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@risottobias@tech.lgbt
2024-04-01 16:20:17

do you ever just re-invent luddites by accident?
I don't think the problem with AI or robots is themselves (ecological damage and IP theft is still a concern), it's the centralization of capital
spreadsheet software replacing human calculators
like... if you use AI or robotics... it should come from a worker controlled cooperative.
it should not centralize capital into the buy-n-large bezosphere of rent-everything economics.
(this is related to structural unemployment / technological unemployment - and might be a way to introduce someone to the idea of how structural racism is different than they imagine, because technology advancements seem like a force you can't stop or question, entrenched into the fabric of society - when they absolutely should be fair and equitable)

@Techmeme@techhub.social
2024-03-27 12:25:55

Chinese state media: President Xi criticized "technological barriers" during Dutch Prime Minister Mark Rutte's visit to Beijing, as the US curbs ASML exports (Cagan Koc/Bloomberg)
bloomberg.com/news/articles/20

Xi Slams ‘Technological Barriers’ During Dutch Premier’s Visit
Chinese President Xi Jinping criticized “technological barriers” during Dutch Prime Minister Mark Rutte’s visit to Beijing as the US pushes to tighten controls on ASML Holding NV’s chipmaking-equipment sales to the Asian country.

@degrowthuk@mstdn.social
2024-04-01 22:05:59

Some hard facts for the eco-techno-optimists from the always well researched Low Tech magazine.
"Unfortunately, the planned switch to low-carbon energy sources and the electrification of heating and transport technologies will not decrease our dependency on the steel industry – on the contrary."

The high steel intensity of low carbon power sources confronts us with a so-called “catch-22”, a situation in which there seems to be no escape from a problem no matter what we do. We need much more steel if we replace thermal power plants with renewable ones. Because there is not enough steel scrap available, we can only produce that extra steel from iron ore in blast furnaces burning fossil fuels. To address climate change, we need to build low-carbon sources quickly and in great numbers. How…
The continuous growth of the steel output – the increasing steel intensity of human society – makes sustainable steel production impossible. No technology can change that because it’s not a technological problem. Like forestry can only be sustainable if the wood demand does not exceed the wood supply, steel is sustainable or not depending on the balance between (scrap) supply and (steel) demand. We may not be able to escape the Iron Age, but we have an option to escape the catch-22 that inextri…

How to Escape From the Iron Age?
We cannot lower carbon emissions if we keep producing steel with fossil fuels.

@netzschleuder@social.skewed.de
2024-05-03 05:00:06

python_dependency: Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.
This network has 58743 nodes and 108399 edges.
Tags: Technological, Software, Unweighted
n…

python_dependency: Python Dependency Network. 58743 nodes, 108399 edges. https://networks.skewed.de/net/python_dependency

python_dependency — Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.

@netzschleuder@social.skewed.de
2024-05-03 05:00:06

python_dependency: Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.
This network has 58743 nodes and 108399 edges.
Tags: Technological, Software, Unweighted
n…

python_dependency: Python Dependency Network. 58743 nodes, 108399 edges. https://networks.skewed.de/net/python_dependency

python_dependency — Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.

@netzschleuder@social.skewed.de
2024-04-01 21:00:05

software_dependencies: Software dependencies (2010)
Several networks of software dependencies. Nodes represent libraries and a directed edge denotes a library dependency on another.
This network has 282 nodes and 893 edges.
Tags: Technological, Software, Unweighted
networks.s…

software_dependencies: Software dependencies (2010). 282 nodes, 893 edges. https://networks.skewed.de/net/software_dependencies#jmail

software_dependencies — Software dependencies (2010)
Several networks of software dependencies. Nodes represent libraries and a directed edge denotes a library dependency on another.

@netzschleuder@social.skewed.de
2024-04-01 19:00:07

python_dependency: Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.
This network has 58743 nodes and 108399 edges.
Tags: Technological, Software, Unweighted
n…

python_dependency: Python Dependency Network. 58743 nodes, 108399 edges. https://networks.skewed.de/net/python_dependency

python_dependency — Python Dependency Network
Python's package dependency networks. Nodes in the network are Python's packages registered to PyPI and edges are dependencies among packages.

@netzschleuder@social.skewed.de
2024-03-01 15:00:05

power: Western US Power Grid
A network representing the Western States Power Grid of the United States, in which nodes are transforms or power relay points and two nodes are connected if a power line runs between them.
This network has 4941 nodes and 6594 edges.
Tags: Technological, Power grid, Unweighted

power: Western US Power Grid. 4941 nodes, 6594 edges. https://networks.skewed.de/net/power

power — Western US Power Grid
A network representing the Western States Power Grid of the United States, in which nodes are transforms or power relay points and two nodes are connected if a power line runs between them.

@netzschleuder@social.skewed.de
2024-03-01 15:00:05

power: Western US Power Grid
A network representing the Western States Power Grid of the United States, in which nodes are transforms or power relay points and two nodes are connected if a power line runs between them.
This network has 4941 nodes and 6594 edges.
Tags: Technological, Power grid, Unweighted

power: Western US Power Grid. 4941 nodes, 6594 edges. https://networks.skewed.de/net/power

power — Western US Power Grid
A network representing the Western States Power Grid of the United States, in which nodes are transforms or power relay points and two nodes are connected if a power line runs between them.

@netzschleuder@social.skewed.de
2024-03-02 14:00:06

jung: JUNG and javax class dependencies (2012)
A network of software class dependency within the JUNG 2.0.1 and javax 1.6.0.7 library namespaces edu.uci.ics.jung and java/javax. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6120 nodes and 138706 edges.
Tags: Technological, Software, Unweighted

jung: JUNG and javax class dependencies (2012). 6120 nodes, 138706 edges. https://networks.skewed.de/net/jung

jung — JUNG and javax class dependencies (2012)
A network of software class dependency within the JUNG 2.0.1 and javax 1.6.0.7 library namespaces edu.uci.ics.jung and java/javax. Nodes represent classes and a directed edge indicates a dependency of one class on another.