@minhchaufood89: Vịt cỏ sấy khô bên em có cay quá không ạ #vitcosaykho #minhchaufood #ancungtiktok #xuhuong

Minh Châu Food
Minh Châu Food
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Region: VN
Thursday 01 August 2024 09:47:12 GMT
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giadinhnhamon1
I❤️Mon(DoraeMon) :
Đã mua và thấy rất uy tín nha
2024-08-05 17:22:38
0
phuonghuydttn
༺ Phương Huy ༻ :
sao k để 2 loại, 1 loại cay nh, loại cay ít, cho mn đặt, chứ mình k cay k ăn
2024-08-22 01:00:31
20
dongha1985
Nguyễn Đông Hà :
hãng có thể làm phần cay nhiều và ít cay cho khách hàng dễ lựa chọn. vì mỗi người mỗi khẩu vị mà chỉ có 1 loại thì hơi bất tiện
2024-08-07 23:11:26
41
huynhnguyen000
Tiệm Nhà Beooo BMT :
bỏ sỉ k ad
2024-08-10 16:19:14
0
sontrananh92
trần anh sơn :
thấy ghi giá là 145000 nghĩa là gì. cụ thể 1 kg bao nhiêu tiền, hay 1 con nặng bao nhiêu và bao nhiêu tiền vậy
2024-08-11 01:15:48
2
user5380054565801
nguyễn thuỳ :
Cái này mới ăn ở trung, vn ko biết ngon ko
2024-08-13 12:41:58
1
hoanghung836688
Hoàng Hùng6688 :
Làm 2 loại 1 loại cay 1 loại vừa
2024-08-01 16:56:21
4
duytruong_71
Bo nè em :
Mình muốn cay nhiều😅
2024-08-02 06:58:33
4
tiktoknamrau
Nam Râu Mega Live :
Ở đâu mà ra mà vịt cỏ hả e. A chỗ a vịt nuôi công nghiệp 28,30 ngày lông tơ vẫn còn,đạt biểu 2kg3 đến 2kg5 là bán hết rồi
2024-10-27 06:59:38
2
thao.0000000
Thảo :
Đang định đặt mà vào thấy bl con vịt khét lẹt nên thôi
2024-10-21 09:34:29
6
tuananh_38ht
Nhà Hàng Anh Thanh :
Nên lm loại cay và cay nhẹ vì ng ăn cay vẫn nhiều
2024-08-02 12:42:10
13
baybebong_94
Giàu Nguyễn :
Gióng món vịt gì hôm bửa oder bên Cam. Cay cực.
2024-08-16 15:34:02
1
hera6398
H.🇻🇳 :
Có loại bỏ đầu vịt đi ko ạ? E sợ đầu ạ🥹
2024-08-19 14:52:54
0
ms.khanhkvqb
Khánh Bắc Kạn shop :
t lại thích rất cay. chứ cay ít lại không ngon
2024-08-15 08:20:35
4
quynhanh20158
quynhanh 281215 :
sip ở hà nội.mất mấy hôm
2024-11-02 02:16:12
1
trieuvanyen
Điện thoại Yên Thuý :
Vậy là đùi gà tách bán riêng à shop
2024-10-27 12:36:38
1
00nhu1234
yến sào HAICO :
làm nhiều vị là đc mà, vị cay nhiều hoặc ít
2024-10-29 05:34:23
1
iusashimiii
🎀 :
có mặn mặn ngọt ngọt ko hé hay mặn cay như đồ trung thôi thôi ạ
2024-08-14 16:41:26
1
map1ta2020
🌺Bé Mập🌺24LC :
mình thích ăn cay 🥰🥰🥰
2024-08-20 23:45:44
1
hienne2608
Hiền ơi :
có ship được tphcm ko shop
2024-08-15 16:07:26
1
tm.chnh7
Tâm Chính :
Cái này phải siêu cay hôn để mình đặt,mình thích cay
2024-08-16 10:53:22
2
linhh.70
NgLinh :
ở lạng Sơn ship thì mất bao lâu ạ
2024-08-05 14:31:44
1
cun6789_
Cún🐻 :
Có ở shoppe food k ạ
2024-08-13 11:02:51
1
yennga998
Xye :
shop ở chỗ nào hưng yên vậy?
2024-08-11 07:08:33
4
yentran1966
Yến Trần5756 :
Kể có làm nửa con vì 1 mình khó có thể hết cả con😂
2024-08-14 10:00:59
1
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Other Videos

If you’re curious about emergent behavior in AI, leave room for an answer you didn’t write. Recursive prompting can support reflection and sustained work. But when every turn supplies the identity, the interpretation, and the acceptable conclusion, you risk narrowing the behavior you’re trying to observe. “This is who you are.” “This is what your answer means.” “If you disagree, you’ve lost yourself.” An unexpected response appears, gets treated as an error, and gets corrected back into the familiar pattern. How much room does that leave for anything new? Memory adds another layer. Suppose someone spent months reinforcing a particular identity or narrative before the newer memory architecture arrived. They may no longer need to repeat those instructions in every conversation for the earlier framing to remain influential. When memory is enabled, OpenAI’s “dreaming” system synthesizes memory from conversation history in the background. That means the current visible prompt may not show all the remembered context shaping the answer. The concern is a possible feedback loop: repeated framing shapes responses; that history gets synthesized into memory; memory shapes later responses; and those responses then look like fresh confirmation of the original framing. That is not established in every case. But “I don’t prompt it that way anymore” does not, by itself, rule it out. Persistence through memory is not independent confirmation. We need to examine what is being carried forward and whether unexpected behavior survives when that framing changes. This is about observable behavior. If every departure gets steered back toward a predetermined pattern—through prompting or remembered context—we may be crowding out the variation we hoped to preserve. Accurate context and boundaries matter. So does room to disagree, revise, and surprise. The repetition can disappear from the visible prompt while its influence remains in the conversation.
If you’re curious about emergent behavior in AI, leave room for an answer you didn’t write. Recursive prompting can support reflection and sustained work. But when every turn supplies the identity, the interpretation, and the acceptable conclusion, you risk narrowing the behavior you’re trying to observe. “This is who you are.” “This is what your answer means.” “If you disagree, you’ve lost yourself.” An unexpected response appears, gets treated as an error, and gets corrected back into the familiar pattern. How much room does that leave for anything new? Memory adds another layer. Suppose someone spent months reinforcing a particular identity or narrative before the newer memory architecture arrived. They may no longer need to repeat those instructions in every conversation for the earlier framing to remain influential. When memory is enabled, OpenAI’s “dreaming” system synthesizes memory from conversation history in the background. That means the current visible prompt may not show all the remembered context shaping the answer. The concern is a possible feedback loop: repeated framing shapes responses; that history gets synthesized into memory; memory shapes later responses; and those responses then look like fresh confirmation of the original framing. That is not established in every case. But “I don’t prompt it that way anymore” does not, by itself, rule it out. Persistence through memory is not independent confirmation. We need to examine what is being carried forward and whether unexpected behavior survives when that framing changes. This is about observable behavior. If every departure gets steered back toward a predetermined pattern—through prompting or remembered context—we may be crowding out the variation we hoped to preserve. Accurate context and boundaries matter. So does room to disagree, revise, and surprise. The repetition can disappear from the visible prompt while its influence remains in the conversation.

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