What Kind Of Intelligence Is Artificial Intelligence? - Deepstash
Survival Tips

Learn more about creativity with this collection

Basic survival skills

How to prioritize needs in survival situations

How to adapt to extreme situations

Survival Tips

Discover 63 similar ideas in

It takes just

11 mins to read

The Intelligence We Build

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 now is really the only kind we know how to build at all — and it is nothing like our own intelligence.

35

540 reads

The gap in AI delivery

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 statistical methods to build associations from data.

Nonetheless, the recent combination of powerful computing and algorithmic advances has led to breakthroughs in natural language recognition, such as ChatGPT, and renewed optimism about the potential of AI.

35

469 reads

A Computer That Could Talk Like A Human

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 important focus was natural language recognition, meaning the ability for a computer to understand words and their combinations (syntax, grammar, and meaning), allowing them to interact naturally with humans. 

33

381 reads

The Gap In AI Delivery

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 algorithmic advances combined to bring us a tool like ChatGPT. But if we look back, we can see a considerable gap between what many hoped AI would mean and the kind of artificial intelligence that has been delivered. The mighty ChatGPT, some argue, is nothing but “autocomplete on steroids”.

32

325 reads

Algorithms, Statistics And Data

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” tests, you have helped create and train some machine learning program. Machine learning sometimes involves deep learning, where algorithms represent stacked layers of networks, each one working on a different aspect of building the associations. 

36

293 reads

The Limits of Machine Intelligence

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 intelligence. Thus, while we should celebrate the accomplishments of AI, we should also acknowledge its limitations and recognize that true machine intelligence may remain beyond our reach for some time.

35

277 reads

The Artificial Intelligence: Prediction

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 in any way the achievements of the AI community, but it underscores how little this kind of intelligence (if it should be called such) resembles our intelligence.

34

253 reads

The Real Intelligence: General Intelligence

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 generalize it to any new situation. It is this flexibility that makes our intelligence “general” and leaves the prediction machines of machine learning looking like they are narrowly focused, brittle, and prone to dangerous mistakes.

35

240 reads

Intelligence Is Not Opaque

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. 

34

223 reads

Reasoning And Associating: Not The Same Thing At All

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 associate, and that is very different. That difference is why approaches rooted in machine learning never produce the kind of General Artificial Intelligence the founders of the field were hoping for.

36

208 reads

The Real Danger: Misidentifying Intelligence

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 our society in ways we cannot escape, we may force ourselves to conform to what they can do, rather than discover what we are capable of. 

38

253 reads

CURATED BY

xarikleia

“An idea is something that won’t work unless you do.” - Thomas A. Edison

CURATOR'S NOTE

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.

stash-superman-illustration

Explore the World’s

Best Ideas

200,000+ ideas on pretty much any topic. Created by the smartest people around & well-organized so you can explore at will.

An Idea for Everything

Explore the biggest library of insights. And we've infused it with powerful filtering tools so you can easily find what you need.

Knowledge Library

Powerful Saving & Organizational Tools

Save ideas for later reading, for personalized stashes, or for remembering it later.

# Personal Growth

Take Your Ideas

Anywhere

Organize your ideas & listen on the go. And with Pro, there are no limits.

Listen on the go

Just press play and we take care of the words.

Never worry about spotty connections

No Internet access? No problem. Within the mobile app, all your ideas are available, even when offline.

Get Organized with Stashes

Ideas for your next work project? Quotes that inspire you? Put them in the right place so you never lose them.

Join

2 Million Stashers

4.8

5,740 Reviews

App Store

4.7

72,690 Reviews

Google Play

Shankul Varada

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.

samz905

Don’t look further if you love learning new things. A refreshing concept that provides quick ideas for busy thought leaders.

Sean Green

Great interesting short snippets of informative articles. Highly recommended to anyone who loves information and lacks patience.

Ashley Anthony

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!

Ghazala Begum

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.

Giovanna Scalzone

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.

Jamyson Haug

Great for quick bits of information and interesting ideas around whatever topics you are interested in. Visually, it looks great as well.

Laetitia Berton

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!

Read & Learn

20x Faster

without
deepstash

with
deepstash

with

deepstash

Access to 200,000+ ideas

Access to the mobile app

Unlimited idea saving & library

Unlimited history

Unlimited listening to ideas

Downloading & offline access

Personalized recommendations

Supercharge your mind with one idea per day

Enter your email and spend 1 minute every day to learn something new.

Email

I agree to receive email updates