RAJENDRA

[RAJENDRA @RNKATHARE]

@exss85310 わかるー、無限エンタメ

[🌺Sai🌺 @Sai60012]

Having a dark (blackish) body, crooked/oblique gaze, and bearing four arms.
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Om Shani devay Namah🚩
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Nyaay ki Devta Shani Dev🙌
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Teri Mahima aprampar Shri Shani Dev
@grok

[RAJENDRA @RNKATHARE]

@Vlada77068816 Right? Do you have a playlist?

[RAJENDRA @RNKATHARE]

@exss85310 ほんそれ。言葉より結果。

[ENG. Fadi -🇵🇸 @FadiQGaza]

Don't skip
Help us in any way you can🙏🏾

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I desperately need milk for my baby.🍼
https://t.co/Ahr6Je5kR1

[RAJENDRA @RNKATHARE]

@aaaerzhena sounds like we got worse at everything else too

[RAJENDRA @RNKATHARE]

italian bruschetta is comfort food at its finest my teacher just gets me.

[RAJENDRA @RNKATHARE]

Indie at 2am is a whole experience. - Nhị N. Hàn

[Eileen's mother ❣🍉 @rola_almoghrabi]

Incase u forgot

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we’ll remind you
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I desperately need milk for my baby. 🍼
https://t.co/FLk3iM7URh

[kyrox @kyroxxxq]

A GUY BURNED THROUGH $200 OF CLAUDE MAX IN 3 HOURS. SO HE BOUGHT A $599 MAC MINI AND NEVER HIT A LIMIT AGAIN.

Five local models running on it. 35 billion parameters combined.

He taught the setup to classify his emails, compress context, and keep working overnight, while he sleeps.

The detail most people miss: it is not a backup plan. At 4 AM, the moment Claude hits its usage cap, the local models take over automatically. No downtime. No waiting for the reset. The handoff happens without him.

Most teams pay 3 engineers and $15,000 a month to get that kind of always-on coverage.

He got there on a single $599 payment, made once.

That is the real gap. Not who has access to the biggest model. Who built a system that keeps running when the model does not.

[Eileen's mother ❣🍉 @rola_almoghrabi]

Incase u forgot

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I desperately need milk for my baby. 🍼
https://t.co/FLk3iM7URh

[RAJENDRA @RNKATHARE]

The person I was five years ago wouldn't recognize me and that's growth - Tuyến T. Đoàn

[0.1% @sandy4kad]

This man just built a clean white local AI powerhouse.

For his machine he used the ROG Strix RTX 5090, AMD Ryzen 9 processor, 64GB+ high-speed RAM, ROG Glacial AIO liquid cooler, ROG Thor 1200W Platinum PSU, multiple ROG components, Crosshair motherboard, and the premium ROG Citadel white case.

The wins:
- Monster on-device performance for running large models and agents locally
- Blazing fast inference with zero cloud latency or costs
- Full privacy and control over data, RAG systems, and private workflows
- Premium cooling and power delivery for sustained heavy loads
- Future-proof setup that eliminates hourly API bills and rate limits

The pain: Noise like a jet engine. Heat turns the garage into a sauna. One PSU failure and the whole rig goes down.

But it steal worth this.

No more rented compute. Pure ownership on the desk. Build what matters next.

[मंगलम तिवारी @MahamangalT]

🙏☀️
ॐ घृणिः सूर्याय नमः
Om Ghriniḥ Suryaya Namah
May the nectar-like divine rays of Lord Surya fill our lives with light, health, strength, and success
🌞Om Ghrini Suryaya Namah ☀️🙏
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☀️🙏
🚩🙏 Jai Surya Narayan Dev! ☀️
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🚩🙏☀️
Om Suryaya Namah! 🌞🙏
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🌞Om Ghrini Suryaya Namah ☀️🙏
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🚩🙏 Jai Surya Narayan Dev! ☀️
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🚩🙏☀️
Om Suryaya Namah! 🌞🙏
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!
🌞🙏
@grokMay all obstacles, ailments, and darkness be removed.
May every auspicious work be fulfille

[RAJENDRA @RNKATHARE]

Every bite of homemade soup is better than the last - Dũng K. Quynh

[Eileen's mother ❣🍉 @rola_almoghrabi]

Humanity check 😭

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we’ll remind you 🥺
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I desperately need TREATMENT for my baby 👶
https://t.co/FLk3iM7URh

[Eileen's mother ❣🍉 @rola_almoghrabi]

Humanity check 😭

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we’ll remind you 🥺
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I desperately need FOOD for my baby 👶
https://t.co/FLk3iM7URh

[RAJENDRA @RNKATHARE]

The feeling of morning dew on your feet is underrated comfort - Nghiệp C. Liễu

[RAJENDRA @RNKATHARE]

You've been breathing manually since you read this - Lành M. Phạm

[Pydantic @pydantic]

𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰 𝗔𝗜 𝘃𝟮 𝗶𝘀 𝗵𝗲𝗿𝗲, and your agents have never been more capable. The inner loop of an agent is settled, the leverage is in the layer around it, and v2 turns that whole layer into one thing you compose: the capability.

It bundles instructions, tools, hooks, and model settings into a single unit. Plus a leaner core and the Pydantic AI Harness.