🔎 What’s good today:

• 💻How to create those stunning QR codes that we can see all around now?

• 👀 What do people think of AI?

• 💬 ChatGPT to extract insights

• 🙈 Speaking with animals using AI?

• 👩‍🏫 Robots that will attend the global UN summit.

🔥Easily create stunning AI-generated QR codes

Gone are the days of plain and unremarkable QR codes, as AI is now enabling us to generate visually stunning codes adorned with captivating artwork. Just a few weeks ago, achieving this level of creativity and customization required complex calibration and a lengthy list of actions. However, thanks to the rapid progress of AI, we now have accessible tools that make this process a breeze.

Traditionally, generating QR codes involved using stable diffusion or other models, alongside intricate calibration techniques. The intricacies of the process meant that only a select few had the skills and resources to create visually appealing QR codes with artistic elements. But now, as in everything with AI, in just a matter of weeks, we have witnessed the emergence of user-friendly tools like StockIMG that empower anyone to create aesthetically pleasing QR codes effortlessly.
Simply open the application, write or copy a prompt, paste your link and generate stunning AI - generated QR codes like the ones below!

This progress highlights the incredible speed at which AI is advancing, transforming complex tasks into accessible solutions. By harnessing AI's capabilities, we can not only enhance the visual appeal of QR codes but also explore new possibilities for branding, advertising, and creative expression. It's a testament to the power of innovation and how AI continues to shape and redefine our technological landscape.

🤓What do people think of AI?

what are people's perceptions of the progress in AI? With assistance, The Verge conducted a survey of 2,000 individuals, providing some intriguing insights.

1/ AI adoption skews towards younger generations

Millennials and Gen Z comprise the majority of AI users, which is unsurprising given their representation in the American workforce. It aligns with the demographic patterns.

Interestingly, only a small percentage of respondents were familiar with Stable Diffusion or MidJourney. Merely 25% knew about MidJourney, while 23% were aware of Stable Diffusion.

2/ Bard's recognition lagged

Similarly, only 38% of participants were familiar with Bard. How this occurred is quite puzzling.

Considering that Google possesses a leading AI research lab and developed the model upon which other conversational AI systems are built, their late entry affected their market potential. The explanation seems clear-cut.

3/ AI serves as an information tool

Most individuals employ AI for question answering and brainstorming purposes, with the latter being understandable.

However, relying solely on AI for answers is not advisable. The chatbot may generate incorrect or partially inaccurate responses. It's essential to remember that AI is not an encyclopedia.

4/ Demands for improved AI safety and regulation

A significant portion of the surveyed group believes that regulatory bodies should oversee AI development and label AI outputs, prioritizing transparency and responsibility.

76% of participants expressed the desire for regulations and laws governing AI development, while an equal percentage advocated for researchers to meticulously scrutinize datasets for factual errors before training new models.

The questions regarding AI output labeling and the prohibition of deepfakes followed the same trend.

Most notably, people remain uncertain whether to be concerned or excited about AI advancements. The majority of respondents reported experiencing both sentiments, reflecting the early stage of this new era. ChatGPT was launched in November 2022, less than a year ago, yet it has made significant strides.

Opinions will evolve and solidify over time, but these preliminary findings warrant a closer examination if you have the opportunity.

🐳 In the near future, AI might help us to speak with animals

Decades after a failed attempt to teach dolphins human-like sounds, a new wave of research is revolutionizing the study of animal communication. Researchers are adopting a biocentric approach, utilizing artificial intelligence to understand non-human communication on its own terms. With the ongoing environmental crisis threatening biodiversity, AI-powered tools offer new avenues to aid animals. By mapping out innovative methods beyond anthropocentric thinking, technology can foster empathy and deeper connections between species.

The prospect of a Google Translate-like program to decode non-human communication is not far-fetched. As demonstrated by recent advancements, researchers have successfully developed AI models to decipher ancient human languages and are now applying similar techniques to unravel the languages of animals. Projects such as Project CETI and the Earth Species Project (ESP) are decoding the language of sperm whales and cataloging the calls of Hawaiian crows, respectively. Moreover, software like DeepSqueak employs deep learning algorithms to identify and categorize the ultrasonic squeaks of rodents. Machine learning is even being used to visualize thousands of bird sounds.

The emerging field of digital bioacoustics combines computer vision with natural language processing to analyze animal patterns without disrupting the ecosystem. Lightweight digital recorders attached to animals like whales and turtles capture sounds beyond the human hearing range, allowing researchers to gain insight into their unique languages. By accepting that non-human life possesses its own language and world, we can cultivate a more interconnected ecology. Ethical questions, however, must be considered, such as the issue of eavesdropping on animals without their consent. Nevertheless, understanding non-verbal animal communication holds great promise for protecting and conserving endangered species.

That's that for today! See you next Tuesday!
Tony