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<p><font size="5">I find myself using either MS Chat or Google Bard
as they offer new content.</font></p>
<p><font size="5">Still wouldn't write a paper with them. An
outline, yes.<br>
</font></p>
<p><font size="5">Command line syntax questions in Windows/Linux
have been very accurate and helpful in Chat.</font></p>
<p><font size="5">MS is rapidly integrating AI into Windows 11, and
Office. It will soon be a piece of cake for somebody who does
not know how to generate charts and graphs in Microsoft Excel to
do so easily.</font></p>
<p><font size="5">Some companies are beginning to ban chat GPT for
their employees. I think they believe it's no different than
using Facebook while at work. Programmers that work for these
companies are frustrated because they've been using ai to check
their code and run tests, and now their bosses are telling them
they're not allowed to.</font></p>
<p><font size="5"><br>
</font></p>
<p><font size="5"><br>
</font></p>
<p><br>
</p>
<div class="moz-cite-prefix">On 6/24/2023 12:07 PM, Robert Primak
wrote:<br>
</div>
<blockquote type="cite"
cite="mid:218323105.3469503.1687622847313@mail.yahoo.com">
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<div class="ydpebc6f944yahoo-style-wrap"
style="font-family:Helvetica Neue, Helvetica, Arial,
sans-serif;font-size:13px;">
<div dir="ltr" data-setdir="false">The paradigm of an "<span>AI
model they’d trained themselves that looks for telltale
signals of ChatGPT output" has been proven time and time
again to spew out false-positives. College professors have
lost their jobs for making unsubstantiated accusations and
penalizing students for allegedly using AI or ChatGPT when
in fact the students came back with notes and drafts proving
definitively that their work was original and not generated
by AI. An "accuracy rate" which allows for up to 40%
false-positives does not encourage placing any faith in AI
models which claim to be able to detect AI produced content.
The Swiss team was either lying, or else they were deceiving
themselves. Put succinctly, AI can never definitively detect
AI.</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span>Nevertheless, there is
a very real possibility that at least some LLMs are reusing
data sets which were supplied with the help of AI models.
The models might very well be feeding upon their own errors.
And this does pose a real threat to the integrity of the
information presented as output by all LLMs. How LLMs and
other AI are trained does influence their behaviors when
they are put into use.</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span>Outsourcing any part of
AI training does run the risk that the gig workers involved
will take every shortcut they can to generate the illusion
that they are producing more finished work in a shorter time
interval. Gig workers are notorious for doing everything
they can to avoid doing any real work.</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span>The obvious solution is
this: Pay qualified people to do the training work under the
watchful eyes of in-house research staff. It's a lot more
expensive, but this is the only way to make sure no one is
taking thee easy way out and endangering the integrity of
the entire project. When you take shortcuts in technology
development, it is your end-users who invariably pay the
price. </span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span>-- Bob Primak </span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div dir="ltr" data-setdir="false"><span><br>
</span></div>
<div><br>
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<div id="yahoo_quoted_7828991126" class="yahoo_quoted">
<div style="font-family:'Helvetica Neue', Helvetica, Arial,
sans-serif;font-size:13px;color:#26282a;">
<div> On Saturday, June 24, 2023 at 11:43:34 AM EDT,
<a class="moz-txt-link-abbreviated" href="mailto:jjrudy1@comcast.net">jjrudy1@comcast.net</a> <a class="moz-txt-link-rfc2396E" href="mailto:jjrudy1@comcast.net"><jjrudy1@comcast.net></a> wrote: </div>
<div><br>
</div>
<div><br>
</div>
<div>
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<div class="yiv3946723560WordSection1">
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
style="font-size:12.0pt;font-family:inherit,
serif;color:#111111;text-transform:uppercase;"><a
rel="nofollow noopener noreferrer"
target="_blank"
href="https://www.technologyreview.com/topic/artificial-intelligence/"
moz-do-not-send="true"><b><span
style="font-family:Courier
New;color:white;border:none windowtext
1.0pt;padding:0in;text-decoration:none;">ARTIFICIALThis
is scary INTELLIGENCE</span></b></a></span></p>
<h1
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;margin:0px;outline:0px;"><span
style="font-family:Arial, sans-serif;color:white;">paid
to train AI are outsourcing their work… to AI</span></h1>
<p
style="margin:0in;vertical-align:baseline;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;outline:0px;"><b><span
style="font-size:18.0pt;font-family:inherit,
serif;color:white;border:none windowtext
1.0pt;padding:0in;">It’s a practice that could
introduce further errors into already
error-prone models.</span></b><span
style="font-size:18.0pt;font-family:inherit,
serif;color:white;"></span></p>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
class="yiv3946723560bylineby--3i70z"><b><span
style="font-size:15.0pt;font-family:inherit,
serif;color:white;border:none windowtext
1.0pt;padding:0in;">By </span></b></span><b><span
style="font-size:12.0pt;font-family:Arial,
sans-serif;color:white;"></span></b></p>
<ul style="margin-top:0in;" type="disc">
<li
style="color:white;margin-top:0in;margin-bottom:0in;vertical-align:baseline;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;outline:0px;display:inline-block;"
class="yiv3946723560bylineauthor--g26rn"><b><span
style="font-size:15.0pt;font-family:inherit,
serif;"><a rel="nofollow noopener noreferrer"
target="_blank"
href="https://www.technologyreview.com/author/rhiannon-williams/"
moz-do-not-send="true"><span
style="border:none windowtext
1.0pt;padding:0in;text-decoration:none;">Rhiannon
Williams</span><span
class="yiv3946723560screen-reader-text"><span
style="color:blue;border:none windowtext
1.0pt;padding:0in;text-decoration:none;">archive
page</span></span></a></span></b></li>
</ul>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
style="font-size:12.0pt;font-family:Arial,
sans-serif;color:white;">June 22, 2023</span></p>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
style="font-size:12.0pt;font-family:inherit,
serif;color:#111111;border:none windowtext
1.0pt;padding:0in;"><img
style="width:22.0in;min-height:12.3802in;"
id="yiv3946723560Picture_x0020_3"
src="cid:Vqf8OfFIWa4nXH9z7UMS"
yahoo_partid="1.2" alt="anonymous workers at a
conveyor belt and strings of words flow out one
end" moz-do-not-send="true" width="2112"
height="1189" border="0"></span><span
style="font-size:12.0pt;font-family:inherit,
serif;color:#111111;border:none windowtext
1.0pt;padding:0in;"></span></p>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
class="yiv3946723560imagecredit--1fj0h"><span
style="font-size:12.0pt;font-family:inherit,
serif;color:#616568;text-transform:uppercase;letter-spacing:.75pt;border:none
windowtext 1.0pt;padding:0in;">STEPHANIE
ARNETT/MITTR | GETTY</span></span><span
style="font-size:12.0pt;font-family:inherit,
serif;color:#111111;"></span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">A significant
proportion of people paid to train AI models may
be themselves outsourcing that work to AI, a new
study has found. </span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">It takes an incredible
amount of data to train AI systems to perform
specific tasks accurately and reliably. Many
companies pay gig workers on platforms like <a
rel="nofollow noopener noreferrer"
target="_blank"
href="https://www.technologyreview.com/2020/12/11/1014081/ai-machine-learning-crowd-gig-worker-problem-amazon-mechanical-turk/"
moz-do-not-send="true"><span style="border:none
windowtext 1.0pt;padding:0in;">Mechanical Turk</span></a> to
complete tasks that are typically hard to
automate, such as solving CAPTCHAs, labeling data
and annotating text. This data is then fed into AI
models to train them. The workers are poorly paid
and are often expected to complete lots of tasks
very quickly. </span></p>
<div style="border:none;border-top:solid black
1.0pt;padding:0in 0in 0in 0in;">
<h2
style="vertical-align:baseline;border:none;padding:0in;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-right-color:initial;border-bottom-color:initial;border-left-color:initial;font-style:inherit;font-variant:inherit;font-stretch:inherit;line-height:inherit;padding:0px
0px;outline:0px;"><span
style="font-family:inherit,
serif;color:#111111;">Related Story</span></h2>
</div>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><a rel="nofollow
noopener noreferrer" target="_blank"
href="https://www.technologyreview.com/2023/04/04/1070938/we-are-hurtling-toward-a-glitchy-spammy-scammy-ai-powered-internet/"
moz-do-not-send="true"><span
style="font-size:10.5pt;font-family:inherit,
serif;color:blue;border:none windowtext
1.0pt;padding:0in;text-decoration:none;"><img
style="width:22.0in;min-height:12.3802in;"
id="yiv3946723560Picture_x0020_2"
src="cid:5aW0omu0H7MBAAXnOjAQ"
yahoo_partid="1.3" alt=""""
moz-do-not-send="true" width="2112"
height="1189" border="0"></span></a><span
style="font-size:10.5pt;font-family:inherit,
serif;color:#111111;"></span></p>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
style="font-size:10.5pt;font-family:inherit,
serif;color:#111111;"><a rel="nofollow noopener
noreferrer" target="_blank"
href="https://www.technologyreview.com/2023/04/04/1070938/we-are-hurtling-toward-a-glitchy-spammy-scammy-ai-powered-internet/"
moz-do-not-send="true"><b><span
style="font-size:11.0pt;font-family:Calibri,
sans-serif;border:none windowtext
1.0pt;padding:0in;"></span></b></a></span></p>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><b><u><span
style="font-size:10.5pt;font-family:inherit,
serif;color:blue;border:none windowtext
1.0pt;padding:0in;"><a rel="nofollow noopener
noreferrer" target="_blank"
href="https://www.technologyreview.com/2023/04/04/1070938/we-are-hurtling-toward-a-glitchy-spammy-scammy-ai-powered-internet/"
moz-do-not-send="true"><span
style="color:blue;">We are hurtling toward
a glitchy, spammy, scammy, AI-powered
internet</span><span
style="font-size:11.0pt;font-family:Calibri,
sans-serif;color:windowtext;border:none;font-weight:normal;text-decoration:none;"></span></a></span></u></b></p>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
style="font-size:10.5pt;font-family:inherit,
serif;color:#111111;"> </span></p>
<p
style="margin:0in;vertical-align:baseline;font-style:inherit;font-variant:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;outline:0px;"><span
style="font-size:10.5pt;font-family:inherit,
serif;color:#111111;">Large language models are
full of security vulnerabilities, yet they’re
being embedded into tech products on a vast scale.</span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">No wonder some of them
may be turning to tools like ChatGPT to maximize
their earning potential. But how many? To find
out, a team of researchers from the Swiss Federal
Institute of Technology (EPFL) hired 44 people on
the gig work platform Amazon Mechanical Turk to
summarize 16 extracts from medical research
papers. Then they analyzed their responses using
an AI model they’d trained themselves that looks
for telltale signals of ChatGPT output, such as
lack of variety in choice of words. They also
extracted the workers’ keystrokes in a bid to work
out whether they’d copied and pasted their
answers, an indicator that they’d generated their
responses elsewhere.</span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">They estimated that
somewhere between 33% and 46% of the workers had
used AI models like OpenAI’s ChatGPT. It’s a
percentage that’s likely to grow even higher as
ChatGPT and other AI systems become more powerful
and easily accessible, according to the authors of
the study, which has been shared on <a
rel="nofollow noopener noreferrer"
target="_blank"
href="https://arxiv.org/pdf/2306.07899.pdf"
moz-do-not-send="true"><span style="border:none
windowtext 1.0pt;padding:0in;">arXiv</span></a> and
is yet to be peer-reviewed. </span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">“I don’t think it’s the
end of crowdsourcing platforms. It just changes
the dynamics,” says Robert West, an assistant
professor at EPFL, who coauthored the study. </span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">Using AI-generated data
to train AI could introduce further errors into
already error-prone models. Large language models
regularly present false information as fact. If
they generate incorrect output that is itself used
to train other AI models, the errors can be
absorbed by those models and amplified over time,
making it more and more difficult to work out
their origins, says Ilia Shumailov, a junior
research fellow in computer science at Oxford
University, who was not involved in the project.</span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">Even worse, there’s no
simple fix. “The problem is, when you’re using
artificial data, you acquire the errors from the
misunderstandings of the models and statistical
errors,” he says. “You need to make sure that your
errors are not biasing the output of other models,
and there’s no simple way to do that.”</span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">The study highlights
the need for new ways to check whether data has
been produced by humans or AI. It also highlights
one of the problems with tech companies’ tendency
to rely on gig workers to do the vital work of
tidying up the data fed to AI systems. </span></p>
<p
style="vertical-align:baseline;font-style:inherit;font-variant:inherit;font-stretch:inherit;outline:0px;"><span
style="font-size:12.0pt;font-family:Times New
Roman, serif;color:black;">“I don’t think
everything will collapse,” says West. “But I think
the AI community will have to investigate closely
which tasks are most prone to being automated and
to work on ways to prevent this.”</span></p>
<p style="vertical-align:baseline;"
class="yiv3946723560MsoNormal"><span
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<h3
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style="font-size:18.0pt;font-family:inherit,
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<p class="yiv3946723560MsoNormal"><span
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<p class="yiv3946723560MsoNormal"><span
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<p class="yiv3946723560MsoNormal"><span
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Drew King</div>
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