https://www.europesays.com/uk/166865/ 1 Quantum Computing Stock That Has Crushed the S&P 500 Index This Year — Should Investors Jump Aboard or Run for the Hills? #ArtificialIntelligence #ClassicalComputers #ComplexProblems #Computing #ConventionalComputers #QuantumComputers #Technology #UK #UnitedKingdom
#complexproblems
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Sometimes, it's only at the end that we realize we're just scratching the surface. Here's why some meetings end in disappointment—or do they?
https://www.conferencesthatwork.com/index.php/facilitating-change/2022/06/scratching-the-surface
Sometimes, it's only at the end that we realize we're just scratching the surface. Here's why some meetings end in disappointment—or do they?
https://www.conferencesthatwork.com/index.php/facilitating-change/2022/06/scratching-the-surface
Sometimes, it's only at the end that we realize we're just scratching the surface. Here's why some meetings end in disappointment—or do they?
https://www.conferencesthatwork.com/index.php/facilitating-change/2022/06/scratching-the-surface
Continued thread
Another survey, conducted last year by the Benioff Homelessness and Housing Initiative at the University of California, San Francisco, found that 75 percent of homeless adults in California were local residents who had become homeless in the county where they had last been housed.”
The New York Times · Newsom Orders California Officials to Remove Homeless Encampments
Goldman Sachs: AI Is Overhyped, Wildly Expensive, and Unreliable
Link
Summary:Goldman Sachs, one of the largest investment banks in the world, published a research paper expressing doubts about the economic viability of generative AI. The paper notes that there is "little to show for" the huge spending on generative AI infrastructure and questions whether this spending will ever pay off in terms of AI benefits and returns. The paper suggests that AI optimism is driving large growth in stocks like Nvidia and other S&P 500 companies, but argues that the stock price gains are based on the assumption that generative AI will lead to higher productivity and efficiency. The paper also suggests that companies are acting like generative AI is going to change the world, but that the technology is currently deeply unreliable and may not change much of anything at all.
Key Points:- Goldman Sachs questions the economic viability of generative AI.
- The bank notes that there is "little to show for" the huge spending on generative AI infrastructure and wonders whether it will ever pay off.
- The paper is based on a series of interviews with Goldman Sachs economists and researchers, MIT professor Daron Acemoglu, and infrastructure experts.
- Goldman Sachs argues that AI optimism is driving large growth in stocks like Nvidia and other S&P 500 companies.
- The bank suggests that the stock price gains are based on the assumption that generative AI will lead to higher productivity and efficiency.
- The paper argues that generative AI is currently deeply unreliable and may not change much of anything at all.
- The bank expresses skepticism about both the cost of generative AI and its ultimate transformative potential.
Keywords:#GenerativeAI #EconomicViability #GoldmanSachs #Doubts #Unreliable #Hype #Expensive #Investment #S&P500 #Nvidia #Productivity #Automation #Efficiency #Bubbles #LongTermReturnForecastingFramework #Skepticism #Cost #TransformativePotential #Limitations #Architecture #ComplexProblems #Data #Training #Reddit #RedditData #Doubling #Limitations #Expense #VirtualReality #Metaverse #Blockchain #VentureCapital #AIIndustry #Revenue #ProcessingPower #InfrastructureCosts #DataBreaches #AT&T #Hackers #CallandTextMetadata #Customers #AT&TCustomers #Massive #Significant #DataBreaches
404 Media · Goldman Sachs: AI Is Overhyped, Wildly Expensive, and UnreliableOne of the world's largest investment banks wonders if generative AI will be worth the huge investment and hype: "will this large spend ever pay off?"
Sometimes, it's only at the end that we realize we're just scratching the surface. Here's why some meetings end in disappointment—or do they?
https://www.conferencesthatwork.com/index.php/facilitating-change/2022/06/scratching-the-surface
Sometimes, it's only at the end that we realize we're just scratching the surface. Here's why some meetings end in disappointment—or do they?
https://www.conferencesthatwork.com/index.php/facilitating-change/2022/06/scratching-the-surface
Sometimes, it's only at the end that we realize we're just scratching the surface. Here's why some meetings end in disappointment—or do they?
https://www.conferencesthatwork.com/index.php/facilitating-change/2022/06/scratching-the-surface
In 2016 I enjoyed an in-depth conversation w a few Facebook friends about solving #complexproblems.
I annotated that in this post on the #Tutor #Mentor blog. https://tutormentor.blogspot.com/2016/03/net-casting-complex-problems-connecting.html
Take a look!
» He tackled #complexProblems such as:
the evolution of #phenotypic plasticity,
the role of evolution in modulating interspecific interactions & extinction,
and the #evolutionary dimensions of #geneticDrive
..
His well-crafted papers are models of rigour and have true staying power
..
general theory of the interplay between demographic & genetic constraints in #evolution
..
formalize the #geographic #MosaicTheory of #coevolution «
Richard S. Gomulkiewicz
1962–2023
NatureRichard S. Gomulkiewicz (1962–2023) - Nature Ecology & EvolutionIncisive theoretical population geneticist.
A connection between a #QuantumComputer to #Europe’s fastest #supercomputer could help #researchers work out how to best pair quantum computers together with powerful supercomputers to solve #ComplexProblems faster. https://www.newscientist.com/article/2349980-europes-fastest-supercomputer-is-now-connected-to-a-quantum-computer/?utm_campaign=RSS%7CNSNS&utm_source=NSNS&utm_medium=RSS&utm_content=news #QuatumComputing #Computing #Science
New ScientistEurope’s fastest supercomputer is now connected to a quantum computer
@BrittanyRLeach you can see where you want to end up and some of the elements you will need to get there. Then all you have to do is build a pathway (with some detours) that leads from the start to the finish. #writing #complexproblems #multidisciplinaryanalyses #toomanyideas:)