• Mathematicians need to develop their oft-neglected social skills, a math professor at Cornell said.
• Though AI can do the legwork on complex problems, personal charisma is a human-only skill, Steven Strogatz said.
• "Rizz is more and more in demand," he added.

"Social skills" and "mathematics" are terms not often grouped together. In the age of AI, one math scholar says that needs to change.

With AI now capable of handling the geeky legwork required by complex problems, Steven Strogatz, a lecturer and Susan and Barton Winokur Distinguished Professor at Cornell University, said mathematicians should prioritize developing their personal charm in order to set themselves apart.

"I'm starting to think that what makes a future mathematician or a math professor is your unique brand," Strogatz said in an interview with Grant Sanderson, a math educator affiliated with Stanford University.

"Rizz is in more and more demand because it's something that only people have," he added.

Rizz, a Gen Z slang term, is defined by Merriam-Webster as "romantic appeal or charm." (Strogatz, who is 67, appeared to use the term solely to mean charm or charisma. He did not suggest mathematicians need to work on their romantic prowess.)

"What we're selecting for is an element of mathematical rizz," said Sanderson. "The PhDs to be are not going to be differentiated by pure problem-solving abilities."

The brusque push of AI companies into mathematics has caused consternation and head-scratching from many a math geek, as the field ponders ways to stay relevant while OpenAI floods the zone with hundreds of proposed solutions to the world's most complex problems.

Some professors have sworn off AI altogether. Most, however, are trying to find ways to incorporate the technology into their work.

In September, a group of undergraduates at Caltech announced a "mathathon" event in which participants were encouraged to use AI to solve problems in a single, no-sleep sprint. Only days after the undergrads announced the event, a coalition of over 700 academics signed an open letter calling for its cancellation, citing its promotion of AI "slop."

Though the event is set to continue, with some slight alterations, the clash underscored an internal conflict in the math community over how to adapt to AI — a development poised to impact many burgeoning careers in the field.

"We've had whole research programs wiped out on Tuesday," Tristan Buckmaster, a math professor at NYU, said after OpenAI published 700 new findings about outstanding problems earlier this month.

The issue is of supreme importance to Strogatz, who has made several media appearances in the last couple of months. In an essay published in The Atlantic on Sunday, he put the issue in stark terms.

"I am a math professor, and my field is in crisis. Nobody in math is ever going to forget the year 2026," he wrote. "Unless this is really the end of the subject, and then nobody will remember anything about math anyway."

• Canva launched Canva Craft, a tool similar to AI image models by Google, Meta, and OpenAI.
• Surprisingly, Canva fell short on a design task but did well at generating more realistic images.
• Here is how Canva's new image generation tool stacks up against ChatGPT, Gemini, and Muse.

Canva wants a shot at winning the AI image generation race.

The design platform launched Canva Craft on Thursday, its first image-generation model, similar to those from Google, Meta, and OpenAI.

Users can access Craft through Canva’s Dream Lab, including with free accounts, though it is subject to AI usage limits. You’ll need to sign in to a Canva account to get started.

In the release announcement, Canva said the tool plans a design’s layout, proportions, and text before generating an image, an approach that aims to help it produce legible lettering and accurate details.

The company also said that the model was trained on human-designed Canva templates, including posters, menus, and presentations, rather than photographs.

To test how Canva performs, Business Insider created three image generation prompts with escalating difficulty levels — from designing a simple greeting card to creating a photorealistic image from scratch.

Here is how Canva's brand-new image generation tool stacked up against three of the most powerful models.

Canva did not respond to a request for comment.

Starting off with an illustration

We started off simple with a prompt for a birthday card.

Create a cartoon "Happy Birthday" greeting card for a friend named Jessica who has pink hair, brown eyes, likes to wear paisley, and is turning 28 years old in November.

Surprisingly, Canva, the design platform, fell short in its design of the birthday card, from the awkward font to the outsize head of the cartoon character. It didn't even bother to include any paisley.

By comparison, ChatGPT and Muse understood the assignment.

ChatGPT guessed that the recipient's favorite color might be pink, while Muse thoughtfully wove in cozy fall elements for the November birthday girl.

Meanwhile, Gemini took the request literally and produced an image of an actual card. Extra points!

Winner: Muse

Editing an image

For the second task, I tested the AI models' ability to identify an element and place it in a brand-new setting.

Edit this image of me holding a necklace pendant. Take the red garnet pendant off my hand and make it look as if it is displayed in a vitrine in a jewelry showroom.

Canva did a great job of identifying the pendant and creating an atmospheric setting, but, like Gemini, it depicted the jewelry in a way that defied physics and common sense. It would be unrealistic for a pendant to float in the air or sit propped on a metal pole.

ChatGPT and Muse once again outperformed other models in understanding how things typically look in reality. Muse, however, made some alterations to the pendant, which I didn't ask for.

Winner: ChatGPT

Creating a photorealistic image from scratch

With Halloween approaching, I asked for a realistic depiction of my favorite animal.

Generate a photorealistic image of a long-haired orange tabby cat in a Halloween costume with bat wings, perched on the edge of a gothic medieval castle under the full moon and a starless night sky.

Though the cat's fur looks a little too strandy and high-contrast in Canva's creation, no components are missing or malformed, and the image composition pretty much matches the quality of Muse and Gemini.

The clear winner for me in this round, however, would be ChatGPT.

Not only is the cat's posture majestic, but the soft glow on his left side is extremely realistic, and the white balance is well done. There are also clouds softly cradling the moon, which could be a response to my request for a starless sky.

Winner: ChatGPT

Overall, it's evident that Canva still has a lot of room to grow compared to other models, especially if graphic design is its focus. For now, I'll stick to moving components around by hand.