UK-based YASA has just built a tiny electric motor that makes Tesla motors look like slackers, and this invention could potentially reshape the future of EVs
A dog’s power output comes from its muscle mass, which for a healthy dog is about 45% of its total body weight. This gives our 28-pound dog roughly 12.57 lbs (or 5.7 kg) of muscle.
Studies of animal muscle show that the peak power output of vertebrate muscle tissue during a short, explosive burst (like a jump or the start of a sprint) is around 100 to 200 watts per kilogram of muscle.
Now we can estimate the dog’s peak power:
Low estimate: 5.7 kg of muscle x 100 W/kg = 570 watts
High estimate: 5.7 kg of muscle x 200 W/kg = 1140 watts
Converting these figures to horsepower (1 horsepower = 746 watts):
Low estimate: 570 W / 746 ≈ 0.76 horsepower
High estimate: 1140 W / 746 ≈ 1.5 horsepower
So, a small 28-pound dog might be able to generate a peak power of around 0.75 to 1.5 horsepower for a very brief moment.
So this YASA motor is somewhere between 670 and 1,340 times more powerful than the dog it’s being compared to in weight. That’s some jaw-dropping power output.
Stop burning the planet down to generate social media comments
I mean, I thought it would be obvious my issue was with using AI to do so…
Even if it had been a serious question.
But, to be fair I was thinking of what a normal.person would be able to parse, and not people who’s critical thinking had already atrophied from offloading to AI.
They probably don’t have any idea what I meant and would need it explicitly spelled out.
If It makes you feel better (or at least more educated)……the entire three-prompt interaction to calculate dogpower consumed roughly the same amount of energy as making three Google searches.
A single Google search uses about 0.3 watt-hours (Wh) of energy. A typical AI chat query with a modern model uses a similar amount, roughly 0.2 to 0.34 Wh. Therefore, my dogpower curiosity discussion used approximately 0.9 Wh in total.
For context, this is less energy than an LED lightbulb consumes in a few minutes. While older AI models were significantly more energy-intensive (sometimes using 10 times more power than a search) the latest versions have become nearly as efficient for common tasks.
For even more context, It would take approximately 9 Lemmy comments to equal the energy consumed by my 3-prompt dogpower calculation discussion.
Lol:
I feel like we’d need peak horsepower output of a small dog to truly understand this.
A dog’s power output comes from its muscle mass, which for a healthy dog is about 45% of its total body weight. This gives our 28-pound dog roughly 12.57 lbs (or 5.7 kg) of muscle.
Studies of animal muscle show that the peak power output of vertebrate muscle tissue during a short, explosive burst (like a jump or the start of a sprint) is around 100 to 200 watts per kilogram of muscle.
Now we can estimate the dog’s peak power:
Converting these figures to horsepower (1 horsepower = 746 watts):
So, a small 28-pound dog might be able to generate a peak power of around 0.75 to 1.5 horsepower for a very brief moment.
So this YASA motor is somewhere between 670 and 1,340 times more powerful than the dog it’s being compared to in weight. That’s some jaw-dropping power output.
Stop burning the planet down to generate social media comments about shit you don’t understand
you made an offhand joke and got mad at him for continuing the joke?
I mean, I thought it would be obvious my issue was with using AI to do so…
Even if it had been a serious question.
But, to be fair I was thinking of what a normal.person would be able to parse, and not people who’s critical thinking had already atrophied from offloading to AI.
They probably don’t have any idea what I meant and would need it explicitly spelled out.
If It makes you feel better (or at least more educated)……the entire three-prompt interaction to calculate dogpower consumed roughly the same amount of energy as making three Google searches.
A single Google search uses about 0.3 watt-hours (Wh) of energy. A typical AI chat query with a modern model uses a similar amount, roughly 0.2 to 0.34 Wh. Therefore, my dogpower curiosity discussion used approximately 0.9 Wh in total.
For context, this is less energy than an LED lightbulb consumes in a few minutes. While older AI models were significantly more energy-intensive (sometimes using 10 times more power than a search) the latest versions have become nearly as efficient for common tasks.
For even more context, It would take approximately 9 Lemmy comments to equal the energy consumed by my 3-prompt dogpower calculation discussion.