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Remember anything
How much can we afford to forget, if we train machines to remember? - Gene Tracy | Aeon Ideas
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Safe To Forget
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 calculations on paper, and jog our memories to recall something. More and more of such information isn't processed by our brains anymore and is taken care of by machines.
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Information In Your Head
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.
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Peer-To-Peer Memory Networks
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.
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Merging of AI and 'I'
We may be on to a hybrid platform, an extension of our minds, where neural implants and accelerated access to knowledge can blur the lines between what is inside our mind and in an AI machine.
This fusion of Artificial Intelligence enabled devices and our brains might be the future of information and communication.
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Neuroevolution
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 algor...
Evolutionary algorithms
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."
The steppingstone principle
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.
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An Uncertain Future
- The past decade gave rise to the 'Gig' economy, spawning one-click app-based transactions.
- Artificial Intelligence and automation are further transforming how people live and work.
Future Proof Your Career
Future-proofing your career to stay relevant isn't about learning how to code or going back to college.
It is about having a career plan with a long-term vision, taking into account the current job-market conditions, economic factors, emerging opportunities, personal interests, and family realities.
Shrinking Life Cycle of Jobs
A life cycle of a job is shrinking rapidly, and if you're not re-inventing yourself or pivoting on time, you are rendered out of work sooner than in the past decades.
We need to check our career plan and ask ourselves what skills need to be developed to pursue future opportunities, in this shifting economy.
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Everything Remains In Memory
A recent theory on forgetting states that everything we learn remains in storage inside our memory, but our ability to recall and retrieve that information fades if we do not practice fetch...
Spaced Repetition Learning Systems
Spaced Repetition Time Intervals can be practiced using:
- The Analog spaced Repetition System: Making flashcards or 'boxes' of study material to review daily, weekly or bi-weekly.
- The Digital Method: Use an App like Anki, or SuperMemo.
A New Way To Study
Studying takes too much time, and there is only a limited number of hours. Spaced repetition method uses time intervals and makes you recall more information, using less time.
The spacing effect maximizes learning and your study becomes more efficient and consumes less time.