logo
Mae Jemison on making history in space and inspiring change on Earth

Mae Jemison on making history in space and inspiring change on Earth

Yahoo28-03-2025

More than three decades after making history aboard Space Shuttle Endeavour, Dr. Mae Jemison continues to inspire the next wave of space travelers while championing science and education on Earth.
Selected from among 2,000 applicants to NASA's astronaut training program in 1987, Jemison was part of the first group of astronauts chosen after the Challenger accident in 1987. During her eight-day mission on Endeavour in 1992, she became the first woman of color to travel to space, conducting 44 science experiments alongside her crewmates.
"Space gives us a remarkable perspective for looking at the Earth," Jemison said. "We can look at and understand floods, what's happened to the ozone layer, we can look for minerals."
She said despite being one of the few that have been in space, space technologies are integrated into everyday life.
"How many people have a smartphone? ... That's global positioning in your hand. We use space technologies every day," Jemison said.
Beyond the practical applications, Jemison believes space exploration offers a profound philosophical perspective.
"What it did for me is to connect me with the greater universe," she said of her experience. "I imagined that I'm as much a part of this universe as any speck of stardust."
When asked for advice for "CBS Mornings" co-host Gayle King, who is preparing for her own space journey on a Blue Origin flight, Jemison offered encouragement.
"Understand that you have never had so many talented people looking after you in your life. The other is that you're going up, you're bringing your own perspective, whatever that is, live in that moment."
Jemison also praised King, saying, "You are a courageous person. And courage is doing those things that we might be afraid of."
Jemison also advocates for greater accessibility to space and its technologies. Since her historic flight, Jemison has dedicated her career to advancing science education and technology development, serving as a stand-in for those who may never experience space firsthand.
"What's above us connects us," Jemison said. "Every group of people around the world have looked up at the stars for thousands of generations."
King's journey to space on a Blue Origin rocket will be featured in a special additional hour of "CBS Mornings" on Monday, April 14, at 9 a.m. EDT.
Hegseth reacts to Atlantic releasing his Signal texts to Trump team detailing Yemen bombing
Hegseth doubles down on Signal chat texts not being "war plans"
Former National Security Adviser H. R. McMaster reacts to Trump administration leak

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Catch Jupiter and Mercury side by side in the evening sky this week
Catch Jupiter and Mercury side by side in the evening sky this week

Yahoo

time2 hours ago

  • Yahoo

Catch Jupiter and Mercury side by side in the evening sky this week

When you buy through links on our articles, Future and its syndication partners may earn a commission. The nights surrounding June 7 will see Jupiter and Mercury crowd together close to the horizon in the northwestern sky. Stargazers in the U.S. will need a clear horizon to spot the planetary duo hanging less than 10 degrees (about a fist's width at arm's length) above the western horizon when the sun sets on June 6, with Jupiter positioned to the upper left of Mercury. The planets will only be visible for around 45 minutes after sunset, at which time they will follow our star below the horizon. The following evenings will see fleet-footed Mercury draw level with Jupiter, before rising above and away from the gas giant in the night sky as a result of the smaller world's tight orbit around the sun. On June 7, the planets will pass a little over two degrees from each other - close enough to fit comfortably inside the field of view of a pair of 10x50 binoculars. Ensure that the sun has set entirely below the horizon before you point any binoculars or telescopic gear in its direction. Side by side in the night sky, the two points of light appear similar in nature, belying the extreme differences of the solar system bodies they represent. Jupiter is a gas giant and the largest planet in our solar system, capable of fitting the smallest planet - rocky Mercury - within its expanse many thousands of times over. Want to find the planets of our solar system for yourself? The Celestron NexStar 4SE is ideal for beginners wanting quality, reliable and quick views of celestial objects. For a more in-depth look at our Celestron NexStar 4SE review. Their orbits are similarly divergent. It takes Jupiter 12 Earth years to complete a single lap of our star while travelling at an average orbital distance of 484 million miles (778 million kilometers). Counterintuitively, the gas giant has the shortest day of any planet in the solar system, taking a mere 9.9 hours to spin on its axis, according to NASA. Mercury, on the other hand, is separated on average by 29 million miles (47 million kilometers) from our star and completes a circuit of the sun every 88 Earth days — much shorter than the 176 Earth days that it takes for the tortured world to complete a full day-night cycle. Night sky enthusiasts hoping to explore the planets of our solar system for themselves should check out our guides to the best binocular and telescope deals. Those new to the night sky should also read our guide detailing the top smartphone stargazing apps available in 2025. Editor's Note: If you capture a picture of Jupiter and Mercury and want to share it with readers, then please send it along with your comments, name and the location of the shoot to spacephotos@

Inside the Secret Meeting Where Mathematicians Struggled to Outsmart AI
Inside the Secret Meeting Where Mathematicians Struggled to Outsmart AI

Yahoo

time2 hours ago

  • Yahoo

Inside the Secret Meeting Where Mathematicians Struggled to Outsmart AI

On a weekend in mid-May, a clandestine mathematical conclave convened. Thirty of the world's most renowned mathematicians traveled to Berkeley, Calif., with some coming from as far away as the U.K. The group's members faced off in a showdown with a 'reasoning' chatbot that was tasked with solving problems they had devised to test its mathematical mettle. After throwing professor-level questions at the bot for two days, the researchers were stunned to discover it was capable of answering some of the world's hardest solvable problems. 'I have colleagues who literally said these models are approaching mathematical genius,' says Ken Ono, a mathematician at the University of Virginia and a leader and judge at the meeting. The chatbot in question is powered by o4-mini, a so-called reasoning large language model (LLM). It was trained by OpenAI to be capable of making highly intricate deductions. Google's equivalent, Gemini 2.5 Flash, has similar abilities. Like the LLMs that powered earlier versions of ChatGPT, o4-mini learns to predict the next word in a sequence. Compared with those earlier LLMs, however, o4-mini and its equivalents are lighter-weight, more nimble models that train on specialized datasets with stronger reinforcement from humans. The approach leads to a chatbot capable of diving much deeper into complex problems in math than traditional LLMs. To track the progress of o4-mini, OpenAI previously tasked Epoch AI, a nonprofit that benchmarks LLMs, to come up with 300 math questions whose solutions had not yet been published. Even traditional LLMs can correctly answer many complicated math questions. Yet when Epoch AI asked several such models these questions, which were dissimilar to those they had been trained on, the most successful were able to solve less than 2 percent, showing these LLMs lacked the ability to reason. But o4-mini would prove to be very different. [Sign up for Today in Science, a free daily newsletter] Epoch AI hired Elliot Glazer, who had recently finished his math Ph.D., to join the new collaboration for the benchmark, dubbed FrontierMath, in September 2024. The project collected novel questions over varying tiers of difficulty, with the first three tiers covering undergraduate-, graduate- and research-level challenges. By February 2025, Glazer found that o4-mini could solve around 20 percent of the questions. He then moved on to a fourth tier: 100 questions that would be challenging even for an academic mathematician. Only a small group of people in the world would be capable of developing such questions, let alone answering them. The mathematicians who participated had to sign a nondisclosure agreement requiring them to communicate solely via the messaging app Signal. Other forms of contact, such as traditional e-mail, could potentially be scanned by an LLM and inadvertently train it, thereby contaminating the dataset. The group made slow, steady progress in finding questions. But Glazer wanted to speed things up, so Epoch AI hosted the in-person meeting on Saturday, May 17, and Sunday, May 18. There, the participants would finalize the final batch of challenge questions. Ono split the 30 attendees into groups of six. For two days, the academics competed against themselves to devise problems that they could solve but would trip up the AI reasoning bot. Each problem the o4-mini couldn't solve would garner the mathematician who came up with it a $7,500 reward. By the end of that Saturday night, Ono was frustrated with the bot, whose unexpected mathematical prowess was foiling the group's progress. 'I came up with a problem which experts in my field would recognize as an open question in number theory—a good Ph.D.-level problem,' he says. He asked o4-mini to solve the question. Over the next 10 minutes, Ono watched in stunned silence as the bot unfurled a solution in real time, showing its reasoning process along the way. The bot spent the first two minutes finding and mastering the related literature in the field. Then it wrote on the screen that it wanted to try solving a simpler 'toy' version of the question first in order to learn. A few minutes later, it wrote that it was finally prepared to solve the more difficult problem. Five minutes after that, o4-mini presented a correct but sassy solution. 'It was starting to get really cheeky,' says Ono, who is also a freelance mathematical consultant for Epoch AI. 'And at the end, it says, 'No citation necessary because the mystery number was computed by me!'' Defeated, Ono jumped onto Signal early that Sunday morning and alerted the rest of the participants. 'I was not prepared to be contending with an LLM like this,' he says, 'I've never seen that kind of reasoning before in models. That's what a scientist does. That's frightening.' Although the group did eventually succeed in finding 10 questions that stymied the bot, the researchers were astonished by how far AI had progressed in the span of one year. Ono likened it to working with a 'strong collaborator.' Yang Hui He, a mathematician at the London Institute for Mathematical Sciences and an early pioneer of using AI in math, says, 'This is what a very, very good graduate student would be doing—in fact, more.' The bot was also much faster than a professional mathematician, taking mere minutes to do what it would take such a human expert weeks or months to complete. While sparring with o4-mini was thrilling, its progress was also alarming. Ono and He express concern that the o4-mini's results might be trusted too much. 'There's proof by induction, proof by contradiction, and then proof by intimidation,' He says. 'If you say something with enough authority, people just get scared. I think o4-mini has mastered proof by intimidation; it says everything with so much confidence.' By the end of the meeting, the group started to consider what the future might look like for mathematicians. Discussions turned to the inevitable 'tier five'—questions that even the best mathematicians couldn't solve. If AI reaches that level, the role of mathematicians would undergo a sharp change. For instance, mathematicians may shift to simply posing questions and interacting with reasoning-bots to help them discover new mathematical truths, much the same as a professor does with graduate students. As such, Ono predicts that nurturing creativity in higher education will be a key in keeping mathematics going for future generations. 'I've been telling my colleagues that it's a grave mistake to say that generalized artificial intelligence will never come, [that] it's just a computer,' Ono says. 'I don't want to add to the hysteria, but in many ways these large language models are already outperforming most of our best graduate students in the world.'

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store