@matty_addy: 🫪🫪🫪

matty addy
matty addy
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Region: US
Saturday 29 August 2026 07:54:48 GMT
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verysherryberry
Sherry :
tomorrow is Sunday did you hear that from Patrick?
2026-08-29 16:48:14
291
mysticdeepdives
jan, janelle, whatev ♊︎ ♋︎ ♐︎ :
another thing patrick lied about
2026-08-29 10:23:58
1271
nany.noon
Nany | Customer Experience :
That’s what happens when you don’t ask Patrick
2026-08-29 10:54:57
651
k708933
K? 🇨🇦 🇵🇱 :
You should've asked PatGPT
2026-08-29 13:31:40
197
klbmaammaa
S :
Patrick told the jury no. They have to wait till he says so
2026-08-29 21:03:37
3
frannyrr
frannyrr :
I think the husband did it.
2026-08-29 14:07:07
26
sterlingvaughan
Tiger :
It’s too bad that Reddington didn’t separate the baby timeline from the other 2 children to create reasonable doubt not guilty ( yes there is already enough evidence) with the fact she was outside paralyzed and could not have killed baby. Just that timeline alone proves innocence and introduces PC but I presume Red wasn’t permitted to intro PC— That’s the bifurcation requested but denied
2026-08-29 16:30:41
5
maureenmccann8
Bean :
Did Patrick say that?
2026-08-29 14:10:00
94
midnightsera13
✨Sarah (Taylor’s Version) ✨ :
It’s okay, how were you to know that Patrick would lie to you??
2026-08-29 17:36:19
3
qveenccece
Cece :
I’ve been following this case through your videos, I can’t wait to see the verdict! Omg this case has been a lot, how do you think it’s going to go?
2026-08-29 08:01:50
21
crc2980
JustAnotherSwiftie :
Patrick said nope not tuh dayyyy
2026-08-29 11:12:06
33
mattm20242
mattm20242 :
And it’s not guilty
2026-08-29 12:06:40
2
devinhatespeople
Devin :
Too many people missed it 😅 Guys he stitched the video he made the other day saying we’d get the verdict the next day. He’s trolling himself lol
2026-08-29 17:04:01
8
cecilieharlem
CECILIE HARLEM :
When is tomorrow? Is tomorrow today?!😂🇳🇴
2026-08-29 11:45:55
4
daydzai
Baguio Transient :
thats okay we still love you
2026-08-29 12:01:06
2
brynnnnieo
brynnie :
it's ok, Patrick told you!!
2026-08-29 13:32:31
17
missy_jean_davies
Missy_Jean_Davies :
I thought they were sent home for the weekend?
2026-08-29 09:48:53
59
corpus_chrissy.injector
Corpus_Chrissy.Injector :
Did Patrick say so bc if not … 🥱
2026-08-29 07:56:52
31
abigailllynnnn
ABIGAIL :
Casey Anthony Jury took 11 hours / 2 days to deliberate and come back not guilty. I was starting to lose hope a little. She’s not guilty!!! NOT GUILY
2026-08-29 12:17:49
35
thatsjustkaykay_
Nurse Kay Kay, RN :
Chile… never had my hopes up. I’d be surprised if we get it before Wednesday
2026-08-29 17:29:35
6
nillacupcakexo
Amanda❤️CHD & ASD Mama❤️ :
I’m thinking late next week but it all really depends on what Patrick says
2026-08-29 10:47:35
6
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Other Videos

Your Airflow DAG failed at 2:00 AM. Does an engineer need to wake up first? 🚨 This is Graph Engineering in production: Airflow alert → incident router → specialist agents → shared evidence → safe retry → verified recovery ✅ Instead of one AI agent guessing everything, a crew investigates in parallel: 🟢 Log Agent checks errors and stack traces 🔵 Data Agent validates upstream dependencies 🟡 Infra Agent checks memory, CPU and infrastructure 🟣 Change Agent reviews recent deployments Their findings are stored in a shared incident state containing evidence, hypotheses and retry history. Then comes the critical decision: Is the failure transient—and is the task safe to retry? ✅ Yes → rerun only the failed task 🛑 No → pause and escalate to the human on-call But a successful retry is not enough. The system verifies that the task passed, downstream dependencies are healthy and the DAG is green before closing the incident. That is the difference between blind automation and trustworthy agentic operations: ❌ Retry everything ❌ Let one agent improvise ❌ Close after a command succeeds ✅ Route by failure type ✅ Preserve shared incident state ✅ Use bounded retries ✅ Escalate uncertainty ✅ Close only after verification The future of on-call isn’t “AI replaces engineers.” It’s AI handling repetitive diagnosis and safe recovery while humans control ambiguous, high-risk decisions. 🧠 Would you trust this system with your next Airflow failure? 👇 Follow @hackproduct for practical AI engineering, data engineering and system design. #Airflow #DataEngineering #AIEngineering #AIAgents #AgenticAI
Your Airflow DAG failed at 2:00 AM. Does an engineer need to wake up first? 🚨 This is Graph Engineering in production: Airflow alert → incident router → specialist agents → shared evidence → safe retry → verified recovery ✅ Instead of one AI agent guessing everything, a crew investigates in parallel: 🟢 Log Agent checks errors and stack traces 🔵 Data Agent validates upstream dependencies 🟡 Infra Agent checks memory, CPU and infrastructure 🟣 Change Agent reviews recent deployments Their findings are stored in a shared incident state containing evidence, hypotheses and retry history. Then comes the critical decision: Is the failure transient—and is the task safe to retry? ✅ Yes → rerun only the failed task 🛑 No → pause and escalate to the human on-call But a successful retry is not enough. The system verifies that the task passed, downstream dependencies are healthy and the DAG is green before closing the incident. That is the difference between blind automation and trustworthy agentic operations: ❌ Retry everything ❌ Let one agent improvise ❌ Close after a command succeeds ✅ Route by failure type ✅ Preserve shared incident state ✅ Use bounded retries ✅ Escalate uncertainty ✅ Close only after verification The future of on-call isn’t “AI replaces engineers.” It’s AI handling repetitive diagnosis and safe recovery while humans control ambiguous, high-risk decisions. 🧠 Would you trust this system with your next Airflow failure? 👇 Follow @hackproduct for practical AI engineering, data engineering and system design. #Airflow #DataEngineering #AIEngineering #AIAgents #AgenticAI

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