Yann LeCun Just Raised $1 Billion to Build AI That Understands the Real World!

Read time: 2.5 minutes

Why This AI Revolution Needs A Closer Look

1️⃣ The Nature of Current AI
Current AI technologies are primarily built using text-based data, rather than understanding how the world actually works.
Solution: Move towards real-world models that learn to recognise and understand cause-and-effect relationships.

2️⃣ Physical World Knowledge
When artificial intelligence understands how to reason and make decisions based upon real-world experience, robotics and automation are possible;
Solution: Integrate simulations and learn through experience; the need to understand has been reduced.

3️⃣ Language does not equate to Intelligence
While the ability of an AI to produce fluently written answers shows that it can read, write, and respond at the same level as humans, becoming an intelligent entity requires logic and reasoning.
Solution: The process of producing a logical response will reduce the need to produce an accurate response.

4️⃣ The AI Battleground of the Future
The competition for larger AI will become the future battleground for who has a greater understanding of the world around us.
Solution: Construction and manufacturing organizations must invest in developing alternative models outside of those currently available.

5️⃣ The Influence of AI Has an Impact on all Sectors
Industries such as manufacturing, logistics, and healthcare rely on real-world intelligence to be successful.
Solution: Use AI for physical systems, in addition to digital effort.

💡Key Takeaway: 

The next generation of AI won't be the best conversationalist. It will be the best at anticipating outcomes because the true definition of intelligence isn't in language but in how the world actually behaves.