If this is a collection of failed privacy issues, what chance does it have of passing?

https://www.cpomagazine.com/data-privacy/new-us-privacy-bill-focuses-on-ending-domestic-government-surveillance-overreach-at-all-levels/

New US Privacy Bill Focuses On Ending Domestic Government Surveillance Overreach At All Levels

Drawing on terms first proposed in a series of stalled-out data privacy bills that date back to at least 2018, the Government Surveillance Reform Act of 2023 (GSRA) narrows the focus specifically to warrantless government interception at all levels from federal to local.

The main thrust of the bill is to establish warrant requirements for some ongoing forms of data access that do not presently require them, but the GSRA would also put an end to “zombie” elements of the now-defunct Patriot Act and would address law enforcement use of private data broker files.

Was this a test? Or is Russia angry with Denmark for some reason?

https://www.databreaches.net/denmark-hit-with-largest-cyberattack-on-record/

Denmark Hit With Largest Cyberattack on Record

Chris Riotta reports:

Hackers potentially linked to the Russian GRU Main Intelligence Directorate carried out a series of highly coordinated cyberattacks targeting Danish critical infrastructure in the nation’s largest cyber incident on record, according to a new report.

SektorCERT, a nonprofit cybersecurity center for critical sectors in Denmark, reported that attackers gained access to the systems of 22 companies overseeing various components of Danish energy infrastructure in May. The report published Sunday says hackers exploited zero-day vulnerabilities in Zyxel firewalls, which many Danish critical infrastructure operators use to protect their networks.

Read more at Bank InfoSecurity.

Perspective.

https://www.bespacific.com/generative-ai-and-libraries-7-contexts/

Generative AI and libraries: 7 contexts

LorcanDempsey.net: “Libraries are engaging with AI in their educational, service and policy work. This post discusses seven contexts in which that work is taking place. This is the third of four posts on Generative AI:

1. Generative AI and large language models: background and contexts

2. Generative AI, scholarly and cultural language models, and the return of content

3. Generative AI and libraries: 7 contexts

4. Generative AI and library services: some directions

It is now a year since the momentous appearance of ChatGPT. So much has happened in that time. Whether one measures by new product and feature announcements, business churn (investment, startups), or policy, safety and ethical debate. Usage is increasingly integrated into daily applications. Much of this has become routine, some of it is tedious, and much still has the ability to surprise. Capacities continue to expand. See the recent inclusion of voice and image capabilities into ChatGPT for example, or the introduction of the confusingly named GPTs, which allow you to create and share custom versions of ChatGPT based on your own data (more below and NYT coverage here).,,”