It is always difficult to sort through claims and counterclaims to determine the truth. In this case it seems interesting that no Russian diplomats were compromised, just “foreign diplomats based in Russia.”
Russia says US hacked thousands of Apple phones in spy plot
Russia's Federal Security Service (FSB) said on Thursday it had uncovered an American espionage operation that compromised thousands of iPhones using sophisticated surveillance software.
… The FSB, the main successor to the Soviet-era KGB, said in a statement that several thousand Apple Inc devices had been infected, including those of domestic Russian subscribers as well as foreign diplomats based in Russia and the former Soviet Union.
… In a statement, Apple denied the allegation. "We have never worked with any government to insert a backdoor into any Apple product and never will," the firm said in a statement.
… In a blog post, Kaspersky said the oldest traces of infection it discovered dated back to 2019. "As of the time of writing in June 2023, the attack is ongoing," the company said. It added that while its staff was hit, "we are quite confident that Kaspersky was not the main target of this cyberattack."
Is there any benefit in keeping the use of ChatGPT secret?
https://www.bespacific.com/when-do-your-employees-need-to-disclose-their-use-of-chatgpt/
When do your employees need to disclose their use of ChatGPT?
HR Brew: “…As ChatGPT and other generative AI technologies provide a helping hand to employees, HR teams are grappling with policies regarding its use, including disclosure. Some companies have banned or restricted employees from the tech. Others are embracing the possibilities the tech can offer to employee productivity and see it as a tool to boost productivity. As HR teams develop company policies governing generative AI use, they need to consider whether employees need to come clean about the assist. “Over the next couple years, I think every single organization in every industry is going to have to come to a crossroads as to how their organization is really going to standardize…the use of generative AI…depending on the type of work they do for their clients,” Christie Lindor, Bentley University professor and CEO of DE&I firm Tessi Consulting, said. “One of the biggest questions is around, ‘Should I disclose or not disclose?’” Lindor helps companies assess AI use, making sure it’s aligned with their DE&I strategies, and she said how she advises companies on disclosure is “industry dependent.”
Study history!
https://www.omfif.org/2023/06/the-macroeconomics-of-artificial-intelligence/
The macroeconomics of artificial intelligence
… Although the technology itself is wholly new, the macroeconomic challenges associated with AI are not. History provides ample evidence that, while AI is unlikely to spur joblessness or mass unemployment, the likelihood of rising inequality is high. And this brings with it a host of monetary and macroeconomic considerations that will impact economists and central banks alike.
What are the macroeconomics of AI?
A common starting place for economists is to study previous technological revolutions – most notably the industrial revolution and the early 20th century technological transformation (railroads and glassware, for example). Both of these periods coincided with significant growth in labour productivity. Both boosted growth and quality of life for subsequent generations. And both of these moments were replete with contemporary discourse that fretted about the ‘end of work’ and the prospect of widespread unemployment at the hands of new machines.
We now know that previous major technological revolutions did not induce mass unemployment. And so, it often becomes tempting for economists to dismiss such technophobic angst as having been completely misguided. Efficiency gains allowed households to save money due to the lower costs that emerged from more efficient industries (agriculture, for example), which led to the creation of new occupations.
There is currently no evidence to suggest that the economics of AI are substantively different from those of previous technologies. AI promises to greatly expand the scope of what occupations can be made ‘digital’, which may boost productivity and encourage a reallocation of labour towards new industries or occupations, which are best performed by humans. It marks an extension of existing trends in digitalisation – present since the 1980s – as opposed to something entirely distinct.
Read, ruminate, relax.
Top AI researcher dismisses AI ‘extinction’ fears, challenges ‘hero scientist’ narrative
Kyunghyun Cho, a prominent AI researcher and an associate professor at New York University, has expressed frustration with the current discourse around AI risk. While luminaries like Geoffrey Hinton and Yoshua Bengio have recently warned of potential existential threats from the future development of artificial general intelligence (AGI) and called for regulation or a moratorium on research, Cho believes these “doomer” narratives are distracting from the real issues, both positive and negative, posed by today’s AI.
In a recent interview with VentureBeat, Cho — who is highly regarded for his foundational work on neural machine translation, which helped lead to the development of the Transformer architecture that ChatGPT is based on — expressed disappointment about the lack of concrete proposals at the recent Senate hearings related to regulating AI’s current harms, as well as a lack of discussion on how to boost beneficial uses of AI.
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