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This whirling image features a bright spiral galaxy known as MCG-01–24-014, which is located about 275 million light-years from Earth. In addition to being a well-defined spiral galaxy, MCG-01–24-014 has an extremely energetic core known as an active galactic nucleus (AGN) and is categorized as a Type-2 Seyfert galaxy.

Seyfert galaxies, along with quasars, host one of the most common subclasses of AGN. While the precise categorization of AGNs is nuanced, Seyfert galaxies tend to be relatively nearby and their central AGN does not outshine its host, while quasars are very distant AGNs with incredible luminosities that outshine their host galaxies.

There are further subclasses of both Seyfert galaxies and quasars. In the case of Seyfert galaxies, the predominant subcategories are Type-1 and Type-2. Astronomers distinguish them by their spectra, the pattern that results when light is split into its constituent wavelengths. The spectral lines that Type-2 Seyfert galaxies emit are associated with specific ‘forbidden’ emission lines. To understand why emitted light from a galaxy could be forbidden, it helps to understand why spectra exist in the first place.

According to Candy, the rise of AI would instead put a premium on soft skills like critical and creative thinking.

“Questioning, creativity skills, and innovation are going to be hugely important because I think AI’s going to free up more capacity for creative thought processes,” he told Fortune earlier.

It’s not just jobs in tech, though. Candy said that advances in AI image-generation technology could also affect those working in the arts.

Japanese researchers have unraveled the mystery of how the jellyfish Cladonema pacificum regenerates its injured tentacles within a remarkably brief period of two to three days.

The team from the University of Tokyo was able to study the intricate process of blastema production, revealing insights into tissue regeneration in not just jellyfish but also other species, such as salamanders.

The official release defines blastema as a “clump of undifferentiated cells that can repair damage and grow into the missing appendage.” However, the formation of this critical blastema has long eluded scientific understanding until now.

Businesses must also ensure they are prepared for forthcoming regulations. President Biden signed an executive order to create AI safeguards, the U.K. hosted the world’s first AI Safety Summit, and the EU brought forward their own legislation. Governments across the globe are alive to the risks. C-suite leaders must be too — and that means their generative AI systems must adhere to current and future regulatory requirements.

So how do leaders balance the risks and rewards of generative AI?

Businesses that leverage three principles are poised to succeed: human-first decision-making, robust governance over large language model (LLM) content, and a universal connected AI approach. Making good choices now will allow leaders to future-proof their business and reap the benefits of AI while boosting the bottom line.