@reddnea: idk how else to display them 😓 #decorating #collection #collector #decoration

kaitlynd!

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Sunday 09 August 2026 23:59:00 GMT

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Comments

dustyy_berrynova :

I hope this isn’t weird but genuinely what leggings are you wearing? Someone pls tell me if this weird

2026-08-10 09:01:09

48

Chris :

opening the comments I see

2026-08-10 07:11:54

581

⃟ :

Hear me out

2026-08-10 12:04:40

39

itz_Austin :

yo chill i am trying to quiet😭✌️

2026-08-10 11:34:24

7

Olivia Rowley :

This is how I store mine

2026-08-10 00:25:14

514

𝓚𝓮𝓷𝔃𝔂𝓲𝓮⋆🐿️ 𝓗𝓪𝓷ּ ֶָ :

this is Garfield and his fuggler😁

2026-08-10 06:41:25

164

🦝 :

I need more fugglers!

2026-08-10 02:57:35

48

𝓛🌸 :

You should get a long shelf and put them on there

2026-08-10 00:02:29

25

Chloeandtheponies :

We need more cult videos

2026-08-10 00:06:14

19

尺乇几ᘜㄖҜㄩ🔥🔥 :

Can you tell me where you got them I can’t find them anywhere😔😔😔

2026-08-10 00:42:15

11

￴ ￴￴ :

2026-08-10 02:41:36

5

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Are we building autonomous agents faster than we are learning to manage them? For a long time, I assumed the hardest part of AI would be building more capable systems. If agents could reason better, plan better, and operate more independently, organizations would naturally become more productive. That seemed like a reasonable assumption because, for decades, technology was the constraint. Lately, I've started questioning that. Every week brings another breakthrough. Agents can coordinate tasks, call tools, remember previous interactions, and solve problems that felt impossible only a year ago. We're accelerating the intelligence of our systems much faster than we're evolving the way we lead them. To me, that's where the real gap is beginning to appear. When organizations introduce autonomous agents, they often imagine they're deploying better software. I think they're actually introducing a new kind of teammate, one that forces leaders to rethink responsibility, authority, trust, and decision-making. That's a much bigger change than adopting another tool. In The Human-Agent Orchestrator, I argue that leadership is gradually shifting from supervision to orchestration. The role of a leader is becoming less about reviewing every action and more about designing how humans and agents work together without creating confusion or bottlenecks. That sounds subtle, but I believe it's one of the biggest organizational shifts of the AI era. The more capable agents become, the less practical constant supervision becomes. Eventually, the quality of the system depends less on watching every decision and more on designing the conditions under which good decisions consistently happen. That's why I find myself asking different questions today than I did a few years ago. → Are we investing as much in leadership as we are in autonomy? → Are managers learning how to orchestrate, or simply supervise more digital workers? → And if agents continue improving at today's pace, are our organizations prepared for what leadership will actually become? What do you think? Are we building autonomous agents faster than we're learning how to manage them? #ai

Are we building autonomous agents faster than we are learning to manage them? For a long time, I assumed the hardest part of AI would be building more capable systems. If agents could reason better, plan better, and operate more independently, organizations would naturally become more productive. That seemed like a reasonable assumption because, for decades, technology was the constraint. Lately, I've started questioning that. Every week brings another breakthrough. Agents can coordinate tasks, call tools, remember previous interactions, and solve problems that felt impossible only a year ago. We're accelerating the intelligence of our systems much faster than we're evolving the way we lead them. To me, that's where the real gap is beginning to appear. When organizations introduce autonomous agents, they often imagine they're deploying better software. I think they're actually introducing a new kind of teammate, one that forces leaders to rethink responsibility, authority, trust, and decision-making. That's a much bigger change than adopting another tool. In The Human-Agent Orchestrator, I argue that leadership is gradually shifting from supervision to orchestration. The role of a leader is becoming less about reviewing every action and more about designing how humans and agents work together without creating confusion or bottlenecks. That sounds subtle, but I believe it's one of the biggest organizational shifts of the AI era. The more capable agents become, the less practical constant supervision becomes. Eventually, the quality of the system depends less on watching every decision and more on designing the conditions under which good decisions consistently happen. That's why I find myself asking different questions today than I did a few years ago. → Are we investing as much in leadership as we are in autonomy? → Are managers learning how to orchestrate, or simply supervise more digital workers? → And if agents continue improving at today's pace, are our organizations prepared for what leadership will actually become? What do you think? Are we building autonomous agents faster than we're learning how to manage them? #ai

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