toad.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
Mastodon server operated by David Troy, a tech pioneer and investigative journalist addressing threats to democracy. Thoughtful participation and discussion welcome.

Administered by:

Server stats:

240
active users

#acceleration

1 post1 participant0 posts today
Replied in thread

@schratze #WellActually

3000 RPM is exactly the middle of the range of a standard consumer car #engine. And for combustion engines it's where they are the most efficient in terms of horsepower over fuel consumption. You don't want to put any load, even moderate acceleration on your engine at low #RPM, which is basically idling.

See. You want to accelerate, ok, moderately, but still to accelerate. You need some amount of energy for that. The energy comes from burning fuel, nothing else. So, to accelerate at a certain rate you need some volume of fuel. Now, lets shift gears the way so the engine keeps low RPM, let's say 1500 RPM, the half of 3000 to simplify the math. At 1500 it will make half the strokes per second than at 3000. But you still have to pour the same amount of fuel per second to keep up with the acceleration. So the engine is forced to burn twice as much fuel per stroke. That means more compression in the cylinder, more stress on moving parts, more heat. And more heat means more energy lost into the environment. So no, accelerating even moderately at low RPM is not efficient. That's why automatic #transmissions are configured to rev up when #acceleration is requested.

3000 RPM is louder, yes. But in this mode the engine mostly blows air through its cylinders if the load is moderate. It produces relatively less heat because it burns less fuel per stroke. Also when the transmission is on lower gear the engine endures less stress.

So, no, it's not a scream. It's a song :)

PS: Very high RPM, like at 6000 is also not most efficient but it's used for max #horsepower the engine can produce when needed (Sports Mode).

1/2 Notes on #UAP Discussions : Researchers, academics and students engage in speculative exercises as part of the learning process. This is not speculation in the realm of fantasy or imagination.
In the case of putative UAP propulsion systems there are priors on observations that suggest for instance that vehicle #Levitation and #Acceleration may be two separate phases powered by two different mechanisms.Obviously we don’t know, but it is likely that a retrieval and reverse engineering program-

"The only thing we know for certain about Al is that we don't know exactly where we are going, but we are making great time." - Futurist Jim Carroll

My book Dancing in the Rain features a list of 30 Megatrends. Some folks asked me to expand on them, so I'm starting a new series today.
The first one, AI, obviously doesn't need a lot of explanation.

It's big.

It's fast.

It's not going away.

It's going to impact your life one way or the other.

It's going to have as profound an impact as the Internet has had, both good and bad.

People will endlessly debate about where it will take us.

Some are excited, many are terrified, many are both.

And the sophistication of what we can do continues to accelerate at a ridiculous rate.

As do the risks and the downside.

Ok, so with that out of the way, here's a bit more to think about. First, AI is not some weird futuristic concept - it's a pervasive reality that has already been rapidly transforming our world. I took the liberty of taking one of my recent AI keynotes and had it summarized by Google Gemini. I then fed this to gamma.app - and Megatrends#1 of how it summarized my work.

The first thing to think about is that from the seemingly mundane to the profoundly complex, AI is already deeply embedded in our daily lives. Take a look around your world - you have::

Wearable fitness trackers analyzing your exercise patterns
Chatbots that instantly answer your questions
Shopping sites recommending products based on your past purchases
Security cameras recognize unfamiliar faces or objects
Music apps creating personalized playlist recommendations
Email services categorize messages and filter spam

And that's just the tip of the iceberg. AI already powers everything around you, from autonomous vehicles and computer vision to natural language processing and virtual assistants. Algorithms are the unseen force behind Fitbits, Apple Health, Predictive Insurance, and just about everything else. In some industries - healthcare, for example - the 'algorithm' does a better job of interpreting critical data than humans do.

But that's not the key thing to think about - it's how quickly all of this is moving. It's the acceleration of everything having to do with AI that we need to think about. The explosion of AI into public consciousness isn't truly sudden. It's the result of several exponential trends converging:
Continuation of Moore's Law: The number of transistors on microchips doubles every two years, leading to ever-increasing processing power.
Collapsing Training Costs: The cost to train AI systems has plummeted dramatically. For example, the cost to train an AI system for image recognition dropped from $112.64 in 2017 to $4.50 in 2021. It's even less today.

It promises to change everything, and if we can adapt, learn, and responsibly innovate, THAT will determine our future in this rapidly evolving landscape.

As I said, we don't know where we are going but we sure are making great time!

#AI #Intelligence #Acceleration #Innovation #Technology #Transformation #Future #Automation #Learning #Opportunities

Original post: jimcarroll.com/2025/06/decodin