1. Home
  2. Detail

@user1679323130076: Wahh! @DA7.Valen berhasil bikin semua terpukau dan terharu🤩 salfok, para juri emang TOP banget selalu kasih perhatian ke Academia🥹✨ . . #IndosiarBawaDangdutBerkelasBerkualitas #DAcademy7Ind

user1679323130076
user1679323130076
Open In TikTok:
Region: US
Saturday 17 October 2026 02:53:06 GMT
1425452
106147
116
684

Music

Download

No Watermark .mp4 (14.57MB) No Watermark(HD) .mp4 (18.85MB) Watermark .mp4 (13.61MB) Music .mp3

Comments

egmicated
Egemicated :
Does it have good ratings? Anything below a 3.2 I won’t watch…
2026-10-17 16:02:10
9032
doginacup
De-Flock Rockford, IL! :
its black mirror
2026-10-18 00:41:02
4
icedoutmobb6
Otter :
This is from black mirror on Netflix, season 3 episode 1
2026-10-18 15:16:30
36
its_quababy
qua🇺🇸 :
I would definitely be that old lady
2026-10-17 20:15:40
2724
jay.ana
justin :
We're all living this btw
2026-10-18 12:59:27
124
__ak1__
user4502245894936 :
What movie?
2026-10-17 14:15:43
210
drewdawg73
DrewDawg :
Bryce Dallas Howard is so fine
2026-10-17 17:40:36
442
tc.neo0
TC neo :
is it against the tiktok rules to put the name of the movie in
2026-10-17 21:14:27
611
lauraadamspolley
Laura Adams Polley :
It’s actually a concerning movie given we are living in this psychotic environment right now (it’s ALL about ratings=likes=emotions)
2026-10-18 01:43:40
119
usthecry
. :
they could keep rating each other to raise it, right???
2026-10-18 17:08:28
37
heybigspendaaa
HeyBigSpender :
Orville has a similar episode
2026-10-17 14:52:18
1239
user5914831180857
🍓❌$UСК1Н 1N В!О🍓❌ :
purehearted luminous 😊
2026-10-18 18:57:04
37
sawyer.myers
Sawyer :
Always love seeing my Friend Cherry Jones(trucker lady) in just random movies I didn’t know she was in haha hearing her stories are great!
2026-10-17 17:50:38
35
5555jayjay
พี่เจ :
The future led by gen z.
2026-10-18 02:08:29
12
josemartinez25957
Jose Martinez✈️ :
Why tf don’t family vote points with each other
2026-10-18 01:56:43
38
user199393949596
😃 :
i loved the ending to this episode!!!
2026-10-17 18:14:49
19
roisindredge8
Roisin :
I could never be fake nice. I’m nice as I am and I wouldn’t want to fake it
2026-10-18 07:26:16
5
._meeep
Mep :
Is that the lawyer from defending jacob?
2026-10-18 01:51:45
5
lunar_o.o
⭐.-.ʍօռɖ.-.⭐ :
Claire?
2026-10-17 15:50:23
6
cydneyanne
CydneyAnne :
Why don’t the low numbers just rate each other higher and throw off the percentage?
2026-10-18 15:50:52
2
robinette.3
Robinette3 :
I love this episode [Laugh approved]
2026-10-18 14:43:22
1
xtian_recto
Sirhc :
what’s Gwen Stacy doing here
2026-10-18 14:58:22
1
z_cut23
Adel Ouasli • creator :
thus our reality but with looks
2026-10-18 08:18:36
1
To see more videos from user @user1679323130076, please go to the Tikwm homepage.

Other Videos

7:30 p.m. ET (4:30 p.m. PT) #adrianalima #victoriassecret #fyp #CityTasteTest #xyzbca
7:30 p.m. ET (4:30 p.m. PT) #adrianalima #victoriassecret #fyp #CityTasteTest #xyzbca
Allah be Akbar#viral#Allah#viral edits#viralvideos
Allah be Akbar#viral#Allah#viral edits#viralvideos
#fy #viral #fyp #pourtoi
#fy #viral #fyp #pourtoi
#cycle #sad #tired
#cycle #sad #tired
Đủ wow rồi đó Dr.G ơi #kinkebaton #HợpTácCùngDrG #DrGVN
Đủ wow rồi đó Dr.G ơi #kinkebaton #HợpTácCùngDrG #DrGVN
1. Five models: Nano (30B, 3.5B active), Super (120B, 12B active), Nano Omni (31B, about 3B active), Ultra (550B, 55B active) and 3.5 Lightning (30B, 3B active). Each one only switches on about a tenth of its parameters per token. 2. One blueprint: Mamba-2 layers do most of the sequence work, attention layers sit at key depths, and mixture-of-experts layers add capacity. Up to 1M tokens of context. 3. Ultra vs bigger open models in NVIDIA's table: leads on Ruler at 1M (95) and IFBench (82), ties Kimi K2.6 on PinchBench (91). 4. Small and fast: Lightning claims up to 4x the output speed of similar-sized models, and Nano Omni reads video, audio, images and text in one model. The catch: Ultra trails Kimi K2.6 on Terminal-Bench 2.0 (54 vs 67) and GLM 5.1 on EnterpriseOps-Gym (33 vs 40), the scores are NVIDIA-reported, and the licences differ by model. Follow @codenameposhan for more AI breakdowns. Sources: NVIDIA's Nemotron page, NVIDIA Technical Blog launch posts for Nemotron 3 Super, Ultra and 3.5 Lightning, and Hugging Face model cards. Independent briefing by CodenamePoshan, not an NVIDIA post. NVIDIA logo and launch art are © NVIDIA; benchmark values are from NVIDIA, shown for editorial reporting. #NVIDIA #Nemotron #OpenSource #AI #AIAgents #LLM
1. Five models: Nano (30B, 3.5B active), Super (120B, 12B active), Nano Omni (31B, about 3B active), Ultra (550B, 55B active) and 3.5 Lightning (30B, 3B active). Each one only switches on about a tenth of its parameters per token. 2. One blueprint: Mamba-2 layers do most of the sequence work, attention layers sit at key depths, and mixture-of-experts layers add capacity. Up to 1M tokens of context. 3. Ultra vs bigger open models in NVIDIA's table: leads on Ruler at 1M (95) and IFBench (82), ties Kimi K2.6 on PinchBench (91). 4. Small and fast: Lightning claims up to 4x the output speed of similar-sized models, and Nano Omni reads video, audio, images and text in one model. The catch: Ultra trails Kimi K2.6 on Terminal-Bench 2.0 (54 vs 67) and GLM 5.1 on EnterpriseOps-Gym (33 vs 40), the scores are NVIDIA-reported, and the licences differ by model. Follow @codenameposhan for more AI breakdowns. Sources: NVIDIA's Nemotron page, NVIDIA Technical Blog launch posts for Nemotron 3 Super, Ultra and 3.5 Lightning, and Hugging Face model cards. Independent briefing by CodenamePoshan, not an NVIDIA post. NVIDIA logo and launch art are © NVIDIA; benchmark values are from NVIDIA, shown for editorial reporting. #NVIDIA #Nemotron #OpenSource #AI #AIAgents #LLM

About

Legal