gopher://gopher.ynfonatic.de/1/~alex/
Now let's figure out how to migrate Jekyll/Markdown content to gophermaps.
#gopher #frugalcomputing
@samuel @doktorzjivago @nichobi
I was just reading about #frugalComputing and found myself thinking of #Precursor
It feels to me like it would be a good fit for something like #deltaChat
https://vimeo.com/473293886
https://www.crowdsupply.com/sutajio-kosagi/precursor
And now, our software boots up on our hardware prototype of the #SmolPhone The keyboard kinda works, too. More work in the future but OK for now.
The substrate is able to display a "modern" UI with buttons, text areas, labels, checkbox and such under the RP2040 constraints (about 200k of RAM but rather OK compute power).
The goal is to allow users to build apps with lua scripts, as in #Scrappy https://jrcpl.us/contrib/2025/Scrappy Maybe before the end of the year, if we're lucky.
@ZLabe
Different reasons, but coincidentally, “What can I do with my laptop and existing data sets?" is basically the title of the research project I'm writing for my tenure. It's also what I've been trying to do in the last few years and where I want to be heading. #frugalmodelling #frugalcomputing #degrowth 🐌
Of course, funding science, especially climate science, is vital! I'd just advocate for hiring more people and write smarter models, rather than using larger computers.
IBM's new processor-in-memory (which is, besides, not a new idea, and for AI it's mostly MACC-in-memory) will reduce the energy consumption per computation for LLMs.
But if energy efficiency gains would reduce emissions, we would not have climate change. The entire history of the industrial revolution starting with the steam engine is one of energy efficiency gains.
#FrugalComputing
New blog post about the #SmolPhone (our take on #FrugalComputing): I gave a short talk about it, and decided to write the things I usually say. It's here: https://people.irisa.fr/Martin.Quinson/blog/250528/Smolphone-Magellan/
I think that the result is a nice introduction to the project. Please comment and tell us what you think of it!
Now, that 10x growth is not what OpenAI, Dell etc want. No, they want 100x growth.
For what that would mean:
Global GHG emissions are 57.1 GtCO2e/y (2023 figure; probably 1-2% more now).
So there's two ways to look at this:
(1) The apologist: So even if AI results in extra emissions of 4 GtCO2e/y (*) by 2035, that is less than 7%, surely that is not an issue.
(2) The climate reality: to stay below 1.5ºC the global CO2 budget for 2035 is 25 GtCO2e/y. Sacrificing 16% of that for AI growth is madness.
https://www.unep.org/resources/emissions-gap-report-2024
(*) my estimate based on 10x AI growth in 10y
As climate impacts intensify globally, the Emissions Gap Report 2024: No more hot air … please! finds that nations must deliver dramatically stronger ambition and action in the next round of Nationally Determined Contributions or the Paris Agreement’s 1.5°C goal will be gone within a few years. The report is the 15th edition in a series that brings together many of the world’s top climate scientists to look at future trends in greenhouse gas emissions and provide potential solutions to the challenge of global warming.