پروژه هوش مصنوعی / روانشناسی (81735)
چهار ماه پیش منتشر شده
تعداد بازدید: 124
کد پروژه: 515897
شرح پروژه
سلام وقت بخیر.
من پروزه ای که دارم. خودمم دقیق نفهمیدم چطوریه
براتون ارسال کنم گفته های استاد رو میتونین هم بگید هم اینکه اوکی میکنینیش یا نه؟
فقط دیگه زمانم محدود شد سر قضیه قبلی که خودتون در جریانید
هوش مصنوعی. حالا بازم دقیق میفرستم براتون
یه دیالوگ باید تهیه بشه.
تا دوشنبه
روانشناسی
It is my ethical duty to inform you that I alleged "Deep Learning" including “LLMs” like ChatGPT to be Post-Selection misconduct (cheating and hiding).
If you train multiple systems each using different parameters, you need to report the average errors of all trained systems on a validation set. Better, also report the minimum, 25%, 50%, 75%, and maximum of the ranked errors on the validation set. If you only report the error of the luckiest few networks on the validation set, you grossly underestimate its error in a future new test. Namely, the luck on the validation set does not transfer to a similar luck on a new future test.
If you are interested in discussing this important matter, I invite you to write an [AI Crisis] Dialogue.
بله یک دیالوگ هستش. والا من خودمم دقیق متوجه نشدم. نه نمیشه با استاد ارتباط گرفت پیام دادم اصن نگاه هم نکردن. من تا 2شنبه لازم دارم نشد 3 شنبه . فوقش میگم استاد شما که جواب ندادین. ولی سه شنبه اخرشه
روانشناسی
ببینید اصن قابل اجرا هست
Dear Asim,
It is my great pleasure to finally have somebody who argued with me about this important subject. I
have attached the summary of this important issue in Fig. 1.
I alleged widespread false data in AI from the following two misconducts:
Misconduct 1 : Cheating in the absence of a test.
Misconduct 2 : Hiding bad-looking data.
The following is a series of events during WCCI 2024 in Yokohama Japan. These examples showed that
some active researchers in the WCCI community were probably not aware of the severity and urgency of
the issue.
On July 1, in public eyes, Robert Cozma banned the chance for Simon See at NVidea to respond to my
question pointing to a False "Great Leap Forward" in AI.
July 1, Kenji Doya suggested something like "let misconduct go ahead without a correction" because
the publications are not cited. But he still did not know that I alleged that AlphaFold as well as almost all
published Google’s deep learning products suffer from the same Post-Selection misconduct.
On July 1, Asim Roy said to me "We need to talk" but he did not stay around to talk. I had a long
debate during the banquet last night. He seems to imply that post-selections of few networks and hiding the
performance information of the entire population is "survival of the fittest". He did not seem to agree that
all 3 billion human populations need to be taken into account in human evolution, at least a large number of
samples like in human sensus.
On July 3, Yaochu Jin did not let me ask questions after a keynote talk. Later he seemed to admit that
many people in AI only report the data they like.
July 3, Kalanmoy Deb said that he just wanted to find a solution using genetic algorithms but did not
know that his so-called solution did not have a test at all.
On July 1, I saw all books on the display on the Springer Table appear to suffer from Post-Selection
misconduct.
Do we have a false data flooded "Great Leap Forward" in AI? Why? I welcome all those interested to
discuss this important issue.
این نمونه دیالوگ هستش
in your first file, you listed courses many of which are not in your transcripts. I was confused by the purpose of your first file. The second file seems to be descriptions of courses on your transcript.
Do you understand the Post-Selection concept below? If you do, please write a Dialogue for [AI Crisis].
It is my ethical duty to inform you that I alleged "Deep Learning" including “LLMs” like ChatGPT to be Post-Selection misconduct (cheating and hiding). Read J. Weng, On "Deep Learning" Misconduct, ISAIC 2022 .
If you train multiple systems each using different parameters, you need to report the average errors of all trained systems on a validation set. Better, also report the minimum, 25%, 50%, 75%, and maximum of the ranked errors on the validation set. If you only report the error of the luckiest few networks on the validation set, you grossly underestimate its error in a future new test. Namely, the luck on the validation set does not transfer to a similar luck on a new future test.
Please see this Newsletter for the latest developments if there is such a future test:
If you are interested in discussing this important matter, I invite you to write an [AI Crisis] Dialogue.
توضیحات
لطفا یک دیالوگ در زمینه بحران هوش مصنوعی در طی کمتر از دو روز نگارش کرده و ارسال کنید. از چت GPT استفاده نکنید بلکه فقط ایده بگیرید
بحث آموزش یک سیستم در هوش مصنوعی پیش میاد بحث میزان دریافت درست و اشتباه توسط سیستم مطرح هست که خب با نرخ خطا مشخص میشه. براتون مثال تست گذاشته و نمونه دیالوگ ها
لطفا طی دو روز انجام داده و ارسال کنید استادتون پیگیر شدن
اینو چون گفتین دقیق مشخص نیس بیشتر برامون توضیح بدین من پیام دادم چون برای خودم یکم چالشی بود و دبر جواب دادن و الان شد. الانم دو روز زمان دارم
مهارت ها و تخصص های مورد نیاز
مهلت برای انجام
2روز
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