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#mooreslaw — Public Fediverse posts

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

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  1. Everything stored on these old arrays could today be written to a single 20TB Sata disc.

    Apparently the Moore's Law for storage is Kryder's Law.

  2. Everything stored on these old arrays could today be written to a single 20TB Sata disc.

    Apparently the Moore's Law for storage is Kryder's Law.

    #IT #computing #hardware #StorageArray #20GB #progress #KrydersLaw #MooresLaw

  3. Everything stored on these old arrays could today be written to a single 20TB Sata disc.

    Apparently the Moore's Law for storage is Kryder's Law.

    #IT #computing #hardware #StorageArray #20GB #progress #KrydersLaw #MooresLaw

  4. Everything stored on these old arrays could today be written to a single 20TB Sata disc.

    Apparently the Moore's Law for storage is Kryder's Law.

    #IT #computing #hardware #StorageArray #20GB #progress #KrydersLaw #MooresLaw

  5. Everything stored on these old arrays could today be written to a single 20TB Sata disc.

    Apparently the Moore's Law for storage is Kryder's Law.

    #IT #computing #hardware #StorageArray #20GB #progress #KrydersLaw #MooresLaw

  6. 💼🤖 Oh no, the "genius" coders have to pay for their virtual avocado toasts now! 😱 Who would have thought Moore's Law wasn't a magical money printer forever? 🥲 Time to put on those big boy pants and actually optimize code! 🚀
    dbreunig.com/2026/08/23/fable- #geniuscoders #avocadotoast #MooresLaw #codeoptimization #techhumor #softwaredevelopment #HackerNews #ngated

  7. 💼🤖 Oh no, the "genius" coders have to pay for their virtual avocado toasts now! 😱 Who would have thought Moore's Law wasn't a magical money printer forever? 🥲 Time to put on those big boy pants and actually optimize code! 🚀
    dbreunig.com/2026/08/23/fable- #geniuscoders #avocadotoast #MooresLaw #codeoptimization #techhumor #softwaredevelopment #HackerNews #ngated

  8. 💼🤖 Oh no, the "genius" coders have to pay for their virtual avocado toasts now! 😱 Who would have thought Moore's Law wasn't a magical money printer forever? 🥲 Time to put on those big boy pants and actually optimize code! 🚀
    dbreunig.com/2026/08/23/fable- #geniuscoders #avocadotoast #MooresLaw #codeoptimization #techhumor #softwaredevelopment #HackerNews #ngated

  9. 💼🤖 Oh no, the "genius" coders have to pay for their virtual avocado toasts now! 😱 Who would have thought Moore's Law wasn't a magical money printer forever? 🥲 Time to put on those big boy pants and actually optimize code! 🚀
    dbreunig.com/2026/08/23/fable- #geniuscoders #avocadotoast #MooresLaw #codeoptimization #techhumor #softwaredevelopment #HackerNews #ngated

  10. 💼🤖 Oh no, the "genius" coders have to pay for their virtual avocado toasts now! 😱 Who would have thought Moore's Law wasn't a magical money printer forever? 🥲 Time to put on those big boy pants and actually optimize code! 🚀
    dbreunig.com/2026/08/23/fable- #geniuscoders #avocadotoast #MooresLaw #codeoptimization #techhumor #softwaredevelopment #HackerNews #ngated

  11. youtu.be/DQ_rxSKYkE4 I read about these 10 years ago and wondered when they would start fixing the #MooresLaw breakdown as promised. Apparently, soon and with the serious push for #AI , companies left out of the #datacenter push will be funneling money into these. A data center full of these could be the equivalent of 400 data centers. They can be a LOT smaller. AI was always expected to advance with both software AND hardware advances. A decade from now all of that energy will have been wasted and data centers will be so much smaller and sparse and efficient. AI is great for certain things but we need to be more like #China, where they are building 1/10th the data centers we are with 5 times the people but only using there where they are needed. Once the hardware catches up, the prices will drop
    400x FASTER? Germany Just Built the Ultimate Chip!
  12. youtu.be/DQ_rxSKYkE4 I read about these 10 years ago and wondered when they would start fixing the #MooresLaw breakdown as promised. Apparently, soon and with the serious push for #AI , companies left out of the #datacenter push will be funneling money into these. A data center full of these could be the equivalent of 400 data centers. They can be a LOT smaller. AI was always expected to advance with both software AND hardware advances. A decade from now all of that energy will have been wasted and data centers will be so much smaller and sparse and efficient. AI is great for certain things but we need to be more like #China, where they are building 1/10th the data centers we are with 5 times the people but only using there where they are needed. Once the hardware catches up, the prices will drop
    400x FASTER? Germany Just Built the Ultimate Chip!
  13. youtu.be/DQ_rxSKYkE4 I read about these 10 years ago and wondered when they would start fixing the #MooresLaw breakdown as promised. Apparently, soon and with the serious push for #AI , companies left out of the #datacenter push will be funneling money into these. A data center full of these could be the equivalent of 400 data centers. They can be a LOT smaller. AI was always expected to advance with both software AND hardware advances. A decade from now all of that energy will have been wasted and data centers will be so much smaller and sparse and efficient. AI is great for certain things but we need to be more like #China, where they are building 1/10th the data centers we are with 5 times the people but only using there where they are needed. Once the hardware catches up, the prices will drop
    400x FASTER? Germany Just Built the Ultimate Chip!
  14. youtu.be/DQ_rxSKYkE4 I read about these 10 years ago and wondered when they would start fixing the #MooresLaw breakdown as promised. Apparently, soon and with the serious push for #AI , companies left out of the #datacenter push will be funneling money into these. A data center full of these could be the equivalent of 400 data centers. They can be a LOT smaller. AI was always expected to advance with both software AND hardware advances. A decade from now all of that energy will have been wasted and data centers will be so much smaller and sparse and efficient. AI is great for certain things but we need to be more like #China, where they are building 1/10th the data centers we are with 5 times the people but only using there where they are needed. Once the hardware catches up, the prices will drop
    400x FASTER? Germany Just Built the Ultimate Chip!
  15. [en] Moore’s Law? When #computer chips can't get smaller (can they?)

    "... in the last 15 years, transistors have gotten close to the point where #quantum mechanics starts to interfere with their function: just a few dozen nanometers in size. They can’t get smaller."

    "... approach familiar to urban planners: build up. On Thursday, #IBM announced it has created a #chip that uses this strategy. The new #architecture, known as a #nanostack, vertically stacks transistors in two layers on a #silicon chip."

    technologyreview.com/2026/06/2

    #transistor #moore #mooreslaw #quantummechanics

  16. [en] Moore’s Law? When #computer chips can't get smaller (can they?)

    "... in the last 15 years, transistors have gotten close to the point where #quantum mechanics starts to interfere with their function: just a few dozen nanometers in size. They can’t get smaller."

    "... approach familiar to urban planners: build up. On Thursday, #IBM announced it has created a #chip that uses this strategy. The new #architecture, known as a #nanostack, vertically stacks transistors in two layers on a #silicon chip."

    technologyreview.com/2026/06/2

    #transistor #moore #mooreslaw #quantummechanics

  17. [en] Moore’s Law? When #computer chips can't get smaller (can they?)

    "... in the last 15 years, transistors have gotten close to the point where #quantum mechanics starts to interfere with their function: just a few dozen nanometers in size. They can’t get smaller."

    "... approach familiar to urban planners: build up. On Thursday, #IBM announced it has created a #chip that uses this strategy. The new #architecture, known as a #nanostack, vertically stacks transistors in two layers on a #silicon chip."

    technologyreview.com/2026/06/2

    #transistor #moore #mooreslaw #quantummechanics

  18. [en] Moore’s Law? When #computer chips can't get smaller (can they?)

    "... in the last 15 years, transistors have gotten close to the point where #quantum mechanics starts to interfere with their function: just a few dozen nanometers in size. They can’t get smaller."

    "... approach familiar to urban planners: build up. On Thursday, #IBM announced it has created a #chip that uses this strategy. The new #architecture, known as a #nanostack, vertically stacks transistors in two layers on a #silicon chip."

    technologyreview.com/2026/06/2

    #transistor #moore #mooreslaw #quantummechanics

  19. [en] Moore’s Law? When #computer chips can't get smaller (can they?)

    "... in the last 15 years, transistors have gotten close to the point where #quantum mechanics starts to interfere with their function: just a few dozen nanometers in size. They can’t get smaller."

    "... approach familiar to urban planners: build up. On Thursday, #IBM announced it has created a #chip that uses this strategy. The new #architecture, known as a #nanostack, vertically stacks transistors in two layers on a #silicon chip."

    technologyreview.com/2026/06/2

    #transistor #moore #mooreslaw #quantummechanics

  20. Data centers kill Dolphins!

    Ok, now that the Algos like me, No they don't, I want to say some words that for some reason are not being said? Words that I learned from a text book, but the words "All People Seem To Need Data Processing" Those were not taught as a sentence but a numeric. The point in the sentence was assumed by everyone, up until 2026 when Americans decided they HATE data processing. The OSI Model: Application Presentation Session Transport Network Data Link Physical It is the foundation to […]

    proe.whimm.ing/data-centers-ki

  21. Data centers kill Dolphins!

    Ok, now that the Algos like me, No they don't, I want to say some words that for some reason are not being said? Words that I learned from a text book, but the words "All People Seem To Need Data Processing" Those were not taught as a sentence but a numeric. The point in the sentence was assumed by everyone, up until 2026 when Americans decided they HATE data processing. The OSI Model: Application Presentation Session Transport Network Data Link Physical It is the foundation to […]

    proe.whimm.ing/data-centers-ki

  22. Data centers kill Dolphins!

    Ok, now that the Algos like me, No they don't, I want to say some words that for some reason are not being said? Words that I learned from a text book, but the words "All People Seem To Need Data Processing" Those were not taught as a sentence but a numeric. The point in the sentence was assumed by everyone, up until 2026 when Americans decided they HATE data processing. The OSI Model: Application Presentation Session Transport Network Data Link Physical It is the foundation to […]

    proe.whimm.ing/data-centers-ki

  23. Data centers kill Dolphins!

    Ok, now that the Algos like me, No they don't, I want to say some words that for some reason are not being said? Words that I learned from a text book, but the words "All People Seem To Need Data Processing" Those were not taught as a sentence but a numeric. The point in the sentence was assumed by everyone, up until 2026 when Americans decided they HATE data processing. The OSI Model: Application Presentation Session Transport Network Data Link Physical It is the foundation to […]

    proe.whimm.ing/data-centers-ki

  24. #OpenAccess book ->

    100% Utilization: Computation and Labor After Moore's Law

    Andrew Lison

    (MIT Press, 2026)

    mitpress.mit.edu/9780262051361

    "A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation

    Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years.

    Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation, emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor."

    #Automation #Marxism #PoliticalEconomy #MooresLaw #SiliconValley #Employment

  25. #OpenAccess book ->

    100% Utilization: Computation and Labor After Moore's Law

    Andrew Lison

    (MIT Press, 2026)

    mitpress.mit.edu/9780262051361

    "A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation

    Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years.

    Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation, emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor."

    #Automation #Marxism #PoliticalEconomy #MooresLaw #SiliconValley #Employment

  26. #OpenAccess book ->

    100% Utilization: Computation and Labor After Moore's Law

    Andrew Lison

    (MIT Press, 2026)

    mitpress.mit.edu/9780262051361

    "A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation

    Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years.

    Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation, emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor."

    #Automation #Marxism #PoliticalEconomy #MooresLaw #SiliconValley #Employment

  27. #OpenAccess book ->

    100% Utilization: Computation and Labor After Moore's Law

    Andrew Lison

    (MIT Press, 2026)

    mitpress.mit.edu/9780262051361

    "A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation

    Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years.

    Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation, emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor."

    #Automation #Marxism #PoliticalEconomy #MooresLaw #SiliconValley #Employment

  28. #OpenAccess book ->

    100% Utilization: Computation and Labor After Moore's Law

    Andrew Lison

    (MIT Press, 2026)

    mitpress.mit.edu/9780262051361

    "A wide-ranging analysis of how the material limits to discrete, silicon-based computing power impact employment and automation

    Since the end of the Second World War, we have come to expect continual growth in computing power and the rapid development of digital technology. This dynamic has enabled informational procedures to supplant an ever-increasing range of human and mechanical activity. However, indications that the semiconductor industry is approaching the physical limits of integrated circuitry pose an existential challenge to Intel Corporation cofounder Gordon Moore’s “law,” which prescribes an exponential increase in microchip density—and, by extension, processing performance—every two years.

    Placing theories of employment in dialectical conjunction with the concrete operations of computing, 100% Utilization explores the consequences of pushing processing power to its limits for a culture seemingly reliant on automation as much as human labor. In accounting for this contradiction, Andrew Lison offers a corrective to theories of digital mediation, emphasizing its symbolic and representational capabilities. He connects the looming end of Moore’s law to trends in semiconductor manufacturing, custom hardware, and parallelized software techniques, including AI. Ultimately, he traces this historical technological boom and impending bust through the racialized history of Silicon Valley to longer-term conceptions of the relationship between machinery and labor."

    #Automation #Marxism #PoliticalEconomy #MooresLaw #SiliconValley #Employment

  29. Researchers develop a 3D silicon stacking process, allowing circuits to be layered to increase computing power and extend Moore's Law

    A new manufacturing process using ultra-thin silicon membranes and low-temperature techniques allows for the stacking of circuits in multiple layers.

    newsnews.ai/article/3d-silicon

  30. Researchers develop a 3D silicon stacking process, allowing circuits to be layered to increase computing power and extend Moore's Law

    A new manufacturing process using ultra-thin silicon membranes and low-temperature techniques allows for the stacking of circuits in multiple layers.

    newsnews.ai/article/3d-silicon

    #Semiconductors #MooresLaw #Technology

  31. Researchers develop a 3D silicon stacking process, allowing circuits to be layered to increase computing power and extend Moore's Law

    A new manufacturing process using ultra-thin silicon membranes and low-temperature techniques allows for the stacking of circuits in multiple layers.

    newsnews.ai/article/3d-silicon

    #Semiconductors #MooresLaw #Technology

  32. Researchers develop a 3D silicon stacking process, allowing circuits to be layered to increase computing power and extend Moore's Law

    A new manufacturing process using ultra-thin silicon membranes and low-temperature techniques allows for the stacking of circuits in multiple layers.

    newsnews.ai/article/3d-silicon

    #Semiconductors #MooresLaw #Technology

  33. Researchers develop a 3D silicon stacking process, allowing circuits to be layered to increase computing power and extend Moore's Law

    A new manufacturing process using ultra-thin silicon membranes and low-temperature techniques allows for the stacking of circuits in multiple layers.

    newsnews.ai/article/3d-silicon

    #Semiconductors #MooresLaw #Technology

  34. The "AI" phenomenon and craze has been discussed endlessly, including the vast computational and energy requirements of dedicated #datacenters

    There is an important split betwen model building and inference of statistical models (and hence also #llm ) which means there is not one but two problems to solve.

    The first one is *highly* non-trivial. It bumps against #mooreslaw and requires #supercomputing networking tricks. The datacenter must operate as one giant machine

    openai.com/index/mrc-supercomp