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The Invisible Becomes Visible: Scientists May Have Finally Seen Dark Matter

Dark matter is special in that it doesn’t emit, absorb or interact with light, so science had to find a more creative way to see it.

The universe has no shortage of mysteries, many of which have puzzled us for ages. One of the biggest is the existence of something called dark matter. First theorized in 1933 by Fritz Zwicky, dark matter is a theoretical type of matter that can’t be seen because it doesn’t interact with light or any other form of electromagnetic radiation.

After nearly 100 years, and with help from NASA’s Fermi Gamma-ray Space Telescope, researchers may have finally «seen» dark matter for the first time. 

If this proves to be true, it’ll be a significant development for science. Dark matter’s ability to hide in plain sight is legendary. It can’t be seen by any tool humans have ever made because dark matter can’t emit, absorb or reflect light of any kind, which is how humans and all of our tools see things. That makes dark matter impressively difficult to find. 

Tomonori Totani, an astronomy professor at the University of Tokyo, believes he may have succeeded where so many before him have failed. In a study published Nov. 25 in the Journal of Cosmology and Astroparticle Physics, Totani says he may have found dark matter by observing the byproduct of two particles of dark matter colliding with one another. 


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The key to this discovery is the theoretical existence of something called weakly interacting massive particles, or WIMPs for short. WIMPs are pieces of dark matter that are larger than protons and don’t interact with any other types of particles. When two WIMPs collide with each other, scientific theory suggests that they annihilate one another, and the resulting reaction produces gamma rays. 

Totani used data from NASA’s Fermi Gamma-ray Space Telescope to find what he believes are the gamma-ray emissions from these annihilation events, which, if accurate, would prove that dark matter exists — or at least put scientists on the right track to confirming its existence.

Why is dark matter so difficult to find?

NASA describes dark matter as «the invisible glue that holds the universe together.» Dark matter is everywhere. Theories suggest that only 5% of matter is the ordinary stuff that you and I can see, whereas dark matter makes up 27% of the pie. The rest is dark energy, which is yet another mystery that science has yet to solve. 

If there’s more than five times as much dark matter as there is regular matter, then why is it so hard to see? The short answer is that dark matter doesn’t interact with matter in a way that humans can detect with our current technology. 

This isn’t entirely unnatural. Science also has a tough time detecting black holes. Light cannot escape a black hole, so it is impossible to observe one directly. Instead, scientists have developed several methods to detect the presence of a black hole based on its impact on the surrounding environment. 

Cygnus X-1 — the first black hole ever detected — was found thanks to something called an accretion disk. Accretion disks are swirling clouds of gas, dust, plasma, and other particles that form around black holes and tend to emit vast amounts of X-ray radiation. Researchers found those intense X-rays and concluded that they came from a black hole. In the first photo of a black hole taken in 2019, the visible part is the black hole’s accretion disk, not the black hole itself. 

English philosopher and clergyman John Michell first theorized the existence of black holes in 1783. That means it took humankind 236 years to take a picture of a black hole, and even then, we can’t see the black hole in the picture. We just know it’s there because we can see its accretion disk.

Dark matter is much more challenging to detect. It doesn’t interact with the electromagnetic spectrum at all, including visible light. Much like black holes, science has used its impact on its environment to try and prove its existence. 

This phenomenon began in 1933, when astronomer Fritz Zwicky observed that galaxies in the Coma Cluster were moving too quickly for the amount of ordinary matter contained within it. Zwicky concluded that there must be a second type of unseen matter that was adding more gravitational force, acting as a sort of glue that held the cluster together. 

This theory has been refined over time, with additional evidence emerging. One example is gravitational lensing, which is a bending of light caused by gravity. The Bullet Cluster is the best example of this being potentially caused by dark matter, but it has not yet been definitively proven. 

Study author explains what he found

Over the decades, scientists have proposed various potential candidates for what dark matter particles actually are. One such theory is the WIMP. These theoretical particles are much larger than photons and have a distinctive characteristic. When they collide, science predicts that they will destroy one another, resulting in a burst of gamma rays. 

NASA has a short video here that shows how this would work in theory. These gamma-ray emissions are what Totani believes he has found. 

«We detected gamma rays with a photon energy of 20 gigaelectronvolts (or 20 billion electronvolts, a huge amount of energy, extending in a halolike structure toward the center of the Milky Way galaxy,» Totani told Phys.org. «The gamma-ray emission component closely matches the shape expected from the dark matter halo.»

There’s a little to unpack here, so I asked Totani for more information. He told me that stars in our galaxy are «distributed in a disk, while the dark matter halo is thought to surround it spherically.» The radiation generated from the theoretical dark matter would reach into the disk from its spherical location, giving Totani an idea of what to look for and where to look in general.

Once he looked there, he was able to find radiation that he says is «consistent with dark matter predictions.» 

To put it another way, the gamma rays were where they were supposed to be, at the photon energy level that science predicted they would be, and the emissions were in the shape expected for dark matter. 

Changing science forever

Totani found gamma rays where they were supposed to be and at the strength predicted, so it must be dark matter, right? 

Not exactly. 

While these findings are promising, they do not necessarily prove the existence of dark matter. The first step will be to have independent researchers verify Totani’s conclusions. 

Totani is aware of this and wants independent researchers to examine the data in an attempt to replicate his findings. This includes measuring gamma-ray emissions from other sources, such as dwarf galaxies, in the universe to see if something else can explain his findings. 

Currently, his findings can’t be easily explained by any known sources of gamma ray emissions, but that doesn’t mean that none exist. The data will need to be tested and retested, and researchers will need to bring in more information to verify that his findings are indeed related to dark matter. 

Science will take its time with this, because if Totani actually did find dark matter, the ramifications would be massive. He notes that the discovery of a new elementary particle not included in the current Standard Model of particle physics will have a significant impact on fundamental physics theory. And the discovery of dark matter would help piece together other cosmological mysteries, such as the nature of dark energy, the invisible force that causes the universe to expand at an accelerated rate. 

«If correct, the true nature of dark matter, long the greatest mystery in cosmology, has been revealed,» Totani said.

Technologies

Today’s Wordle Hints, Answer and Help for Dec. 9, #1634

Here are hints and the answer for today’s Wordle for Dec. 9, No. 1,634.

Looking for the most recent Wordle answer? Click here for today’s Wordle hints, as well as our daily answers and hints for The New York Times Mini Crossword, Connections, Connections: Sports Edition and Strands puzzles.


Today’s Wordle puzzle is a little tricky. If you need a new starter word, check out our list of which letters show up the most in English words. If you need hints and the answer, read on.

Today’s Wordle hints

Before we show you today’s Wordle answer, we’ll give you some hints. If you don’t want a spoiler, look away now.

Wordle hint No. 1: Repeats

Today’s Wordle answer has no repeated letters.

Wordle hint No. 2: Vowels

Today’s Wordle answer has two vowels.

Wordle hint No. 3: First letter

Today’s Wordle answer begins with S.

Wordle hint No. 4: Last letter

Today’s Wordle answer ends with E.

Wordle hint No. 5: Meaning

Today’s Wordle answer can refer to being insulting or derogatory.

TODAY’S WORDLE ANSWER

Today’s Wordle answer is SNIDE.

Yesterday’s Wordle answer

Yesterday’s Wordle answer, Dec. 8, No. 1633 was GRAVY.

Recent Wordle answers

Dec. 4, No. 1629: TULIP

Dec. 5, No. 1630: AMONG

Dec. 6, No. 1631: WAIST

Dec. 7, No. 1632: FLUTE


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Technologies

Today’s NYT Mini Crossword Answers for Tuesday, Dec. 9

Here are the answers for The New York Times Mini Crossword for Dec. 9.

Looking for the most recent Mini Crossword answer? Click here for today’s Mini Crossword hints, as well as our daily answers and hints for The New York Times Wordle, Strands, Connections and Connections: Sports Edition puzzles.


Need some help with today’s Mini Crossword? It’s a tough one today, and might take longer than usual. Read on for the answers. And if you could use some hints and guidance for daily solving, check out our Mini Crossword tips.

If you’re looking for today’s Wordle, Connections, Connections: Sports Edition and Strands answers, you can visit CNET’s NYT puzzle hints page.

Read more: Tips and Tricks for Solving The New York Times Mini Crossword

Let’s get to those Mini Crossword clues and answers.

Mini across clues and answers

1A clue: Apt profession for someone named Rosemary or Ginger
Answer: CHEF

5A clue: Get to go, as leftovers
Answer: BOXUP

7A clue: Word that can precede Bowl or Glue
Answer: SUPER

8A clue: Intense anger
Answer: RAGE

9A clue: «Cut that out!»
Answer: STOP

Mini down clues and answers

1D clue: Stephen Colbert’s network
Answer: CBS

2D clue: Noted group of 24
Answer: HOURS

3D clue: One living abroad, informally
Answer: EXPAT

4D clue: Spanish for «fire»
Answer: FUEGO

6D clue: Do some kitchen work
Answer: PREP


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AI Saves Workers Less Than an Hour Each Day, New OpenAI Report Shows

AI adoption is rapidly expanding across industries, but workers are saving only 40 to 60 minutes per day, on average.

OpenAI’s 2025 ‘The State of Enterprise AI’ report provides an in-depth look at how businesses are using AI tools within real companies. Drawing on anonymized usage data from more than 1 million business customers, along with a survey of 9,000 workers at nearly 100 organizations, the report presents a picture of increased AI adoption and integration in the workplace. 

«Across surveyed enterprises, 75% of workers report that using AI at work has improved either the speed or quality of their output,» the report states. Also, the report says that «75% of users report being able to complete new tasks they previously could not perform.» 

However, the productivity gains might not be as universal and widespread as anticipated: on average, ChatGPT Enterprise users save less than an hour of time per day, according to the report.

Below is a breakdown of the report’s major findings.


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Report shows productivity gains, but it’s not universal 

Despite the hype surrounding AI at work, the latest data from OpenAI suggests that the reality for most employees is modest. In its report, the company says that on average, ChatGPT Enterprise users save only about 40 to 60 minutes per active workday.

That’s not nothing, but it’s nowhere near the sweeping productivity overhaul that many hoped for. In a workday filled with meetings, emails and tool overload, an hour reclaimed can feel like a minimal benefit rather than a tidal shift in productivity.

(Disclosure: Ziff Davis, CNET’s parent company, in April filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)

A few key findings 

The report finds AI adoption within companies is growing fast. Weekly messages in ChatGPT Enterprise have increased nearly eightfold in the past year, and the use of structured workflows, such as custom GPTs, has risen 19 times. Companies are pushing more complex prompts, too, with reasoning-token usage increasing more than 320-fold.

But the outcomes don’t scale at the same rate. Workers say they complete certain tasks more quickly — like IT troubleshooting, campaign creation and coding improvements — yet the day-to-day gains still add up to roughly an hour on average.

A divide between heavy AI users and everyone else

OpenAI’s data shows a widening gap between «frontier» users — defined by OpenAI as those in the 95th percentile of adoption intensity — and the average worker, however.

Frontier employees send about six times more messages than average users. Unsurprisingly, these heavy users report bigger gains of over 10 hours a week. They build workflows around AI, automate routine tasks and turn the tool into a dependable co-worker instead of an occasional assistant. Though arguably, around 2 hours per day of saved time is still relatively moderate. 

OpenAI frames the report as a snapshot of where enterprise AI stands today, rather than a final verdict. The company suggests that future gains could come not from the model itself, but from how organizations reshape processes and workflows around it. 

But for most workers, AI is still a sidekick. Useful, but not transformative. It helps speed things up. It may even make some work less tedious. But the typical worker saving under an hour a day points to a technology that is powerful, yet still limited. The big question now is whether those numbers will keep climbing, or whether an hour a day is closer to the ceiling than AI enthusiasts want to admit.

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