Meta, Google and startups flock to the economic potential of AI art


The trend: Big Tech is funneling investment into art-producing generative AI.

  • Building on his past Make a scene Generator, Metathe AI ​​division of has unveiled its Make a video tool that can create short video clips from text prompts, by popular science.
  • Google announced its own text-to-video converter program, Imagen Videowhich the company combines with its other text-to-video conversion system, Phenakito get longer videos from longer written prompts, by Tech Crunch.
  • The tools are part of a larger movement among tech organizations releasing art-creating AI programs that began with the first text-to-image generator, SLABin 2021.
  • Several startups are applying the technology to other forms of content creation, such as music and podcasts.
  • In addition to art-generating programs, tech companies are using generative AI to build chatbots who can converse with originality.

Analyst Opinion: “There’s a lot of interesting generative stuff going on right now in this so-called ‘second wave’ of AI,” said Jessica Lys, technical analyst at Insider Intelligence. “While this may seem sudden, it is the result of incremental progress over the past few years.

“We’re seeing a lot of product announcements from startups and incumbents, but there are still a lot of questions to answer about ethical use.”

A lifeline for income: The tech industry may be on the back burner moon projects and deep technology amid the economic downturn, but it remains focused on commercializing AI.

  • Unlike other deep technologies, AI is already delivering tangible results for industries with significant room for growth in terms of innovation, new applications, and revenue potential.
  • Cloud computing providers and developers of advanced GPU processors are likely to be the two main beneficiaries. because generative AI programs require a lot of computing power and data.
  • Capital Sequoia waits generative AI to “generate trillions of dollars of economic value”.

While many AI programs are used for data analysis, generative AI brings new things to light.

  • This gives struggling tech companies more ways to deliver value to their customers.
  • Beyond simply providing data and information, generative AI programs could generate potentially lucrative content creation mechanisms for The advertisement and other sectors.

More money, more problems: Generative AI opens up much-needed revenue streams for struggling tech companies, but expect ethical and legal liability issues on top of the profits.

  • We are already seeing hints of this in the stock photo industry with Getty Images and Shutterstock prohibit the use of AI-generated images on copyright issues.
  • AI Production Reports problematic content could amplify concerns about generative adversarial networks (GANs) – the basis of generative AI – triggering a Existential crisis for the society.
  • With the proliferation of cloud computing data centers already suck up resources and fueling carbon emissions, large-scale adoption of generative AI programs by businesses and consumers could become a pitfall for sustainability.

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