#AI and environment

[josephkravis]

The Future of AI: A Symphony of Progress for Humanity

AI transforms healthcare, education, and the environment. Discover how humans and technology collaborate for a smarter, more sustainable future.

What’s On My Mind Today? As the sun rises on a new era of technological advancement, the concept of What’s On My Mind Today? AI is no longer just an idea from science fiction; it’s shaping our world in ways that were unimaginable just a few decades ago. From medicine to education, environmental conservation to creative expression, the possibilities seem endless. But this isn’t just about…

[pebblegalaxy]

Google's Greenhouse Gas Dilemma: Balancing AI Expansion and Climate Goals #GoogleEmissions #ClimateChange #AI #Sustainability #GreenTech

Google’s Greenhouse Gas Dilemma: Balancing AI Expansion and Climate Goals In recent years, Google has been at the forefront of technological advancements, driving innovations that have reshaped industries and everyday life. However, its latest environmental report reveals a troubling trend: a significant rise in greenhouse gas emissions. This surge poses a serious challenge to Google’s ambitious…

[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.

[mostlysignssomeportents]

Epic Systems, a lethal health record monopolist

Epic Systems makes the dominant electronic health record (EHR) system in America; if you're a doctor, chances are you are required to use it, and for every hour a doctor spends with a patient, they have to spend two hours doing clinically useless bureaucratic data-entry on an Epic EHR.

How could a product so manifestly unfit for purpose be the absolute market leader? Simple: as Robert Kuttner describes in an excellent feature in The American Prospect, Epic may be a clinical disaster, but it's a profit-generating miracle:

https://prospect.org/health/2024-10-01-epic-dystopia/

At the core of Epic's value proposition is "upcoding," a form of billing fraud that is beloved of hospital administrators, including the "nonprofit" hospitals that generate vast fortunes that are somehow not characterized as profits. Here's a particularly egregious form of upcoding: back in 2020, the Poudre Valley Hospital in Ft Collins, CO locked all its doors except the ER entrance. Every patient entering the hospital, including those receiving absolutely routine care, was therefore processed as an "emergency."

In April 2020, Caitlin Wells Salerno – a pregnant biologist – drove to Poudre Valley with normal labor pains. She walked herself up to obstetrics, declining the offer of a wheelchair, stopping only to snap a cheeky selfie. Nevertheless, the hospital recorded her normal, uncomplicated birth as a Level 5 emergency – comparable to a major heart-attack – and whacked her with a $2755 bill for emergency care:

https://pluralistic.net/2021/10/27/crossing-a-line/#zero-fucks-given

Upcoding has its origins in the Reagan revolution, when the market-worshipping cultists he'd put in charge of health care created the "Prospective Payment System," which paid a lump sum for care. The idea was to incentivize hospitals to provide efficient care, since they could keep the difference between whatever they spent getting you better and the set PPS amount that Medicare would reimburse them. Hospitals responded by inventing upcoding: a patient with controlled, long-term coronary disease who showed up with a broken leg would get coded for the coronary condition and the cast, and the hospital would pocket both lump sums:

https://pluralistic.net/2024/06/13/a-punch-in-the-guts/#hayek-pilled

The reason hospital administrators love Epic, and pay gigantic sums for systemwide software licenses, is directly connected to the two hours that doctors spent filling in Epic forms for every hour they spend treating patients. Epic collects all that extra information in order to identify potential sources of plausible upcodes, which allows hospitals to bill patients, insurers, and Medicare through the nose for routine care. Epic can automatically recode "diabetes with no complications" from a Hierarchical Condition Category code 19 (worth $894.40) as "diabetes with kidney failure," code 18 and 136, which gooses the reimbursement to $1273.60.

Epic snitches on doctors to their bosses, giving them a dashboard to track doctors' compliance with upcoding suggestions. One of Kuttner's doctor sources says her supervisor contacts her with questions like, "That appointment was a 2. Don’t you think it might be a 3?"

Robert Kuttner is the perfect journalist to unravel the Epic scam. As a journalist who wrote for The New England Journal of Medicine, he's got an insider's knowledge of the health industry, and plenty of sources among health professionals. As he tells it, Epic is a cultlike, insular company that employs 12.500 people in its hometown of Verona, WI.

The EHR industry's origins start with a GW Bush-era law called the HITECH Act, which was later folded into Obama's Recovery Act in 2009. Obama provided $27b to hospitals that installed EHR systems. These systems had to more than track patient outcomes – they also provided the data for pay-for-performance incentives. EHRs were already trying to do something very complicated – track health outcomes – but now they were also meant to underpin a cockamamie "incentives" program that was supposed to provide a carrot to the health industry so it would stop killing people and ripping off Medicare. EHRs devolved into obscenely complex spaghetti systems that doctors and nurses loathed on sight.

But there was one group that loved EHRs: hospital administrators and the private companies offering Medicare Advantage plans (which also benefited from upcoding patients in order to soak Uncle Sucker):

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649706/

The spread of EHRs neatly tracks with a spike in upcharging: "from 2014 through 2019, the number of hospital stays billed at the highest severity level increased almost 20 percent…the number of stays billed at each of the other severity levels decreased":

https://oig.hhs.gov/oei/reports/OEI-02-18-00380.pdf

The purpose of a system is what it does. Epic's industry-dominating EHR is great at price-gouging, but it sucks as a clinical tool – it takes 18 keystrokes just to enter a prescription:

https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2729481

Doctors need to see patients, but their bosses demand that they satisfy Epic's endless red tape. Doctors now routinely stay late after work and show up hours early, just to do paperwork. It's not enough. According to another one of Kuttner's sources, doctors routinely copy-and-paste earlier entries into the current one, a practice that generates rampant errors. Some just make up random numbers to fulfill Epic's nonsensical requirements: the same source told Kuttner that when prompted to enter a pain score for his TB patients, he just enters "zero."

Don't worry, Epic has a solution: AI. They've rolled out an "ambient listening" tool that attempts to transcribe everything the doctor and patient say during an exam and then bash it into a visit report. Not only is this prone to the customary mistakes that make AI unsuited to high-stakes, error-sensitive applications, it also represents a profound misunderstanding of the purpose of clinical notes.

The very exercise of organizing your thoughts and reflections about an event – such as a medical exam – into a coherent report makes you apply rigor and perspective to events that otherwise arrive as a series of fleeting impressions and reactions. That's why blogging is such an effective practice:

https://pluralistic.net/2021/05/09/the-memex-method/

The answer to doctors not having time to reflect and organize good notes is to give them more time – not more AI. As another doctor told Kuttner: "Ambient listening is a solution to a self-created problem of requiring too much data entry by clinicians."

EHRs are one of those especially hellish public-private partnerships. Health care doctrine from Reagan to Obama insisted that the system just needed to be exposed to market forces and incentives. EHRs are designed to allow hospitals to win as many of these incentives as possible. Epic's clinical care modules do this by bombarding doctors with low-quality diagnostic suggestions with "little to do with a patient’s actual condition and risks," leading to "alert fatigue," so doctors miss the important alerts in the storm of nonsense elbow-jostling:

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5058605/

Clinicians who actually want to improve the quality of care in their facilities end up recording data manually and keying it into spreadsheets, because they can't get Epic to give them the data they need. Meanwhile, an army of high-priced consultants stand ready to give clinicians advise on getting Epic to do what they need, but can't seem to deliver.

Ironically, one of the benefits that Epic touts is its interoperability: hospitals that buy Epic systems can interconnect those with other Epic systems, and there's a large ecosystem of aftermarket add-ons that work with Epic. But Epic is a product, not a protocol, so its much-touted interop exists entirely on its terms, and at its sufferance. If Epic chooses, a doctor using its products can send files to a doctor using a rival product. But Epic can also veto that activity – and its veto extends to deciding whether a hospital can export their patient records to a competing service and get off Epic altogether.

One major selling point for Epic is its capacity to export "anonymized" data for medical research. Very large patient data-sets like Epic's are reasonably believed to contain many potential medical insights, so medical researchers are very excited at the prospect of interrogating that data.

But Epic's approach – anonymizing files containing the most sensitive information imaginable, about millions of people, and then releasing them to third parties – is a nightmare. "De-identified" data-sets are notoriously vulnerable to "re-identification" and the threat of re-identification only increases every time there's another release or breach, which can used to reveal the identities of people in anonymized records. For example, if you have a database of all the prescribing at a given hospital – a numeric identifier representing the patient, and the time and date when they saw a doctor and got a scrip. At any time in the future, a big location-data breach – say, from Uber or a transit system – can show you which people went back and forth to the hospital at the times that line up with those doctor's appointments, unmasking the person who got abortion meds, cancer meds, psychiatric meds or other sensitive prescriptions.

The fact that anonymized data can – will! – be re-identified doesn't mean we have to give up on the prospect of gleaning insight from medical records. In the UK, the eminent doctor Ben Goldacre and colleagues built an incredible effective, privacy-preserving "trusted research environment" (TRE) to operate on millions of NHS records across a decentralized system of hospitals and trusts without ever moving the data off their own servers:

https://pluralistic.net/2024/03/08/the-fire-of-orodruin/#are-we-the-baddies

The TRE is an open source, transparent server that accepts complex research questions in the form of database queries. These queries are posted to a public server for peer-review and revision, and when they're ready, the TRE sends them to each of the databases where the records are held. Those databases transmit responses to the TRE, which then publishes them. This has been unimaginably successful: the prototype of the TRE launched during the lockdown generated sixty papers in Nature in a matter of months.

Monopolies are inefficient, and Epic's outmoded and dangerous approach to research, along with the roadblocks it puts in the way of clinical excellence, epitomizes the problems with monopoly. America's health care industry is a dumpster fire from top to bottom – from Medicare Advantage to hospital cartels – and allowing Epic to dominate the EHR market has somehow, incredibly, made that system even worse.

Naturally, Kuttner finishes out his article with some antitrust analysis, sketching out how the Sherman Act could be brought to bear on Epic. Something has to be done. Epic's software is one of the many reasons that MDs are leaving the medical profession in droves.

Epic epitomizes the long-standing class war between doctors who want to take care of their patients and hospital executives who want to make a buck off of those patients.

Tor Books as just published two new, free LITTLE BROTHER stories: VIGILANT, about creepy surveillance in distance education; and SPILL, about oil pipelines and indigenous landback.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/10/02/upcoded-to-death/#thanks-obama

Image: Flying Logos (modified) https://commons.wikimedia.org/wiki/File:Over_$1,000,000_dollars_in_USD_$100_bill_stacks.png

CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/deed.en

[popsicle-stick]

stupidest people on gods green earth

[progressive-memes]

[whumpacabra]

I don’t have a posted DNI for a few reasons but in this case I’ll be crystal clear:

I do not want people who use AI in their whump writing (generating scenarios, generating story text, etc.) to follow me or interact with my posts. I also do not consent to any of my writing, posts, or reblogs being used as inputs or data for AI.

[yandere-daydreams]

please PLEASE I’m begging you to make a Yandere Childe bot on c.ai I love the way you write and I just want to have a little deranged version of him in my pocket!! If I can be greedy I’d love another Yandere Childe sex doll au too! I’m on my KNEES🙏

if i ever make a character ai of literally anything at any point i need someone to come to my house and break every bone in my body. if you want smut so bad then write it yourself. there's no soul in those machines and they do NOT know what it is to want to peg a fictional man.

[part-toons]

Mouthful of diamonds

inspired by this scene:

[gezin-yazar]

[nestedneons]

By hakoniwa

[reasonsforhope]

"The world's coral reefs are close to 25 percent larger than we thought. By using satellite images, machine learning and on-ground knowledge from a global network of people living and working on coral reefs, we found an extra 64,000 square kilometers (24,700 square miles) of coral reefs – an area the size of Ireland.

That brings the total size of the planet's shallow reefs (meaning 0-20 meters deep) to 348,000 square kilometers – the size of Germany. This figure represents whole coral reef ecosystems, ranging from sandy-bottomed lagoons with a little coral, to coral rubble flats, to living walls of coral.

Within this 348,000 km² of coral is 80,000 km² where there's a hard bottom – rocks rather than sand. These areas are likely to be home to significant amounts of coral – the places snorkelers and scuba divers most like to visit.

You might wonder why we're finding this out now. Didn't we already know where the world's reefs are?

Previously, we've had to pull data from many different sources, which made it harder to pin down the extent of coral reefs with certainty. But now we have high resolution satellite data covering the entire world – and are able to see reefs as deep as 30 meters down.

Pictured: Geomorphic mapping (left) compared to new reef extent (red shading, right image) in the northern Great Barrier Reef.

[AKA: All the stuff in red on that map is coral reef we did not realize existed!! Coral reefs cover so much more territory than we thought! And that's just one example. (From northern Queensland)]

We coupled this with direct observations and records of coral reefs from over 400 individuals and organizations in countries with coral reefs from all regions, such as the Maldives, Cuba, and Australia.

To produce the maps, we used machine learning techniques to chew through 100 trillion pixels from the Sentinel-2 and Planet Dove CubeSat satellites to make accurate predictions about where coral is – and is not. The team worked with almost 500 researchers and collaborators to make the maps.

The result: the world's first comprehensive map of coral reefs extent, and their composition, produced through the Allen Coral Atlas. [You can see the interactive maps yourself at the link!]

The maps are already proving their worth. Reef management agencies around the world are using them to plan and assess conservation work and threats to reefs."

-via ScienceDirect, February 15, 2024

[mumms-the-word]

anyway folks if you ever see any AI art or AI fic or AI voices of fandom content remember to block those people because none of that shit is ethically generated and will always be theft in some way

[rpmemegraveyard]

This blog will not RP with 'writers' who use AI.

This goes for anything about your blog by the way. Not just writing, but icons, graphics, anything having to do with your blog. Even if you're not transparent about it and think that the AI is 'so good nobody will notice', people will find out, we always do.

This is a creative hobby. Most rational people will understand that not everyone can have fancy graphics & icons, but that doesn't mean you have a machine pull from 100,000+ stolen & scraped pieces of art & other images from multiple unknowing creatives to cobble something together to supposedly make your blog look 'nicer'.

Either make your own icons / graphics, and/or commission someone to make them for you. There's also plenty of free templates for you to check out that take less effort to find than feeding a prompt that's currently responsible for making life harder for creatives such as us. End of.

[fantasyinallforms]

Man...I'm getting really sick of seeing AI in places it dosent belong. Go detect cancer cells and leave my damn art and literature alone. I need an AI fly swatter at this point.

[mindblowingscience]

The algorithms behind generative AI tools like DallE, when combined with physics-based data, can be used to develop better ways to model the Earth's climate. Computer scientists in Seattle and San Diego have now used this combination to create a model that is capable of predicting climate patterns over 100 years 25 times faster than the state of the art. Specifically, the model, called Spherical DYffusion, can project 100 years of climate patterns in 25 hours–a simulation that would take weeks for other models. In addition, existing state-of-the-art models need to run on supercomputers. This model can run on GPU clusters in a research lab.

Continue Reading.