logo
Drone footage reveals orcas using tools in a stunning first

Drone footage reveals orcas using tools in a stunning first

Yahoo3 days ago

Sign up for CNN's Wonder Theory science newsletter. Explore the universe with news on fascinating discoveries, scientific advancements and more.
Behavioral ecologist Michael Weiss was browsing through new drone footage of the orca pods he studies in the Salish Sea when he spotted one of the killer whales carrying something green in its mouth and noticed an unusual behavior: Some orcas were rubbing against each other for up to 15 minutes at a time.
At first, Weiss didn't think much of it 'because whales do weird things,' he said. But more observations yielded similar sights on his drone camera. 'I zoom in, and sure enough, there's clear as day this piece of kelp that they're using to rub on each other.'
Over the course of just two weeks in 2024, Weiss and his team documented 30 examples of these curious interactions. They found that the southern resident orcas — a distinct population of killer whales — were detaching strands of bull kelp from the seafloor to roll between their bodies in a behavior the scientists dubbed 'allokelping.' Allokelping could be a form of grooming for skin hygiene, as well as a way to socially bond with other members of the pod, the researchers reported in a new paper published Monday in the journal Current Biology.
The discovery marks the first time cetaceans — marine mammals including whales, dolphins and porpoises — have been observed using an object as a tool to groom.
Across the animal kingdom, using tools is rare, according to behavioral ecologists. But when it does happen, it's often for finding food or attracting mates. 'This is a quite different way of using an object,' said Weiss, the study's lead author and research director of the Center for Whale Research in Washington state.
There are two possible reasons behind the allokelping behavior, Weiss and his team hypothesize.
Hygiene, such as treating or removing dead skin, could be one explanation. Cetaceans often shed dead skin, which helps keep their bodies smooth and aerodynamic. Skin lesions, particularly gray patches, are becoming more prevalent in southern resident orcas, Weiss added, so allokelping might be a way to treat those lesions.
The other hypothesis, Weiss explained, is that allokelping is a way to strengthen social bonds, as the whale pairs seen exhibiting this behavior were usually close relatives or similar in age.
'These guys are incredibly socially bonded,' said Deborah Giles, an orca scientist at the SeaDoc Society who was not involved with the research. This behavior is fascinating but not entirely surprising, she added.
Orcas are curious and tactile, with brains that are large compared with their body size, Giles explained, adding that some parts of the killer whale brain are more developed than what's seen in humans. Each orca population even has its own dialect.
Cetaceans also have sensitive skin, explained Janet Mann, a behavioral ecologist at Georgetown University who has studied marine mammals for 37 years. Orcas are known to rub on other objects such as smooth-pebble beaches in Canada, or on algal mats. But it's unusual to see two individual killer whales using a tool to seemingly exfoliate each other, she said.
'What (the study) shows is that we know very little about cetacean behavior in the wild,' Mann said.
Allokelping likely wouldn't have been discovered without advances in drone and camera technology, which have opened up 'a whole new world' for scientists to better understand cetaceans' complex lifestyles, Mann said. Historically, whales are observed from shore or from boats, offering a limited perspective of what's happening in the water. But drones offer a bird's-eye view of what marine animals are doing just below the surface. It's likely this population has been allokelping for a while, she said — only now we can see it.
Orca scientists with drone footage are probably going to be on the lookout for this sort of behavior now, Giles said.
Killer whales aren't the only cetaceans known to use tools, though. Some bottlenose dolphins have been observed carefully removing and using sponges to scare up prey on the seabed, a sophisticated behavior that only a small fraction of the population exhibits, said Mann, who has studied the dolphins in Australia's Shark Bay.
Some other bottlenose dolphins use their tails to slap the ground in a circle, creating mud-ring plumes that trap fish. And humpback whales have long used bubble nets to catch prey.
Whether these examples constitute 'using tools' is a topic of debate in the scientific community, but regardless, they are all behaviors related to foraging for food. What makes allokelping unique is its potential benefits for skin health and relationships — in other words, it appears to be a cultural practice.
'This idea of allogrooming (with tools) is largely limited to primates, which is what makes it remarkable,' said Philippa Brakes, a behavioral ecologist with the nonprofit Whale and Dolphin Conservation who was not involved with the research. 'This kind of feels like a moment in time for cetaceans, because it does prove that you don't necessarily need a thumb to be able to manipulate a tool.'
Brakes, who studies social learning and culture in cetaceans, added that this new research 'tells us quite a lot about how important culture is for these species.' Each population — in this case, southern resident orcas — has a distinct dialect for communication, specific foraging strategies and now a unique type of tool use.
In a rapidly changing environment, Brakes said, 'culture provides a phenomenal way for animals to be able to adapt,' as it has for humans.
'It's more reason to ensure that we protect their habitat as well as their behavior,' she noted.
Indeed, southern resident killer whales are critically endangered and federally protected both in the United States and Canada, with a total population of just 74 whales. And as bull kelp is in decline due to human activities that disrupt the seabed and more frequent heat waves caused by climate change, the overall ecosystem is degrading.
Kelp forests are also critical nursery habitat for juvenile chinook salmon — a key part of killer whales' diet, Giles said. Southern residents have been spending less and less time in the Salish Sea over the years, possibly because of dwindling prey, said Monika Wieland Shields, cofounder and director of the nonprofit Orca Behavior Institute.
'This study makes me wonder if one of the reasons the Southern Residents continue to visit the Salish Sea periodically even during times of low salmon abundance is to engage in allokelping,' Shields wrote in an email to CNN.
The research is now leading to new areas of study.
'This cetacean data point is a really important one because it's completely novel,' said Dora Biro, an animal cognition researcher at the University of Rochester who was not involved with the study.
Biro, who has mostly studied tool use in wild chimpanzees, added that examples of terrestrial tool use are much more widespread than in aquatic environments. She is now working on a grant proposal with Weiss' team to better understand the purpose of the behavior.
But for Brakes, there doesn't necessarily need to be a purpose: 'The objective may just be social bonding, and that would still make it a tool.'

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

New Heart Risk Tool Reveals Hidden Ethnic Patterns
New Heart Risk Tool Reveals Hidden Ethnic Patterns

Medscape

timean hour ago

  • Medscape

New Heart Risk Tool Reveals Hidden Ethnic Patterns

TOPLINE: The American Heart Association's Predicting Risk of Cardiovascular Disease Events (PREVENT) equations successfully identified the risk for heart problems in a group of 361,778 ethnically diverse patients. Over a mean follow-up of 8.1 years, researchers observed 22,648 cardiovascular events, with the equations showing modest variation in performance across disaggregated ethnic subgroups. METHODOLOGY: The retrospective cohort study analyzed 361,778 primary care patients aged 30-79 years across the Sutter Health system in Northern California from January 2010 to September 2023, with participants requiring at least two primary care visits during the study period. Participants were required to have several baseline data points for the PREVENT equations to evaluate, including non-high-density lipoprotein (HDL) cholesterol, systolic blood pressure, BMI, estimated glomerular filtration rate, diabetes status, and smoking status, all while being free of cardiovascular disease (CVD). Primary outcomes included identifying CVD events, defined as total CVD, atherosclerotic CVD, and heart failure, using International Classification of Diseases, Ninth and Tenth Revision codes, with a mean follow-up duration of 8.1 years. TAKEAWAY: Among Asian populations, C statistics for total CVD ranged from a C statistic of 0.79 (95% CI, 0.77-0.81) in Filipino patients to a C statistic of 0.85 (95% CI, 0.83-0.87) in Asian Indian patients, with calibration slopes generally under 1.0, except for Asian Indian participants. Hispanic subgroups showed consistent C statistics — a measure of how well a model distinguishes between two groups — between 0.80 and 0.82 for total CVD and good predictive performance. The PREVENT equations outperformed the pooled cohort equations for predicting atherosclerotic CVD across all racial and ethnic groups and subgroups. The researchers observed small differences in the performance of PREVENT equations for atherosclerotic CVD and heart failure among racial and ethnic groups and subgroups. IN PRACTICE: 'Our results show that PREVENT equations performed well in this study cohort and similarly to the original equation development and validation cohort on the discrimination measure,' the researchers reported. 'In particular, the performance was slightly better in discriminating CVD events for Asian and Hispanic participants compared to Black or White participants in the study population. The equations slightly overestimated CVD risk for all three CVD event types in Asian and most Asian subgroups and accurately predicted CVD events among Hispanic and disaggregated Hispanic subgroups.' 'As the burden of CVD and its risk factors is forecasted to increase in the coming decades alongside rapid growth of the Asian and Hispanic populations in the US, the imperative for equitable clinical CVD prevention is more urgent than ever,' wrote Nilay S. Shah, MD, MPH, of Northwestern University Feinberg School of Medicine, in Chicago, in an editorial accompanying the journal article. 'Although best practices for clinical implementation of the PREVENT cardiovascular disease risk prediction models should be further investigated, [the new study shows] that the PREVENT equations are an important step forward for Asian and Hispanic communities that until now were unseen in CVD prevention recommendations.' SOURCE: The study was led by Xiaowei Yan, PhD, MS, MPH, of the Center for Health Systems Research at Sutter Health in Walnut Creek, California. It was published online on June 25 in JAMA Cardiology. LIMITATIONS: Despite disaggregation of Asian and Hispanic subgroups, the researchers were unable to fully examine other disaggregated groups due to small sample sizes. As a study based on data from a healthcare system, the population may be biased toward less healthy individuals compared to the general population. Almost half of eligible patients had incomplete data and were excluded from the analysis, potentially introducing selection bias. DISCLOSURES: The study received funding from the National Heart, Lung, and Blood Institute; the American Heart Association/Harold Amos Medical Faculty Development program; and the Doris Duke Foundation, as well as consulting fees from multiple organizations including Novartis, Novo Nordisk, Esperion Therapeutics, and others. This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

Hugging Face Co-Founder Challenges AI Optimists: 'Models Can't Ask Original Scientific Questions'
Hugging Face Co-Founder Challenges AI Optimists: 'Models Can't Ask Original Scientific Questions'

Yahoo

timean hour ago

  • Yahoo

Hugging Face Co-Founder Challenges AI Optimists: 'Models Can't Ask Original Scientific Questions'

Thomas Wolf, co-founder and chief science officer at Hugging Face, has cast doubt on the belief that current artificial intelligence systems will lead to major scientific breakthroughs. Wolf told Fortune that today's large language models, or LLMs, excel at providing answers but fall short when it comes to formulating original questions. 'In science, asking the question is the hard part,' he said. 'Once the question is asked, often the answer is quite obvious, but the tough part is really asking the question, and models are very bad at asking great questions.' Don't Miss: GoSun's breakthrough rooftop EV charger already has 2,000+ units reserved — become an investor in this $41.3M clean energy brand today. Invest early in CancerVax's breakthrough tech aiming to disrupt a $231B market. Back a bold new approach to cancer treatment with high-growth potential. Wolf's comments were in response to a blog post by Anthropic CEO Dario Amodei, who argues that artificial intelligence could compress a century's worth of scientific breakthroughs into just a few years. Wolf said he initially found the post compelling but became skeptical after rereading. 'It was saying AI is going to solve cancer, and it's going to solve mental health problems—it's going to even bring peace into the world. But then I read it again and realized there's something that sounds very wrong about it, and I don't believe that,' he told Fortune. San Francisco-based Anthropic is backed by tech giants, including Inc. (NASDAQ:AMZN) and Alphabet Inc. (NASDAQ:GOOG, GOOGL)), and is also known for its Claude family of AI models. For Wolf, the core issue lies in how LLMs are trained. In another blog post, Wolf argues that today's AI systems are built to predict likely outcomes, act as "yes-men on servers," capable of mimicking human responses but incapable of challenging assumptions or generating original ideas. "To create an Einstein in a data center, we don't just need a system that knows all the answers, but rather one that can ask questions nobody else has thought of or dared to ask," Wolf wrote. He cited that real scientific progress often comes from paradigm shifts—like Copernicus proposing heliocentrism or the invention of CRISPR-based gene editing—rather than from answering existing questions. Trending: This Jeff Bezos-backed startup will allow you to become a landlord in just 10 minutes, with minimum investments as low as $100. Wolf also questioned how AI performance is measured today. In his blog post, he pointed to benchmarks like Humanity's Last Exam or Frontier Math, which test how well AI models can answer complex but well-defined questions. "These are exactly the kinds of exams where I excelled," Wolf wrote, referencing his academic background. "But real scientific breakthroughs come not from answering known questions, but from asking challenging new ones and questioning previous ideas." He argued that AI needs to demonstrate the ability to challenge its training data, take counterfactual approaches, and identify new research directions from incomplete information. Using the board game Go as an analogy, Wolf said the landmark 2016 victory of DeepMind's AlphaGo over world champions made headlines but was not revolutionary. "Move 37, while impressive, is still essentially a straight-A student answer to the question posed by the rules of the game of Go," he wrote in his blog. "An Einstein-level breakthrough in Go would involve inventing the rules of Go itself." Hugging Face is a prominent open-source platform in the AI community, known for its collaborative development of open-source machine learning models and tools. The company is backed by investors including Sequoia Capital and Lux Capital, and it plays a leading role in developing transparent and accessible AI systems. Wolf concluded that while current models are useful as assistants, true scientific progress requires a different kind of intelligence—one that can formulate disruptive questions rather than repeat what is already known. See Next: $100k in assets? Maximize your retirement and cut down on taxes: Schedule your free call with a financial advisor to start your financial journey – no cost, no obligation. Warren Buffett once said, "If you don't find a way to make money while you sleep, you will work until you die." Here's how you can earn passive income with just $100. UNLOCKED: 5 NEW TRADES EVERY WEEK. Click now to get top trade ideas daily, plus unlimited access to cutting-edge tools and strategies to gain an edge in the markets. Get the latest stock analysis from Benzinga? (AMZN): Free Stock Analysis Report ALPHABET (GOOG): Free Stock Analysis Report This article Hugging Face Co-Founder Challenges AI Optimists: 'Models Can't Ask Original Scientific Questions' originally appeared on © 2025 Benzinga does not provide investment advice. All rights reserved. Se produjo un error al recuperar la información Inicia sesión para acceder a tu portafolio Se produjo un error al recuperar la información Se produjo un error al recuperar la información Se produjo un error al recuperar la información Se produjo un error al recuperar la información

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store