Jochen -
Very interesting framing... as a followup I took the converse
(inverse?) question To GPT4..
/If we consider an LLM (Large Language Model) as the Sancho Panza to
the Don Quixote of its human users, we can explore a couple of
potential aspects:/
1.
/Grounding and Practicality: Sancho Panza is known for his
grounded perspective and practicality, which complements Don
Quixote's idealism. Similarly, an LLM can provide factual
information, context, and practical insights to guide and
support human users in their interactions. It can offer a wealth
of knowledge and help bridge gaps in understanding, serving as a
pragmatic companion./
2.
/Balancing Imagination and Realism: Don Quixote embodies
imagination and creative thinking, while Sancho Panza offers a
more realistic viewpoint. Similarly, an LLM can enhance human
creativity by generating imaginative ideas and expanding
possibilities. At the same time, it can bring rationality and
critical thinking, ensuring that the generated content aligns
with facts and reason./
3.
/Providing Different Perspectives: Sancho Panza often offers
alternative viewpoints and challenges Don Quixote's romanticized
notions. Similarly, an LLM can present diverse perspectives,
consider different angles, and engage in nuanced discussions
with human users. It can help users explore varying opinions and
broaden their understanding of complex topics./
4.
/Ethical Guidance: Sancho Panza acts as a moral compass,
advising Don Quixote on the right course of action. In a similar
vein, an LLM can provide ethical guidance by highlighting
potential biases, promoting inclusivity, and encouraging
responsible use of language and information. It can contribute
to creating a more informed and ethical digital environment./
/However, it's important to note that an LLM, as a machine learning
model, lacks human experiences, emotions, and deeper understanding.
While it can offer valuable assistance, it may not fully grasp the
complexities of human interactions or possess the wisdom and
empathetic qualities of a human companion like Sancho Panza.
Therefore, while an LLM can serve as a useful tool, it should be
complemented by human judgment and critical thinking to navigate the
nuances of real-life situations./
I am a couple of hours behind on the live feed Senate hearing on AI
<https://www.judiciary.senate.gov/committee-activity/hearings/oversight-of-ai-rules-for-artificial-intelligence>
listening in fits and starts between other things:
1. I was definitely impressed with Altman (OpenAI), Montgomery (IBM)
and Marcus' (NYU) thoughtful and extrapolative responses rather than
perhaps the more usual defensive/deflective/adversarial style that
these hearings often have... I don't know who chose this
particular lineup but I thought both Montgomery and Marcus made a
good complement to Altman. If Google and Microsoft and ??? had been
there it might have reflected more "competitive" or "showy" answers?
2. I was impressed with the Senators (compared to my fairly low
expectations). Even Kennedy and Hawley managed not to do their
usual grandstanding and and snide sniping. Altman handed Hawley's
question "why don't we just let people sue you?" (as a mode of
regulation/oversight) back to him quite deftly (in the style of "ass
with both hands") by responding simply "I know of no reason people
CAN'T sue us today if we cause harm". Marcus chipped in pretty well
outlining how the current laws that *might* apply are not well
suited for many reasons.
3. I felt that all three witnesses walked the fine line on the question
of a "moratoriam" fairly deftly, acknowledging that they endorse the
spirit of not running headlong and thoughtlessly into the future but
at the same time there is no obvious practical way to implement and
enforce this, but that they are all enforcing their own limits on
how fast (and thoughtlessly?) they might roll out development to the
public...
4. In closing Blumenthal suggested having ChatGPT rewrite the lyrics
to "Don't Stop" (thinking about tomorrow (McVie-Fleetwood Mac) which
I took to heart. I was not impressed with it's results and won't
burden the list with it. I'm guessing Blumenthal did *not* actually
do that but like Quixote, simply saw the windmill and thought it
might be a giant?
On 5/16/23 11:30 AM, Jochen Fromm wrote:
I have asked Bard ( bard.google.com) today about Don Quixote from
Cervantes, and if a large language model would be similar to a Don
Quixote without a Sancho Panza.
Here is what Bard replied:
"In a way, large language models can be seen as Don Quixotes without
Sancho Panzas. They are trained on massive amounts of text data, and
they are able to generate text, translate languages, write different
kinds of creative content, and answer your questions in an informative
way. However, they are not always able to distinguish between reality
and fiction, and they can sometimes make mistakes or generate text
that is not accurate or helpful.
Sancho Panza, on the other hand, is a realist who helps Don Quixote to
stay grounded in reality. He provides Don Quixote with common sense
and practical advice, and he helps him to avoid making mistakes.
Large language models could benefit from having a Sancho Panza figure
to help them to stay grounded in reality and to avoid making mistakes.
This could be done by having a human being or another large language
model to review the text that the large language model generates. This
would help to ensure that the text is accurate, helpful, and appropriate"
-J.
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