intelligence,” said Wendell Brooks, co-CEO of Natron. 

“With the start of commercial-scale production here in Michigan, we are well-positioned to capitalize on the growing demand for efficient, safe, and reliable battery energy storage.”

The fast-charging energy alternative also has limitless potential on a consumer level, and Natron is eying telecommunications and EV fast-charging once it begins servicing AI data storage centers in June. 

On a larger scale, sodium-ion batteries could radically change the manufacturing and production sectors — from housing energy to lower electricity costs in warehouses, to charging backup stations and powering electric vehicles, trucks, forklifts, and so on. 

“I founded Natron because we saw climate change as the defining problem of our time,” Wessells said. “We believe batteries have a role to play.”

-via GoodGoodGood, May 3, 2024

--

Note: I wanted to make sure this was legit (scientifically and in general), and I'm happy to report that it really is! x, x, x, x

[covid-safer-hotties]

Also preserved on our archive

By Anthony Robledo

The side effects of newly discovered COVID-19 strain XEC might not be as severe, but is part of the more contagious variant class, experts say.

The Centers for Disease Control and Prevention (CDC) defines XEC as recombinant or hybrid of the strains KS.1.1 and KP.3.3., both from the Omicron family that became the predominant strain in the U.S. late December 2022.

The variant, which first appeared in Berlin in late June, has increasingly seen hundreds of cases in Germany, France, Denmark and Netherlands, according to a report by Australia-based data integration specialist Mike Honey.

XEC has also been reported in at least 25 U.S. states though there could be more as genetic testing is not done on every positive test, RTI International epidemiologist Joëlla W. Adams said.

"We often use what happens in Europe as a good indication of what might happen here," Adams told USA TODAY Friday. "Whenever we're entering into a season where we have multiple viruses occurring at the same time, like we're entering into flu season, that obviously complicates things."

What is the XEC variant? New COVID strain XEC is a recombinant strain of two variants in the Omicron family: KS.1.1 and KP.3.3.

The hybrid strain was first reported in Berlin late June but has spread across Europe, North America and Asia with the countries Germany, France, the Netherlands and Denmark leading cases.

Is the XEC variant more contagious? While there's no indication the XEC strain will increase the severity of virus, it could potentially become a dominant strain as Omicron variants are more contagious. However, current available COVID-19 vaccines and booster shots are particularly protective against XEC as it is a hybrid of two Omicron strains.

"These strains do have the advantage in the fact that they are more transmissible compared to other families, and so the vaccines that are currently being offered were not based off of the XEC variant, but they are related," Adams said.

Like other respiratory infections, COVID-19 and its recent Omicron variants will increasingly spread during the fall and winter seasons as students return to classes, kids spend more time inside and people visit family for the holidays, according to Adams.

How can we protect ourselves from XEC and other variants? The CDC continues to monitor the emergence of variants in the population, according to spokesperson Rosa Norman.

"At this time, we anticipate that COVID-19 treatments and vaccines will continue to work against all circulating variants," Norman said in a statement to USA TODAY. "CDC will continue to monitor the effectiveness of treatment and vaccines against circulating variants."

The CDC recommends that everyone ages 6 months and older, with some exceptions, receive an updated 2024-2025 COVID-19 vaccine to protect against the virus, regardless whether or not you have previously been vaccinated or infected.

Norman urged Americans to monitor the agency's COVID Data Tracker for updates to new variants.

KP.3.1.1:This dominant COVID-19 variant accounts for over 50% of cases, new CDC data shows

What is the dominant strain of COVID in the US? COVID-19 variant KP.3.1.1 is currently the dominant strain accounting for more than half of positive infections in the U.S. according to recent CDC projections.

Between Sept. 1 and Sept. 14, 52.7% of positive infections were of the KP.3.1.1 strain, followed by KP.2.3 at 12.2%, according to the agency's Nowcast data tracker, which displays COVID-19 estimates and projections for two-week periods.

KP.3.1.1 first became the dominant strain in the two-week period, starting on July 21st and ending on August 3rd.

"The KP.3.1.1 variant is very similar to other circulating variants in the United States. All current lineages are descendants of JN.1, which emerged in late 2023," Norman previously told USA TODAY.

COVID XEC symptoms There is no indication that the XEC variant comes with its own unique symptoms.

The CDC continues to outline the basic COVID-19 symptoms, which can appear between two to 14 days after exposure to the virus and can range from mild to severe.

These are some of the symptoms of COVID-19:

Fever or chills Cough Shortness of breath or difficulty breathing Fatigue Muscle or body aches Headache Loss of taste or smell Sore throat Congestion or runny nose Nausea or vomiting Diarrhea

The CDC said you should seek medical attention if you have the following symptoms:

Trouble breathing Persistent pain or pressure in the chest New confusion Inability to wake or stay awake Pale, gray or blue-colored skin, lips, or nail beds

[mariacallous]

With vaccination rates among US kindergarteners steadily declining in recent years and Secretary of Health and Human Services Robert F. Kennedy Jr. vowing to reexamine the childhood vaccination schedule, measles and other previously eliminated infectious diseases could become more common. A new analysis published today by epidemiologists at Stanford University attempts to quantify those impacts.

Using a computer model, the authors found that with current state-level vaccination rates, measles could reestablish itself and become consistently present in the United States in the next two decades. Their model predicted this outcome in 83 percent of simulations. If current vaccination rates stay the same, the model estimated that the US could see more than 850,000 cases, 170,000 hospitalizations, and 2,500 deaths over the next 25 years. The results appear in the Journal of the American Medical Association.

“I don’t see this as speculative. It is a modeling exercise, but it’s based on good numbers,” says Jeffrey Griffiths, professor of public health and community medicine at Tufts University School of Medicine in Boston, who was not involved in the study. “The big point is that measles is very likely to become endemic quickly if we continue in this way.”

The United States declared measles eliminated in 2000 after decades of successful vaccination campaigns. Elimination means there has been no chain of disease transmission inside a country lasting longer than 12 months. The current measles outbreak in Texas, however, could put that status at risk. With more than 600 cases, 64 hospitalizations, and two deaths, it’s the largest outbreak the state has seen since 1992, when 990 cases were linked to a single outbreak. Nationally, the US has seen 800 cases of measles so far in 2025, the most since 2019. Last year, there were 285 cases.

“We’re really at a point where we should be trying to increase vaccination as much as possible,” says Mathew Kiang, assistant professor of epidemiology and population health at Stanford University and one of the authors of the paper.

Childhood vaccination in the US has been on a downward trend. Data collected by the Centers for Disease Control and Prevention from state and local vaccination programs found that from the 2019–2020 school year to the 2022–2023 school year, coverage among kindergartners with state-required vaccinations declined from 95 percent to approximately 93 percent. Those vaccines included MMR (measles, mumps, and rubella), DTaP (diphtheria, tetanus, and acellular pertussis), polio, and chickenpox.

In the current study, Kiang and his colleagues modeled each state separately, taking into account their vaccination rates, which ranged from 88 percent to 96 percent for measles, 78 percent to 91 percent for diphtheria, and 90 percent to 97 percent for the polio vaccine. Other variables included demographics of the population, vaccine efficacy, risk of disease importation, typical duration of the infection, the time between exposure and being able to spread the disease, and the contagiousness of the disease, also known as the basic reproduction number. Measles is highly contagious, with one person on average being able to infect 12 to 18 people. The researchers used 12 as the basic reproduction number in their study.

Under a scenario with a 10 percent decline in measles vaccination, the model estimates 11.1 million cases of measles over the next 25 years, while a 5 percent increase in the vaccination rate would result in just 5,800 cases in that same time period.

In addition to measles, the authors used their model to assess the risk of rubella, polio, and diphtheria. The researchers chose these four diseases for their infectiousness and risk of severe complications. While sporadic cases of these diseases do occur and are usually related to international travel, they are no longer endemic in the US, meaning they no longer regularly occur.

The model predicted that rubella, polio, and diphtheria are unlikely to become endemic under current levels of vaccination. Rubella and polio have a basic reproduction number of four, while diphtheria’s is less than three. In 81 percent of simulations, vaccination rates would need to fall by around 35 percent for rubella to become endemic in the next 25 years. Polio, meanwhile, had a 50 percent chance of becoming endemic if vaccination rates dropped 40 percent. Diphtheria was the least likely disease to become reestablished.

“Any of these diseases, under the right conditions, could come back,” says coauthor Nathan Lo, a Stanford physician and assistant professor of infectious diseases.

To evaluate the validity of the model, the researchers ran a scenario with recent state-level vaccine coverage rates over a five-year period and found that the number of model-predicted cases broadly aligned with the number of observed cases in those years. The authors also found that Texas was at the highest risk for measles.

One limitation of the study was that the model assumed that vaccination rates were the same across all communities within a state. It didn’t take into account large variations in vaccination levels. Pockets of low vaccination rates, like in the Mennonite community at the center of the West Texas outbreak, would likely lead to local outbreaks that are larger than expected given the overall vaccination rate.

The study also didn’t take into account the possibility that vaccination rates could rebound in an area in response to an outbreak. “That’s the thing that we have control over. If you’re able to change that cycle, then that disease won’t spread anymore,” says Mujeeb Basit, associate chief of the Clinical Informatics Center at UT Southwestern Medical Center, who wasn’t involved in the study.

Kiang and Lo say the full impact of decreased vaccination will likely not be seen for decades. “It’s important to note that it’s totally feasible that vaccinations go down and nothing happens for a little while. That’s actually what the model says,” Kiang says. “But eventually, these things are going to catch up to us.”

[incognitopolls]

Anon's explanation:

I’m curious because I see a lot of people claiming to be anti-AI, and in the same post advocating for the use of Glaze and Artshield, which use DiffusionBee and Stable Diffusion, respectively. Glaze creates a noise filter using DiffusionBee; Artshield runs your image through Stable Diffusion and edits it so that it reads as AI-generated. You don’t have to take my work for it. Search for DiffusionBee and Glaze yourself if you have doubts. I’m also curious about machine translation, since Google Translate is trained on the same kinds of data as ChatGPT (social media, etc) and translation work is also skilled creative labor, but people seem to have no qualms about using it. The same goes for text to speech—a lot of the voices people use for it were trained on professional audiobook narration, and voice acting/narration is also skilled creative labor. Basically, I’m curious because people seem to regard these types of gen AI differently than text gen and image gen. Is it because they don’t know? Is it because they don’t think the work it replaces is creative? Is it because of accessibility? (and, if so, why are other types of gen AI not also regarded as accessibility? And even then, it wouldn’t explain the use of Glaze/Artshield)

Additional comments from anon:

I did some digging by infiltrating (lurking in) pro-AI spaces to see how much damage Glaze and other such programs were doing. Unfortunately, it turns out none of those programs deter people from using the ‘protected’ art. In fact, because of how AI training works, they may actually result in better output? Something about adversarial training. It was super disappointing. Nobody in those spaces considers them even a mild deterrent anywhere I looked. Hopefully people can shed some light on the contradictions for me. Even just knowing how widespread their use is would be informative. (I’m not asking about environmental impact as a factor because I read the study everybody cited, and it wasn’t even anti-AI? It was about figuring out the best time of day to train a model to balance solar power vs water use and consumption. And the way they estimated the impact of AI was super weird? They just went with 2020’s data center growth rate as the ‘normal’ growth rate and then any ‘extra’ growth was considered AI. Maybe that’s why it didn’t pass peer review... But since people are still quoting it, that’s another reason for me to wonder why they would use Glaze and Artshield and everything. That’s why running them locally has such heavy GPU requirements and why it takes so long to process an image if you don’t meet the requirements. It’s the same electricity/water cost as generating any other AI image.)

–

We ask your questions anonymously so you don’t have to! Submissions are open on the 1st and 15th of the month.

[archaeren]

Hello!! I hope you're having a good day ^^ I came across your post about writing non-linearly on Notion and I'm excited to try it out because the advice resonated with me! Though, I'm really new to using the app and, if possible, need help with how to do this part: 'where every scene is a separate table entry and the scene is written in the page inside that entry.' ;v;

Hello! Thank you so much for messaging!!! Since that post about writing non-linearly (linked for context) blew up roughly ten thousand times as much as anything I've ever posted, I've been kind of meaning to make a followup post explaining more about how I use Notion for writing non-linearly, but, you know, ADHD, so I haven't done it yet. XD In the meantime, I'll post a couple screenshots of my current long fic with some explanations! I'd make this post shorter, but I'm unable to not be Chatty. XD (just ask my poor readers how long my author notes are...) (There is a phone app as well which syncs with the desktop/browser versions, but I work predominantly in the desktop app so that's what I'm gonna be showing)

(the table keeps going off the right side of the image but it's a bunch of unimportant stuff tbh) So this is more complicated than what you'll probably start with because I'm Normal and add a bunch of details that you might not need depending on what you're doing. For example, my fic switches POVs so I have a column for tracking that, and my fic follows a canon timeline so I have a column for dates so I can keep track of them, and I also made columns for things like if a scene had spoilers or certain content readers may want to avoid, which they can access in my spoiler and content guide for the fic. (As I said, I'm Normal.) I also do some complicated stuff using Status and estimated wordcount stuff to get an idea of how long I predict the content to be, but again, not necessary. Anyway, you don't need any of that. For the purposes of this explanation, we're just gonna look at the columns I have called Name, Order, and Status. (And one called Part, but we'll get into that later) Columns in Notion have different types, such as Text, Numbers, Select, Date, etc, so make sure to use the type that works best for the purpose of each column! For example, here I'm using Select for Character POVs, Number for Order and WC (wordcount), and Text for the In-Game Date. Okay let's get into it! Name is a column that comes in a Notion table by default, and you can't get rid of it (which drives me up the wall for some purposes but works totally fine for what we're doing here). As you can see on the scene I've labeled 'roll call', if you hover over a Name entry, a little button called 'Open' appears, which you click on to open the document that's inside the table. That's all default, you don't have to set anything up for it. Here's a screenshot of what it looks like when I click the one titled 'I will be anything for you' (I've scrolled down in the screenshot so you can see the text, but all the data fields also appear at the top of the page)

(This view is called 'side peek' meaning the document opens on one side and you can still see the table under it on the left, which is what mine defaults to. But you can set it to 'center peek' or 'full page' as well.) All my scenes have their own entry like this! Note that I've said scenes, not chapters. I decide the chapters later by combining the scenes in whatever combination feels right, which means I can often decide in advance where my chapter endings will be. This helps me consciously give most of my endings more impact than I was usually able to do when I tried to write linearly. So hopefully that gives you an idea of what I mean by writing inside the table and treating the table as a living outline. The 'Status' column is also pretty straightforward, and might require a little setup for whatever your needs are. This is another default column type Notion has which is similar to a Select but has a few more specialized features. This is how mine is set up:

(I don't actually use 'Done', idk why I left it there. Probably I should replace it with 'Posted' and use that instead of the checkmark on the far left? whatever, don't let anyone tell you I'm organized. XDD)

Pretty straightforward, it just lets me see easily what's complete and what still needs work. (You'll notice there's no status for editing, because like I mentioned in my other post, I don't ever sit down to consciously edit, I just let it happen as I reread) Obviously tailor this to your own needs! The Order column is sneakily important, because this is what makes it easy for me to keep the scenes organized. I set the Sort on the table to use the Order to keep the scene ordered chronologically. When I make the initial list of scenes I know the fic will have, I give all of them a whole number to put them in order of events. Then as I write and come up with new scene ideas, the new scenes get a number with a decimal point to put them in the spot they fit in the timeline. (you can't see it here, but some of them have a decimal three or four digits deep, lol). Technically you can drag them to the correct spot manually, but if you ever create another View in your table (you can see I have eight Views in this one, they're right under the title) it won't keep your sorting in the new View and you'll hate yourself when it jumbles all your scenes. XD (And if you get more comfortable with Notion, you probably will at some point desire to make more Views) The Part column isn't necessary, but I found that as the fic grew longer, I was naturally separating the scenes into different points along the timeline by changes in status quo, etc. (ex. "this is before they go overseas" "this is after they speak for the first time", stuff like that) in my mind. To make it easier to decide where to place new scenes in the timeline, I formalized this into Parts, which initially I named with short summaries of the current status quo, and later changed to actual titles because I decided it would be cool to actually use them in the fic itself. Since it's not in the screenshots above, here's what the dropdown for it looks like:

(I've blocked some of the titles out for spoiler reasons)

Basically I only mention the Parts thing because I found it was a useful organizational tool for me and I was naturally doing it in my head anyway. Anyway, I could keep talking about this for a really long time because I love Notion (don't get me started on how I use toggle blocks for hiding content I've edited out without deleting it) but that should be enough to get started and I should really, you know, not make this another insanely long post. XDD And if anybody is curious about how the final results look, the fic can be found here.

[probablyasocialecologist]

“Generative AI uses significant energy and water resources, but companies are generally not reporting details of these uses,” the [Government Accountability Office] said. Things also vary greatly depending on where in the U.S. an AI model is trained. It doesn’t cost the same amount to cool a datacenter in Texas as it does in Oregon. But what the GAO could figure out was startling. “It is not unusual to see new data centers being built with energy needs of 100 to 1000 megawatts, roughly equivalent to powering 80,000 to 800,000 households,” the GAO said. It added that 40 percent of that cost is just cooling the data center, a cost that’s expected to increase as the planet heats up.

[...]

The GAO report also noted that using generative AI as a search engine was far more costly than traditional search methods. “One estimate indicates using generative AI could cost 10 times more than a standard keyword search,” it said. According to the GAO’s estimates, AIs doing 250,000,000 queries a day would use as much electricity as 26,071 U.S. household’s use in a day and 1,100,836 gallons of water.

24 April 2025

[draconym]

nightshade is basically useless https://www.tumblr.com/billclintonsbeefarm/740236576484999168/even-if-you-dont-like-generative-models-this

I'm not a developer, but the creators of Nightshade do address some of this post's concerns in their FAQ. Obviously it's not a magic bullet to prevent AI image scraping, and obviously there's an arms race between AI developers and artists attempting to disrupt their data pools. But personally, I think it's an interesting project and is accessible to most people to try. Giving up on it at this stage seems really premature.

But if it's caption data that's truly valuable, Tumblr is an ... interesting ... place to be scraping it from. For one thing, users tend to get pretty creative with both image descriptions and tags. For another, I hope whichever bot scrapes my blog enjoys the many bird photos I have described as "Cheese." Genuinely curious if Tumblr data is actually valuable or if it's garbage.

That said, I find it pretty ironic that the OP of the post you linked seems to think nightshade and glaze specifically are an unreasonable waste of electricity. Both are software. Your personal computer's graphics card is doing the work, not an entire data center, so if your computer was going to be on anyway, the cost is a drop in the bucket compared to what AI generators are consuming.

Training a large language model like GPT-3, for example, is estimated to use just under 1,300 megawatt hours (MWh) of electricity; about as much power as consumed annually by 130 US homes. To put that in context, streaming an hour of Netflix requires around 0.8 kWh (0.0008 MWh) of electricity. That means you’d have to watch 1,625,000 hours to consume the same amount of power it takes to train GPT-3. (source)

So, no, I don't think Nightshade or Glaze are useless just because they aren't going to immediately topple every AI image generator. There's not really much downside for the artists interested in using them so I hope they continue development.

[elljayvee]

Since time immemorial (1966) there has been the question: what the hell is normal Vulcan body temperature anyway? Fanon has ranged from "hotter than human" to "cooler than human". Anyway, today it occurred to me that on the remastered TOS the biobed temperature indicator might be clear enough to read in some episodes. The temp indicator is the farthest left of the indicators, and there are three indicators, a central area, then three more indicators. Even on the remasters, sometimes you can only see two of the indicators, which can lead to things like misreading the temperature if you don't count over.

The clearest shot I could get of the numbers on the indicator is in "Operation Annihilate", when Aurelan is in a biobed in sickbay. It is clear enough to pause and note all the numbers and the human-normal range. Since you can't always see the indicator clearly it's useful to know where all the tick marks are to estimate readings. It's marked in F & C with major ticks every 5F. The low end of the temp scale is 89F, top end 106F, and the marked human-normal range is approximately 96.5-99.2.

- "The Naked Time": a human crewman is on the biobed, and we can clearly see his normal-range readings. Then he gets off and Spock gets on, and the temperature indicator immediately plunges. It settles out in the low 90s, perhaps 91F or so.

- "Journey to Babel": Sarek's temp indicator is visible twice, once after his initial collapse and once during surgery, after his heart has been restarted and he is unconscious and in visible discomfort. The first reading is around 95F. The second reading starts around 97.5 and quickly rises to just over 100F. Has Tuvok ever been in a biobed we could read? Any other Vulcans? Have we really only got Dying Sarek as normal Vulcan Temperature Benchmark?

Spock's biobed readings are visible in the episode's final scene, but I do not think the biobed's monitoring function is turned on. None of the readings move around on the screen (which they usually do when actively tracking a patient) AND they're all dead center in the "human normal" range, which is the default settings of the bed, AND the central pulse light is dark. By contrast, although the readings themselves are out of view on Sarek's bed in the same scene, the central pulse light is blinking.

- "Operation: Annihilate": two temperature readings. First, when Spock is in surgery, hovering around 97.5F, then later, when he's controlling the pain, it's 94.5F. Aurelan, who is human, was running a 101F fever before she died; it's probable that Spock is running a temperature for at least the higher of those numbers, and possibly both.

- "A Private Little War": in sickbay after initial surgery, Spock's temp is about 91F; it's the same mid-healing trance. When he begins to surface from the trance, a lot of the indicators fluctuate (this is mentioned in dialogue as well), and his temp is one of them, but it never gets as high as human-normal, topping out right around 95F. When he speaks to Chapel as he comes out of trance, the marks for F are not visible but C indicators look like around 35C, or 95F.

- "Spock's Brain": his non-brain-having body is running around 91.5F.

There are a few more eps where Spock is in a bio-bed, but I couldn't see the numbers. I may also have missed a few, since I was mostly going by memory of episodes where he's injured.

The trouble, of course, is that almost all of the measurements we have are of a half-Vulcan, and all of them except those in "The Naked Time" are when he's ill or badly injured, so their applicability to Vulcans generally is unknown. Regardless, at least using the remastered TOS episodes for source material, it's clear that Spock's normal range is sub-95F, and when he's healthy likely around 91 or 92. Data on healthy full-Vulcans is nonexistent in these episodes, but Sarek's reading at his healthiest is no higher than 95F, so I would guess his healthy temp is also sub-95F.

[youzicha]

Tried to use ChatGPT to count words in a text and it took like a minute to reply "the text contains 313 words", and now I'm imagining a data center spinning up a state-of-the-art GPU node and passing each token through hundreds of layers estimating millions of features until it finally arrives at the (approximate) answer...

[livingforstars]

Signed, "A Black Hole" - May 16th, 1997.

"This artistic image is actually the signature of a supermassive black hole in the center of distant galaxy M84 - based on data recorded by Hubble's Space Telescope Imaging Spectrograph (STIS). Very near to black holes, the force of gravity is so strong that even light can not escape...but the presence of a black hole can also be revealed by watching matter fall into it. In fact, material spiraling into a black hole would find its speed increasing at a drastic rate. These extreme velocity increases provide a "signature" of the black hole's presence. STIS relies on the Doppler effect to measure gas velocity, rapidly increasing to nearly 240 miles per second within 26 light-years of the center of M84, a galaxy in the Virgo Cluster about 50 million light-years away. The STIS data show that radiation from approaching gas, shifted to blue wavelengths left of the centerline, is suddenly redshifted to the right of center, indicating a rapidly rotating disk of material near the galactic nucleus. The resulting sharp S-shape is effectively the signature of a black hole, estimated to contain at least 300 million solar masses. Do all galaxies have central black holes?"

[slimedryer]

TO BE A FLY ON THIS WALL (or: time. pain.)

A 41 minute, 14 second compilation featuring the breakdown during every live, formal performance of "The Foundations of Decay" in 2022 and 2023, in chronological order.

(Many thanks to @sleepoutro and @angstics for their foundational data compilation work. More information, credits, and individual video details after the cut.)

During work on a separate Foundations video project, I decided the the breakdown footage wouldn't be used. Of course, it's an impactful moment every show — the footage shouldn't go unseen, and the most fun My Chem fans can have is finding parallels, noticing patterns, etc. So, that project was put on hold while this compilation was made.

Hopefully the final product looks deceptively simple. I'd estimate 150 hours of work including learning DaVinci Resolve, footage discovery (YT search is borderline useless now?), review, and editing. If, after all that time, there's any discrepancies in the data, links, or audio/video sync, let me know.

link to angstics masterlist: angstics.tumblr.com/post/714904480751206400/

link to sleepoutro masterlist: sleepoutro.tumblr.com/post/702020960719683584/

I also utilized the MCRchive Dropbox catalogue, but for this project didn't include any videos I wasn't able to source directly from YouTube (note: two videos from edmorris2191 were set to private between sourcing and publishing).

DATE (YMD) | VENUE LOCATION | UPLOADED BY | LINK TO FULL VIDEO

2023 03 26 | Intex Osaka, Osaka, Japan | kei-y | youtube.com/watch?v=GroVKRMiFrc

2023 03 25 | Makuhari Messe 9-11 Hall, Chiba, Japan | liveshowclips (video) | youtube.com/watch?v=1BrZ9Xj8deg (video) | maddhatter_yungho (audio) | youtube.com/watch?v=5lnNus6nZ-8 (audio) [The visual here was fantastic but the audio was better on an alternate recording.]

2023 03 20 | Qudos Bank Arena, Sydney, Australia | gin4918 | youtube.com/watch?v=p7Kw70LCkCQ

2023 03 19 | Qudos Bank Arena, Sydney, Australia | Australian_Satan | youtube.com/watch?v=GpttxJILB_k

2023 03 17 | Rod Laver Arena, Melbourne, Australia | xander85 | youtube.com/watch?v=H8gutfrqkTQ

2023 03 16 | Rod Laver Arena, Melbourne, Australia | kingswrestlingtalk4234 | youtube.com/watch?v=A95Fma0PocA

2023 03 14 | Brisbane Entertainment Centre, Brisbane, Australia | camosconcerts | youtube.com/watch?v=AdY6luAduWs

2023 03 13 | Brisbane Entertainment Centre, Brisbane, Australia | JBfromOZ | youtube.com/watch?v=rsUFHis8nLE

2023 03 11 | The Outer Fields at Western Springs, Auckland, New Zealand | Dirvinator | youtube.com/watch?v=0207hOpIFkA

2022 11 18 | Autódromo Hermanos Rodríguez, Mexico City, Mexico | wikiconcerts | youtube.com/watch?v=--ag8X-RhTM

2022 10 29 | Las Vegas Festival Grounds, Las Vegas, NV, USA | sirsuchil290 | youtube.com/watch?v=uZoEQeIjOC4

2022 10 17 | Kia Forum, Inglewood, CA, USA | deadhoarse | youtube.com/watch?v=4BSpQGxiFq0

2022 10 15 | Kia Forum, Inglewood, CA, USA | untamedb3ast813 | youtube.com/watch?v=YDiIztE4ZuY

2022 10 14 | Kia Forum, Inglewood, CA, USA | craiggaynier1565 | youtube.com/watch?v=pm-mWFCYZzw

2022 10 12 | Kia Forum, Inglewood, CA, USA | danszig77 | youtube.com/watch?v=ldIbzKhQkPk

2022 10 11 | Kia Forum, Inglewood, CA, USA | edmorris2191 | Video Made Private

2022 10 08 | Discovery Park, Sacramento, CA, USA | KobeA7 | youtube.com/watch?v=lTbVkbjqJKs

2022 10 07 | T-Mobile Arena, Las Vegas, NV, USA | Arguetil3am | youtube.com/watch?v=lmQzMFiFENk

2022 10 05 | Oakland Arena, Oakland, CA, USA | sorryimaiden | youtube.com/watch?v=oa4lUEn-B60

2022 10 03 | Tacoma Dome, Tacoma, WA, USA | BrandinoLee | youtube.com/watch?v=19UhkSGbQkI

2022 10 02 | Moda Center, Portland, OR, USA | Gravity.Prince | youtube.com/watch?v=La29nwYG3iQ

2022 09 30 | Ball Arena, Denver, CO, USA | feedbackmusicbar | youtube.com/watch?v=xXk9kfAuj0A

2022 09 28 | American Airlines Center, Dallas, TX, USA | osceola13 | youtube.com/watch?v=dfC-in1S9Z0

2022 09 27 | Toyota Center, Houston, TX, USA | ericrainey7143 | youtube.com/watch?v=giVqgehNAZk

2022 09 24 | FLA Live Arena, Sunrise, FL, USA | marcg.3333 | youtube.com/watch?v=HjUYgchyTO4

2022 09 23 | The Woodlands of Dover International Speedway, Dover, DE, USA | aleneb5712 | youtube.com/watch?v=z6NGn_L3uis

2022 09 21 | Prudential Center, Newark, NJ, USA | odetoanathema | youtube.com/watch?v=xr_V-hRH3Gs

2022 09 20 | Prudential Center, Newark, NJ, USA | jimpowers10411 | youtube.com/watch?v=Me2Zzrm1E4k

2022 09 18 | Ameris Bank Amphitheatre, Alpharetta, GA, USA | siberwolf | youtube.com/watch?v=A2hC7TZPplc

2022 09 16 | Douglass Park, Chicago, IL, USA | cynthiachang465 | youtube.com/watch?v=lienHKv6JFs

2022 09 15 | Xcel Energy Center, St. Paul, MN, USA | Kittycat12353 | youtube.com/watch?v=4WQ5zCETOs8

2022 09 13 | Little Caesars Arena, Detroit, MI, USA | i.i.i.1 | youtube.com/watch?v=EWeF7jkZAdE

2022 09 11 | Barclays Center, Brooklyn, NY, USA | tomsarchive3623 | youtube.com/watch?v=F1ARCm_tzzY

2022 09 10 | Barclays Center, Brooklyn, NY, USA | maes6050 | youtube.com/watch?v=5UvEJxDMXW0

2022 09 08 | TD Garden, Boston, MA, USA | Lilazzini | youtube.com/watch?v=bkJfbcaoNIU

2022 09 07 | TD Garden, Boston, MA, USA | wesleyjillson4810 | youtube.com/watch?v=6a0xlGlzAWU

2022 09 05 | Scotiabank Arena, Toronto, ON, Canada | Eddievanhello | youtube.com/watch?v=wSJPOrNWv8I

2022 09 04 | Scotiabank Arena, Toronto, ON, Canada | AruWindRabbit | youtube.com/watch?v=xUjfaf0da2U

2022 09 02 | Centre Bell, Montreal, QC, Canada | Nataly080186 | youtube.com/watch?v=cX9K9yTVwuY

2022 09 01 | Mohegan Sun Arena, Uncasville, CT, USA | kylestraveljournal | youtube.com/watch?v=UJ7F1Ps5RzE

2022 08 30 | MVP Arena, Albany, NY, USA | deterioration | youtube.com/watch?v=sYESfqGtbMo

2022 08 29 | Wells Fargo Center, Philadelphia, PA, USA | deadhoarse | youtube.com/watch?v=cEu8nRD2-H4

2022 08 27 | UBS Arena, Elmont, NY, USA | anonymousconcertwatcher7879 | youtube.com/watch?v=M8tbKjJQtPE

2022 08 26 | PNC Arena, Raleigh, NC, USA | divineproxie7736 | youtube.com/watch?v=CAqDdKQC5CE

2022 08 24 | Heritage Bank Center, Cincinnati, OH, USA | DatBlizz | youtube.com/watch?v=Y6CpUbyLeRk

2022 08 23 | Bridgestone Arena, Nashville, TN, USA | MoshPitChronicles | youtube.com/watch?v=Nks-iLsYPYk

2022 08 21 | AT&T Center, San Antonio, TX, USA | dragontype191 | youtube.com/watch?v=OVAEdXT3FqM

2022 08 20 | Paycom Center, Oklahoma City, OK, USA | xXspiraloutXx | youtube.com/watch?v=LIUrd6hYNxs

2022 06 18 | Kunstrasen Bonn, Bonn, Germany | edmorris2191 | Video Made Private

2022 06 17 | Kunstrasen Bonn, Bonn, Germany | starstrucklilly9024 | youtube.com/watch?v=rnu1LOWYGbY

2022 06 14 | Stora Scenen, Gröna Lund, Stockholm, Sweden | JulianneSands | youtube.com/watch?v=x2pXYuTMi5s

2022 06 12 | Velodrom, Berlin, Germany | cybeshi | youtube.com/watch?v=PA1DtnMdy5g

2022 06 11 | O2 arena, Prague, Czechia | matovkanal5361 | youtube.com/watch?v=yGh889k4Pj0

2022 06 09 | Letnia Scena Progresji, Warsaw, Poland | wiktoria.j | youtube.com/watch?v=OpdxyuvKFFU

2022 06 07 | Budapest Park, Budapest, Hungary | FMA4EVERX3 | youtube.com/watch?v=I2xoDB6Z3b8

2022 06 06 | Olympiahalle, Munich, Germany | gabrielaw.8449 | youtube.com/watch?v=thhZGzpYk4U

2022 06 04 | Arena Parco Nord, Bologna, Italy | EndlessNightMCR | youtube.com/watch?v=bAmJQL2RY3k

2022 06 02 | Ahoy, Rotterdam, Netherlands | Prinren | youtube.com/watch?v=ue_cUm1oYjQ

2022 06 01 | Accor Arena, Paris, France | parisandallthatjazz | youtube.com/watch?v=aoNzsPOe7Lc

2022 05 30 | The OVO Hydro, Glasgow, Scotland | DrFluffyNips | youtube.com/watch?v=0zqCiEMg0uA

2022 05 28 | Sophia Gardens Cricket Ground, Cardiff, Wales | visiblexperia6693 | youtube.com/watch?v=o5z_iYjLu1M

2022 05 27 | Victoria Park, Warrington, England | darrenquin317 | youtube.com/watch?v=Mxso0GJyjSE

2022 05 25 | Royal Hospital Kilmainham, Dublin, Ireland | SelfishxRomance | youtube.com/watch?v=ucoez2VlGVo

2022 05 24 | Royal Hospital Kilmainham, Dublin, Ireland | calumharkness3932 | youtube.com/watch?v=SMLoZotO-S8

2022 05 22 | Stadium MK, Milton Keynes, England | MrDunky123456 | youtube.com/watch?v=DEOicrAKyuk

2022 05 21 | Stadium MK, Milton Keynes, England | ErynnHalvorson | youtube.com/watch?v=xWYsVgDNMMw

2022 05 19 | Stadium MK, Milton Keynes, England | owenpower03 | youtube.com/watch?v=L-notPaM_ow

2022 05 17 | The Eden Project, St Austell, England | keeleyduckworth500 | youtube.com/watch?v=lz5mywxeyoI

2022 05 16 | The Eden Project, St Austell, England | jannersontour8696 | youtube.com/watch?v=q9-GcMktJuA