🔊 ... Dystopian nightmare in China prevents people from buying food.
The combination of Digital ID and social credit scores is used to deny people the ability to do even the most basic shopping.
If we let them remove cash from the system and force us into a pure CBDC, Digital ID system, then this will become commonplace. Do you really want this level of tracking in your life? We must retrain other payment options for privacy.
GARTNER'S TOP 10 STRATEGIC PREDICTIONS 2024-2028:
1. By 2027, the productivity value of AI will be recognized as a primary economic indicator of national power.
2: By 2027, GenAI tools will be used to explain legacy business applications and create appropriate replacements, reducing modernization costs by 70%.
3. By 2028, enterprise spending on battling mal-information will surpass $30 billion, cannibalizing 10% of marketing and cybersecurity budgets to combat a multifront threat.
4. By 2027, 45% of chief information security officers (CISOs) will expand their remit beyond cybersecurity, due to increasing regulatory pressure and attack surface expansion.
5. By 2028, the rate of unionization among knowledge workers will increase by 1,000%, motivated by the adoption of GenAI.
6. In 2026, 30% of workers will leverage digital charisma filters to achieve previously unattainable advances in their careers.
7. By 2027, 25% of Fortune 500 companies will actively recruit neurodivergent talent across conditions like autism, ADHD, and dyslexia to improve business performance.
8. By 2028, there will be more smart robots than frontline workers in manufacturing, retail, and logistics due to labor shortages.
9. By 2026, 50% of G20 members will experience monthly electricity rationing, turning energy-aware operations into either a competitive advantage or a major failure risk.
10. By 2026, generative AI will significantly alter 70% of the design and development effort for new web applications and mobile apps.
TOP 10 STRATEGIC TECH TRENDS 2024:
1 AI Trust, Risk, Security Management
2 Continuous Threat Exposure Management
3 Sustainable Technology
4 Platform Engineering
5 AI-Augmented Development
6 Industry Cloud Platforms
7 Intelligent Applications
8 Democratized Generative AI
9 Augmented Connected Workforce
10 Machine Customers
@ZDNET https://t.co/juAtZ7a5NO
Rząd PiS, który szczyci się dbałością o potrzeby Polaków, ustawą o fundacji rodzinnej stworzył podwaliny dla nowej polskiej oligarchii. https://t.co/a9L5aCsC6Q
I found more detailed breakdowns of graduate student abilities by field!
I see the results for History of Science, Finance, and Comparative Literature as the most surprising.
Episode #186 just released.
Are we heading for a digital prison? (Foucault, Bentham, Cave)
Today we talk about Jeremy Bentham's concept of the Panopticon. Michel Foucault's comparison to society in 1975. The historical role of intelligence as a justification for dominance. The anatomy of free will, and how a digital world may systematically limit our free will without us knowing it.
Thanks for sharing what you love.
Hope all of you are doing well!
https://t.co/jycYfAbaEq
https://t.co/SdsYJgMhj5
"I almost think you'd scare the public.
If you put this out, like why are they telling me this?
Should I be concerned about my bank?
...I would be careful about the unintended consequences of starting to blast too much of this out in the general public."
— FDIC, Nov 9 2022
@PatrykOsak @rafal_zaorski Będąc ścisłym „Czarny labadz” to zjawisko, którego nie jest w stanie przewidzieć podmiot podejmujący decyzje z braku wystarczających informacji. Np. dla niektórych inwazja z lutego była czarnym łabędziem. Są tez przypadki gdzie informacja nie jest dostępna, choć istnieje…
The old regime at Twitter governed by its own whims and biases and it sure looks like the new regime has the same problem. I oppose it in both cases. And I think those journalists who were reporting on a story of public importance should be reinstated.
@PBPaszportu Podcast zazwyczaj można odkryć dzięki
1. Tematowi który się śledzi (algo rękom. )
2. Os. która die śledzi (algo rękom. )
3. Rekomendacji znajomych (temat, gość)
4. Autor podcastu A gości w podcaście B
5. Random…
U mnie to był nr. 1