Why Pet Talking Boards, Meow Translating Collars And Apps Don’t Work

Imagine using a version of Google translate that can only translate every seventh or eighth word without context or tone. Would it be useful at all?

When my cat wants to play he faces me directly, at my level if possible, and leans forward, whiskers relaxed, before screeching at me at loud volume.

When he wants food he doesn’t bother with being level with me. He assumes an aggressive posture, follows me around and tries to get in my path, all before screeching at me at loud volume.

When yums are impending, he also screeches at loud volume, but his face and body language take on an anticipatory posture, and his tail pops straight up.

When he’s not feeling well, he screeches at loud volume and assumes a hunched stance, whiskers pulled back, ears at different angles, often with his tail wrapped protectively around his little body in a sort of uncomfortable version of the classic loaf.

The common element is the loud screeching. An AI-powered app would have a very difficult time telling the difference between a “Feed me now, human!” screech and a “I want to play wand toy hunting games now, human!” screech, and probably wouldn’t fare much better with the “I don’t feel so good” screech. (MeowTalk did, after all, try to convince me that Buddy was serenading me with sweet nothings when he was demanding food.)

Years ago I was bullish about AI’s ability to translate meows. Given enough data, I reasoned, AI could crack the code. But that was a human way of thinking, anthropomorphizing my Bud into a furry little human whose “language” was limited to vocalizations.

It’s not.

No cat limits their communication to meows, trills and chirps, not even a vocal little dude like my Buddy.

Cat communication is multi-modal, consisting of general body language, whisker position, ear position, tail position and movement, pupil expression, fur rigidity, gait, scent-marking, scent-sharing, and for our exclusive benefit, meows. The latter are essentially a second language to them, adopted out of necessity because they realize we respond to vocalizations but are mostly oblivious to everything their tails, whiskers, fur, ears, tails, pheromones and eyes are telling us.

Now who’s supposed to be the intelligent species?

“Dude, why are you so dense? I’m shouting at you with my whiskers, my tail and my meows!”

The fact that feline communication is inherently multi-modal is the reason why talking boards and AI meow translation apps do not work. It’s like using a version of Google translate that only interprets every seventh or eighth word, stripped of all context and tone. Actually, it’s worse than that.

If you’ve spent any time on Facebook, TikTok or Youtube, chances are you’ve come across cat talking boards. They’re even more useless than the AI apps that claim to translate meows because they not only assume feline communication is a single-channel affair, they also place additional burdens on felines, like understanding human language syntax (something no animal has ever been able to do) and highly abstract concepts.

How does a cat know a question is a request for information?

How does a cat understand temporal concepts represented as abstract sounds with nothing that ties those sounds – and the buttons that correspond to them – to concepts like “yesterday,” “tomorrow” and “later”?

Hmmm, something’s off here…

In one video I viewed, a woman convinced herself that her cat’s random slapping of talking board buttons meant he wanted to discuss an animal he’d possibly seen outside a window the night before. The number of assumptions and logical leaps required to arrive at that kind of conclusion is staggering.

I want to be clear that I’m not saying studying animal communication is a futile effort. On the contrary, everything we’ve learned indicates animals – especially our domesticated companion animals and the most cognitively gifted wild species – are not only conscious and cognitive, but have rich inner lives with their own thought processes, opinions, emotions, likes and dislikes.

But cracking those codes is a serious effort that will involve a concerted effort to negate our human bias as much as possible, attempts to see the world from an animal’s perspective, and multi-modal analysis that doesn’t just consider what we can see, hear and smell, but what our pals’ sensoriums can detect.

After all, we know that cats can hear in frequencies we cannot, that they possess a sense of smell as much as 20 times more sensitive than ours. There’s ongoing research into whether animals can detect magnetic fields, and differences in vision — such as perceiving different color tones and a drastically increased sensitivity to motion — mean a very intentional means of communicating by our cat may require the equivalent of a bullhorn for us to pick up on what they’re “saying.”

One day we may learn that they consider us the dim-witted ones who cannot see, hear or smell the obvious. We may get to that point, but not through half-hearted, unscientific efforts like labeled buttons and simple algorithms.

Another Tech Company Wants To Translate Meows And Barks Using AI: Can It Work?

Cats and dogs communicate primarily by scent, touch and body language, but human efforts to understand them have focused exclusively on meows and barks. If we want to truly understand our non-human friends, we need to take an approach that considers the other ways animals “talk” to each other.

A few years ago when MeowTalk made a minor splash in the startup world, I was pretty bullish on its potential to help us understand our cats better.

Sure, the app had an unhelpful habit of attributing improbably loving declarations to Buddy, but I thought it would follow the trajectory of other machine learning models and drastically improve as it accumulated more data.

More users meant the app would record and analyze more meows, chirps and trills, meaning it was just a matter of time before the AI would be able to distinguish between an “I want attention!” meow and a “My bowl is dangerously close to empty!” meow.

Obviously that didn’t happen, and what I personally didn’t take into account back then — and should have, given how obvious it is in retrospect — is that cats don’t just communicate via vocalizations.

In fact, cats don’t normally incorporate vocalizations into communication at all. Pet kitties do it entirely for our benefit because they know we’re generally awful at interpreting body language and we are completely useless when it comes to olfactory information.

It’s actually amazing when you really think about how much of the heavy lifting cats do in our efforts to communicate with each other. They recognize we can’t communicate the way they do naturally, so they try to relate to us on our terms. In return, we meet them less than halfway.

No wonder Buddy sometimes looks frustrated as he meows at me, as if I’m the biggest moron in the world for not understanding the very obvious thing he’s trying to tell me.

“Human, how can you not understand the simple feeling of innerer schweinehund I’m trying to convey here? The cringe is killing me!”

Now the Chinese tech giant Baidu is throwing its hat into the ring after filing a patent in China for an AI system that uses machine learning to decode animal communication and “translate” it to human language.

Machines are designed to process things from a human viewpoint according to human logic, so if Baidu wants to succeed where MeowTalk has not, its engineers will need to take a thoughtful approach with the help of animal behavior experts.

This is a hard problem that encompasses animal cognition, neuroscience, linguistics, biology, biochemistry and even philosophy. If they approach this strictly as a tech challenge, they’ll set themselves up for failure.

Without the information and context clues provided by tails, whiskers, facial expressions, posture, eye dilation, heart rate, pheromones and even fur, an AI system is only getting a fraction of the information cats are trying to convey.

Trying to glean meaning from that is like trying to read a book in which only every fourth or fifth letter is legible. There’s just too much missing information.

Even if we can train machines to analyze sound visual, tactile and olfactory information, it may not be possible to truly translate what our cats are saying to us. We may have to settle for approximations. We’ve only begun to guess at how the world is interpreted differently among human beings thanks to things like qualia and neurodivergence, and the way cats and dogs see the world is undoubtedly more strange to us than the way a neurodivergent person might make sense of reality.

“He grimaced. He had drawn a greedy old character, a tough old male whose mind was full of slobbering thoughts of food, veritable oceans full of half-spoiled fish. Father Moontree had once said that he burped cod liver oil for weeks after drawing that particular glutton, so strongly had the telepathic image of fish impressed itself upon his mind. Yet the glutton was a glutton for danger as well as for fish. He had killed sixty-three Dragons, more than any other Partner in the service, and was quite literally worth his weight in gold.” – Cordwainer Smith, The Game of Rat and Dragon

An animal’s interpretation of reality may be so psychologically alien that most of its communication may be apples to oranges at best. Which is why I always loved Cordwainer Smith’s description of the feline mind as experienced via a technology that allows humans with special talents to share thoughts with cats in his classic short story, The Game of Rat and Dragon.

In the story, humans are a starfaring civilization and encounter a threat in the void between stars that people don’t have the reaction speed to deal with. Cats, however, are fast and swift enough, and with a neural bridge device, teams of humans paired with cats are able to keep passengers safe on interstellar journeys.

The narrator, who is one of the few people with an affinity for teaming up with felines, hopes he’ll be paired with one of his two favorite cats for his latest mission, but instead he’s assigned to partner with an old glutton of a tomcat whose mind was dominated by “slobbering thoughts of food, veritable oceans of half-spoiled fish.”

The narrator wryly notes that the last time one of his colleagues was paired with that particular cat, his burps tasted of fish for weeks afterward. But the cat in question, despite being obsessed with fish, is a badass at killing “dragons,” the human nickname for the bizarre entities that attack human ships in space. (The software that allows felines and humans to link thoughts also portrays the “dragons” as rodents in the minds of the cats, stimulating their ancient predatory drive so they’ll attack instantly when they see the enemy.)

We can’t know for sure if Smith’s interpretation of the feline mind is accurate, but another part rang true when he wrote that cat thoughts were all about the moment, filled with sentiments of warmth and affection, while they rapidly lost interest in thoughts about human concerns, dismissing them “as so much rubbish.”

If the mind of a cat is that relatable, we’ll be incredibly lucky. But in reality we’re dealing with animals who evolved in drastically different ecological niches, with different priorities, motivations, and ways of looking at the world — literally and figuratively.

That doesn’t mean we shouldn’t try to understand our furry friends. Research has yielded interesting information about the way animals like whales and elephants communicate, and AI is at its best when it augments human creativity and curiosity instead of trying to replace it.

Even if we don’t end up with a way to glean 1:1 translations, the prospect of improving our understanding of animal minds is tantalizing enough. We just need to make sure we’re listening to everything they’re saying, not just the meows.

Study: Cats Use Facial Expressions To Reassure Each Other Everything’s Cool During Play Time

Once again, we’ve underestimated cats. There’s so much more to the ways in which they communicate than we realize.

We know cats use non-verbal signals to communicate with each other, but recent research suggests we may just be scratching the surface, glimpsing only a portion of the information that passes between our furry friends.

Cats “talk” to each other by the way they position their tails, whiskers and ears, in addition to their overall body language.

It turns out there’s more. A group of interdisciplinary scientists from universities in Kansas, Arkansas and Haifa, Israel, found cats also employ specific facial expressions, and rapidly mirror each other’s expressions during play time to signal they’ve got good intentions and aren’t going to hurt each other.

The study, which was given the yawn-inducing title “Computational investigation of the social function of domestic cat signals” (in English: using AI to figure out how our house cats “talk” to each other), started with observations of felines playing with each other in cat cafes.

From there, the coders and mathematicians on the team created an algorithm to record and sort the facial expressions the cafe cats used, employing CatFACS (Cat Facial Action Coding System) to associate each expression with its meaning.

“I’m serious. Feed me, or feel my wrath.”

Cats make a surprising number of facial expressions, 276 in total, according to a 2023 study.

The problem is, we humans are terrible at reading them. Even veterinarians trained in CatFACS still struggle to get it right, but happily this is precisely the sort of task algorithmic AI excels at. Like facial recognition software, a well-trained machine learning algorithm can recognize faces and record them more accurately and much faster than any person could.

In a column praising the facial expressions study, evolutionary biologist and Jane Goodall Foundation ethics board member Mark Bekoff said it’s the kind of labor-intensive work that truly advances our understanding of the ways animals communicate.

For cats and their human caretakers, Bekoff notes, it could help us reduce inter-species misunderstandings and make it easier to read our cat’s emotions, so we know when they’re not feeling well or need something.

“There are no substitutes for doing what’s needed to learn about the nitty-gritty details of how animals communicate with one another in different contexts,” Bekoff wrote. “This study of play opens the door for more widespread comparative research focusing on how animals talk to one another.”

“Do I look happy, human?” Credit: Milan Nykodym/Wikimedia Commons

We also know adult cats very rarely meow to each other, and the meow is reserved for cat-to-human communication. Imagine the frustration our little friends must feel when they have so much to tell us, but the only thing we understand are vocalizations — meows, chirps and trills — that can convey only basic ideas at best.

Elephants Call Each Other By Name, Study Says

Elephants encode names and other information in low-frequency rumbles that can be heard miles away. For social animals who live in large herds, it’s crucial to be able to address individuals.

Elephants are famously social animals, moving in matriarchal herds that can consist of as many as 70 of their kind.

They also communicate over long distances, emitting rumbles that can be heard miles away.

Because of their social and nomadic existence, it makes sense that elephants would need a way to single out individuals and address each other, and for the first time researchers say they’ve found evidence of Earth’s largest land animals calling each other by name.

“If you’re looking after a large family, you’ve got to be able to say, ‘Hey, Virginia, get over here!’” Duke University ecologist Stuart Pimm told the Associated Press.

The research involved field work and analysis using artificial intelligence. To record samples of elephants communicating, teams followed herds with recording equipment. Notably, elephant rumbles include sounds in frequencies lower than the human ear can detect.

large elephants near lake
Credit: Pixabay/Pexels

The team paid close attention when one elephant vocalized and another responded, and recorded who initiated each rumble and who it was meant for.

Although elephants are best known for making loud “trumpeting” sounds, experts say those are more like exclamations while rumbles contain encoded information that African savanna elephants would need to communicate to each other.

“The rumbles themselves are highly structurally variable,” said Mickey Pardo, a biologist from Cornell University and co-author of the study. “There’s quite a lot of variation in their acoustic structure.”

A machine learning algorithm was then used to sort and categorize the large number of audio samples, looking for patterns that are difficult for human minds to detect.

“Elephants are incredibly social, always talking and touching each other — this naming is probably one of the things that underpins their ability to communicate to individuals,” said George Wittemyer, an ecologist at Colorado State University and co-author of the study. “We just cracked open the door a bit to the elephant mind.”

elephant-cub-tsavo-kenya-66898.jpeg
A female elephant with her young offspring in Kenya. Credit: Pixabay/Pexels

Notably, the elephant “names” are identifiers that they created for themselves, and are not the kind of human-bestowed names that cats and dogs respond to. The list of animals who have names for themselves is short, although likely to expand with further study. Dolphins, for instance, identify themselves with unique whistling patterns, and parrots have a similar method, but both species address individuals by imitating their calls. Elephants use their name analogs the way humans do, to directly address each other.

The research has the potential to raise public awareness of elephant intelligence and their plight as they face threats to their continued existence. Like almost all of the Earth’s iconic megafauna, elephants will become extinct if we don’t do a better job protecting them and ending the ivory trade. Every year about 20,000 elephants are slaughtered for their tusks to feed the demand for ivory, especially in China where it’s considered a status symbol, according to the World Wildlife Fund.

Yang Feng Glan, known as the”Queen of Ivory,” was sentenced to 15 years in prison by a Tanzanian court in 2019. Yang smuggled some 860 elephant tusks worth $6.5 million from Tanzania to China as the leader of one of the world’s most extensive poaching and ivory smuggling organizations.

During her years operating the smuggling ring, Yang presented herself as a successful businesswoman and ran in elite circles within China, authorities said. Two of her accomplices were also given 15-year sentences for their roles, but since then others have filled the vacuum left by Fang’s conviction, and elephant preserves are constantly under threat from heavily armed poachers.

Foundation Offers $10m For ‘Cracking The Code’ Of Animal Language

Think you can decipher the rhythmic clicks and whistles of dolphins or the grunts and alarm calls of monkeys? A foundation is offering big prizes for progress in communicating with animals.

Looking to prompt renewed efforts at decoding animal communication, a non-profit founded by an investor and a university are offering prizes — including a hefty $10 million — to teams that can figure out what animals are “saying.”

The Coller Dolittle Challenge for Interspecies Two-Way Communication is a collaboration between the Jeremy Coller Foundation and Tel Aviv University. (Yes, it’s named after that Dr. Dolittle.)

Entrants aren’t asked to come up with a Star Trek-like “universal translator” for animals. Rather, the people behind the Coller Dolittle Challenge want to see methods that allow for two-way communication between humans and individual species.

“We are open to any organism and any modality from acoustic communication in whales to chemical communication in worms,” said Yossi Yovel, a professor at Tel Aviv University and co-chairman of the challenge.

The grand prize is a $10 million grant or $500,000 in cash, chosen by the winner, while the Foundation will offer $100,000 prizes each year for the best entries that make significant progress toward communicating with animals. The yearly prizes will be assessed “for significant contributions to decipher, interface or mimic non-human organism communication.”

While it may seem far-fetched — and there are those who believe humans will never be able to fully understand animal communication in proper context — there have been efforts to communicate with and decode the communications of bats, dolphins, whales and some primate species. Scientists have also pushed the boundaries on understanding group communication, such as the coordination involved in avian murmurations.

orangutan on tree
Orangutans have demonstrated the ability to understand abstract concepts, like using money, rudimentary sign language, and have even deceived humans. One orangutan in the 1960s repeatedly escaped his zoo enclosure by hiding a small strip of metal in his mouth and using it to pick a lock. Credit: Klub Boks/Pexels

The organizers believe artificial intelligence will be the tool that ultimately helps crack the communication barrier, but entrants aren’t required to use AI. The technology is incredibly useful for tasks involving pattern recognition and sorting large amounts of data, both of which are important in this kind of work when researchers are tasked with analyzing thousands of audio samples or hundreds of hours of footage.

Alas, we don’t think the foundation will be interested in the Buddinese language, which boasts 327 different ways of demanding food and features a timekeeping and calendar system based on meals and naps. A short trill followed by a series of staccato meows, for example, means “I expect prompt service at salmon o’clock,” while a truncated meow ending with a scoff is used to indicate displeasure when a human napping substrate tosses too much during sleep.

Still, maybe we’ll dress it up to make it look properly academic and give the challenge a try. Those prizes could buy a lot of Roombas!