🤖'Woke' AI - the new normal?

Reading time: 5 minutes  

Today we will discuss-

  • 🤐Meta AI mimics Google's problematic wokeness

  • 👨🏻‍🎨China to dupe OpenAI's Sora

  • 🤦🏻‍♂️Businesses unprepared for GenAI adoption, study finds

  • ⚙️9 amazing AI tools you might not have heard of

All this and more - Let's dive in!

👩‍🍳What’s cooking in the newsroom?

After Google, Meta's AI creates historically inaccurate images

☕News - Meta's AI image generator Imagine has been accused of creating historically inaccurate pictures, mirroring the recent controversy surrounding Google Gemini.

👨🏻‍🏫The lowdown - A recent report from Axios highlighted that Meta's Imagine generated outcomes comparable to Google Gemini. For instance, when prompted with "Founding Fathers," it depicted a diverse group, and a request for "A group of people in American colonial times" returned an image of solely Asian women.

😅Quick save? According to Axios' report, Meta's AI image generator was still churning out images akin to those that got Google in hot water as late as Friday afternoon. Seems like Meta's AI is just as "woke" as Google's. 

But, credit where it's due—they acted fast! By Monday morning, the results for the same prompts weren't as historically off-base. 

Here, take a look and judge for yourself.

Chinese researchers aim to create their own version of OpenAI's Sora 

👾News - A group of researchers are working to develop China's own version of OpenAI's text-to-video model, Sora, as part of the country's latest GenAI push.

The team includes professors from Peking University in China and experts from the Shenzhen-based AI company Rabbitpre. They launched the Open-Sora plan on 1 March, with the mission to replicate OpenAI's video generation model, as outlined on their GitHub page.

🤓What are they planning? The team aims to create a more simple and scalable version of OpenAI's video generation model, with contributions from the open-source community. 

As detailed on the project's GitHub page, the team has devised a three-part framework and presented four demonstrations of reconstructed videos, varying in resolution and aspect ratio, spanning from three to 24 seconds in duration. 

Furthermore, they plan to refine the technology for higher resolution output, along with expanding training data and employing additional graphics processing units (GPUs).

😥An uphill battle? While some companies are interested in using the text-to-video AI model, others doubt China's ability to compete due to the US tightening trade restrictions on exporting advanced chips and related technology.

MITTR study highlights barriers to rapid GenAI adoption in businesses

👨🏻‍💼News - According to a global study conducted by MIT Technology Review Insights (MITTR), while many businesses aspire to leverage generative AI to disrupt their industries, only a minority feel sufficiently equipped in terms of technology, funding, culture, and skills to support its rapid adoption.

💼Key findings - 

  • In 2023, the majority of surveyed companies (76%) had experimented with generative AI in various capacities, but only a small fraction (9%) had fully implemented the technology across their operations.

  • Less than 30% of respondents rated the IT attributes at their companies as helpful for the rapid adoption of generative AI.

  • Additionally, those with the most experience in deploying generative AI had even less confidence in their IT infrastructure. Many in this group (65%) indicated that their available hardware was, at best, modestly helpful for rapid adoption.

  • Respondents, both in general and AI early adopters, also reported non-IT challenges to the extensive use of generative AI. Regarding risk, 77% of respondents cited their regulatory, compliance, and data privacy environment as a leading barrier to rapid AI adoption. Furthermore, 56% listed IT investment budgets as a leading barrier.

🙆🏻‍♀️What else is happening?

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👩🏼‍🚒Discover mind-blowing AI tools

  1. Decode Investing - A platform that allows users to read, analyze, and review earnings calls with the help of an AI ($12.99/month)

  2.  Lazyeyefix - A photo editing tool designed to fix lazy eye in pictures (Free)

  3. Edit At Scale - A batch editor for product photos that helps e-commerce businesses to enhance multiple images at once (Free)

  4. Boords - A storyboard generator that allows users to create professional storyboards without the need for drawing skills ($25/month)

  5. SmiliMedia - A tool that allows content creators to quickly generate viral clips from their YouTube videos or local files ($18.90/month)

  6. Teno Chat - An intelligent Discord bot designed to join voice channels, listen, and transcribe meetings (Free)

  7. Pezzo AI - An open-source platform that allows users to build, test, monitor, and deploy AI models efficiently (Free)

  8. Rask.ai - An AI-powered tool that provides automated voiceover, captions, and translation services for videos ($50/month)

  9. Kamoto.AI - An intuitive platform that allows users to create, train, and monetize AI characters and personalities (Free, $49/month) 

💰Most expensive piece of AI art

Edmond de Belamy

The portrait “Edmond de Belamy” sold for US $432,500 at Christie’s auction house in New York City. It was created by a Paris-based art collective called Obvious using a type of AI called a Generative Adversarial Network (GAN).

The image features a man with a slightly out-of-focus face and a blob for a mouth. He is dressed in what seems to be a dark frock coat over a white-collared shirt. The overall style of the portrait is reminiscent of 18th-century portraiture, but the details are blurred and distorted.

Does the portrait look worth US $432,500 to you?

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