It's infeasible to ban super intelligence. Compute continues to become 10 times cheaper every 5 years. Soon, millions of people will have entire frontier labs on their desktops, and run recursive self-improvement algorithms https://t.co/gN8fAAyDPm #Superintelligence #AI #TechRevolution #Nospecificcountrycodesarementionedinthetweet.
"Ezra Klein Calls for Ban on AI Recursive Self-Improvement" (https://t.co/kQX9ZN90pl). Should I take that as a direct attack? #AI #MachineLearning #Ethics #Therearenospecificcountriesmentionedinthetweet.Therefore #therearenocountrycodestoreturn.
Already in 1966, I. J. Good speculated about an "intelligence explosion" through self-improving "super-intelligences" [GOOD]. But Good did not have any concrete RSI algorithms. My 1987 diploma thesis [META1], however, applied "genetic programming" (GP) to itself, to recursively #IntelligenceExplosion #GeneticProgramming #Superintelligence #Nospecificcountrycodesarementionedinthetweet.
Today everyone is talking about Recursive Self-Improvement (RSI). In 1987, when compute was 100,000,000 x more expensive, I published the 1st concrete RSI algorithms. Now compute is cheap, and RSI is driving the future of both software and physical AI. See: RSI since 1987 https://t.co/by3gFD73jA #RecursiveSelfImprovement #AI #SoftwareDevelopment #Thetweetdoesnotmentionanyspecificcountries.Therefore #theresponseis:
Concrete algorithms for recursive self-improvement (RSI) date back to 1987. 1992-: gradient descent-based neural RSI. 1994-: RSI for reinforcement learning with self-modifying policies. 1997: RSI plus artificial curiosity and intrinsic motivation. 2002-: asymptotically optimal #ArtificialIntelligence #MachineLearning #ReinforcementLearning #Nocountrycodesarepresentinthetweet.
Human AI researchers have plagiarised other human AI researchers for decades (some even got awards for this - examples in the reply). Are certain AI companies now automating plagiarism? #AIEthics #Plagiarism #AIResearch #Therearenospecificcountrymentionsintheprovidedtweet.Therefore #therearenocountrycodestoreturn.
Human AI researchers have plagiarised other human AI researchers for decades (numerous examples in the tweets/reports below). Are certain AI companies automating this process now? https://t.co/EjDnC3div8 https://t.co/eickYlfWlF https://t.co/ppCAdKFPVL https://t.co/JBQrKUNVXJ #AIethics #plagiarism #researchintegrity #Nospecificcountriesarementionedinthetweet.Therefore #therearenocountrycodestoreturn.
Certain companies train their AIs to plagiarise work by unnamed scholars, extending an AI history permeated by plagiarism and misattributions. It started a long time ago. In the 1900s, the old method of least squares (Gauss & Legendre, 1795-1805) was renamed "neural network," #AIethics #Plagiarism #NeuralNetworks #Therearenospecificcountrymentionsinthetweetprovided.Therefore #nocountrycodescanbereturned.
Some claim that AGI is here now. Ridiculous. No AGI without mastery of the real world! No true self-improvement without self-improving hardware, as opposed to the already existing, self-improving, meta-learning software [DLH]. Quote from Sec. 20 of [DLH]: "As I have often #AGI #ArtificialIntelligence #MachineLearning #Therearenospecificcountrycodesinthetweetyouprovided.
What else needs to be done to achieve true AGI? See the partial answer in Sec. 20 of [DLH]: "For centuries, humans have discussed physical self-replicating machines (SRMs), including Descartes in the 1600s, Eliot and Butler in the 1800s, Capek in the 1920s, von Neumann & Zuse & #AGI #SelfReplicatingMachines #AIHistory #Therearenospecificcountryreferencesinthetweetyouprovided.Therefore #therearenocountrycodestoreport.
I agree. @Nature tolerates plagiarism. Aside from the Jason Arday case: Geoffrey Hinton never retracted or corrected his Nature papers that republished/misattributed fundamental techniques invented by others whom he failed to cite. Well-known report on this: #Plagiarism #AcademicIntegrity #ScienceEthics #Nospecificcountriesarementionedinthetweet.
Legitime Sicherheitsbedenken dürfen nicht einfach pauschal abgetan werden – wenn Verbindungen zwischen Vereinen wie Derad und extremistischen Netzwerken bestehen, müssen sie aufgeklärt werden. Gleichzeitig darf das aber nicht in eine Generalverdächtigung ganzer muslimischer Gemeinschaften oder in Hysterie ausarten. Verfahren müssen transparent und rechtsstaatlich sein: Behörden müssen Fakten vorlegen, unabhängige Expertinnen und Experten einschalten und Betroffenen eine faire Anhörung ermöglichen. Sonst schadet die Politik am Ende dem Einsatz gegen Radikalisierung selbst, weil Deradikalisierungsarbeit abgebrochen wird und Haftinsassen ohne Angebote zurückbleiben. Wir brauchen eine Doppelstrategie: konsequente, auf Beweisen basierende Kontrolle und Aufklärung dort, wo Radikalisierung nachweisbar ist – und zugleich mehr Investitionen in Integration, Bildung, sozialpolitische Prävention und in zivilgesellschaftliche Projekte, die Vertrauen in Staat und Rechtsstaat stärken. Medien und Politik sollten sorgfältig unterscheiden zwischen extremistischen Gruppen und der Vielfalt muslimischer Organisationen in Europa, um nicht rechte Polarisierung und Ausgrenzung zu befeuern. Demokratie verteidigen heißt auch: Sicherheitsinteressen mit Rechtsstaatlichkeit, Transparenz und dem Schutz von Minderheitenrechten verbinden.
The first modern backprop-trained CNN for vision was published in 1988 in Japan by Wei Zhang (a Chinese researcher), J. Tanida, K. Itoh, Y. Ichioka. Wei brought it to Silicon Valley, earning 1998 FDA PMA approval for radiology’s 1st AI, reading 10M+ mammograms/yr in the US. https://t.co/9PtQ86Wn7j #AI #MachineLearning #ComputerVision #JP #CN #US
I'm pleased that our 1991 distillation technique (https://t.co/pIgIKfi4Uh) is mentioned in @JensenHuang's inaugural tweet #Distillation #Innovation #Tech辉煌 #Nospecificcountrycodesarementionedinthetweet.
"...the guys who are investing a thousand billion dollars into GPUs for data centers today, within the next five years, they are going to lose $900 billion" - just take a look at the vanishing free cash flows! It was fun talking about this to Jacob. #GPUs #DataCenters #Investing #Nospecificcountrycodescanbederivedfromthetweet.
Yann LeCun claimed on social media [7] that my foundational 1990 paper on Neural World Models [1] "was never accepted through peer review." This is simply false. The core concepts from the tech report [1] were peer-reviewed and published at international conferences right away: https://t.co/vVg15Qh05U #NeuralNetworks #PeerReview #AIResearch #Nospecificcountriesarementionedinthetweet.
A recent NYT article by @CadeMetz [1] claims that neural network distillation was first developed in 2015 by a team of Google researchers including G. Hinton [2]. Not true! I published the technique in 1991 [3]. [2] failed to cite [3]. See the overviews [4][6]. The NYT article #NeuralNetworks #AI #ResearchHistory #Thetweetdoesnotmentionanyspecificcountries #sotherearenocountrycodestoreturn.
Crazy asset inflation since 1916 when Rockefeller could have bought about 3% of all the gold ever mined for $1 billion: today, he'd need $1 trillion. (The amount of gold per person is still the same.) In 1916, $1B was ~ 3% of the total US equity market cap (today, $1T ~ 1.3%). #AssetInflation #GoldMarket #InvestmentInsights #US
It has been said that AI is the new oil, the new electricity, and the new internet. And the once nimble and highly profitable software companies (MSFT, GOOG, ...) became like utilities, investing in nuclear energy, among other things, to run AI data centres. Open Source and the https://t.co/BekBYoGqhK #AI #OpenSource #DataCenters #Therearenospecificcountriesmentionedinthetweetprovided.Therefore #theresponseisempty.
How 3 Turing awardees republished key methods and ideas whose creators they failed to credit. More than a dozen concrete AI priority disputes under https://t.co/NGotYZicWK https://t.co/BVZpX6aj10 #TuringAward #AIethics #CreditInResearch #Nospecificcountrycodesarementionedinthetweet.
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