WolframAlpha: A Magical Knowledge Engine

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Discussion Overview

The discussion revolves around the capabilities and limitations of Wolfram|Alpha, a computational knowledge engine. Participants explore its potential as a tool for answering questions in various domains, including mathematics, science, and general knowledge. The conversation includes both technical aspects and user experiences with the system.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants express excitement about Wolfram|Alpha's potential to integrate vast amounts of data and provide answers to natural language queries.
  • Others question the credibility of reports about Wolfram|Alpha due to a lack of detailed information from Wolfram.
  • A participant notes that while Wolfram|Alpha may not know everything, it can provide specific answers to well-defined questions, such as differential equations.
  • Concerns are raised about the system's limitations in understanding more complex or vague queries, with examples of unsatisfactory responses to questions about differential equations and general concepts.
  • Some users highlight the system's ability to generate graphs and visual data representations, which they find impressive.
  • There is a discussion about the balance between handcoded responses and dynamically generated information, with some participants expressing hope for the latter.
  • Critiques are made regarding the hype surrounding Wolfram|Alpha, with some feeling that it does not live up to expectations for conversational AI or comprehensive knowledge.

Areas of Agreement / Disagreement

Participants generally express mixed feelings about Wolfram|Alpha, with some appreciating its capabilities while others remain skeptical about its effectiveness and the extent of its knowledge. No consensus is reached regarding its overall utility or performance.

Contextual Notes

Limitations noted include the system's struggle with vague or complex queries, reliance on specific question formats for optimal responses, and varying user experiences with the quality of information provided.

Who May Find This Useful

This discussion may be of interest to users exploring computational knowledge engines, educators seeking tools for teaching mathematics and science, and individuals curious about the capabilities of AI in answering complex queries.

  • #121


Coin said:
I think it is valid formatting, Elish is trying to describe an integral of a function f where f is not presently known. The problem is whether it can interpret what you are trying to say. If you tell it "int f(x) dx" it correctly understands you are trying to describe an integral, it then presents the integral back to you and says "I don't know how to solve this", a totally sensible behavior. If you add the "from 0 to 1" back in though it just doesn't know how to interpret what you're saying at all. It would be unreasonable to expect something like wolfram alpha to be able to figure out any crazy thing you type in, but if "int f(x) dx" is valid syntax and "int sin(x) dx from 0 to 1" is valid syntax then why not "int f(x) dx from 0 to 1"?

The formatting itself I suppose is valid, but do we really need to ding WA for not properly displaying an input which has no solution?
 
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  • #123


Coin said:
But if you have to learn to phrase the question in a particular idiosyncratic way, then we're back to just having a computational engine which can answer queries if you learn the syntax. We already had engines like that; for example, *mathematica*!

I agree with all of your points, in general, Coin, including the above, but one nice thing about Wolfram Alpha is that a) it gives one "contextual clues" along the way about how to "ask it the right way," and b) personally speaking, it is a Godsend for the mathematically curious without proper formal training.

If I were a professional in one of the mathematically oriented sciences, I don't think I would be overly impressed with Wolfram Alpha, but as a non-professional, I view it as a vast improvement over, say, the Google Calculator.

A small case in point: Via trial and error I know that (Golden Ratio)^30 and (phi)^30 bring up very different results. That tells me a lot about "phi" as a "variable" vs. "phi" as a "number." And that's something I can build on.

Another (general) case in point: By presenting mathematical information in many ways of a piece, it gives one several "paths" by which to "connect" to the information presented. e.g. Even if one had never heard of Taylor Series, one could intuitively learn about them in principle just by inputting e^(-phi^2).Raphie
 
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