(9/n) Unsurprisingly this is not just a UK thing:

"Welcome to Gas Land - how natural gas is powering the US AI boom"

https://www.datacenterdynamics.com/en/analysis/welcome-to-gas-land-how-natural-gas-is-powering-the-us-ai-boom/

"Aramco CEO says Saudi Arabia’s cheap energy will turn kingdom into a global AI data center leader"

https://www.cnbc.com/2025/11/04/aramco-saudi-arabia-ai-data-center.html

"A significant portion of Armaco’s capital spending is going toward boosting natural gas production more than 60% by 2030 "

#FrugalComputing

This is pretty terrible:

"Key role for gas networks in powering data centres of the future"

https://eua-utilitynetworks.org.uk/news/key-role-for-gas-networks-in-powering-data-centres-of-the-future

Let's just look at the highlights:

#FrugalComputing

(1/n)

Another interesting report on the finances of the AI bubble:

"Bubble or Nothing" by the Center for Public Enterprise

https://publicenterprise.org/report/bubble-or-nothing/

(1/3)
#FrugalComputing #AIBubble

(5/n) In short, all this does is delay the phasing out of the use of fossil fuels.

It's just a pathway I had not considered before and to my mind a truly evil one.

#FrugalComputing

This is pretty terrible:

"Key role for gas networks in powering data centres of the future"

https://eua-utilitynetworks.org.uk/news/key-role-for-gas-networks-in-powering-data-centres-of-the-future

Let's just look at the highlights:

#FrugalComputing

(1/n)

Another interesting report on the finances of the AI bubble:

"Bubble or Nothing" by the Center for Public Enterprise

https://publicenterprise.org/report/bubble-or-nothing/

(1/3)
#FrugalComputing #AIBubble

Considering this format is used to encode & archive most of modern research/knowledge/information, I also see this inherent complexity as a gigantic threat in terms of #PermaComputing, #CollapseComputing, #FrugalComputing. I think there's a need for something like https://qoiformat.org/, i.e. simplifying, rethinking and omitting some of the features in PDF in lieu of increased simplicity, longevity & usability in lower compute resource environments/futures...

Considering this format is used to encode & archive most of modern research/knowledge/information, I also see this inherent complexity as a gigantic threat in terms of #PermaComputing, #CollapseComputing, #FrugalComputing. I think there's a need for something like https://qoiformat.org/, i.e. simplifying, rethinking and omitting some of the features in PDF in lieu of increased simplicity, longevity & usability in lower compute resource environments/futures...

As maintainer of OSS Python scientific libraries, I'm seeing more users sharing screenshots of their error messages instead of copying and pasting them as text. I'm not sure why that's happening. But here's an advice:

Please, share plain text!

Because:
* Text is lightweight to send and store. #FrugalComputing
* Text is accessible: not all of us can see images.
* Text is easily parseable: I can search through it, copy it, paste it, quote it, reuse it.

Green Compute UK -- The repository for Green Software Engineering (GSE).

This repository covers best practises and current research into all elements of Green Software Engineering.

https://greencompute.uk

#FrugalComputing

Green Compute UK -- The repository for Green Software Engineering (GSE).

This repository covers best practises and current research into all elements of Green Software Engineering.

https://greencompute.uk

#FrugalComputing

Playing with compar:IA, the new LLM chatbot comparison arena created by the French government: https://comparia.beta.gouv.fr

I particularly like the "frugal" mode that allows you to compare two randomly chosen small/cheap models against each other! It's great for testing many different models suitable for local hosting on a particular task.

After each chat session, it also shows you an estimate of the energy consumed by each model!

#AI #LLM #FrugalComputing #LocalLlama #chatbot

Playing with compar:IA, the new LLM chatbot comparison arena created by the French government: https://comparia.beta.gouv.fr

I particularly like the "frugal" mode that allows you to compare two randomly chosen small/cheap models against each other! It's great for testing many different models suitable for local hosting on a particular task.

After each chat session, it also shows you an estimate of the energy consumed by each model!

#AI #LLM #FrugalComputing #LocalLlama #chatbot

"Minimal Computing" by the Digital Humanities Climate Coalition

https://sas-dhrh.github.io/dhcc-toolkit/toolkit/minimal-computing.html

#FrugalComputing

"Minimal Computing" by the Digital Humanities Climate Coalition

https://sas-dhrh.github.io/dhcc-toolkit/toolkit/minimal-computing.html

#FrugalComputing

I wrote a paper that I am proud of:

"Modelling Scenarios for Carbon-aware Geographic Load Shifting of Compute Workloads"

It evaluates the scope for emission reductions of moving work between data centres in high-emission regions and low-emission regions.

tl;dr: the potential emission savings are no more than a few percent.

I have submitted it to a journal, it's under review but you can read the preprint here: https://arxiv.org/abs/2509.07043

#FrugalComputing

To illustrate this, here is a graph from the paper. It shows the number of years of growth you can compensate through saving of emissions by any means except reducing the growth.
If your savings are <10%, you can compensate a few months. If it's around 50%, you can compensate a few years of growth. To compensate order of 10 years of growth you need to reduce emissions by more than 80%.
(4/4)

#FrugalComputing