Is OpenAI's GPT3 good enough to fool the general population? / The world's largest scale Turing Test Computer Science |
- Is OpenAI's GPT3 good enough to fool the general population? / The world's largest scale Turing Test
- Remote Heart Rate Detection using Webcam and 50 Lines of Code
- Why is Recompiling Problematic?
- What are the process states in Unix/Linux?
- What are terms to call pieces in syntax and in semantics in a programming language?
- Easy basic databases?
- Is “paradigm” a word with meaning in syntax or semantics of programming languages?
- [N] Google & JHU Paper Explores and Categorizes Neural Scaling Laws
- Hello! Is this a tech support place? If so, my dad wants to know how to install a program named Opera on our family computer. Thanks!!!
- State of the art in GANs for Image Editing!
- Jansson json_dumps and json_loads Functions in C++ | CPP Secrets
Is OpenAI's GPT3 good enough to fool the general population? / The world's largest scale Turing Test Posted: 19 Feb 2021 02:48 AM PST I finally managed to get access to GPT3 🙌 and am curious about this question so have created a web application to test it. At a pre-scheduled time, thousands of people from around the world will go on to the app and enter a chat interface. There is a 50-50 chance that they are matched to another visitor or GPT3. Through messaging back and forth, they have to figure out who is on the other side, Ai or human. What do you think the results will be? A key consideration is that rather than limiting it just to skilled interrogators, this project is more about if GPT3 can fool the general population so it differs from the classic Turing Test in that way. Another difference is that when matched with a human, they are both the "interrogator" instead of just one person interrogating and the other trying to prove they are not a computer. [link] [comments] |
Remote Heart Rate Detection using Webcam and 50 Lines of Code Posted: 18 Feb 2021 11:06 AM PST |
Why is Recompiling Problematic? Posted: 19 Feb 2021 02:48 AM PST I'm a college student, so I know that compiling code can take a few seconds, but I still don't really understand why my professors make it seem like having to recompile is such a big issue in industry. I guess it's because practical programs can be very long and have many modules strung together? Can this lead to minutes or hours of compiling? Even if compile time is a few seconds, is it still problematic because users want things fast? [link] [comments] |
What are the process states in Unix/Linux? Posted: 19 Feb 2021 03:22 AM PST |
What are terms to call pieces in syntax and in semantics in a programming language? Posted: 18 Feb 2021 05:29 AM PST Is it correct that
So is it correct that a programming language has a mapping which maps each piece in its syntax to a piece in its semantics (meanings)? I am a bit loss in terminology. What are the terms for i.e. what do you call
Is a language construct exactly a piece in a syntax? Is the form of a function in C or Lisp a language construct? Is a language feature exactly a set of pieces in a semantics? Is the ability of C or Lisp to provide syntactic way to represent functions (which I mean a meaning) a language feature? Thanks. [link] [comments] |
Posted: 18 Feb 2021 08:44 PM PST I've been making some spreadsheets for notes on programming or CLI stuff and I was thinking it might be better to have a database or whatever instead of having like a dozen lines of switches for a command in a single cell. But I have no idea about anything to do with databases. I figured I'd learn sql eventually but for now is there an easy GUI based way to set this up? [link] [comments] |
Is “paradigm” a word with meaning in syntax or semantics of programming languages? Posted: 18 Feb 2021 10:19 AM PST I heard that there are different paradigms of programming languages.
The same question reappear when I read https://en.wikipedia.org/wiki/Model_of_computation, where there are sequential, functional, and concurrency models of computation.
Thanks. [link] [comments] |
[N] Google & JHU Paper Explores and Categorizes Neural Scaling Laws Posted: 18 Feb 2021 09:22 AM PST A research team from Google and Johns Hopkins University identifies variance-limited and resolution-limited scaling behaviours for dataset and model size in four scaling regimes. Here is a quick read: Google & JHU Paper Explores and Categorizes Neural Scaling Laws The paper Explaining Neural Scaling Laws is on arXiv. [link] [comments] |
Posted: 18 Feb 2021 09:21 PM PST |
State of the art in GANs for Image Editing! Posted: 18 Feb 2021 01:45 PM PST |
Jansson json_dumps and json_loads Functions in C++ | CPP Secrets Posted: 18 Feb 2021 07:08 AM PST |
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