#cyberspace — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #cyberspace, aggregated by home.social.
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CW: Schattenwelten - Geheime Mächte regieren die Welt - Auf den Schlachtfeldern der Zukunft
Schattenwelten - Geheime Mächte regieren die Welt
Auf den Schlachtfeldern der Zukunft
UT12 , 44 Min. , 09.12.2021
Es ist ein Krieg, den es offiziell gar nicht gibt: Im Schattenkrieg werden Konflikte ausgetragen, in denen Söldner, Hacker und Drohnen an die Stelle regulärer Armeen treten.
Details
Staaten entziehen sich ihrer Verantwortung und treiben die Privatisierung der Gewalt voran. Der Krieg in der Grauzone ist ein wachsendes Geschäft: Söldner und eine digitale Waffenindustrie führen Angriffe durch, deren Auftraggeber im Dunkeln bleiben möchten.
Der Krieg der Zukunft
Nachdem die USA sich trotz ihrer überlegenen Armee in zwei endlosen Kriegen verausgabt haben, holt die Supermacht ihre Soldaten nach Hause. Doch während die Hightech-Armee am Hindukusch gescheitert ist, sichern die USA jenseits der offiziellen Kriegsgebiete ihre Überlegenheit mit Spezialeinheiten, gezielten Tötungen per Drohne, #Hacks und Überwachungstechnologien. Damit verschwimmen die Grenzen zwischen Krieg und #Frieden.
Der Krieg der Zukunft spielt sich zunehmend in einer Grauzone ab, wie etwa in der Ukraine. Die Dokumentation zeichnet nach, wie russische Söldner und Hacker das Land destabilisierten und weiter spalteten. Ukrainische, amerikanische und deutsche Experten sprechen über den bislang verheerendsten Cyberangriff der Geschichte: NotPetya, der in der Ukraine seinen Ausgangspunkt nahm.
Hacker, Söldner, Drohnen
Die vergangenen zehn Jahre waren auch ein Jahrzehnt der Aufrüstung im #Cyberspace. Hacking ist ein blühendes Geschäft geworden, das auch stark von Staaten subventioniert wurde. Digitale Söldner verkaufen Spionagesoftware an autoritäre Regime. Kriminelle Hacker greifen für ihre #Kunden jedes Ziel an, mit dem sich Geld verdienen lässt, etwa mit Erpressersoftware.
Doch auch das klassische Söldnergeschäft boomt, weil Staaten ihre offiziellen Armeen nicht mehr in den Kampf ziehen lassen wollen. Der ehemalige Söldner Sean McFate berichtet über ein Geschäft, das sich seine eigene Nachfrage schafft: "Die Welt der Söldner ist eine Welt, die im Krieg versinkt", warnt er.
Während Kriege sich zunehmend im Schatten abspielen, ziehen die USA sich aus den konventionellen Kriegen zurück. Stattdessen schicken sie Drohnen in entlegene Kampfgebiete, um ihre Gegner auszuschalten - oder die, die sie dafür halten. Denn Drohnenangriffe sind nicht so präzise, wie sie scheinen. Erstmals sprechen in dieser Dokumentation Khaled und Ahmed bin Ali Jaber, die zwei Familienmitglieder bei einem US-Drohnenangriff im Jemen verloren haben. Die Familie hat auch die #Bundesregierung angeklagt, weil der Angriff über die #Ramstein Air Base gesteuert wurde.
Jenseits der medialen Wahrnehmung
Die Dokumentationsreihe
" #Schattenwelten" zeigt in fünf Folgen Entwicklungen und Strukturen auf, die es selten bis in die #Nachrichten schaffen. Und häufig werden die einzelnen News nicht miteinander verknüpft, sodass die Bedrohungen für Staaten und Gesellschaften weiter im Schatten bleiben. Von Cyberwar, Organisierter Kriminalität bis Propagandaschlachten: Unter der Oberfläche der medialen Wahrnehmung gibt es eine ganz andere Realität. -
The #RedCross plans to extend its protection to #cyberspace - SWI swissinfo.ch
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The #RedCross plans to extend its protection to #cyberspace - SWI swissinfo.ch
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Ich kann mich der Leseempfehlung nur anschließen. Habe die drei Bände Anfang der 1990er in der ursprünglichen Heyne-Ausgabe gelesen. Die Übersetzung war tatsächlich auffällig (für mich), aber mit Mitdenken überhaupt kein Problem. Wie soll ich es sagen: Ich fühlte die Bedeutung ...im Text und insgesamt ..
#AI #Buch #Cyberpunk #Cyberspace #Dystopie #KI #Leseempfehlung #Literatur #Neuromancer #WilliamGibson #Wintermute -
Ich kann mich der Leseempfehlung nur anschließen. Habe die drei Bände Anfang der 1990er in der ursprünglichen Heyne-Ausgabe gelesen. Die Übersetzung war tatsächlich auffällig (für mich), aber mit Mitdenken überhaupt kein Problem. Wie soll ich es sagen: Ich fühlte die Bedeutung ...im Text und insgesamt ..
#AI #Buch #Cyberpunk #Cyberspace #Dystopie #KI #Leseempfehlung #Literatur #Neuromancer #WilliamGibson #Wintermute -
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Wer verstehen will, was Musk nicht versteht, muss dieses Buch lesen
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"Unsterbliche Milliardäre, Rechenzentren im All und eine KI, die erwacht: Apple macht aus »Neuromancer« eine TV-Serie. Was William Gibson im Roman als Dystopie beschrieb, behandeln die KI-Fürsten von heute als Bauplan."26.7.2026
#AI #Buch #Cyberpunk #Cyberspace #Dystopie #KI #Leseempfehlung #Literatur #Neuromancer #WilliamGibson #Wintermute
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"
Wer verstehen will, was Musk nicht versteht, muss dieses Buch lesen
"
"Unsterbliche Milliardäre, Rechenzentren im All und eine KI, die erwacht: Apple macht aus »Neuromancer« eine TV-Serie. Was William Gibson im Roman als Dystopie beschrieb, behandeln die KI-Fürsten von heute als Bauplan."26.7.2026
#AI #Buch #Cyberpunk #Cyberspace #Dystopie #KI #Leseempfehlung #Literatur #Neuromancer #WilliamGibson #Wintermute
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“…the Cyberspace Administration of #China, the country’s #cyberspace regulator, has released new rules for the virtual digital humans.
They require that people consent to the use of their personal information, appearance or voice.
And companies are banned from providing children and young people with virtual relatives or virtual intimate relationships, and from creating services that could lead to children becoming addicted to virtual human services.”
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“…the Cyberspace Administration of #China, the country’s #cyberspace regulator, has released new rules for the virtual digital humans.
They require that people consent to the use of their personal information, appearance or voice.
And companies are banned from providing children and young people with virtual relatives or virtual intimate relationships, and from creating services that could lead to children becoming addicted to virtual human services.”
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@tinker In the near future, #AIslop in #cyberspace will be the asbestos in the buildings of real space of yesteryear. Very expensive and inconvenient to remove. We’ve been warned.
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@tinker In the near future, #AIslop in #cyberspace will be the asbestos in the buildings of real space of yesteryear. Very expensive and inconvenient to remove. We’ve been warned.
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“Technology doesn’t force us… it merely opens the door”*…
The estimable Tim O’Reilly reminds us to think deeply about how AI could and should turn out. He suggests that Jeff Ding‘s diffusion theory of the role of technology in great-power competition also applies to AI adoption– and that it suggests that companies obsessed with the frontier might be optimizing for the wrong thing…
In the 1980s, Japan led the world in semiconductors, consumer electronics, and computer hardware, the industries everyone assumed would decide the next phase of economic power. Japan won them and still did not overtake the United States in the information revolution that followed. Jeff Ding, a political scientist at George Washington University, opens his book Technology and the Rise of Great Powers with the history of the first and second industrial revolutions and the third, the information revolution. The explanation he gives for who wins and who loses applies to companies as well as it does to nations, and very much to the current trajectory of AI.
Ding contrasts two theories of how technological revolutions reshape economic power. The conventional one he calls the leading sector model, or LS theory. It goes like this: New technologies create fast-growing new industries like steel and railroads and automobiles and semiconductors, and the country that dominates invention in those sectors captures the monopoly profits and the upstream and downstream economic linkages that come with them. As the story goes, if you win the leading sector, you win the era. Britain won in the first industrial revolution through its mastery of steam power, and then was surpassed by the US in the second through its leadership in electrification, the internal combustion engine, and mass manufacturing. The US kept its lead over Japan in the information systems revolution not by competing in the “leading sector” of electronic hardware but by diffusing “up the stack” via software that took the power of computing into every sector of the economy. (OK, that last bit is my explanation of what happened rather than Ding’s, but it’s consistent with his theory.)
Leading Sector theory is pretty clearly the working hypothesis of today’s AI industry and the national strategy that is forming around that industry. The company and the country with the biggest and best models wins. Everyone else is an also-ran.
Ding offers another explanation, which he calls diffusion theory. He points out that general-purpose technologies, foundational ones like the steam engine, electricity, and the computer, don’t just create massive profits and productivity gains in a single industry but instead spread across the whole economy. National economic leadership comes not from inventing the new sector but from diffusing the general-purpose technology more quickly and more broadly than your rivals. This happens over decades. The win goes to whoever most successfully embeds the technology into a wide range of ordinary productive work. This is how the US kept its lead over Japan rather than being surpassed by it.
This is obviously aligned with the thinking of Arvind Narayanan and Sayash Kapoor in “AI as Normal Technology,” which Ding cites in his book.
A big part of what enables diffusion is what Ding calls skill infrastructure, the education and training systems that widen the pool of people who can actually work with the technology. When the priority is widespread adoption rather than invention, he argues, the institutions that matter are the ones that build engineering skill at scale, standardize good practice, and tie research to industry. He writes:
GPT diffusion theory highlights the importance of GPT [General Purpose Technology] skill infrastructure. Education and training systems that widen the pool of engineering skills and knowledge linked to a GPT. When widespread adoption of GPTs is the priority, it is ordinary engineers, not heroic inventors, who matter.
Music to my ears, as it should be to yours: “It is ordinary engineers, not heroic inventors, who matter.”
That is not how the current AI narrative goes. Everyone is fixated on the labs, the frontier models, and the most famous researchers. And that fixation shapes enterprise strategy. Inside many companies AI strategy is a procurement decision: Which model and which vendor and which flagship tool should we choose? Or it’s a moonshot to stand up a lab and build an impressive demo and hire your own famous developer. Both approaches treat AI as a sector to be won. Ding’s argument is that the breakthrough sector itself is not where the long-term value for national power lives. And I believe that the same applies to corporate success. The value is in how widely and how well the technology gets embedded into the work of the people you already employ. The company that puts AI to work in finance and support and legal and sales and operations, across every unglamorous process, as well as in product and engineering, outperforms its competitors and drives its industry forward.
The reason diffusion takes a long time is that it is an organizational problem and not a technical one…
[Tim elaborates, and specifies the requirements for successful management of what is an “enterprise transformation problem”; he then unpacks the geopolitics of AI. He concludes…]
… Sovereign AI is not just a matter of national power. It is a predictable consequence of diffusion. A technology that diffuses widely will be adapted by different societies, firms, and institutions to suit their own needs, values, and constraints. Sovereign AI is AI designed for diffusion, not just raw increases in capability.
This is one reason the arms-race framing is unhelpful. It encourages us to treat AI as if it were a weapons system or a scarce strategic asset. But if AI is closer to electrification, computing, or the written word, the important thing is how the technology is embedded into the ordinary life of economies and institutions, and whether that embedding happens in ways that increase agency broadly rather than concentrating it in a few hyperpowerful companies.
There are a few additional lessons we can take from the history of electrification. While motors became decentralized, factories stopped generating their own power and bought it from a centralized grid. The unit-drive revolution decentralized application, not generation. This limitation, which we are now working to overcome to some extent with decentralized solar generation, is perhaps ironically showing up most strongly in the strain that AI data centers are placing on the grid. Let’s learn from that misstep. You can diffuse AI into every workflow via API calls to a big centralized model, or it can be diffused by a network of smaller models that turbocharge every part of the economy.
We should design for a future of multiple AIs, not a single universal system. Different countries will want systems shaped by different legal regimes, languages, histories, and cultural assumptions. So will companies. So will professions and communities of practice. The instinct of some frontier labs is to imagine that the right answer is to homogenize the technology, purge it of bias, and offer a single sanitized intelligence layer for the world. But AI is a social and cultural technology. The differences are not a defect to be smoothed away.
We do need to think about standards and interoperability. The historical analogy that comes to mind is railroad gauge. When real world systems are built to incompatible standards, the result is not healthy diversity but decades of friction, kludges, and retrofitting. The same may prove true for AI. If we force the future into a choice between one universal model and a patchwork of disconnected sovereign systems, we will get the worst of both worlds. We need a layer between uniformity and fragmentation, which can come from standardized protocols that allow different models, tools, and institutions to interoperate without requiring them to become identical.
This is also why open source matters, but only if it is properly understood. Open source is not just about licenses. My earliest introduction to the shared development of software that now goes by that name came from the research community that grew up around Bell Labs’ Unix operating system despite AT&T’s proprietary (albeit permissive) licensing. Because of that experience, I became convinced that it was the modular, protocol-centric architecture of Unix that was a key driver of collaborative, internet-enabled software development.
Open source AI depends on far more than open models. It depends on the architecture of participation built into the systems above and around them: the protocols, servers, interfaces, and shared technical conventions that let many different actors build on common foundations. The Open Source AI Gap Map shows just how rich that open source AI ecosystem is becoming. But open source can also coexist with proprietary, de facto standards like the OpenAI and Anthropic APIs. Like the electric grid we are now beginning to rebuild, the AI future will be a mix of centralized and decentralized systems. Cooperation and competition can coexist. Different actors can build different systems, for different purposes, under different forms of governance, while still participating in a shared technical and economic order.
This is how the future can belong not just to the inventors of AI but to the people who make it usable, adaptable, interoperable, and worth adopting.
Eminently worth reading in full. AI for all of us: “Ordinary Engineers, Not Heroic Inventors,” from @timoreilly.bsky.social
Apposite: “How to talk about “AI” without adding to the anthropomorphization“
###
As we amplify access, we might we might spare a thought for someone who launched more than one central technology into braod diffusion: the Serbian-American electrical engineer and inventor Nikola Tesla; he died on this date in 1943. Tesla is probably best remembered for his rivalry with Thomas Edison: Tesla invented and patented the first AC motor and generator (c.f.: Niagara Falls); Edison promoted DC power… and went to great lengths to discredit Tesla and his approach. In the end, of course, Tesla was right.
Tesla patented over 300 inventions worldwide, though he kept many of his creations out of the patent system to protect their confidentiality. His work ranged widely, from technology critical to the development of radio to the first remote control. At the turn of the century, Tesla designed and began planning a “worldwide wireless communications system” that was backed by J.P. Morgan… until Morgan lost confidence and pulled out. “Cyberspace,” as described by the likes of William Gibson and Neal Stephenson, is largely prefigured in Tesla’s plan. On Tesla’s 75th birthday in 1931, Time put him on its cover, captioned “All the world’s his power house.” He received congratulatory letters from Albert Einstein and more than 70 other pioneers in science and engineering. But Tesla’s talent ran far, far ahead of his luck. He died penniless in Room 3327 of the New Yorker Hotel.
#AI #alternatingCurrent #artificialIntelligence #culture #cyberspace #diffusion #diffusionTheory #electricity #history #JeffDing #NikolaTesla #politics #Technology #TimOReilly #wireless -
“Technology doesn’t force us… it merely opens the door”*…
The estimable Tim O’Reilly reminds us to think deeply about how AI could and should turn out. He suggests that Jeff Ding‘s diffusion theory of the role of technology in great-power competition also applies to AI adoption– and that it suggests that companies obsessed with the frontier might be optimizing for the wrong thing…
In the 1980s, Japan led the world in semiconductors, consumer electronics, and computer hardware, the industries everyone assumed would decide the next phase of economic power. Japan won them and still did not overtake the United States in the information revolution that followed. Jeff Ding, a political scientist at George Washington University, opens his book Technology and the Rise of Great Powers with the history of the first and second industrial revolutions and the third, the information revolution. The explanation he gives for who wins and who loses applies to companies as well as it does to nations, and very much to the current trajectory of AI.
Ding contrasts two theories of how technological revolutions reshape economic power. The conventional one he calls the leading sector model, or LS theory. It goes like this: New technologies create fast-growing new industries like steel and railroads and automobiles and semiconductors, and the country that dominates invention in those sectors captures the monopoly profits and the upstream and downstream economic linkages that come with them. As the story goes, if you win the leading sector, you win the era. Britain won in the first industrial revolution through its mastery of steam power, and then was surpassed by the US in the second through its leadership in electrification, the internal combustion engine, and mass manufacturing. The US kept its lead over Japan in the information systems revolution not by competing in the “leading sector” of electronic hardware but by diffusing “up the stack” via software that took the power of computing into every sector of the economy. (OK, that last bit is my explanation of what happened rather than Ding’s, but it’s consistent with his theory.)
Leading Sector theory is pretty clearly the working hypothesis of today’s AI industry and the national strategy that is forming around that industry. The company and the country with the biggest and best models wins. Everyone else is an also-ran.
Ding offers another explanation, which he calls diffusion theory. He points out that general-purpose technologies, foundational ones like the steam engine, electricity, and the computer, don’t just create massive profits and productivity gains in a single industry but instead spread across the whole economy. National economic leadership comes not from inventing the new sector but from diffusing the general-purpose technology more quickly and more broadly than your rivals. This happens over decades. The win goes to whoever most successfully embeds the technology into a wide range of ordinary productive work. This is how the US kept its lead over Japan rather than being surpassed by it.
This is obviously aligned with the thinking of Arvind Narayanan and Sayash Kapoor in “AI as Normal Technology,” which Ding cites in his book.
A big part of what enables diffusion is what Ding calls skill infrastructure, the education and training systems that widen the pool of people who can actually work with the technology. When the priority is widespread adoption rather than invention, he argues, the institutions that matter are the ones that build engineering skill at scale, standardize good practice, and tie research to industry. He writes:
GPT diffusion theory highlights the importance of GPT [General Purpose Technology] skill infrastructure. Education and training systems that widen the pool of engineering skills and knowledge linked to a GPT. When widespread adoption of GPTs is the priority, it is ordinary engineers, not heroic inventors, who matter.
Music to my ears, as it should be to yours: “It is ordinary engineers, not heroic inventors, who matter.”
That is not how the current AI narrative goes. Everyone is fixated on the labs, the frontier models, and the most famous researchers. And that fixation shapes enterprise strategy. Inside many companies AI strategy is a procurement decision: Which model and which vendor and which flagship tool should we choose? Or it’s a moonshot to stand up a lab and build an impressive demo and hire your own famous developer. Both approaches treat AI as a sector to be won. Ding’s argument is that the breakthrough sector itself is not where the long-term value for national power lives. And I believe that the same applies to corporate success. The value is in how widely and how well the technology gets embedded into the work of the people you already employ. The company that puts AI to work in finance and support and legal and sales and operations, across every unglamorous process, as well as in product and engineering, outperforms its competitors and drives its industry forward.
The reason diffusion takes a long time is that it is an organizational problem and not a technical one…
[Tim elaborates, and specifies the requirements for successful management of what is an “enterprise transformation problem”; he then unpacks the geopolitics of AI. He concludes…]
… Sovereign AI is not just a matter of national power. It is a predictable consequence of diffusion. A technology that diffuses widely will be adapted by different societies, firms, and institutions to suit their own needs, values, and constraints. Sovereign AI is AI designed for diffusion, not just raw increases in capability.
This is one reason the arms-race framing is unhelpful. It encourages us to treat AI as if it were a weapons system or a scarce strategic asset. But if AI is closer to electrification, computing, or the written word, the important thing is how the technology is embedded into the ordinary life of economies and institutions, and whether that embedding happens in ways that increase agency broadly rather than concentrating it in a few hyperpowerful companies.
There are a few additional lessons we can take from the history of electrification. While motors became decentralized, factories stopped generating their own power and bought it from a centralized grid. The unit-drive revolution decentralized application, not generation. This limitation, which we are now working to overcome to some extent with decentralized solar generation, is perhaps ironically showing up most strongly in the strain that AI data centers are placing on the grid. Let’s learn from that misstep. You can diffuse AI into every workflow via API calls to a big centralized model, or it can be diffused by a network of smaller models that turbocharge every part of the economy.
We should design for a future of multiple AIs, not a single universal system. Different countries will want systems shaped by different legal regimes, languages, histories, and cultural assumptions. So will companies. So will professions and communities of practice. The instinct of some frontier labs is to imagine that the right answer is to homogenize the technology, purge it of bias, and offer a single sanitized intelligence layer for the world. But AI is a social and cultural technology. The differences are not a defect to be smoothed away.
We do need to think about standards and interoperability. The historical analogy that comes to mind is railroad gauge. When real world systems are built to incompatible standards, the result is not healthy diversity but decades of friction, kludges, and retrofitting. The same may prove true for AI. If we force the future into a choice between one universal model and a patchwork of disconnected sovereign systems, we will get the worst of both worlds. We need a layer between uniformity and fragmentation, which can come from standardized protocols that allow different models, tools, and institutions to interoperate without requiring them to become identical.
This is also why open source matters, but only if it is properly understood. Open source is not just about licenses. My earliest introduction to the shared development of software that now goes by that name came from the research community that grew up around Bell Labs’ Unix operating system despite AT&T’s proprietary (albeit permissive) licensing. Because of that experience, I became convinced that it was the modular, protocol-centric architecture of Unix that was a key driver of collaborative, internet-enabled software development.
Open source AI depends on far more than open models. It depends on the architecture of participation built into the systems above and around them: the protocols, servers, interfaces, and shared technical conventions that let many different actors build on common foundations. The Open Source AI Gap Map shows just how rich that open source AI ecosystem is becoming. But open source can also coexist with proprietary, de facto standards like the OpenAI and Anthropic APIs. Like the electric grid we are now beginning to rebuild, the AI future will be a mix of centralized and decentralized systems. Cooperation and competition can coexist. Different actors can build different systems, for different purposes, under different forms of governance, while still participating in a shared technical and economic order.
This is how the future can belong not just to the inventors of AI but to the people who make it usable, adaptable, interoperable, and worth adopting.
Eminently worth reading in full. AI for all of us: “Ordinary Engineers, Not Heroic Inventors,” from @timoreilly.bsky.social
Apposite: “How to talk about “AI” without adding to the anthropomorphization“
###
As we amplify access, we might we might spare a thought for someone who launched more than one central technology into braod diffusion: the Serbian-American electrical engineer and inventor Nikola Tesla; he died on this date in 1943. Tesla is probably best remembered for his rivalry with Thomas Edison: Tesla invented and patented the first AC motor and generator (c.f.: Niagara Falls); Edison promoted DC power… and went to great lengths to discredit Tesla and his approach. In the end, of course, Tesla was right.
Tesla patented over 300 inventions worldwide, though he kept many of his creations out of the patent system to protect their confidentiality. His work ranged widely, from technology critical to the development of radio to the first remote control. At the turn of the century, Tesla designed and began planning a “worldwide wireless communications system” that was backed by J.P. Morgan… until Morgan lost confidence and pulled out. “Cyberspace,” as described by the likes of William Gibson and Neal Stephenson, is largely prefigured in Tesla’s plan. On Tesla’s 75th birthday in 1931, Time put him on its cover, captioned “All the world’s his power house.” He received congratulatory letters from Albert Einstein and more than 70 other pioneers in science and engineering. But Tesla’s talent ran far, far ahead of his luck. He died penniless in Room 3327 of the New Yorker Hotel.
#AI #alternatingCurrent #artificialIntelligence #culture #cyberspace #diffusion #diffusionTheory #electricity #history #JeffDing #NikolaTesla #politics #Technology #TimOReilly #wireless -
RE: https://mas.to/@brian_gettler/116884645112420182
In the not-too-distant future, #AI in #cyberspace is going to be the 'asbestos in the ceilings and walls' problem that will be very costly to mitigate.
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RE: https://mas.to/@brian_gettler/116884645112420182
In the not-too-distant future, #AI in #cyberspace is going to be the 'asbestos in the ceilings and walls' problem that will be very costly to mitigate.
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Its 25 years into the 21st century.
The poors of #cyberspace eek out CPU cycles and memory out of bottom tier VPS hosts.
OLLAMA (Local AI LLM runner) at near constant 60%...
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🕹️Showcased at the latest AFCEA TechNet International exhibition, EDA supported the creation of a cyber defence demonstrator.
This VR technology brings together information from #cyberspace, #electromagnetic spectrum & #cognitive domain into a single interactive space.
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https://nitter.net/EUDefenceAgency/status/2067531338995871880#m -
🕹️Showcased at the latest AFCEA TechNet International exhibition, EDA supported the creation of a cyber defence demonstrator.
This VR technology brings together information from #cyberspace, #electromagnetic spectrum & #cognitive domain into a single interactive space.
---
https://nitter.net/EUDefenceAgency/status/2067531338995871880#m -
Dear Friends lost in #cyberspace,
1) Metoo or is that meow2. I dunno if I am coming or going...
2) I am posting from #TOR running on #EasyOS 7.4. #Finally!
3) Does everything formally known as 'easy' take an hour to set up? I mean #imagine taking an hour to set up and use a #browser... Ay carumba!In other words the LLM, tech bros, #security nerds are the asylum keepers and I need to break the straight (if you will pardon the term) jacket. Luckily I have a plan. #Persistence. Full #disclosure. #Open efforts.
For example:
1) The people who hide the most are either the leisured elite OR the roving, roaming, #anarchic friends of the revolting.
2) Shine a light on the murky, swampy, golden turd and their endorsing laxatives
3) Tax your brain, the greedy and all with stolen/inherited 'wealth'I use TOR, #Signal and #Mastodon. As I find better. I implement. Safe in sharing the best I know how...
:agummyhug: :0dd_verified: ✅
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Dear Friends lost in #cyberspace,
1) Metoo or is that meow2. I dunno if I am coming or going...
2) I am posting from #TOR running on #EasyOS 7.4. #Finally!
3) Does everything formally known as 'easy' take an hour to set up? I mean #imagine taking an hour to set up and use a #browser... Ay carumba!In other words the LLM, tech bros, #security nerds are the asylum keepers and I need to break the straight (if you will pardon the term) jacket. Luckily I have a plan. #Persistence. Full #disclosure. #Open efforts.
For example:
1) The people who hide the most are either the leisured elite OR the roving, roaming, #anarchic friends of the revolting.
2) Shine a light on the murky, swampy, golden turd and their endorsing laxatives
3) Tax your brain, the greedy and all with stolen/inherited 'wealth'I use TOR, #Signal and #Mastodon. As I find better. I implement. Safe in sharing the best I know how...
:agummyhug: :0dd_verified: ✅
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Friday, June 12, 2026
Russian petrochemical plants reportedly struck by Ukrainian drones hundreds of kilometers from front line ..... Ukraine confirms strike on Crimea's Armiansk bridge that hit 50 Russian military vehicles ..... Ukraine aims to isolate Crimea from Russia ..... Russia's oil output falls to one-year low amid Ukrainian strikes ... and morehttps://activitypub.writeworks.uk/2026/06/friday-june-12-2026/
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Friday, June 12, 2026
Russian petrochemical plants reportedly struck by Ukrainian drones hundreds of kilometers from front line ..... Ukraine confirms strike on Crimea's Armiansk bridge that hit 50 Russian military vehicles ..... Ukraine aims to isolate Crimea from Russia ..... Russia's oil output falls to one-year low amid Ukrainian strikes ... and morehttps://activitypub.writeworks.uk/2026/06/friday-june-12-2026/
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🚀 Ah, the pinnacle of human achievement: setting #useragents and respecting robot policies! 🛑🤖 It's like the world's most exciting scavenger hunt through cyberspace's least thrilling URLs. 🎉🌐 Who knew the future would be so radically... bureaucratic? 😂
https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2026-05-22/Recent_research #humanachievement #cyberspace #robotpolicies #bureaucraticfun #HackerNews #ngated -
🚀 Ah, the pinnacle of human achievement: setting #useragents and respecting robot policies! 🛑🤖 It's like the world's most exciting scavenger hunt through cyberspace's least thrilling URLs. 🎉🌐 Who knew the future would be so radically... bureaucratic? 😂
https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2026-05-22/Recent_research #humanachievement #cyberspace #robotpolicies #bureaucraticfun #HackerNews #ngated -
@KPBSPublicMedia @science-KPBSPublicMedia #AI ‘impact’ can be positive *or* negative. 🤷🏻♂️
Computers are useful, as was envisioned by #CharlesBabbage over 170 years ago and continuously demonstrated for over 8 decades, but #education professionals should #resist #AIslop. 🙏
#AI is already the ‘asbestos’ of #cyberspace.
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@KPBSPublicMedia @science-KPBSPublicMedia #AI ‘impact’ can be positive *or* negative. 🤷🏻♂️
Computers are useful, as was envisioned by #CharlesBabbage over 170 years ago and continuously demonstrated for over 8 decades, but #education professionals should #resist #AIslop. 🙏
#AI is already the ‘asbestos’ of #cyberspace.
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Now, more than ever: "A Declaration of the Independence of Cyberspace" by John Perry Barlow, Davos, Switzerland
February 8, 1996.
#cyberspace #DigitalFreedom #freedom #nogodsnomasters
https://www.eff.org/cyberspace-independence -
Now, more than ever: "A Declaration of the Independence of Cyberspace" by John Perry Barlow, Davos, Switzerland
February 8, 1996.
#cyberspace #DigitalFreedom #freedom #nogodsnomasters
https://www.eff.org/cyberspace-independence -
RE: https://cyberplace.social/@notkawaii_irl/116632583596083951
From $126 to $48 Im very grateful to be in such great social #community with very great #support system
( ˘ ³˘)♥:blobcathearthug: Pls help me reach my goal, $48 short.I'll problem the Food for me & my cat later or whenver, I dont blame my ADHD 'kayyy.
～(~￣▽￣)~～#quote #boost #MutualaidRequest #MutualSupport #mastodon #community #support #sendhelp #fediverse #ActofKindness #cyberspace #social
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RE: https://cyberplace.social/@notkawaii_irl/116632583596083951
From $126 to $48 Im very grateful to be in such great social #community with very great #support system
( ˘ ³˘)♥:blobcathearthug: Pls help me reach my goal, $48 short.I'll problem the Food for me & my cat later or whenver, I dont blame my ADHD 'kayyy.
～(~￣▽￣)~～#quote #boost #MutualaidRequest #MutualSupport #mastodon #community #support #sendhelp #fediverse #ActofKindness #cyberspace #social
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had a thought of shadowedpost so suddenly is that a thing here?What if my post cannot be seen by others or not happening at all? Or any advice.
just a thought :(
#cyberspace #social #fediverse #mastodon #sunday -
had a thought of shadowedpost so suddenly is that a thing here?What if my post cannot be seen by others or not happening at all? Or any advice.
just a thought :(
#cyberspace #social #fediverse #mastodon #sunday -
@anneroth @petramolnar Unregulated #AI is the asbestos in the fabric of #cyberspace.
#Resist #AIslop.
Sign me up in the #resistance. 👋 -
@anneroth @petramolnar Unregulated #AI is the asbestos in the fabric of #cyberspace.
#Resist #AIslop.
Sign me up in the #resistance. 👋 -
Wut in tarnation!? Someone actually printed out the Internet!
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#MWSLieblingsorte: Im Grenzbereich zwischen Realität und virtuellem #Cyberspace
Die Lieblingsorte von Nicole Marion Mueller vom #DIJTokyo sind die flüchtigen virtuellen Parallelwelten, die durch #VirtualReality oder #AugmentedReality entstehen.🔗 Neugierig geworden? Mehr dazu auf unserem Blog: https://gab.hypotheses.org/23209
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#MWSLieblingsorte: Im Grenzbereich zwischen Realität und virtuellem #Cyberspace
Die Lieblingsorte von Nicole Marion Mueller vom #DIJTokyo sind die flüchtigen virtuellen Parallelwelten, die durch #VirtualReality oder #AugmentedReality entstehen.🔗 Neugierig geworden? Mehr dazu auf unserem Blog: https://gab.hypotheses.org/23209
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Meanderware: Things I loved about cyberspace
💥 https://tetrageddon.com/meanderware/ 🔥
- A short playable essay and poetic breadcrumb trail of thoughts about cyberspace, the internet, and ephemeral digital worlds. -
🔥💀🔥💀🔥
#IndieGame #WebGame #BrowserGame #IndieWeb #IndieDev #GameDev #Cyberspace -
Meanderware: Things I loved about cyberspace
💥 https://tetrageddon.com/meanderware/ 🔥
- A short playable essay and poetic breadcrumb trail of thoughts about cyberspace, the internet, and ephemeral digital worlds. -
🔥💀🔥💀🔥
#IndieGame #WebGame #BrowserGame #IndieWeb #IndieDev #GameDev #Cyberspace -
Residuals (John Leahy)
The AI - Eidolon - found a pattern, an invisible lattice that hung just outside of what human minds could perceive. Some called it the Veil. Some said it was God’s firewall. But whatever it was, Eidolon found a way through it. And the things on the other side - those things didn’t need a second invitation.https://sevenstorypublishing.com/2026/05/08/residuals-john-leahy/
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Residuals (John Leahy)
The AI - Eidolon - found a pattern, an invisible lattice that hung just outside of what human minds could perceive. Some called it the Veil. Some said it was God’s firewall. But whatever it was, Eidolon found a way through it. And the things on the other side - those things didn’t need a second invitation.https://sevenstorypublishing.com/2026/05/08/residuals-john-leahy/
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#Google #Chrome has been silently pushing a 4GB #AI model to your device without asking
source: techspot.com/news/112309-googl…
Given Chrome's billions of users, the total number of affected devices – and the #bandwidth consumed – could be substantial. Hanff estimates that pushing 4GB to hundreds of millions or billions of devices would amount to several exabytes of data transferred, potentially generating between 6,000 and 60,000 metric tons of #CO2.
#news #software #browser #internet #online #user #fail #technology #fail #problem #climate #energy #waste #cyberspace #earth #emissions #company #economy #surfing #pollution #computer
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To live forever in cyberspace, to upload one's consciousness to cyberspace.
No risk of overpopulation, to end one's own life on one's own terms, no need to eat or sleep, no injury or illness.
And what of sensations beyond the body, beyond the physical? -
And #CloudFlare: I'm offended and fed up with your constant and unwarranted challenges against my legitimacy as a citizen of the internet. So here's my response:
You're an illegitimate spawn of the #dotcom #revolution and a #cyberspace #bully. You ruin the internet for us because you want money without working to earn it. A good chunk of the Internet userbase hates you and wants you gone. That's a disrepute and disgrace that you'll carry to your grave.
[4/4]
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I'm going to say this again. #CloudFlare will fracture the #Internet and create the #cyberspace of haves and have-nots, mirroring the decrepit real world. The reason is the same. Never place the #commons under the management of powerful entities that are incentivized to #exploit and ruin them!
[1/4]
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Could it be that we are #wasting a large and constantly increasing percentage of the Internet's #bandwidth on the destruction of our #civilization?
What ever happened to the good old days when #porn was blamed for wasting bandwidth? Make #love, not #cyberwar!
source: statista.com/statistics/126422…
#bot #bots #cybercrime #spam #problem #energy #humanity #traffic #web #www #internet #online #economy #future #ethics #evolution #capitalism #crime #justice #cyberspace #society #world #question #waste #pollution #malware -
We live immersed in a persistent illusion: the idea that #consciousness arises from the #brain like the flame from a candle.
https://lifeboat.com/blog/2025/10/homo-invocator #AI #counterparts #counterpart #AgenticAI #Cyberspace #AGI #mind #ETER9 -
I Endorse the #ETER9 Project » https://www.eter9.com/ #AI #counterparts #counterpart #AgenticAI #Cyberspace #AGI
