Is Google's Chatbot BARD Failing in Public Testing?

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In summary, Google's chatbot BARD, which is a rival to Microsoft and C3.ai's chatbot GPT, has been struggling in public testing. It has been giving incorrect answers to astronomy-related questions and has been getting a lot of math questions wrong, even when multiple-choice answers were provided. BARD also struggles with written language tests and often needs to be asked questions twice to understand them. However, it does perform better on reading tests and when asked language-based questions. However, it has also been shown to give nonsensical answers when asked about niche subjects. Additionally, BARD deliberately scrubs datasets of authorship information and personal information, making it unreliable and untrustworthy in its current state.
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kyphysics
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After an inauspicious debut by Google last month (Feb. 8th), where BARD (Alphabet's rival chatbot to Microsoft/C3.ai's Chat GPT) gave an incorrect answer to an "astronomy-related" question, BARD again seems to flop with its abilities in public testing the past week:
https://fortune.com/2023/03/28/google-chatbot-bard-would-fail-sats-exam/

Fortune sourced practice SAT math questions from online learning resources and found that Bard got anywhere from 50% to 75% of them wrong—even when multiple-choice answers were provided.

Often Bard gave answers which were not even a multiple-choice option, though it sometimes got them correct when asked the same question again. . .

Bard’s first written language test with Fortune came back with around 30% correct answers, often needing to be asked the questions twice for the A.I. to understand.

Even when it was wrong, Bard’s tone is confident, frequently framing responses as: “The correct answer is”—which is a common feature of large language models.

The more Bard was asked language-based questions by Fortune—around 45 in total—the less frequently it struggled to understand or needed the question to be repeated.

On reading tests, Bard similarly performed better than it did in math—getting around half the answers correct on average.
 
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No idea about math problems, but in my experience the best way to make AI hallucinate is to ask a question on some niche subject, that is discussed only in some obscure sources. As you probably don't know I am author of the first commercial Polish video game, Puszka Pandory (Pandora's Box), for ZX Spectrem. That was in 1986, so the sources are scarce, but they do exist. We were playing with ChatGPT last week and for fun asked about the game. Before we got bored ChatGPT listed at least four different authors, each time starting with "I am sorry, you are right I was wrong, the correct answer is XXXX". It never named me as the author :biggrin:

That was in Polish, I suppose if you will ask about details of something like FIDO net technology or BBS software it will give similarly nonsensical answers.
 
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  • #3
Borek said:
No idea about math problems, but in my experience the best way to make AI hallucinate is to ask a question on some niche subject, that is discussed only in some obscure sources. As you probably don't know I am author of the first commercial Polish video game, Puszka Pandory (Pandora's Box), for ZX Spectrem. That was in 1986, so the sources are scarce, but they do exist. We were playing with ChatGPT last week and for fun asked about the game. Before we got bored ChatGPT listed at least four different authors, each time starting with "I am sorry, you are right I was wrong, the correct answer is XXXX". It never named me as the author :biggrin:

That was in Polish, I suppose if you will ask about details of something like FIDO net technology or BBS software it will give similarly nonsensical answers.

It may not be a good test to check authorship errors because they deliberately scrub datasets of authorship information and personal information, to an extent. They want to avoid legal issues pertaining to privacy, copyright/attribution, defamation, or whatever else.
 
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Jarvis323 said:
It may not be a good test to check authorship errors because they deliberately scrub datasets of authorship information and personal information, to an extent. They want to avoid legal issues pertaining to privacy, copyright/attribution, defamation, or whatever else.
It is perfectly good test to prove why GPT in its current state is unreliable and can't be trusted.
 

FAQ: Is Google's Chatbot BARD Failing in Public Testing?

Is BARD's performance worse than expected?

Yes, early reports indicate that BARD's performance has not met expectations in certain areas, particularly in providing accurate and relevant responses to user queries. This has raised concerns about its readiness for public deployment.

What are the main issues users are experiencing with BARD?

Users have reported issues such as incorrect answers, lack of context understanding, and occasional nonsensical responses. These problems suggest that BARD's natural language processing and comprehension capabilities may need further refinement.

How is Google responding to the criticism of BARD?

Google has acknowledged the issues and stated that they are committed to improving BARD. They are actively collecting user feedback and working on updates to enhance the chatbot's accuracy and reliability.

Is BARD still in development?

Yes, BARD is still under development. The current public testing phase is part of Google's iterative process to identify and fix issues before a full-scale launch. Continuous improvements are expected as the testing progresses.

Can BARD's issues be fixed?

While the issues are significant, they are not insurmountable. With ongoing development, user feedback, and advancements in AI technology, it is likely that Google will be able to address the problems and improve BARD's performance over time.

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