14,000-year-old mummified ‘puppies' weren't dogs at all, new research shows

Sign up for CNN's Wonder Theory science newsletter. Explore the universe with news on fascinating discoveries, scientific advancements and more.
Two well-preserved ice age 'puppies' found in Northern Siberia may not be dogs at all, according to new research.
Still covered in fur and naturally preserved in ice for thousands of years, the 'Tumat Puppies,' as they are known, contain hints of a last meal in their stomachs, including meat from a woolly rhinoceros and feathers from a small bird called a wagtail.
Previously thought to be early domesticated dogs or tamed wolves living near humans, the animals' remains were found near woolly mammoth bones that had been burned and cut by humans, suggesting the canids lived near a site where humans butchered mammoths.
By analyzing genetic data from the gut contents and chemical signatures in the bones, teeth and soft tissue, researchers now think the animals were 2-month-old wolf pups that show no evidence of interacting with people, according to findings published Thursday in the journal Quaternary Research.
Neither of the mummified wolf cubs, believed to be sisters, show signs of having been attacked or injured, indicating that they died suddenly when their underground den collapsed and trapped them inside more than 14,000 years ago. The den collapse may have been triggered by a landslide, according to the study.
The wealth of data from the remains is shedding light on the everyday life of ice age animals, including how they ate, which is similar to the habits of modern wolves.
'It was incredible to find two sisters from this era so well preserved, but even more incredible that we can now tell so much of their story, down to the last meal that they ate,' wrote lead study author Anne Kathrine Wiborg Runge, formerly a doctoral student at the University of York and the University of Copenhagen, in a statement. 'Whilst many will be disappointed that these animals are almost certainly wolves and not early domesticated dogs, they have helped us get closer to understanding the environment at the time, how these animals lived, and how remarkably similar wolves from more than 14,000 years ago are to modern day wolves.'
The multitude of research on these pups and other specimens also illustrates how difficult it is to prove when dogs, widely regarded as the first domesticated animal, became a part of human society.
Trapped in thawing permafrost, the Tumat Puppies were discovered separately at the Syalakh site, about 25 miles (40 kilometers) from the nearest village of Tumat — one in 2011 and the other in 2015. They are approximately 14,046 to 14,965 years old. Hair, skin, claws and entire stomach contents can survive eons under the right conditions, said study coauthor Dr. Nathan Wales, senior lecturer in archaeology at the University of York in England.
'The most surprising thing to me is that the archaeologists managed to discover the second Tumat Puppy several years after the first was found,' Runge told CNN. 'It is very rare to find two specimens that are so well preserved and then they turn out to be siblings/littermates. It's extraordinary.'
Like modern wolves, the pups ate both meat and plants. Though a woolly rhinoceros would be rather large prey for wolves to hunt, the piece of woolly rhino skin in one pup's stomach is proof of the canids' diet. The rhino skin, bearing blond fur, was only partially digested, suggesting the pups were resting in their den and died shortly after their last meal, Runge said.
The color of the woolly rhino fur is consistent with that of a calf, based on previous research of a juvenile woolly rhino specimen found in the permafrost. Adult woolly rhinos likely had darker fur. The pack of adult wolves hunted the calf and brought it back to the den to feed the pups, according to the study authors.
'The hunting of an animal as large as a wooly rhinoceros, even a baby one, suggests that these wolves are perhaps bigger than the wolves we see today,' Wales wrote in a statement.
The researchers also analyzed tiny plant remains fossilizing in the cubs' stomachs, revealing that the wolves lived in a dry, somewhat mild environment that could support diverse vegetation including prairie grasses, willows and shrub leaves.
In addition to eating solid food, the pups were likely still nursing milk from their mother, according to the researchers.
What scientists didn't find was evidence that mammoths were part of the cubs' diet, meaning it was unlikely that humans at the site were feeding the canids. Is it possible, though, that people shared woolly rhino meat with the cubs? That's something Wales considered, but now he believes the evidence points in the other direction.
'We know that modern wolves will hunt large prey like elk, moose and musk ox, and anyone who watches animal documentaries will know wolves tend to single out juvenile or weaker individuals when they hunt,' Wales wrote in an email. 'I lean toward the interpretation that the Tumat Puppies were fed part of a juvenile wooly rhino (by adult wolves).'
The origin of the woolly rhino meat is impossible to pinpoint — the wolf pack could have hunted the calf or scavenged it from a carcass or even a butchering site — but given the age of the cubs and the fact that the den collapsed on them, it seems less likely that humans fed them directly, Runge said.
That the cubs were being reared in a den and fed by their pack, similarly to how wolves breed and raise their young today, further suggests that the Tumat Puppies were wolves rather than dogs, Wales said.
Painting a broader picture of ice age wolves is difficult because no written sources or cave art depicting them have been found, so it is unclear how wolf packs and ancient humans would have interacted, Runge said.
'We have to try to account for our own biases and preconceived notions based on human-wolf interactions today,' she wrote. 'And then we have to be okay with knowing we'll never be able to answer some of the questions.'
Researchers are still trying to understand how domesticated dogs became companions to humans. One hypothesis is that wolves lived near humans and scavenged their food. But the domestication process would take generations and require humans to tolerate this behavior. Another hypothesis is that humans actively captured and hand-raised wolves, causing some of them to become isolated from wild populations, resulting in early dogs.
Previous DNA tests on the cubs suggested they could have come from a now extinct population of wolves that eventually died out — and a population that did not act as a genetic bridge to modern dogs.
'When we're talking about the origins of dogs, we're talking about the very first domesticated animal,' Wales said. 'And for that reason, scientists have to have really solid evidence to make claims of early dogs.'
All the evidence the authors of the new study found was compatible with the wolves living on their own, Wales said.
'Today, litters are often larger than two, and it is possible that the Tumat Puppies had siblings that escaped (the same) fate,' he said. 'There may also be more cubs hidden in the permafrost or lost to erosion.'
Pinpointing where and when dogs were domesticated is still something of a holy grail in archaeology, evolutionary biology and ancient DNA research, said Dr. Linus Girdland-Flink, a lecturer in biomolecular archaeology at the University of Aberdeen in Scotland. Though Girdland-Flink's research is on ancient wolves and dogs, he was not involved in the new study.
But determining whether ancient remains like the Tumat Puppies are early domestic dogs, wild wolves, scavengers or tamed individuals isn't straightforward because of the fragmented archaeological record, he said. No one piece of evidence can lead to a definitive answer. And it's even harder to do a comparison involving cubs because adult traits help distinguish between wild wolves and domesticated dogs.
'Instead, we have to bring together different lines of proxy evidence — archaeological, morphological, genetic, ecological — and think about how they all fit,' Girdland-Flink wrote in an email. 'So, I really welcome this new multi-disciplinary reanalysis of the Tumat puppies.'
Girdland-Flink wasn't surprised the cubs weren't associated with the mammoth butchering site — an absence of evidence that matters. And combined with the lack of strong genetic ties to domestic dogs, he agreed the cubs must have come from a wolf population that did not live with humans.

Try Our AI Features

Explore what Daily8 AI can do for you:

Learn with AIFact CheckingText to SpeechAI Summary

Related Articles

Yahoo

an hour ago

• Yahoo

Meet the tiny Australian Moth that travels 1,000 km and navigates using the stars

An Australian moth follows the stars during its yearly migration, using the night sky as a guiding compass, according to a new study. When temperatures heat up, nocturnal Bogong moths fly about 1,000 kilometres to cool down in caves by the Australian Alps. They later return home to breed and die. Birds routinely navigate by starlight, but the moths are the first known invertebrates, or creatures without a backbone, to find their way across such long distances using the stars. Scientists have long wondered how the moths travel to a place they've never been. A previous study hinted that Earth's magnetic field might help steer them in the right direction, along with some kind of visual landmark as a guide. Related Does cutting off rhinos' horns protect them from poachers? New study supports controversial approach Since stars appear in predictable patterns each night, scientists suspected they might help lead the way. They placed moths in a flight simulator that mimicked the night sky above them and blocked out the Earth's magnetic field, noting where they flew. Then they scrambled the stars and saw how the moths reacted. When the stars were as they should be, the moths flapped in the right direction. But when the stars were in random places, the moths were disoriented. Their brain cells also got excited in response to specific orientations of the night sky. The findings were published Wednesday in the journal Nature. It 'was a very clean, impressive demonstration that the moths really are using a view of the night sky to guide their movements,' said Kenneth Lohmann, who studies animal navigation at the University of North Carolina at Chapel Hill and was not involved with the new research. Researchers don't know what features of the night sky the moths use to find their way. It could be a stripe of light from the Milky Way, a colourful nebula or something else entirely. Whatever it is, the insects seem to rely on that, along with Earth's magnetic field, to make their journey. Related Rare snail that can 'slurp up earthworms like noodles' caught on camera laying an egg from its neck Scientists use special 'squeezing' and electrical probes to collect sperm from endangered kākāpō Other animals harness the stars as a guide. Birds take celestial cues as they soar through the skies, and dung beetles roll their remains short distances while using the Milky Way to stay on course. It's an impressive feat for Bogong moths, whose brains are smaller than a grain of rice, to rely on the night sky for their odyssey, said study author David Dreyer with Lund University in Sweden. 'It's remarkable that an animal with such a tiny brain can actually do this,' Dreyer said.

CNN

3 hours ago

• CNN

How your AI prompts could harm the environment

AI Sustainability Climate change EconomyFacebookTweetLink Follow Sign up for CNN's Life, But Greener newsletter. Our limited newsletter series guides you on how to minimize your personal role in the climate crisis — and reduce your eco-anxiety. Whether it's answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people's lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up. Each word in an AI prompt is broken down into clusters of numbers called 'token IDs' and sent to massive data centers — some larger than football fields — powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations. The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute. So, for each prompt you give AI, what's the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers. In addition, 'smarter' LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported. 'This shows us the tradeoff between energy consumption and the accuracy of model performance,' said Maximilian Dauner, a doctoral student at Hochschule München University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday. Typically, these smarter, more energy intensive LLMs have tens of billions more parameters — the biases used for processing token IDs — than smaller, more concise models. 'You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer a question,' Dauner said. Complex questions require more energy in part because of the lengthy explanations many AI models are trained to provide, Dauner said. If you ask an AI chatbot to solve an algebra question for you, it may take you through the steps it took to find the answer, he said. 'AI expends a lot of energy being polite, especially if the user is polite, saying 'please' and 'thank you,'' Dauner explained. 'But this just makes their responses even longer, expending more energy to generate each word.' For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don't need an explanation at all. Most important, Dauner's study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task. 'Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,' Luccioni explained. If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator. Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said. When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks. Putting a number on the environmental impact of AI has proved challenging. The study noted that energy consumption can vary based on the user's proximity to local energy grids and the hardware used to run AI partly why the researchers chose to represent carbon emissions within a range, Dauner said. Furthermore, many AI companies don't share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI's water consumption. 'You can't really say AI consumes this much energy or water on average — that's just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,' Ren said. One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested. 'Generally, if people were more informed about the average (environmental) cost of generating a response, people would maybe start thinking, 'Is it really necessary to turn myself into an action figure just because I'm bored?' Or 'do I have to tell ChatGPT jokes because I have nothing to do?'' Dauner said. Additionally, as more companies push to add generative AI tools to their systems, people may not have much choice how or when they use the technology, Luccioni said. 'We don't need generative AI in web search. Nobody asked for AI chatbots in (messaging apps) or on social media,' Luccioni said. 'This race to stuff them into every single existing technology is truly infuriating, since it comes with real consequences to our planet.' With less available information about AI's resource usage, consumers have less choice, Ren said, adding that regulatory pressures for more transparency are unlikely to the United States anytime soon. Instead, the best hope for more energy-efficient AI may lie in the cost efficacy of using less energy. 'Overall, I'm still positive about (the future). There are many software engineers working hard to improve resource efficiency,' Ren said. 'Other industries consume a lot of energy too, but it's not a reason to suggest AI's environmental impact is not a problem. We should definitely pay attention.'

Yahoo

4 hours ago

• Yahoo

Meet the tiny Australian Moth that travels 1,000 km and navigates using the stars

An Australian moth follows the stars during its yearly migration, using the night sky as a guiding compass, according to a new study. When temperatures heat up, nocturnal Bogong moths fly about 1,000 kilometres to cool down in caves by the Australian Alps. They later return home to breed and die. Birds routinely navigate by starlight, but the moths are the first known invertebrates, or creatures without a backbone, to find their way across such long distances using the stars. Scientists have long wondered how the moths travel to a place they've never been. A previous study hinted that Earth's magnetic field might help steer them in the right direction, along with some kind of visual landmark as a guide. Related Does cutting off rhinos' horns protect them from poachers? New study supports controversial approach Since stars appear in predictable patterns each night, scientists suspected they might help lead the way. They placed moths in a flight simulator that mimicked the night sky above them and blocked out the Earth's magnetic field, noting where they flew. Then they scrambled the stars and saw how the moths reacted. When the stars were as they should be, the moths flapped in the right direction. But when the stars were in random places, the moths were disoriented. Their brain cells also got excited in response to specific orientations of the night sky. The findings were published Wednesday in the journal Nature. It 'was a very clean, impressive demonstration that the moths really are using a view of the night sky to guide their movements,' said Kenneth Lohmann, who studies animal navigation at the University of North Carolina at Chapel Hill and was not involved with the new research. Researchers don't know what features of the night sky the moths use to find their way. It could be a stripe of light from the Milky Way, a colourful nebula or something else entirely. Whatever it is, the insects seem to rely on that, along with Earth's magnetic field, to make their journey. Related Rare snail that can 'slurp up earthworms like noodles' caught on camera laying an egg from its neck Scientists use special 'squeezing' and electrical probes to collect sperm from endangered kākāpō Other animals harness the stars as a guide. Birds take celestial cues as they soar through the skies, and dung beetles roll their remains short distances while using the Milky Way to stay on course. It's an impressive feat for Bogong moths, whose brains are smaller than a grain of rice, to rely on the night sky for their odyssey, said study author David Dreyer with Lund University in Sweden. 'It's remarkable that an animal with such a tiny brain can actually do this,' Dreyer said.