This morning, through sheer dumb kuck, I averted unspeakable disaster. And I felt absolutely wonderful for the rest of the day.
There is nothing like a good dose of “nothing terrible happened” to make your whole day!
Because the future has just started
This morning, through sheer dumb kuck, I averted unspeakable disaster. And I felt absolutely wonderful for the rest of the day.
There is nothing like a good dose of “nothing terrible happened” to make your whole day!
Looking at the bookshelf in my office today, I noticed that my 1957 edition of the Encyclopedia Britannica sits right next to two Quest Pro XR headsets that I am charging between uses.
Best juxtaposition ever.
On Labor Day everyone gets to just rest,
Which is good for your health and is all for the best.
Today it’s ok to wake up very late
And spend the day chilling, which feels so great.
Having a day off is really a tonic,
But the naming convention is oxymoronic.
If you were to go back in time, even a little bit, everything would seem weird. That’s because we don’t notice when things change.
By definition, our current day-to-day life is labeled as normal. So we don’t really notice the ways that our life is different from how it used to be.
Case in point: If you were to go back to before March 2020, you would find a world in which pretty much all meetings were in person. To attend a meeting, you needed to show up with your physical body.
Now that we routinely meet over Zoom, we forget how much of a change this is from the very recent past. I now have colleagues around the world with whom I meet to collaborate all the time, and I don’t really think much about it.
Similar radical shifts in reality happened when SmartPhones came out, and before that when libraries started to be replaced, for many purposes, by Wikipedia. To me the most fascinating thing about all this is not the radical shifts themselves, but how quickly we collectively absorb them and then forget that they ever happened.
As far as we know, all intelligence is contained within brains. Some of those brains belong to humans, others belong to dogs or other species. The important point is that we have no evidence that there is any actual intelligence in our Universe outside of the brains of living beings.
I think of this when I see a crowd of people walking around, and I also see around them the manifestation of human intelligence in the form of human made things, be they cars, buildings, clothing, books or smart phones. All of these objects are the result of collective human thought, yet none of those objects possesses any actual intelligence — only brains possess intelligence.
This in turn makes me think of quantum theory. For most of human history, the Universe was thought to be continuous. Solids and fluids were believed to be undifferentiated masses of homogeneous stuff.
Then we learned that matter actually consists of little components called molecules, which are built from still smaller components called atoms. Still later we learned that those atoms are themselves comprised of still smaller particles called electrons, protons and neutrons.
Eventually we learned that even the behavior these elementary particles is discrete in nature, since an elementary particle can exist in only a finite number of quantum states.
All of this reiterates the way intelligence works in the world. We see its manifestation all around us, which creates the illusion that it permeates our world as a sort of continuous property. But in reality, it is entirely contained in relatively tiny things called brains — which collectively hold, as far as we know, all the intelligence in the Universe.
Thirty days has September
That’s very easy to remember
I like it more than thirty one
And now that this month has begun
It’s easy to divide its days
In various and useful ways
Perhaps in groups of two or three
Or five or six — it seems to me
I’m better organized in time
On months whose days are not a prime
I am really looking forward to September.
I find that the trick to effectively teach computer graphics is to create a clear narrative progression from simple to complex. This is not easy, but it can be done.
First I lead the students to creating something very simple. It needs to be something that is easy to implement but also gives them a sense of satisfaction and ownership.
Then we gradually add more capabilities. The important thing is that the student sees the clear effect of everything that they add. Nothing should be left to blind faith.
Gradually the student builds up their system, learning skills and gaining confidence as they go along. At each step it is important to suggest ways they can customize their system, so they get feel true pride of ownership.
Eventually the student has put together a fairly sophisticated system. Each step along the way was manageable, so the student is never overwhelmed by the process.
By the end of the class, students should have the confidence to strike out on their own. Ideally they will go on to create their own unique computer graphics.
I suspect that this approach might also work well for other topics.
Apparently the FAA rules are about to change soon. After that, you will be able to buy your very own personal fly-by-wire helicopter, without needing a full pilot’s license. At least in theory.
“Fly-by-wire” simply means that a computer sits between the controls that you manipulate and the controls that actually fly the vehicle. So if you screw up, you are less likely to crash the helicopter.
Still, you’ll need at least 30 hours of training to be allowed to fly your little civilian helicopter, at $300 of training time per hour. Then again, if you can afford the $188,000 you’ll need to buy one of these things, you won’t miss the $9000 it will cost you to not kill yourself.
When I was a little kid, I really wanted my own little personal helicopter. Now that I am a grownup, I am less sure that I want one.
Still, it’s nice to know that I will soon have the option. At least in theory.
To me, using ChatGPT or MidJourney to create something is somewhat akin to using a camera to take a photograph. It might be useful here to think back to the very dawn of photography.
When photographs first appeared, there was some confusion about authorship. Is it the person taking the picture who is responsible for the photo? Or is it the camera? Or is it the subject posing for the photo — since a photograph is just a faithful copy of its subject?
In time, photography came to be seen as an art form in its own right. People stopped thinking of the camera as some sort of magical thing.
Meanwhile, people started to understand that the artist was the photographer, as opposed the person posing of the picture or the maker of the camera. Taking a good photograph requires making some intelligent aesthetic choices, and it is the photographer who makes those choices.
Analogously, generative AI is creating a sort of copy of reality — albeit a reality that was scraped from many sources. The art resides in the choices made by the person wielding the “camera” to create something new and unique, only in this case the camera is the software being used, and the subject is the data that was gathered by the software.
From this perspective, it makes no sense to talk about an AI creating an original work. Rather, the original work is created by the human being who provides intelligent and creative prompts to the AI.