Political Play of AI is Soaring!

More AI news from Apple, Google and Elon Musk!

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Welcome back, folks.

Recently, President Biden’s voice was cloned and used in a robocall to New Hampshire voters.

AI is increasingly being used in politics to represent, or misrepresent, the opinions of historical and current figures.

 Today in the “Incredible AI” world: 

  • AI’s Role in Modern Political Campaigns

  • Google’s Complex AI Strategy

  • Where to Learn AI

  • Best AI Tools of the Day

  • Apple Working on New AI Products

  • Google Apologizes for Gemini’s Fault

  • More AI & Tech News

Read Time: 4 minutes


Artificial Intelligence (AI) is revolutionizing the way elections are conducted, with innovative applications ranging from generative AI avatars to deepfake endorsements and sentiment-tracking chatbots.

Things to Know:

  • AI Avatars: AI is being used to create cartoon avatars of candidates, offering a novel approach to political representation.

  • Deepfake Endorsements: Deepfakes are being used to issue political endorsements, even from individuals who have passed away, adding a new dimension to political campaigns.

  • Sentiment-Tracking Chatbots: Chatbots are being employed to write stump speeches based on sentiment analysis, providing a more tailored approach to voter engagement.

With almost half the world’s population eligible to vote in elections this year, AI companies are racing to keep up. The use of AI in political campaigns is not only innovative but also a game-changer, leveling the playing field for candidates.

Google’s recent approach to its artificial intelligence (AI) strategy has left many users bewildered, with a flurry of new offerings and rapid rebranding causing confusion.

Things to Know:

  • Product Overload: Google has been unveiling a multitude of AI offerings in recent weeks. This rapid introduction of new products has left users struggling to keep pace, as they try to understand the purpose and functionality of each new offering.

  • Naming Chaos: Adding to the confusion is Google’s approach to naming its AI models. The frequent rebranding and launch of new products have resulted in a chaotic landscape where users find it difficult to distinguish between different versions of AI models.

  • Public Trust at Risk: This chaotic approach to AI strategy is not just causing confusion among users, but also threatens to undermine public trust. If users cannot understand or keep up with Google’s AI offerings, they may lose faith in the company’s ability to deliver reliable and user-friendly AI solutions.

Google’s hasty and disorganized approach to AI strategy has resulted in a confusing landscape for users. Google must simplify its approach and communicate more effectively to regain user confidence.


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Apple is exploring new concepts for its wearable devices, such as smart glasses and AirPods with cameras, according to a report by Bloomberg. These ideas are not yet confirmed products, but they show how Apple is thinking about the future of spatial computing.

Things to Know:

  • Smart glasses: Apple is reportedly working on a pair of smart glasses that would use AI to overlay information and graphics on the user’s view of the real world. The glasses would also have eye-tracking and gesture-recognition features and could connect to an iPhone or a smart ring.

  • AirPods with cameras: Another concept that Apple is allegedly experimenting with is adding cameras to its AirPods. These cameras could capture images and videos from the user’s perspective and also enable augmented reality applications.

  • Smart ring: Apple is also said to be developing a smart ring that would act as a controller for the smart glasses and other devices. The ring would have sensors and haptic feedback and could be used to perform actions like scrolling, zooming, or selecting items on the glasses’ display.

Apple is not the only company that is interested in wearable devices that can create spatial computing experiences. Facebook, Google, Microsoft, and others are also working on similar projects.

Apple is known for its innovation and design, and it could potentially create a breakthrough device that would redefine the wearable market.

Google has issued an apology and an explanation for the controversial and inaccurate images generated by its Gemini AI model. Gemini can create images based on text prompts, but some of its results have been criticized for being biased, wrong, or offensive.

Things to Know:

  • What went wrong: Gemini’s image generation tool was designed to reflect Google’s global user base and avoid bias or underrepresentation. However, this led to some historical or cultural contexts being ignored or distorted. For example, Gemini produced images of diverse Nazis, non-white popes, and erased white people from some countries.

  • Google’s Response: Google said it was aware of the problem and working to fix it immediately. It also apologized for the “embarrassing and wrong” images and said it took representation and bias seriously.

Gemini’s image generation tool is powered by Google’s Imagen 2, which is not as well-known or established as other AI models such as DALL-E and Midjourney.

This incident shows the challenges and risks of creating AI systems that can generate realistic and diverse images from text. It also raises questions about the ethics and responsibility of AI developers and users.


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