Learn more about scienceandnature with this collection
Basic survival skills
How to prioritize needs in survival situations
How to adapt to extreme situations
One of the most interesting aspects of machine learning is how opaque it can be. Often it is not clear at all why the algorithms make the decisions they do, even if those decisions turn out to solve the problems the machines were tasked with. This occurs because machine learning methods rely on blind explorations of the statistical distinctions between, say, useful email and spam that live in some vast database of emails. But the kind of reasoning we use to solve a problem usually involves a logic of association that can be clearly explained. Human reasoning is never blind.
MORE IDEAS ON THIS
In this way our AI wonder-machines are really prediction machines whose prowess comes out of the statistics gleaned from the training sets. (While this is oversimplifying the wide range of machine learning algorithms, the gist here is correct.) This view does not diminish...
That difference is the difference that matters. Early AI researchers hoped to build machines that emulated the human mind. They hoped to build machines that thought like people. That is not what happened. Instead, we have learned to build machines that don’t really reason at all. They ass...
If we really want to understand artificial intelligence’s power, promise, and peril, we first need to understand the difference between intelligence as it is generally understood and the kind of intelligence we are building now with AI. That is important, because the kind we are building ...
Over the years, AI went through cycles of optimism and pessimism — these have been called AI “summers” and “winters” — as remarkable periods of progress stalled out for a decade or more. Now we are clearly in an AI summer. A combination of mind-boggling computing power and algori...
Through much of the field’s early years, AI researchers tried to understand how thinking happened in humans, then use this understanding to emulate it in machines. This meant exploring how the human mind reasons or builds abstractions from its experience of the world. An ...
Modern versions of AI are based on what is called machine learning. These are algorithms that use sophisticated statistical methods to build associations based on some training set of data fed to them by humans. If you have ever solved one of those reCAPTCHA “find the crosswalk” ...
That difference may also be why the greatest danger from AI won’t be a machine that wakes up, becomes self-conscious, and then decides to enslave us. Instead, by misidentifying what we have built as actual intelligence, we pose the real danger to ourselves. By building these systems into ...
Machine learning is a remarkable achievement in computer science, but it relies on statistical models that use enormous amounts of data to find patterns and make predictions.
While machines have become increasingly proficient at these tasks, they lack the complexity and nuance of human int...
Despite significant progress in artificial intelligence (AI) research and development, there remains a gap between the potential of AI and the reality of what has been delivered.
While early AI researchers sought to emulate human thinking, modern AI is based on machine learning, which uses...
Human minds are so much more than prediction machines. What really makes human beings so potent is our ability to discern causes. We do not just apply past circumstances to our current circumstance — we can reason about the causes that lay behind the past circumstance and general...
“An idea is something that won’t work unless you do.” - Thomas A. Edison
Machine learning is coming of age, and it is a remarkable and even beautiful thing. But we should not mistake it for intelligence, lest we fail to understand our own.
Ready for the next level?
Read Like a Pro
Explore the World’s
Save ideas for later reading, for personalized stashes, or for remembering it later.
# Personal Growth
Take Your Ideas
Just press play and we take care of the words.
No Internet access? No problem. Within the mobile app, all your ideas are available, even when offline.
Ideas for your next work project? Quotes that inspire you? Put them in the right place so you never lose them.
2 Million Stashers
Great interesting short snippets of informative articles. Highly recommended to anyone who loves information and lacks patience.
This app is LOADED with RELEVANT, HELPFUL, AND EDUCATIONAL material. It is creatively intellectual, yet minimal enough to not overstimulate and create a learning block. I am exceptionally impressed with this app!
Best app ever! You heard it right. This app has helped me get back on my quest to get things done while equipping myself with knowledge everyday.
Don’t look further if you love learning new things. A refreshing concept that provides quick ideas for busy thought leaders.
Even five minutes a day will improve your thinking. I've come across new ideas and learnt to improve existing ways to become more motivated, confident and happier.
Brilliant. It feels fresh and encouraging. So many interesting pieces of information that are just enough to absorb and apply. So happy I found this.
I have only been using it for a few days now, but I have found answers to questions I had never consciously formulated, or to problems I face everyday at work or at home. I wish I had found this earlier, highly recommended!
Great for quick bits of information and interesting ideas around whatever topics you are interested in. Visually, it looks great as well.
Read & Learn
Access to 200,000+ ideas
Access to the mobile app
Unlimited idea saving & library
Unlimited listening to ideas
Downloading & offline access
Claim Your Limited Offer
Get Deepstash Pro
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates