Interesting…
https://moderndiplomacy.eu/2023/07/30/ai-and-the-new-world-order-economy-and-war-2/
AI and the new world order: Economy and war (2)
… As early as 1989 Paul Kennedy argued – in his book The Rise and Fall of Great Powers. Economic Change and Military Conflict from 1500 to 2000 – that in the long run there was an obvious link between the economic rise and fall of every great world power. In June 2017 Pricewaterhouse Coopers published Seize the Opportunity. 2017 Summer Davos Forum Report predicting that by 2030 the AI contribution to the world economy would reach 15.7 trillion US dollars and that the People’s Republic of China and North America were expected to become the largest beneficiaries, totalling 10.7 trillion US dollars.
In September 2018 the report Frontier Notes: Using Models to Analyse the Impact of Artificial Intelligence on the World Economy, published by the McKinsey Global Institute, estimated that Artificial Intelligence would significantly improve overall global productivity. Excluding the impact of competition and transformation cost factors, Artificial Intelligence could contribute an additional 13 trillion US dollars to global GDP growth by 2030, with an average annual GDP growth of around 1.2 per cent.
Just a bit more direct than we use in the US.
Putin Outlaws Anonymity: Identity Verification For Online Services, VPN Bypass Advice a Crime
Andy Maxwell writes:
[…]
Registering on Russian internet platforms using foreign email systems such as Gmail or Apple will soon be prohibited. That’s just a prelude to further restrictions coming into force in the weeks before Christmas 2023.
No Anonymity, No Privacy
Starting December, Russian online platforms will be required by law to verify the identities of new users before providing access to services. That won’t be a simple case of sending a confirmation link to a Russian-operated email account either.
Platforms will only be authorized to provide services to users who are able to prove exactly who they are through the use of government-approved verification mechanisms.
Read more at TorrentFreak.
Worth thinking about?
https://www.bespacific.com/justice-in-a-generative-ai-world/
Justice in a Generative AI World
Grossman, Maura and Grimm, Paul and Brown, Dan and Xu, Molly, The GPTJudge: Justice in a Generative AI World (May 23, 2023). Duke Law & Technology Review, Vol. 23, No. 1, 2023, Duke Law School Public Law & Legal Theory Series No. 2023-30, Available at SSRN: https://ssrn.com/abstract=4460184
“Generative AI (“GenAI”) systems such as ChatGPT recently have developed to the point where they are capable of producing computer-generated text and images that are difficult to differentiate from human-generated text and images. Similarly, evidentiary materials such as documents, videos and audio recordings that are AI-generated are becoming increasingly difficult to differentiate from those that are not AI-generated. These technological advancements present significant challenges to parties, their counsel, and the courts in determining whether evidence is authentic or fake. Moreover, the explosive proliferation and use of GenAI applications raises concerns about whether litigation costs will dramatically increase as parties are forced to hire forensic experts to address AI- generated evidence, the ability of juries to discern authentic from fake evidence, and whether GenAI will overwhelm the courts with AI-generated lawsuits, whether vexatious or otherwise. GenAI systems have the potential to challenge existing substantive intellectual property (“IP”) law by producing content that is machine, not human, generated, but that also relies on human-generated content in potentially infringing ways. Finally, GenAI threatens to alter the way in which lawyers litigate and judges decide cases. This article discusses these issues, and offers a comprehensive, yet understandable, explanation of what GenAI is and how it functions. It explores evidentiary issues that must be addressed by the bench and bar to determine whether actual or asserted (i.e., deepfake) GenAI output should be admitted as evidence in civil and criminal trials. Importantly, it offers practical, step-by- step recommendations for courts and attorneys to follow in meeting the evidentiary challenges posed by GenAI. Finally, it highlights additional impacts that GenAI evidence may have on the development of substantive IP law, and its potential impact on what the future may hold for litigating cases in a GenAI world.”
What the CEO doesn’t know... (He should at least suspect?)
CheatGPT
The hidden wave of employees using AI on the sly
For the most part, Blake doesn't mind his job as a customer-benefits advisor at an insurance company. But there's one task he's always found tedious: scrambling to find the right medical codes when customers call to file a claim. Blake is evaluated in part on the amount of time he spends on intake calls — the less, the better — and the code-searching typically takes him two or three minutes out of a 12-minute call.
Then he discovered that Bing Chat, Microsoft's AI bot, could find the codes in mere seconds. At a call center, a productivity gain of 25% or more is huge — the kind that, if you told your boss about it, would win you major accolades, or maybe even a raise. Yet Blake has kept his discovery a secret. He hasn't told a soul about it, not even his coworkers. And he's kept right on using Bing to do his job even after his company issued a policy barring the staff from using AI. Bing is his secret weapon in a competitive environment — and he isn't about to give it up.
"My average handle time is one of the lowest in the company because I'm leveraging AI to accelerate my work behind their back," says Blake, who asked me not to use his real name. "I'm totally going to take advantage of it. This is part of a larger way of making my life more efficient."
Since ChatGPT came out last November, employees in corporate America have responded in a variety of ways. Some have fought back against the use of AI, worried about their job security. Others are waiting for their companies to train them in how to use the new technology. And then there are employees like Blake — early adopters who are quietly using AI to do their jobs faster and better, even if it means violating company policy. Call it CheatGPT — a move that gives employees who are willing to bend or even break the rules a hidden advantage over their tech-averse coworkers.
You will need to think about this, but some concepts become clear.
A jargon-free explanation of how AI large language models work
… The goal of this article is to make a lot of this knowledge accessible to a broad audience. We’ll aim to explain what’s known about the inner workings of these models without resorting to technical jargon or advanced math.
Resources
https://cointelegraph.com/news/7-youtube-channels-to-learn-machine-learning
7 YouTube channels to learn machine learning
… This article will explore seven top YouTube channels that offer high-quality content to help you grasp the fundamentals and advance your machine-learning expertise.
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