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#aiwarfare — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aiwarfare, aggregated by home.social.

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  1. Terrifying.

    The chain of events is clearly depicted on this website.
    It reads like some dystopian future yet it is happening now.

    ai-killchain.airwars.org

    #AIwarfare #war #AI

  2. Terrifying.

    The chain of events is clearly depicted on this website.
    It reads like some dystopian future yet it is happening now.

    ai-killchain.airwars.org

    #AIwarfare #war #AI

  3. Terrifying.

    The chain of events is clearly depicted on this website.
    It reads like some dystopian future yet it is happening now.

    ai-killchain.airwars.org

    #AIwarfare #war #AI

  4. Terrifying.

    The chain of events is clearly depicted on this website.
    It reads like some dystopian future yet it is happening now.

    ai-killchain.airwars.org

    #AIwarfare #war #AI

  5. Russia Has Now Lost More Troops in Ukraine Than in Every War Since World War II Combined, New Analysis Finds

    By any historical measure, the human cost of Russia’s invasion of Ukraine has entered unprecedented territory. Now, a new…
    #Ukraine #UA #Europe #Europa #EU #News #AIwarfare #drones #Russia #RussianinvasionofUkraine
    europesays.com/ukraine/12225/

  6. "We, the undersigned organizations and individuals, are deeply alarmed by the rapid militarization of artificial intelligence (AI) technologies. AI systems embedded into military kill chains are accelerating the speed and scale of military assaults in a manner that creates significant new risks for accountability in conflict and risks facilitating violations of international criminal, human rights, and humanitarian law.

    We therefore call for tech companies and states to halt the provision of AI systems for use in the military kill chain and to take all steps to ensure that other AI systems they provide do not cause or contribute to violations of international humanitarian law (IHL) and international human rights law (IHRL). This includes the use of AI decision-support systems, including target generation systems, remote biometric surveillance, and multimodal AI models, including large language models (LLMs). AI-accelerated warfare is rapidly becoming a means of rubber-stamping killing at speed and at scale, and currently no technical or procedural fixes can effectively prevent the lethal and devastating consequences that stem from the fundamental challenges it poses to international law."

    accessnow.org/press-release/jo

    #AI #AIWarfare #HumanRights #InternationalLaw #HumanitarianLaw

  7. "We, the undersigned organizations and individuals, are deeply alarmed by the rapid militarization of artificial intelligence (AI) technologies. AI systems embedded into military kill chains are accelerating the speed and scale of military assaults in a manner that creates significant new risks for accountability in conflict and risks facilitating violations of international criminal, human rights, and humanitarian law.

    We therefore call for tech companies and states to halt the provision of AI systems for use in the military kill chain and to take all steps to ensure that other AI systems they provide do not cause or contribute to violations of international humanitarian law (IHL) and international human rights law (IHRL). This includes the use of AI decision-support systems, including target generation systems, remote biometric surveillance, and multimodal AI models, including large language models (LLMs). AI-accelerated warfare is rapidly becoming a means of rubber-stamping killing at speed and at scale, and currently no technical or procedural fixes can effectively prevent the lethal and devastating consequences that stem from the fundamental challenges it poses to international law."

    accessnow.org/press-release/jo

    #AI #AIWarfare #HumanRights #InternationalLaw #HumanitarianLaw

  8. "We, the undersigned organizations and individuals, are deeply alarmed by the rapid militarization of artificial intelligence (AI) technologies. AI systems embedded into military kill chains are accelerating the speed and scale of military assaults in a manner that creates significant new risks for accountability in conflict and risks facilitating violations of international criminal, human rights, and humanitarian law.

    We therefore call for tech companies and states to halt the provision of AI systems for use in the military kill chain and to take all steps to ensure that other AI systems they provide do not cause or contribute to violations of international humanitarian law (IHL) and international human rights law (IHRL). This includes the use of AI decision-support systems, including target generation systems, remote biometric surveillance, and multimodal AI models, including large language models (LLMs). AI-accelerated warfare is rapidly becoming a means of rubber-stamping killing at speed and at scale, and currently no technical or procedural fixes can effectively prevent the lethal and devastating consequences that stem from the fundamental challenges it poses to international law."

    accessnow.org/press-release/jo

    #AI #AIWarfare #HumanRights #InternationalLaw #HumanitarianLaw

  9. "We, the undersigned organizations and individuals, are deeply alarmed by the rapid militarization of artificial intelligence (AI) technologies. AI systems embedded into military kill chains are accelerating the speed and scale of military assaults in a manner that creates significant new risks for accountability in conflict and risks facilitating violations of international criminal, human rights, and humanitarian law.

    We therefore call for tech companies and states to halt the provision of AI systems for use in the military kill chain and to take all steps to ensure that other AI systems they provide do not cause or contribute to violations of international humanitarian law (IHL) and international human rights law (IHRL). This includes the use of AI decision-support systems, including target generation systems, remote biometric surveillance, and multimodal AI models, including large language models (LLMs). AI-accelerated warfare is rapidly becoming a means of rubber-stamping killing at speed and at scale, and currently no technical or procedural fixes can effectively prevent the lethal and devastating consequences that stem from the fundamental challenges it poses to international law."

    accessnow.org/press-release/jo

    #AI #AIWarfare #HumanRights #InternationalLaw #HumanitarianLaw

  10. "We, the undersigned organizations and individuals, are deeply alarmed by the rapid militarization of artificial intelligence (AI) technologies. AI systems embedded into military kill chains are accelerating the speed and scale of military assaults in a manner that creates significant new risks for accountability in conflict and risks facilitating violations of international criminal, human rights, and humanitarian law.

    We therefore call for tech companies and states to halt the provision of AI systems for use in the military kill chain and to take all steps to ensure that other AI systems they provide do not cause or contribute to violations of international humanitarian law (IHL) and international human rights law (IHRL). This includes the use of AI decision-support systems, including target generation systems, remote biometric surveillance, and multimodal AI models, including large language models (LLMs). AI-accelerated warfare is rapidly becoming a means of rubber-stamping killing at speed and at scale, and currently no technical or procedural fixes can effectively prevent the lethal and devastating consequences that stem from the fundamental challenges it poses to international law."

    accessnow.org/press-release/jo

    #AI #AIWarfare #HumanRights #InternationalLaw #HumanitarianLaw

  11. Are we ready for robots on the battlefield? Dylan Butts reports Foundation Robotics Labs is deploying humanoid robots in Ukraine, backed by U.S. contracts, with plans for U.S. military use. This development, advised by Eric Trump, sparks critical ethical concerns about autonomous warfare. Learn more about the future of military AI. cnbc.com/2026/05/30/humanoid-r #HumanoidRobots #DefenseTech #AIWarfare

  12. Are we ready for robots on the battlefield? Dylan Butts reports Foundation Robotics Labs is deploying humanoid robots in Ukraine, backed by U.S. contracts, with plans for U.S. military use. This development, advised by Eric Trump, sparks critical ethical concerns about autonomous warfare. Learn more about the future of military AI. cnbc.com/2026/05/30/humanoid-r #HumanoidRobots #DefenseTech #AIWarfare

  13. "Nearly a decade later, militaries haven’t yet developed fully autonomous lethal weapons. But these systems sit squarely in the center of a recent high-stakes battle between the US government and AI startup Anthropic. Anthropic is seeking to preserve two “red lines”: bans on domestic mass surveillance and on weapons that can identify, track, and kill targets with zero human involvement. Since the start of the year, it’s emerged as the only military AI contractor to place meaningful limits on what experts call one of the final frontiers of AI warfare.

    But amid shifting alliances, lawsuits, and melodrama, it’s easy to lose sight of the larger context — that AI is, and long has been, deeply embedded in the military. Seventy years ago, a summer meeting between scientists in New Hampshire made the Department of Defense sit up and take notice of AI’s potential for war. Since then, its influence has grown exponentially every decade. In recent years in particular, AI has enabled more and faster killings than ever before.

    Even Anthropic seems to think its red lines won’t hold for long. After all, history has proven otherwise.

    The US military has backed AI development for decades, and in turn, AI has transformed warfare. In the 2000s, the technology became capable of parsing unprecedented amounts of data collected worldwide, creating a surveillance revolution. And the late 2010s saw the development of advanced facial recognition and other sophisticated machine vision systems."

    theverge.com/ai-artificial-int

    #AI #AIWarfare #Military #Pentagon #DoD #AIEthics

  14. "Nearly a decade later, militaries haven’t yet developed fully autonomous lethal weapons. But these systems sit squarely in the center of a recent high-stakes battle between the US government and AI startup Anthropic. Anthropic is seeking to preserve two “red lines”: bans on domestic mass surveillance and on weapons that can identify, track, and kill targets with zero human involvement. Since the start of the year, it’s emerged as the only military AI contractor to place meaningful limits on what experts call one of the final frontiers of AI warfare.

    But amid shifting alliances, lawsuits, and melodrama, it’s easy to lose sight of the larger context — that AI is, and long has been, deeply embedded in the military. Seventy years ago, a summer meeting between scientists in New Hampshire made the Department of Defense sit up and take notice of AI’s potential for war. Since then, its influence has grown exponentially every decade. In recent years in particular, AI has enabled more and faster killings than ever before.

    Even Anthropic seems to think its red lines won’t hold for long. After all, history has proven otherwise.

    The US military has backed AI development for decades, and in turn, AI has transformed warfare. In the 2000s, the technology became capable of parsing unprecedented amounts of data collected worldwide, creating a surveillance revolution. And the late 2010s saw the development of advanced facial recognition and other sophisticated machine vision systems."

    theverge.com/ai-artificial-int

    #AI #AIWarfare #Military #Pentagon #DoD #AIEthics

  15. "Nearly a decade later, militaries haven’t yet developed fully autonomous lethal weapons. But these systems sit squarely in the center of a recent high-stakes battle between the US government and AI startup Anthropic. Anthropic is seeking to preserve two “red lines”: bans on domestic mass surveillance and on weapons that can identify, track, and kill targets with zero human involvement. Since the start of the year, it’s emerged as the only military AI contractor to place meaningful limits on what experts call one of the final frontiers of AI warfare.

    But amid shifting alliances, lawsuits, and melodrama, it’s easy to lose sight of the larger context — that AI is, and long has been, deeply embedded in the military. Seventy years ago, a summer meeting between scientists in New Hampshire made the Department of Defense sit up and take notice of AI’s potential for war. Since then, its influence has grown exponentially every decade. In recent years in particular, AI has enabled more and faster killings than ever before.

    Even Anthropic seems to think its red lines won’t hold for long. After all, history has proven otherwise.

    The US military has backed AI development for decades, and in turn, AI has transformed warfare. In the 2000s, the technology became capable of parsing unprecedented amounts of data collected worldwide, creating a surveillance revolution. And the late 2010s saw the development of advanced facial recognition and other sophisticated machine vision systems."

    theverge.com/ai-artificial-int

    #AI #AIWarfare #Military #Pentagon #DoD #AIEthics

  16. "Nearly a decade later, militaries haven’t yet developed fully autonomous lethal weapons. But these systems sit squarely in the center of a recent high-stakes battle between the US government and AI startup Anthropic. Anthropic is seeking to preserve two “red lines”: bans on domestic mass surveillance and on weapons that can identify, track, and kill targets with zero human involvement. Since the start of the year, it’s emerged as the only military AI contractor to place meaningful limits on what experts call one of the final frontiers of AI warfare.

    But amid shifting alliances, lawsuits, and melodrama, it’s easy to lose sight of the larger context — that AI is, and long has been, deeply embedded in the military. Seventy years ago, a summer meeting between scientists in New Hampshire made the Department of Defense sit up and take notice of AI’s potential for war. Since then, its influence has grown exponentially every decade. In recent years in particular, AI has enabled more and faster killings than ever before.

    Even Anthropic seems to think its red lines won’t hold for long. After all, history has proven otherwise.

    The US military has backed AI development for decades, and in turn, AI has transformed warfare. In the 2000s, the technology became capable of parsing unprecedented amounts of data collected worldwide, creating a surveillance revolution. And the late 2010s saw the development of advanced facial recognition and other sophisticated machine vision systems."

    theverge.com/ai-artificial-int

    #AI #AIWarfare #Military #Pentagon #DoD #AIEthics

  17. "Nearly a decade later, militaries haven’t yet developed fully autonomous lethal weapons. But these systems sit squarely in the center of a recent high-stakes battle between the US government and AI startup Anthropic. Anthropic is seeking to preserve two “red lines”: bans on domestic mass surveillance and on weapons that can identify, track, and kill targets with zero human involvement. Since the start of the year, it’s emerged as the only military AI contractor to place meaningful limits on what experts call one of the final frontiers of AI warfare.

    But amid shifting alliances, lawsuits, and melodrama, it’s easy to lose sight of the larger context — that AI is, and long has been, deeply embedded in the military. Seventy years ago, a summer meeting between scientists in New Hampshire made the Department of Defense sit up and take notice of AI’s potential for war. Since then, its influence has grown exponentially every decade. In recent years in particular, AI has enabled more and faster killings than ever before.

    Even Anthropic seems to think its red lines won’t hold for long. After all, history has proven otherwise.

    The US military has backed AI development for decades, and in turn, AI has transformed warfare. In the 2000s, the technology became capable of parsing unprecedented amounts of data collected worldwide, creating a surveillance revolution. And the late 2010s saw the development of advanced facial recognition and other sophisticated machine vision systems."

    theverge.com/ai-artificial-int

    #AI #AIWarfare #Military #Pentagon #DoD #AIEthics

  18. China Advances Underwater and Robotic Warfare Tech

    China showed new underwater minelaying drones and AI robot dogs on 5 October 2026. Learn how these military robots change naval and ground warfare plans.

    #chinamilitary, #navaldrones, #robotdogs, #defenseexpo, #aiwarfare

    newsletter.tf/china-new-underw

  19. China has introduced new underwater drones that can dive 3,000 meters deep. This is a big change from their older, less advanced underwater systems.

    #chinamilitary, #navaldrones, #robotdogs, #defenseexpo, #aiwarfare
    newsletter.tf/china-new-underw

  20. #israel #lebanon : #militaryinvasion / #idf / #aiwarfare / #targetedkillings / #lavender / #reportage

    „The Israeli military has used a targeting system powered by artificial intelligence to launch what it says are attacks on #Hezbollah in Lebanon.

    The system fuses data from various sources, including smartphones, security and traffic cameras, Wi-Fi signals, drones and social media.

    Experts warn that AI-powered systems could misidentify civilians.“

    latimes.com/world-nation/story

  21. #israel #lebanon : #militaryinvasion / #idf / #aiwarfare / #targetedkillings / #lavender / #reportage

    „The Israeli military has used a targeting system powered by artificial intelligence to launch what it says are attacks on #Hezbollah in Lebanon.

    The system fuses data from various sources, including smartphones, security and traffic cameras, Wi-Fi signals, drones and social media.

    Experts warn that AI-powered systems could misidentify civilians.“

    latimes.com/world-nation/story

  22. #israel #lebanon : #militaryinvasion / #idf / #aiwarfare / #targetedkillings / #lavender / #reportage

    „The Israeli military has used a targeting system powered by artificial intelligence to launch what it says are attacks on #Hezbollah in Lebanon.

    The system fuses data from various sources, including smartphones, security and traffic cameras, Wi-Fi signals, drones and social media.

    Experts warn that AI-powered systems could misidentify civilians.“

    latimes.com/world-nation/story

  23. "Keeping a human in the loop may not provide the safeguard people imagine, because the human cannot know the AI’s intention before it acts. Advanced AI systems do not simply execute instructions; they interpret them. If operators fail to define their objectives carefully enough—a highly likely scenario in high-pressure situations—the “black box” system could be doing exactly what it was told and still not acting as humans intended.

    This “intention gap” between AI systems and human operators is precisely why we hesitate to deploy frontier black-box AI in civilian health care or air traffic control, and why its integration into the workplace remains fraught—yet we are rushing to deploy it on the battlefield.

    To make matters worse, if one side in a conflict deploys fully autonomous weapons, which operate at machine speed and scale, the pressure to remain competitive would push the other side to rely on such weapons too. This means the use of increasingly autonomous—and opaque—AI decision-making in war is only likely to grow."

    technologyreview.com/2026/04/1

    #AI #AIWarfare #HumanInTheLoop

  24. "Keeping a human in the loop may not provide the safeguard people imagine, because the human cannot know the AI’s intention before it acts. Advanced AI systems do not simply execute instructions; they interpret them. If operators fail to define their objectives carefully enough—a highly likely scenario in high-pressure situations—the “black box” system could be doing exactly what it was told and still not acting as humans intended.

    This “intention gap” between AI systems and human operators is precisely why we hesitate to deploy frontier black-box AI in civilian health care or air traffic control, and why its integration into the workplace remains fraught—yet we are rushing to deploy it on the battlefield.

    To make matters worse, if one side in a conflict deploys fully autonomous weapons, which operate at machine speed and scale, the pressure to remain competitive would push the other side to rely on such weapons too. This means the use of increasingly autonomous—and opaque—AI decision-making in war is only likely to grow."

    technologyreview.com/2026/04/1

    #AI #AIWarfare #HumanInTheLoop

  25. "Keeping a human in the loop may not provide the safeguard people imagine, because the human cannot know the AI’s intention before it acts. Advanced AI systems do not simply execute instructions; they interpret them. If operators fail to define their objectives carefully enough—a highly likely scenario in high-pressure situations—the “black box” system could be doing exactly what it was told and still not acting as humans intended.

    This “intention gap” between AI systems and human operators is precisely why we hesitate to deploy frontier black-box AI in civilian health care or air traffic control, and why its integration into the workplace remains fraught—yet we are rushing to deploy it on the battlefield.

    To make matters worse, if one side in a conflict deploys fully autonomous weapons, which operate at machine speed and scale, the pressure to remain competitive would push the other side to rely on such weapons too. This means the use of increasingly autonomous—and opaque—AI decision-making in war is only likely to grow."

    technologyreview.com/2026/04/1

    #AI #AIWarfare #HumanInTheLoop

  26. "Keeping a human in the loop may not provide the safeguard people imagine, because the human cannot know the AI’s intention before it acts. Advanced AI systems do not simply execute instructions; they interpret them. If operators fail to define their objectives carefully enough—a highly likely scenario in high-pressure situations—the “black box” system could be doing exactly what it was told and still not acting as humans intended.

    This “intention gap” between AI systems and human operators is precisely why we hesitate to deploy frontier black-box AI in civilian health care or air traffic control, and why its integration into the workplace remains fraught—yet we are rushing to deploy it on the battlefield.

    To make matters worse, if one side in a conflict deploys fully autonomous weapons, which operate at machine speed and scale, the pressure to remain competitive would push the other side to rely on such weapons too. This means the use of increasingly autonomous—and opaque—AI decision-making in war is only likely to grow."

    technologyreview.com/2026/04/1

    #AI #AIWarfare #HumanInTheLoop

  27. "Keeping a human in the loop may not provide the safeguard people imagine, because the human cannot know the AI’s intention before it acts. Advanced AI systems do not simply execute instructions; they interpret them. If operators fail to define their objectives carefully enough—a highly likely scenario in high-pressure situations—the “black box” system could be doing exactly what it was told and still not acting as humans intended.

    This “intention gap” between AI systems and human operators is precisely why we hesitate to deploy frontier black-box AI in civilian health care or air traffic control, and why its integration into the workplace remains fraught—yet we are rushing to deploy it on the battlefield.

    To make matters worse, if one side in a conflict deploys fully autonomous weapons, which operate at machine speed and scale, the pressure to remain competitive would push the other side to rely on such weapons too. This means the use of increasingly autonomous—and opaque—AI decision-making in war is only likely to grow."

    technologyreview.com/2026/04/1

    #AI #AIWarfare #HumanInTheLoop

  28. "These developments point to a deeper structural reality, that the US national growth model is increasingly organised around a triangular system between private credit financing, AI infrastructure, and military demand. The financial and real economic fragility of which the private credit liquidity crisis is a symptom, is intersecting and converging with AI in structurally significant ways. While disrupting the software services universe, AI is absorbing large sums of capital for investments in chip production, data centres and related infrastructure (including in requirements such as land, energy sources, cooling systems, and computing capacity). A significant share of that investment is being funded with credit from private credit vehicles. It is now emerging that the hype around AI, driven by the surging demand for high-end chips produced by ‘market-favourite’ Nvidia and newer entrants like AMD, is now being questioned by the lack-lustre returns from deployment of AI by downstream businesses. While some firms do record revenue growth from AI use or deployment, the investment needed is proving to be difficult to justify for many others. So, the demand and revenue growth projections implicit in the rising valuations of AI firms themselves increasingly appear to be driven by hype rather than reasoned, evidence-backed judgements."

    developingeconomics.org/2026/0

    #USA #Iran #War #PrivateCredit #Finance #AI #BigTech #AIWarfare

  29. "These developments point to a deeper structural reality, that the US national growth model is increasingly organised around a triangular system between private credit financing, AI infrastructure, and military demand. The financial and real economic fragility of which the private credit liquidity crisis is a symptom, is intersecting and converging with AI in structurally significant ways. While disrupting the software services universe, AI is absorbing large sums of capital for investments in chip production, data centres and related infrastructure (including in requirements such as land, energy sources, cooling systems, and computing capacity). A significant share of that investment is being funded with credit from private credit vehicles. It is now emerging that the hype around AI, driven by the surging demand for high-end chips produced by ‘market-favourite’ Nvidia and newer entrants like AMD, is now being questioned by the lack-lustre returns from deployment of AI by downstream businesses. While some firms do record revenue growth from AI use or deployment, the investment needed is proving to be difficult to justify for many others. So, the demand and revenue growth projections implicit in the rising valuations of AI firms themselves increasingly appear to be driven by hype rather than reasoned, evidence-backed judgements."

    developingeconomics.org/2026/0

    #USA #Iran #War #PrivateCredit #Finance #AI #BigTech #AIWarfare

  30. "These developments point to a deeper structural reality, that the US national growth model is increasingly organised around a triangular system between private credit financing, AI infrastructure, and military demand. The financial and real economic fragility of which the private credit liquidity crisis is a symptom, is intersecting and converging with AI in structurally significant ways. While disrupting the software services universe, AI is absorbing large sums of capital for investments in chip production, data centres and related infrastructure (including in requirements such as land, energy sources, cooling systems, and computing capacity). A significant share of that investment is being funded with credit from private credit vehicles. It is now emerging that the hype around AI, driven by the surging demand for high-end chips produced by ‘market-favourite’ Nvidia and newer entrants like AMD, is now being questioned by the lack-lustre returns from deployment of AI by downstream businesses. While some firms do record revenue growth from AI use or deployment, the investment needed is proving to be difficult to justify for many others. So, the demand and revenue growth projections implicit in the rising valuations of AI firms themselves increasingly appear to be driven by hype rather than reasoned, evidence-backed judgements."

    developingeconomics.org/2026/0

    #USA #Iran #War #PrivateCredit #Finance #AI #BigTech #AIWarfare

  31. "These developments point to a deeper structural reality, that the US national growth model is increasingly organised around a triangular system between private credit financing, AI infrastructure, and military demand. The financial and real economic fragility of which the private credit liquidity crisis is a symptom, is intersecting and converging with AI in structurally significant ways. While disrupting the software services universe, AI is absorbing large sums of capital for investments in chip production, data centres and related infrastructure (including in requirements such as land, energy sources, cooling systems, and computing capacity). A significant share of that investment is being funded with credit from private credit vehicles. It is now emerging that the hype around AI, driven by the surging demand for high-end chips produced by ‘market-favourite’ Nvidia and newer entrants like AMD, is now being questioned by the lack-lustre returns from deployment of AI by downstream businesses. While some firms do record revenue growth from AI use or deployment, the investment needed is proving to be difficult to justify for many others. So, the demand and revenue growth projections implicit in the rising valuations of AI firms themselves increasingly appear to be driven by hype rather than reasoned, evidence-backed judgements."

    developingeconomics.org/2026/0

    #USA #Iran #War #PrivateCredit #Finance #AI #BigTech #AIWarfare

  32. "These developments point to a deeper structural reality, that the US national growth model is increasingly organised around a triangular system between private credit financing, AI infrastructure, and military demand. The financial and real economic fragility of which the private credit liquidity crisis is a symptom, is intersecting and converging with AI in structurally significant ways. While disrupting the software services universe, AI is absorbing large sums of capital for investments in chip production, data centres and related infrastructure (including in requirements such as land, energy sources, cooling systems, and computing capacity). A significant share of that investment is being funded with credit from private credit vehicles. It is now emerging that the hype around AI, driven by the surging demand for high-end chips produced by ‘market-favourite’ Nvidia and newer entrants like AMD, is now being questioned by the lack-lustre returns from deployment of AI by downstream businesses. While some firms do record revenue growth from AI use or deployment, the investment needed is proving to be difficult to justify for many others. So, the demand and revenue growth projections implicit in the rising valuations of AI firms themselves increasingly appear to be driven by hype rather than reasoned, evidence-backed judgements."

    developingeconomics.org/2026/0

    #USA #Iran #War #PrivateCredit #Finance #AI #BigTech #AIWarfare

  33. Blaming AI error for the US attack on Shajareh Tayyebeh misses the point, argues Kevin Baker. This isn’t something better guardrails or algorithms could have stopped. The real fault lies with the people who decided to compress kill chains, build systems that generate thousands of targeting decisions each hour, and launch illegal wars 👇

    #AIWarfare #KillChain #MilitaryAI
    artificialbureaucracy.substack