vgf

[vgf @vgf2aix]

@tvd99j ممارس ثقافة البوب الودود. برتقالي القهوة. هواة لحم الخنزير المقدد الطالب الذي يذاكر كثيرا. محلل عام.🌏🌐🗺🌎🏗🏛🛕🌅🌄🎢🎡🎠

[vgf @vgf2aix]

ساحر بمهارة السفر الخبير. متعصب الطعام. مدمن الويب. عالم تلفزيوني. اللاعب. ثقافة البوب الحائزة على جوائز. طالب.

[vgf @vgf2aix]

الجمال الحقيقي في عيون الناظر

[vgf @vgf2aix]

مجموع محبي الموسيقى. ممارس البيرة الشريرة. مبشر الويب. مدمن على الكحول. مهووس بثقافة البوب.

[vgf @vgf2aix]

ممارس ثقافة البوب. مبشر الموسيقى. يسقط كثيرا. مدمن تويتر المدقع.

[vgf @vgf2aix]

شكرا لكونك صخرتي يا أخي. شكرا لمشاركتنا خبرت�� ��خي سانتوس مونجي

[vgf @vgf2aix]

أتمنى أن يرافقك النجاح في كل ما تفعله. أنا محظوظ أن يكون لك كصديق. شكرا لك يا أخي. الروبل الروماني

[seeco @seeconvm]

Google and Anthropic treat retrieval the same way: as a separate service that agents call as a tool

1 - anthropic exposes it via MCP
2 - google puts RAG Engine next to MCP servers inside the Gemini agent platform

old naive RAG was a one-shot pipeline inside the app. it created two problems: stale embeddings and duplicated infrastructure

the fix is a continuous ingestion layer that syncs by content hashes and stays available through a single API. agents then call it as a tool inside their loop:

reason → search → read → refine

chunks still have limits. they ignore semantic boundaries, version and source

a stronger unit is a structured block: question embedding + verified answer + source and version metadata

a detailed breakdown by the author in the comments

[Rich @RrichPRMR]

She's a carpenter. Her trade pays $5k a month.
Her phone pays $11k. Same eight hours, filmed.

And the reason her videos hit 10 million views isn't that she's a woman on a site.

It's a trick you can steal in the next clip you post.

Watch one closely.

It's never one shot of one task — the mistake 90% of trade accounts make, the reason they flatline at second four.

In 15 seconds she gives you scaffolding outside, a ladder inside, a ceiling getting framed, a nail driven with a loaded tool belt.

Four scenes. One shift. Cut tight.

It plays like a movie trailer for a job.

The scene flips every 2 seconds, so your eye physically can't get bored, that's not talent, that's editing, and it's why her retention crushes videos of way more "exciting" work.

Here's the uncomfortable math on the "woman in construction" angle: novelty gets the first tap and dies by video three.

Pace is what banks 10 million.

One is luck.

The other you can build on purpose.

The money that follows:

$5k — the carpentry, before a single post.

$3 - 5k a post — tool, workwear, and hardware brands paying to reach the trade crowd she pulls.

Payouts on millions of monthly views she films by dropping a phone low and letting it roll.

Zero editing on her end.

She films scraps all day, hands them to AI — it grabs the sharpest 2 seconds from each spot, cuts to the beat, captions, schedules.

One day of footage → a week of posts → content that runs while she's on the next site.

Steal this today: stop posting one long clip of one task.

Film 4 angles of your day, cut them fast, change the scene before the eye settles.

The job doesn't have to be exciting.

The cut does.

Because here's the FOMO — someone in your exact trade is about to figure this out.

Whoever films it first owns that lane, and everyone after just looks like a copy.

The angle is free.

The seat is empty.

For now.

What job would look unreal cut into 15 fast seconds?

Drop it below — follow so you're the one who moves first.