Computers Evolve a New Path Toward Human Intelligence | Quanta Magazine
This is a professional note extracted from an online article.
Read more efficiently
Save what inspires you
IDEA EXTRACTED FROM:
Neuroevolution is a form of artificial intelligence. It is a meta-algorithm, an algorithm for designing algorithms. It adopts the principles of biological evolution in order to design smarter algorithms. Eventually, the algorithms get pretty good at their job.
Traditionally, evolutionary algorithms are used to solve specific problems. For instance, the ability to control a two-legged robot. Solutions that perform the best on some metrics are selected to produce offspring.
In spite of successes, these algorithms are more computationally intensive than approaches such as "deep learning."
It goes beyond traditional evolutionary approaches. It explains innovation. Instead of optimizing for a specific goal, it embraces the creative exploration of a diverse population of solutions.
The steppingstone’s potential can be seen by analogy with biological evolution: feathers likely evolved for insulation and only later became handy for flight.
Biological evolution is the only system to produce human intelligence.
If we want algorithms that can navigate the physical and social world as we do, we need to imitate nature's tactics. Instead of hard-coding for specific metrics, we must let a population of solutions blossom that may discover an indirect path or a set of stepping stones to allow them to evolve better than if they'd received those skills directly.
Pursuing specific goals can be a hindrance to reaching those objectives.
Kenneth Stanley, a computer scientist, hoped to show that by following ideas in interesting directions, algorithms can produce a diversity of results and solve problems. Thus, ignoring an objective can get you to the solution faster than pursuing it. He showed this through an approach named novelty search.
SIMILAR ARTICLES & IDEAS:
As machines become increasingly capable, along with computer memory, power and space being abundantly available, our brains are in a transition phase.
Earlier we had to remember a lot, do cal...
As technology advances and the internet gets dramatically more powerful, the need to retain information in our heads diminishes.
Google and other search engines which deploy AI, work as our 'memory partners' and provide us access to most of the human knowledge.
Our ancestors had a manual 'peer-to-peer' memory network to pass on knowledge to the future generations; it wasn't reliable but worked for a long time.
Now we believe AI is better and more objective to provide us with information, which might not be the case.
one more idea
TikTok is reportedly 500 million users strong. It’s been a while since a new social app got big enough to make nonusers feel they’re missing out from an experience.
TikTok is an app for...
TikTok has stepped over the point between the familiar self-directed feed and experience based on algorithmic observation and inference. When you open the app, you don't see a feed of your friends, but a page called "For You" - It's an algorithmic feed based on videos you've interacted with or just watched.
It's not full of people you know or things you've explicitly told it you want to see. It is constantly learning from you and builds up a model of what you tend to watch. In short, it is like an Instagram centered entirely around its "Explore" tab.
2 more ideas