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Plus Musicians Rise Up Against AI Music

Resolving AI Impersonation: George Carlin Estate’s Legal Victory

The estate of George Carlin settled a lawsuit against a podcast for creating an AI-generated special mimicking the late comedian. The creators agreed to remove the content and refrain from using Carlin’s image or voice, underscoring the need for safeguards against AI’s misuse in entertainment. This case highlights ongoing concerns about AI technology and intellectual property rights, urging legislative action for digital replicas’ consent and platform accountability.

Musicians Stand Against AI in Music

Billie Eilish, Nicki Minaj, Jon Bon Jovi, and other renowned musicians have united against the use of artificial intelligence in music creation. In an open letter by the Artist Rights Alliance, they express concerns over AI’s potential privacy invasion, unauthorized use of their identities, and exploitation of their music to train AI models. They urge AI developers and technology companies to respect artists’ rights and ensure fair compensation, emphasizing that AI should not replace human creativity. This action is part of a broader movement to safeguard artists’ rights in the evolving digital landscape.

AI Music’s Creative Limits

Stability AI’s latest release, Stable Audio 2.0, allows users to craft three-minute-long AI-generated songs, stepping up from its predecessor’s 90-second clips. Despite this advancement, the music it produces won’t be topping charts anytime soon. While the new version promises song-like structures, the results often feel soulless, sometimes even bizarre, likened to “whale sounds” by some. Users can now inject personal touches by modifying prompt strength or adding sound effects, yet the AI’s attempt at vocals suggests there’s much room for improvement. As AI-generated music evolves, it challenges the essence of creativity, struggling to capture the soul that defines truly impactful art.

TV Ads Sync with Your Emotions Thanks to AI

Legacy TV is turning to AI to keep up with streaming giants like Netflix and Amazon Prime. This AI tech reads the emotional tone of TV shows and movies, then matches ads that vibe with the moment, enhancing the connection between viewers and commercials. For example, after an emotional scene, an ad related to the scene’s theme might play, creating a more targeted advertising experience. NBCUniversal and Disney are leading this trend, using AI to categorize audiences and align ads with viewers’ preferences, aiming to offer precision in advertising akin to digital giants like Google and Meta. This move could give traditional TV an edge by offering more relevant ad placements, though it’s still a battle to win back ad dollars from digital and streaming platforms.

Desigual’s AI-Driven Sustainable Fashion

Desigual introduces its third AI-designed, on-demand collection for s/s 2024, focusing on sustainability by producing items only after purchase. This initiative, part of Desigual’s transformation, is aimed at reducing stock levels and carbon footprint, contributing to a 62% reduction already. The collection, embraced in several European countries and Japan, merges 40 years of Desigual’s heritage with modern innovation, appealing to new generations and reinforcing the brand’s commitment to environmental responsibility.

Apple’s AI Leap: ReaLM Sees and Understands Better

Apple’s new AI, ReaLM (“Reference Resolution As Language Modeling”), is setting a new standard for conversational AI by understanding on-screen content and context. Unlike other systems, ReaLM can interpret ambiguous references and images within conversations, making it possible for virtual assistants like Siri to respond more naturally. Apple claims ReaLM outperforms OpenAI’s GPT-4 in context understanding and operates on-device, offering a significant advantage in performance without the need for external resources. This development could signal Apple’s stronger entry into the competitive AI field, with promises of more to come later this year.

AI’s Data Dilemma: Searching Beyond the Internet

AI companies are hitting a wall as they run out of open internet data to train their increasingly advanced large language models (LLMs). The quest for more sophisticated AI has led to nearly all accessible online information being used up, pushing firms towards potentially problematic solutions like AI-generated “synthetic data.” This method raises concerns about AI “hallucinations” and a cycle of digital “inbreeding” that could undermine model reliability. Efforts to innovate with less data are underway, but the challenge remains: continue the race for larger models or reconsider the approach due to environmental and sustainability concerns.

AI Revolution in Customer Support

AI is transforming customer support from traditional call centers to dynamic contact centers with multiple communication channels like email, social media, and chatbots. Michele Carlson from NICE highlights that AI is crucial for handling vast data streams and personalizing customer experiences. AI-driven solutions like sentiment analysis and automated note-taking enhance efficiency and employee satisfaction by allowing agents to focus on customer needs. Purpose-built AI tools are essential, and choosing the right AI solutions aligned with organizational goals can optimize customer experiences and operational efficiency.




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