Why Southeast Asia is Drifting Away from Washington

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The geopolitical landscape of Southeast Asia is undergoing a tectonic shift. For decades, the United States was viewed as the indispensable powerthe security guarantor that allowed the region’s tiger economies to flourish. However, recent events, culminating in the devastating economic fallout of the Iran war, have accelerated a trend that many in Washington failed to see coming: Southeast Asia is increasingly looking toward Beijing, not out of ideological love, but out of pragmatic necessity. This shift is not merely a preference for one superpower over another; it is a profound vote of no confidence in the predictability and reliability of Western leadership. The Credibility Gap: From Trade Wars to Kinetic Wars The erosion of trust didn't happen overnight. It began with a series of inconsistent trade policies and sudden tariffs that left regional exportersfrom Malaysia to Vietnamreeling. When global leadership feels like a moving target, Southeast Asian nations, which prioritize...

Detecting Deep Fakes, Identification Methods, and More




Singapore has chosen to put out a bill that would forbid deepfakes of political candidates while they are running for office and until the polls are concluded, in response to mounting concerns around the world.

Determining whether content on the internet is authentic or fraudulent has become more challenging due to the proliferation of digitally altered content that mimics the appearance or voice of others.

Deepfakes have been employed in con games involving politicians, including US President Joe Biden, the Prime Ministers of Singapore in the past and present, and famous people like Taylor Swift. Pornographic content has also been produced using Deepfake, degrading the internet community. Ninety percent of deepfake films contain pornographic material.

The following are the methods that Ms. Ong Si Ci, a key engineer in AI and machine learning, has deconstructed to identify deepfake video or photo content.

The following are common indicators of deepfake content, per Ms. Ong's observations:
    Excessive blending or unevenness surrounding the borders of faces.
        uneven skin tone or illumination in the area in comparison to other facial areas or the environment.
    The audio and visual components must be properly synced.
    Unnatural or boring speech patterns can occur in speeches.
    Yet as the time has evolved, the signs of identifying deep fakes have increasingly become difficult to         spot, as online tools get better and more powerful at generating realistic deep fakes.


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