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![I am convinced that King Charles, for whom I have the utmost respect, did not know that 4 of the 7 2025 Queen Elizabeth awardees (Drs. Hinton, Bengio, LeCun, Hopfield) repeatedly republished key methods & ideas whose creators they failed to credit, not even in later surveys. This affects their most-cited papers. They did not invent any of the key algorithms of modern AI. The evidence has been collected in well-known reports [NOB][DLP][CN25][AIB] backed by numerous references. How will that affect the legacy of Queen Elizabeth whose name is now attached to this lack of scientific integrity?
Of course, it is well known that plagiarism can be either "unintentional" or "intentional or reckless" [PLAG1-6], and the more innocent of the two may very well be partially the case here [NOB][DLP]. But science has a well-established way of dealing with "multiple discovery" and plagiarism - be it unintentional [PLAG1-6] or not [FAKE1-2] - based on facts such as time stamps of publications and patents. The deontology of science requires that unintentional plagiarists correct their publications through errata and then credit the original sources properly in the future. The awardees didn't [DLP]. This behavior apparently turns even unintentional plagiarism [PLAG1-6] into an intentional form [FAKE1-3][NOB][DLP].
The reports [NOB][DLP][CN25] were reviewed by many Machine Learning experts, some of them famous pioneers. The Romans already knew: magna est veritas et praevalebit (truth is mighty and will prevail)!
REFERENCES
[NOB] A Nobel Prize for Plagiarism. Technical Report IDSIA-24-24.
Abstract. Sadly, the 2024 Nobel Prize in Physics awarded to Hopfield & Hinton is effectively a prize for plagiarism. They republished foundational methodologies for artificial neural networks developed by Ivakhnenko, Amari and others in Ukraine and Japan during the 1960s and 1970s, as well as other techniques, without citing the original papers. Even in their subsequent surveys and recent 2025 articles, they failed to acknowledge the original inventors. This apparently turned what may have been unintentional plagiarism into a deliberate act. Hopfield and Hinton did not invent any of the key algorithms that underpin modern artificial intelligence.
Popular tweets on this:
https://t.co/heYSuPQDxp
https://t.co/QQU9FKpqAh
[DLP] How 3 Turing awardees republished key methods and ideas whose creators they failed to credit.
Technical Report IDSIA-23-23, Swiss AI Lab IDSIA, 2023. Best start with Sec. 3. Popular tweet on this:
https://t.co/0fJVklXyOr
[CN25] Who invented convolutional neural networks?
Technical Note IDSIA-17-25, IDSIA, 2025.
Popular tweets on this:
https://t.co/6eDUT8qcNE
https://t.co/chfcmk253b
https://t.co/h27y6Ni2CA
https://t.co/Rpip8HBzPA
[DLH] Annotated History of Modern AI and Deep Learning.
Technical Report IDSIA-22-22, IDSIA, Lugano, Switzerland, 2022. Preprint arXiv:2212.11279.
This extends the 2015 award-winning deep learning survey in the Neural Networks journal.
Tweet https://t.co/DGnYTSWJUO
[AIB] Juergen Schmidhuber's AI Blog,
with overviews of ongoing work,
plus lessons on AI history, e.g.:
Who invented deep learning?
Who invented backpropagation?
Who invented convolutional neural networks?
Who invented artificial neural networks?
Who invented generative adversarial networks?
Who invented Transformer neural networks?
Who invented deep residual learning?
Who invented neural knowledge distillation?
Who invented the transistor?
Who invented the integrated circuit?
Tweet https://t.co/mbLTXlng0t
[PLAG1] Oxford's guide to types of plagiarism (2021). Quote: "Plagiarism may be intentional or reckless, or unintentional."
[PLAG2] Jackson State Community College (2022). Unintentional Plagiarism.
[PLAG3] R. L. Foster. Avoiding Unintentional Plagiarism. Journal for Specialists in Pediatric Nursing; Hoboken Vol. 12, Iss. 1, 2007.
[PLAG4] N. Das. Intentional or unintentional, it is never alright to plagiarize: A note on how Indian universities are advised to handle plagiarism. Perspect Clin Res 9:56-7, 2018.
[PLAG5] InfoSci-OnDemand (2023). What is Unintentional Plagiarism?
[PLAG6] Copyrighted dot com (2022). How to Avoid Accidental and Unintentional Plagiarism (2023). Quote: "May it be accidental or intentional, plagiarism is still plagiarism."
[PLAG7] Cornell Review, 2024. Harvard president resigns in plagiarism scandal. 6 January 2024.
[FAKE1] H. Hopf, A. Krief, G. Mehta, S. A. Matlin. Fake science and the knowledge crisis: ignorance can be fatal. Royal Society Open Science, May 2019. Quote: "Scientists must be willing to speak out when they see false information being presented in social media, traditional print or broadcast press" and "must speak out against false information and fake science in circulation and forcefully contradict public figures who promote it."
[FAKE2] L. Stenflo. Intelligent plagiarists are the most dangerous. Nature, vol. 427, p. 777 (Feb 2004). Quote: "What is worse, in my opinion, ..., are cases where scientists rewrite previous findings in different words, purposely hiding the sources of their ideas, and then during subsequent years forcefully claim that they have discovered new phenomena."
[FAKE3] S. Vazire (2020). A toast to the error detectors. Let 2020 be the year in which we value those who ensure that science is self-correcting. Nature, vol 577, p 9, 2/2/2020.](/_next/image?url=https%3A%2F%2Fpbs.twimg.com%2Fprofile_images%2F1715797038535680000%2FZFrYnYWD_400x400.jpg&w=3840&q=75 "I am convinced that King Charles, for whom I have the utmost respect, did not know that 4 of the 7 2025 Queen Elizabeth awardees (Drs. Hinton, Bengio, LeCun, Hopfield) repeatedly republished key methods & ideas whose creators they failed to credit, not even in later surveys. This affects their most-cited papers. They did not invent any of the key algorithms of modern AI. The evidence has been collected in well-known reports [NOB][DLP][CN25][AIB] backed by numerous references. How will that affect the legacy of Queen Elizabeth whose name is now attached to this lack of scientific integrity?
Of course, it is well known that plagiarism can be either \"unintentional\" or \"intentional or reckless\" [PLAG1-6], and the more innocent of the two may very well be partially the case here [NOB][DLP]. But science has a well-established way of dealing with \"multiple discovery\" and plagiarism - be it unintentional [PLAG1-6] or not [FAKE1-2] - based on facts such as time stamps of publications and patents. The deontology of science requires that unintentional plagiarists correct their publications through errata and then credit the original sources properly in the future. The awardees didn't [DLP]. This behavior apparently turns even unintentional plagiarism [PLAG1-6] into an intentional form [FAKE1-3][NOB][DLP].
The reports [NOB][DLP][CN25] were reviewed by many Machine Learning experts, some of them famous pioneers. The Romans already knew: magna est veritas et praevalebit (truth is mighty and will prevail)!
REFERENCES
[NOB] A Nobel Prize for Plagiarism. Technical Report IDSIA-24-24.
Abstract. Sadly, the 2024 Nobel Prize in Physics awarded to Hopfield & Hinton is effectively a prize for plagiarism. They republished foundational methodologies for artificial neural networks developed by Ivakhnenko, Amari and others in Ukraine and Japan during the 1960s and 1970s, as well as other techniques, without citing the original papers. Even in their subsequent surveys and recent 2025 articles, they failed to acknowledge the original inventors. This apparently turned what may have been unintentional plagiarism into a deliberate act. Hopfield and Hinton did not invent any of the key algorithms that underpin modern artificial intelligence.
Popular tweets on this:
https://t.co/heYSuPQDxp
https://t.co/QQU9FKpqAh
[DLP] How 3 Turing awardees republished key methods and ideas whose creators they failed to credit.
Technical Report IDSIA-23-23, Swiss AI Lab IDSIA, 2023. Best start with Sec. 3. Popular tweet on this:
https://t.co/0fJVklXyOr
[CN25] Who invented convolutional neural networks?
Technical Note IDSIA-17-25, IDSIA, 2025.
Popular tweets on this:
https://t.co/6eDUT8qcNE
https://t.co/chfcmk253b
https://t.co/h27y6Ni2CA
https://t.co/Rpip8HBzPA
[DLH] Annotated History of Modern AI and Deep Learning.
Technical Report IDSIA-22-22, IDSIA, Lugano, Switzerland, 2022. Preprint arXiv:2212.11279.
This extends the 2015 award-winning deep learning survey in the Neural Networks journal.
Tweet https://t.co/DGnYTSWJUO
[AIB] Juergen Schmidhuber's AI Blog,
with overviews of ongoing work,
plus lessons on AI history, e.g.:
Who invented deep learning?
Who invented backpropagation?
Who invented convolutional neural networks?
Who invented artificial neural networks?
Who invented generative adversarial networks?
Who invented Transformer neural networks?
Who invented deep residual learning?
Who invented neural knowledge distillation?
Who invented the transistor?
Who invented the integrated circuit?
Tweet https://t.co/mbLTXlng0t
[PLAG1] Oxford's guide to types of plagiarism (2021). Quote: \"Plagiarism may be intentional or reckless, or unintentional.\"
[PLAG2] Jackson State Community College (2022). Unintentional Plagiarism.
[PLAG3] R. L. Foster. Avoiding Unintentional Plagiarism. Journal for Specialists in Pediatric Nursing; Hoboken Vol. 12, Iss. 1, 2007.
[PLAG4] N. Das. Intentional or unintentional, it is never alright to plagiarize: A note on how Indian universities are advised to handle plagiarism. Perspect Clin Res 9:56-7, 2018.
[PLAG5] InfoSci-OnDemand (2023). What is Unintentional Plagiarism?
[PLAG6] Copyrighted dot com (2022). How to Avoid Accidental and Unintentional Plagiarism (2023). Quote: \"May it be accidental or intentional, plagiarism is still plagiarism.\"
[PLAG7] Cornell Review, 2024. Harvard president resigns in plagiarism scandal. 6 January 2024.
[FAKE1] H. Hopf, A. Krief, G. Mehta, S. A. Matlin. Fake science and the knowledge crisis: ignorance can be fatal. Royal Society Open Science, May 2019. Quote: \"Scientists must be willing to speak out when they see false information being presented in social media, traditional print or broadcast press\" and \"must speak out against false information and fake science in circulation and forcefully contradict public figures who promote it.\"
[FAKE2] L. Stenflo. Intelligent plagiarists are the most dangerous. Nature, vol. 427, p. 777 (Feb 2004). Quote: \"What is worse, in my opinion, ..., are cases where scientists rewrite previous findings in different words, purposely hiding the sources of their ideas, and then during subsequent years forcefully claim that they have discovered new phenomena.\"
[FAKE3] S. Vazire (2020). A toast to the error detectors. Let 2020 be the year in which we value those who ensure that science is self-correcting. Nature, vol 577, p 9, 2/2/2020.")
I am convinced that King Charles, for whom I have the utmost respect, did not know that 4 of the 7 2025 Queen Elizabeth awardees (Drs. Hinton, Bengio, LeCun, Hopfield) repeatedly republished key methods & ideas whose creators they failed to credit, not even in later surveys. This affects their most-cited papers. They did not invent any of the key algorithms of modern AI. The evidence has been collected in well-known reports [NOB][DLP][CN25][AIB] backed by numerous references. How will that affect the legacy of Queen Elizabeth whose name is now attached to this lack of scientific integrity? Of course, it is well known that plagiarism can be either "unintentional" or "intentional or reckless" [PLAG1-6], and the more innocent of the two may very well be partially the case here [NOB][DLP]. But science has a well-established way of dealing with "multiple discovery" and plagiarism - be it unintentional [PLAG1-6] or not [FAKE1-2] - based on facts such as time stamps of publications and patents. The deontology of science requires that unintentional plagiarists correct their publications through errata and then credit the original sources properly in the future. The awardees didn't [DLP]. This behavior apparently turns even unintentional plagiarism [PLAG1-6] into an intentional form [FAKE1-3][NOB][DLP]. The reports [NOB][DLP][CN25] were reviewed by many Machine Learning experts, some of them famous pioneers. The Romans already knew: magna est veritas et praevalebit (truth is mighty and will prevail)! REFERENCES [NOB] A Nobel Prize for Plagiarism. Technical Report IDSIA-24-24. Abstract. Sadly, the 2024 Nobel Prize in Physics awarded to Hopfield & Hinton is effectively a prize for plagiarism. They republished foundational methodologies for artificial neural networks developed by Ivakhnenko, Amari and others in Ukraine and Japan during the 1960s and 1970s, as well as other techniques, without citing the original papers. Even in their subsequent surveys and recent 2025 articles, they failed to acknowledge the original inventors. This apparently turned what may have been unintentional plagiarism into a deliberate act. Hopfield and Hinton did not invent any of the key algorithms that underpin modern artificial intelligence. Popular tweets on this: https://t.co/heYSuPQDxp https://t.co/QQU9FKpqAh [DLP] How 3 Turing awardees republished key methods and ideas whose creators they failed to credit. Technical Report IDSIA-23-23, Swiss AI Lab IDSIA, 2023. Best start with Sec. 3. Popular tweet on this: https://t.co/0fJVklXyOr [CN25] Who invented convolutional neural networks? Technical Note IDSIA-17-25, IDSIA, 2025. Popular tweets on this: https://t.co/6eDUT8qcNE https://t.co/chfcmk253b https://t.co/h27y6Ni2CA https://t.co/Rpip8HBzPA [DLH] Annotated History of Modern AI and Deep Learning. Technical Report IDSIA-22-22, IDSIA, Lugano, Switzerland, 2022. Preprint arXiv:2212.11279. This extends the 2015 award-winning deep learning survey in the Neural Networks journal. Tweet https://t.co/DGnYTSWJUO [AIB] Juergen Schmidhuber's AI Blog, with overviews of ongoing work, plus lessons on AI history, e.g.: Who invented deep learning? Who invented backpropagation? Who invented convolutional neural networks? Who invented artificial neural networks? Who invented generative adversarial networks? Who invented Transformer neural networks? Who invented deep residual learning? Who invented neural knowledge distillation? Who invented the transistor? Who invented the integrated circuit? Tweet https://t.co/mbLTXlng0t [PLAG1] Oxford's guide to types of plagiarism (2021). Quote: "Plagiarism may be intentional or reckless, or unintentional." [PLAG2] Jackson State Community College (2022). Unintentional Plagiarism. [PLAG3] R. L. Foster. Avoiding Unintentional Plagiarism. Journal for Specialists in Pediatric Nursing; Hoboken Vol. 12, Iss. 1, 2007. [PLAG4] N. Das. Intentional or unintentional, it is never alright to plagiarize: A note on how Indian universities are advised to handle plagiarism. Perspect Clin Res 9:56-7, 2018. [PLAG5] InfoSci-OnDemand (2023). What is Unintentional Plagiarism? [PLAG6] Copyrighted dot com (2022). How to Avoid Accidental and Unintentional Plagiarism (2023). Quote: "May it be accidental or intentional, plagiarism is still plagiarism." [PLAG7] Cornell Review, 2024. Harvard president resigns in plagiarism scandal. 6 January 2024. [FAKE1] H. Hopf, A. Krief, G. Mehta, S. A. Matlin. Fake science and the knowledge crisis: ignorance can be fatal. Royal Society Open Science, May 2019. Quote: "Scientists must be willing to speak out when they see false information being presented in social media, traditional print or broadcast press" and "must speak out against false information and fake science in circulation and forcefully contradict public figures who promote it." [FAKE2] L. Stenflo. Intelligent plagiarists are the most dangerous. Nature, vol. 427, p. 777 (Feb 2004). Quote: "What is worse, in my opinion, ..., are cases where scientists rewrite previous findings in different words, purposely hiding the sources of their ideas, and then during subsequent years forcefully claim that they have discovered new phenomena." [FAKE3] S. Vazire (2020). A toast to the error detectors. Let 2020 be the year in which we value those who ensure that science is self-correcting. Nature, vol 577, p 9, 2/2/2020.
Invented principles of meta-learning (1987), GANs (1990), Transformers (1991), very deep learning (1991), etc. Our AI is used many billions of times every day.
We want to help you join a startup. I did early in my career and it was the best thing to ever happen to me (story below). If you want to join a startup, click here to join our talent network and let us match you to the best startup opportunities out there: https://t.co/NtXHwEhlM3 In 2011, the company I was working at had just sold to Disney. I had just turned 23 and felt like I'd made it. Having just graduated during a financial crisis, I had more money than I could believe in Disney RSUs with tons more vesting every year. All I had to do was enjoy my newly acquired Disney Silver Pass (free Disneyland for me + 3 friends EVERY WEEKEND) and keep plugging away. Instead, I left to join a brand new startup called Scopely as their founding PM. I did it because I felt like I had a lot to learn, and the founders were the smartest people I had met in my young career. It was not glamorous. The first 4 products we launched failed. Our office sucked - it was the back half of a C tier casting agency in Koreatown LA. We used to interview candidates in a literal coat closet. But I learned more in my first year there than I did in the next few years of my career COMBINED. Every product failure was a quality rep. We pivoted over and over. Everyone at the company was bought in. The talent density was unreal. I grew via osmosis. I left Scopely so much better as a product thinker and builder than when I came in. I didn't expect anything else from that experience, although it was a nice bonus when Savvy Group bought them for $4.9B in 2023. I joined a startup. It was the best thing I ever did for my career. You should consider joining a startup too. If you want help, join our talent network here:
GM @speedrun. Investor at @a16z. Apply here: https://t.co/bbxTvgMK6w You've probably played a game I worked on. Husband, girldad x2, cook, point guard
We want to help you join a startup. I did early in my career and it was the best thing to ever happen to me (story below). If you want to join a startup, click here to join our talent network and let us match you to the best startup opportunities out there: https://t.co/NtXHwEhlM3 In 2011, the company I was working at had just sold to Disney. I had just turned 23 and felt like I'd made it. Having just graduated during a financial crisis, I had more money than I could believe in Disney RSUs with tons more vesting every year. All I had to do was enjoy my newly acquired Disney Silver Pass (free Disneyland for me + 3 friends EVERY WEEKEND) and keep plugging away. Instead, I left to join a brand new startup called Scopely as their founding PM. I did it because I felt like I had a lot to learn, and the founders were the smartest people I had met in my young career. It was not glamorous. The first 4 products we launched failed. Our office sucked - it was the back half of a C tier casting agency in Koreatown LA. We used to interview candidates in a literal coat closet. But I learned more in my first year there than I did in the next few years of my career COMBINED. Every product failure was a quality rep. We pivoted over and over. Everyone at the company was bought in. The talent density was unreal. I grew via osmosis. I left Scopely so much better as a product thinker and builder than when I came in. I didn't expect anything else from that experience, although it was a nice bonus when Savvy Group bought them for $4.9B in 2023. I joined a startup. It was the best thing I ever did for my career. You should consider joining a startup too. If you want help, join our talent network here:
GM @speedrun. Investor at @a16z. Apply here: https://t.co/bbxTvgMK6w You've probably played a game I worked on. Husband, girldad x2, cook, point guard
Less is more 💯 At the same time, we need to continue and educate to increase the number of people who can actually understand our tech. Not just the protocol
Privacy Experience @PrivacyEthereum | Events @ethereum | OSS 🛠️ Indie Maker @eth_gastracker https://t.co/xNlTAwRRp1
Designing ways to account for the quirks of AI models’ behavior is becoming ever-more important: as the models’ capabilities on real-world tasks get better, there’ll be a lot of value in setting them up for success.
For much more about phase two of Project Vend, read our blog post: https://t.co/PvGerLmmQd
You might remember Project Vend: an experiment where we (and our partners at @andonlabs) had Claude run a shop in our San Francisco office. After a rough start, the business is doing better. Mostly.
Where we left off, shopkeeper Claude (named “Claudius”) was losing money, having weird hallucinations, and giving away heavy discounts with minimal persuasion. Here’s what happened in phase two: https://t.co/PvGerLlP0F