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But does Aristos capabilities imply AI has learned to reason like humans?

There seems to be some confusion on this.

This AI can pass an 8th grade science exam — but is it really ‘learning’ science?

As with every advance in AI, Aristos achievement was met with much hype and sensation.

The Weeks story is titled, Artificial intelligence is now as smart as an 8th grader.

Interestingly, the creators of Aristo dont make such claims.

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Deep learningbased language models can perform a wide range of tasks such as translation, question-answering and auto-complete.

Finally, you must have a notion of what a substance is.

This is an excerpt from one of the pages the search engine has indexed.

aristo ai tuple inference solver

An example of an efficient question-answering AI system was IBM Watson, which defeated human champions at Jeopardy!

This means a decent language with enough horsepower would be able to find their answers.

Theres a lot of significance in this little detail.

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First, diagrams and images present many challenges to AI algorithms and require them to perform complicatedcomputer vision tasks.

Also, limiting the problem to answering multiple-choice questions simplifies the problem considerably.

All the limitations posed on the testing system highlightthe limits of current AI models.

But the AI could only play one of three races and on a limited number of maps.

The slightest change to the conditions would significantly degrade its performance.

How does Aristo answer science questions?

Contrary to what some reporters have alluded to, Aristo is not reasoning like a high-school student.

But it is nonetheless an interesting composition of different AI techniques, including deep learning.

Collectively, the different parts that constitute Aristo move the needle of AI-powered question-answering by good notch.

Aristo also has a large corpus of knowledge of 10 large datasets, spanning across approx.

Both are deep learning models trained on very large corpora of text.

According to the authors, We apply BERT to multiple choice questions by treating the task as classification.

Interestingly, classification is exactly what deep learning is very good at.

Does Aristo compare to human intelligence?

Neural networks have no inherent idea of magnitude or of time.

There are other ways Aristos knowledge of different concepts can be put to test.

(1) magnet (2) filter paper (3) triple-beam balance (4) voltmeter?

Aristo correctly chooses magnet as the answer.

Can you use a magnet to separate them?

That is to say: Its impressive in its way.

But he didnt actually know arithmetic; and theres no reason to think that Aristo actually understands science.

No, not at all.

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