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A newly discovered data wiper malware that wipes routers and modems has been deployed in the cyberattack that targeted the KA-SAT satellite broadband service to wipe SATCOM modems on February 24, affecting thousands in Ukraine and tens of thousands more across Europe.

The malware, dubbed AcidRain by researchers at SentinelOne, is designed to brute-force device file names and wipe every file it can find, making it easy to redeploy in future attacks.

SentinelOne says this might hint at the attackers’ lack of familiarity with the targeted devices’ filesystem and firmware or their intent to develop a reusable tool.

Neural networks keep getting larger and more energy-intensive. As a result, the future of AI depends on making AI run more efficiently and on smaller devices.

That’s why it’s alarming that progress is slowing on making AI more efficient.

The most resource-intensive aspect of AI is data transfer. Transferring data often takes more time and power than actually computing with it. To tackle this, popular approaches today include reducing the distance that data needs to travel and the data size. There is a limit to how small we can make chips, so minimizing distance can only do so much. Similarly, reducing data precision works to a point but then starts to hurt performance.

Artificial Intelligence has been improving rapidly these past few years, and it’s now becoming obvious according to the top AI Scientists such as Yann LeCun that AI in 2030 will be almost unrecognizable compared to ones right now. They will be part of everyday lifes in the form of digital assistants and more. What other awesome abilities the best AI of the future will have, I’ll show you in this future predictions video.

TIMESTAMPS:
00:00 The first Human-Level AI
01:34 What are SSL World Models?
02:26 What is Self Supervised Learning?
05:24 Learning like Humans.
09:14 The Implications of Human AI
10:57 Last Words.

#ai #agi #technology