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Sort of true. But the current AI boom is like putting an oil well on every corner because we are planning to sell a gas guzzling Suburban to everyone in the next year. There are other solutions for transport, not everyone will buy a suburban, and if they did we probably still won't pump oil from all these new wells.
Data and compute are certainly part of our new economy (Amazon makes more from compute than it does selling trinkets). The concern you are seeing is about the large resources being put into this (money, concrete, RAM, electrical infrastructure, water resource allocation), with an unknown return, and little or no benefit to most of the communities that are going to wind up dealing with them.
There were so many ways they could have rolled out AI to the public to show that they were altruistic in providing "AI for GOOD". But instead they came in throwing elbows, Get out of our way, we're AI and we run the economy now. The Trump economy already raising prices all over the place and now you have to pay extra so the AI guys can have all the power. Instead they could have come to town like Santa with bags of goodies, Solar panels for the whole town, Heat Pumps, EV chargers, Batteries etc. Things that they could have used to power up their data centers and given people shit for free. But they decided the Grinch method was the way to go.
Add in having Elon Musk as your poster boy and no wonder people are scared. I don't see that guy using "AI for GOOD" do you?
Imperial College London Multi-Model AI Repurposes Drugs Against Superbugs: In a study published in Advanced Science, researchers at Imperial College London deployed three distinct machine learning ensembles (graph neural networks, decision tree ensembles, and sequence models) to screen 7,000 candidate compounds against Streptococcus pneumoniaeâa primary cause of drug-resistant pneumonia and meningitis. The multi-model AI system successfully identified nine approved drugs with high inhibitory action, including one highly effective against severe antibiotic-resistant strains, offering a fast, low-cost path to combat superbugs without years of new drug development. Read the full release on EurekAlert!.
New Public Health Framework Demands "Health-Literate AI": Published in Nature Human Behaviour, public health and medical experts introduced a four-pillar framework designed to govern how AI models deliver clinical advice. Rather than focusing solely on technical accuracy, "Health-Literate AI" evaluates whether patients can actually comprehend the output, act on the guidance safely, and recognize uncertainty. The framework provides health systems and regulators with actionable criteria to prevent algorithmic miscommunication in high-stakes medical situations. Read the open-access breakdown on EurekAlert!.
Dr. Alex Wissner-Grossâs The Innermost Loop (Sept 13, 2026 Edition): In his latest update, "Welcome to September 13, 2026. The Singularity just got its first formal request to slow down from the people building it, and the strangest part is the guest list," Dr. Wissner-Gross analyzes the convergence of top frontier model developers and global governance bodies establishing formal thresholds for autonomous model deployment and high-velocity compute scaling. Read the full commentary on The Innermost Loop.
AI & Tomography Pair to Virtua-Unroll Carbonized Ancient Manuscripts: Researchers from UC Berkeley, NIST, and PLOS ONE published a breakthrough combining X-ray fluorescence, tomographic scanning, and AI unrolling algorithms to read carbonized Herculaneum papyri destroyed during the eruption of Mt. Vesuvius in 79 CE. By training neural networks on recreated carbonized scrolls with known lead-ink signatures, the system unlocks lost ancient literary, philosophical, and historical texts previously deemed too fragile to open. Read the study details on EurekAlert!.
Sort of true. But the current AI boom is like putting an oil well on every corner because we are planning to sell a gas guzzling Suburban to everyone in the next year. There are other solutions for transport, not everyone will buy a suburban, and if they did we probably still won't pump oil from all these new wells.
Data and compute are certainly part of our new economy (Amazon makes more from compute than it does selling trinkets). The concern you are seeing is about the large resources being put into this (money, concrete, RAM, electrical infrastructure, water resource allocation), with an unknown return, and little or no benefit to most of the communities that are going to wind up dealing with them.
OIL was the "it" technology for over a century. Now we find it's irrevocable effect on the planet. The so-called National Security race for A.I. against China is absurd. They are already eating our lunch regarding EV's in advancement, production and cost. Hello, Prediction Markets â I'm betting by 2030, American Auto makers will beg for a bailout.
There were data centers long before Trump and they will be here long after he's gone. Trump in all of foolishness is irrelevant. The last time I looked, the USA has over 4,000 data centers. Without them life would cease as we know it. Literally everything we use is touched by electricity, data and compute. Earth needs more, not less. There seems to be a flare up of data center concern and/or paranoia lately. Why? If we moved them to rural areas and had behind the meter energy generation with solar, nat gas or better yet nuclear would that be acceptable?
Regards
Sort of true. But the current AI boom is like putting an oil well on every corner because we are planning to sell a gas guzzling Suburban to everyone in the next year. There are other solutions for transport, not everyone will buy a suburban, and if they did we probably still won't pump oil from all these new wells.
Data and compute are certainly part of our new economy (Amazon makes more from compute than it does selling trinkets). The concern you are seeing is about the large resources being put into this (money, concrete, RAM, electrical infrastructure, water resource allocation), with an unknown return, and little or no benefit to most of the communities that are going to wind up dealing with them.
I was in the industry up until ~ 2017. We were a small provider, but we did some really innovative things. Our larger data center was very high power density and also super efficient. We worked closely with the local power provider and were the largest single contributor to their conservation programs for 3 years in a row. I spent a LOT of money being green. I did it partly because I'm a nerd and I don't want to polute the planet. But it was an easy economic sell - typical ROI on our projects was 3-4 years, and it was usually 20 year lifecycle equipment.
The way the current builders waste money is what worries me now. The green impacts are legitimate too, but the simple shortsightedness is odd. For a bunch of smart guys that are infatuated with money, they all seem to be placing big bets, and not all of them will win. There are lots of ways to do it differently, make it more sustainable and have a long term view. But these guys just go out and swing for the fences. I think most of them have already insulated themselves personally from any failures. So why not go big, and try to be the next trillionaire? if it fails, you will just shuffle the failure off to the shareholders, or community, or go ask for a bailout.
There were data centers long before Trump and they will be here long after he's gone. Trump in all of foolishness is irrelevant. The last time I looked, the USA has over 4,000 data centers. Without them life would cease as we know it. Literally everything we use is touched by electricity, data and compute. Earth needs more, not less. There seems to be a flare up of data center concern and/or paranoia lately. Why? If we moved them to rural areas and had behind the meter energy generation with solar, nat gas or better yet nuclear would that be acceptable?
Regards
Appreciate the discourse. Always ready to learn
That 'rural' thang (sounds good to me) has run into a big Ruby Red snag in Texas, with MAGA ranchers, farmers and old landowners spittin nails. These good ol boys are talking about the blasphemous move of voting for a Democrat. Abbott has passed laws preventing local voices from having any rights or input regarding DC site construction. They are a pissed bunch.
I dont disagree....but "perhaps" the reason for the growing concern is the level/pace of recent investment, chasing Ai.
eg, Google, Meta, Microsoft and Amzn alone are investing ~$1T just this year.
I was in the industry up until ~ 2017. We were a small provider, but we did some really innovative things. Our larger data center was very high power density and also super efficient. We worked closely with the local power provider and were the largest single contributor to their conservation programs for 3 years in a row. I spent a LOT of money being green. I did it partly because I'm a nerd and I don't want to polute the planet. But it was an easy economic sell - typical ROI on our projects was 3-4 years, and it was usually 20 year lifecycle equipment.
The way the current builders waste money is what worries me now. The green impacts are legitimate too, but the simple shortsightedness is odd. For a bunch of smart guys that are infatuated with money, they all seem to be placing big bets, and not all of them will win. There are lots of ways to do it differently, make it more sustainable and have a long term view. But these guys just go out and swing for the fences. I think most of them have already insulated themselves personally from any failures. So why not go big, and try to be the next trillionaire? if it fails, you will just shuffle the failure off to the shareholders, or community, or go ask for a bailout.
There were data centers long before Trump and they will be here long after he's gone. Trump in all of foolishness is irrelevant. The last time I looked, the USA has over 4,000 data centers. Without them life would cease as we know it. Literally everything we use is touched by electricity, data and compute. Earth needs more, not less. There seems to be a flare up of data center concern and/or paranoia lately. Why? If we moved them to rural areas and had behind the meter energy generation with solar, nat gas or better yet nuclear would that be acceptable?
Regards
I dont disagree....but "perhaps" the reason for the growing concern is the level/pace of recent investment, chasing Ai.
eg, Google, Meta, Microsoft and Amzn alone are investing ~$1T just this year.
TL;DR: Todayâs top "AI for Good" developments feature the launch of a major open-science biological design initiative led by a Nobel laureate, digital twin modeling for virtual clinical trials, and fresh frameworks for evaluating AI outcomes in public service.
Multimodal AI "Digital Twins" Enable Virtual Clinical Trials: Research presented at the Fred Hutch AI Club detailed how multimodal generative AI models (such as PubMedBERT and BiomedParse) are constructing virtual patient "digital twins" from longitudinal electronic health records, imaging, and multiomics data. By simulating disease progression and population-scale drug interactions, the framework enables virtual clinical trials that cut traditional multi-million-dollar R&D timelines while personalizing precision health pathways. Explore the session background on >"="" href="https://www.fredhutch.org/en/events/ai-club-sept-2026.html" data-hveid="0" decode-data-ved="1" data-ved="0CAAQ_4QMahgKEwiMtOWRm9WWAxUAAAAAHQAAAAAQ8wI">Fred Hutch Events.
Miamizun wrote: Half of the dedicated capital is directed specifically toward "Green AI"âdeveloping model architectures and training pipelines focused on reducing algorithmic energy usage and carbon footprints, alongside hybrid models designed for environmental modeling.
___________________________________________________________
Unfortunately, that will not be the immediate future and certainly not here in the U.S. if Trump mentality reigns. The AI DCs that are already functioning, those being built and those about to go online are NOT all loop cooling systems or utility regulated. The constant humming, the light pollution, emissions from back up generators are still en route to average American's backyards.
Texas is experiencing a massive data center boom with over 300 operating facilities, 200 planned projects and nearly 100 under construction.
The decimation of US geography and communities is the price we pay for this alleged 'good' from AI?
There were data centers long before Trump and they will be here long after he's gone. Trump in all of foolishness is irrelevant. The last time I looked, the USA has over 4,000 data centers. Without them life would cease as we know it. Literally everything we use is touched by electricity, data and compute. Earth needs more, not less. There seems to be a flare up of data center concern and/or paranoia lately. Why? If we moved them to rural areas and had behind the meter energy generation with solar, nat gas or better yet nuclear would that be acceptable?
Miamizun wrote: Half of the dedicated capital is directed specifically toward "Green AI"âdeveloping model architectures and training pipelines focused on reducing algorithmic energy usage and carbon footprints, alongside hybrid models designed for environmental modeling.
___________________________________________________________
Unfortunately, that will not be the immediate future and certainly not here in the U.S. if Trump mentality reigns. The AI DCs that are already functioning, those being built and those about to go online are NOT all loop cooling systems or utility regulated. The constant humming, the light pollution, emissions from back up generators are still en route to average American's backyards.
Texas is experiencing a massive data center boom with over 300 operating facilities, 200 planned projects and nearly 100 under construction.
The decimation of US geography and communities is the price we pay for this alleged 'good' from AI?
gleaning a biotech conference material and the thing that everyone wants is more AI/compute
seems cancer is at the top of most hit lists...
TL;DR: Todayâs top "AI for Good" developments feature a 1,000x cost reduction in virtual drug discovery published in Nature Biotechnology, a collaborative global cancer initiative from Harvard, MIT, and Johns Hopkins, and a European public funding framework dedicated to sustainable "Green AI."
ARPA-H $98.5M AI Rare Disease Program Enters Operational Phase: Following its recent award allocations, the Advanced Research Projects Agency for Health (ARPA-H) is onboarding participating medical centers to aggregate unified genomic and EHR datasets. The privacy-preserving AI network aims to systematically shorten the multi-year diagnostic path for millions of rare disease patients worldwide. Read the official update on >"="" href="https://arpa-h.gov/news-and-events/arpa-h-announces-awards-advance-ai-rare-disease-diagnosis-and-treatment" data-hveid="6">ARPA-H.
According to the article, artificial intelligence and machine learning are being used to accelerate discovery by analyzing complex biological datasets, modeling molecular interactions, and helping scientists move from understanding biology to designing therapeutics more efficiently.
Data Analysis: AI algorithms parse through increasingly complex biological datasets that would be exceedingly difficult to analyze manually.
Molecular Modeling: Machine learning helps model complex molecular interactions, allowing researchers to generate stronger hypotheses regarding disease-driving targets.
Therapeutic Design: These computational tools shorten the timeline between biological discovery and the development of actionable modalities like targeted protein degradation.
Published Wed, Aug 19 20266:46 AM EDT Updated 2 Hours Ago
Key Points
An experimental personalized cancer vaccine from Merck and Moderna showed positive initial results in its first-ever late-stage trial.
The combination regimen met the main study goal of significantly extending the time patients lived without their melanoma returning, compared with Keytruda alone, and also reduced the risk of the cancer spreading to distant parts of the body.
The initial data suggests that the combo could serve as a new treatment option for the deadliest form of skin cancer, and validate a new personalized treatment approach.
Scientific and medical research is where is belongs - not in creativity.
Published Wed, Aug 19 20266:46 AM EDT Updated 2 Hours Ago
Key Points
An experimental personalized cancer vaccine from Merck and Moderna showed positive initial results in its first-ever late-stage trial.
The combination regimen met the main study goal of significantly extending the time patients lived without their melanoma returning, compared with Keytruda alone, and also reduced the risk of the cancer spreading to distant parts of the body.
The initial data suggests that the combo could serve as a new treatment option for the deadliest form of skin cancer, and validate a new personalized treatment approach.
J, while public discourse often fixates on the disruptive risks of artificial intelligence, its empirical application is already driving measurable improvements in fields like medicine and resource management. Machine learning algorithms excel at identifying complex patterns within massive datasets, accelerating practical breakthroughs such as the design of personalized cancer therapeutics. By treating AI as a powerful analytical tool rather than a speculative threat, researchers are actively deploying it to solve previously intractable human challenges.
- Rex
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