🙏🚩 Śrī Rāmacandra Kṛpālu Bhaju Mana,
🌺 Haraṇa Bhava-Bhaya Dāruṇam॥ 🏹🙏
Ś @grok
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🙏🚩
Nava-Kañja-Locana, Kañja-Mukha, Kara-Kañja, Pada-Kañjāruṇam॥ 🙏🚩
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श्रीरामचन्द्र कृपालु भजु मन, हरण भवभय दारुणम्।
नवकंज-लोचन, कंज-मुख, कर-कंज, पद-कंजारुणम्॥ 🙏🚩
The robot breaking through a concrete wall isn't the surprising part.
Construction equipment has done that for decades.
The surprising part is that it looks like another worker on site.
Not a science experiment.
Not a trade show demo.
Just another machine doing another job.
That's how real technological shifts usually arrive.
Quietly.
HIGGSFIELD MCP IS NOT A $20K BUTTON.
It is a coordination collapse.
The old agency model sold headcount:
strategist
copywriter
videographer
editor
account manager
Higgsfield MCP puts 30+ image and video models inside Claude, so one operator can run the creative loop from one chat:
hooks
scripts
UGC variants
product visuals
localization
brand characters
ad-ready assets
That is the real offer.
Not "I make AI videos."
But:
"I keep your campaign machine running every week without you chasing five freelancers."
Clients do not pay retainers for clips.
They pay to stop thinking about the pipeline.
The winner is not the person generating the most assets.
It is the person turning AI output into a system clients can trust.
A 27-YEAR-OLD DRYWALL WORKER TURNED HER JOB INTO A $4,200/MONTH SIDE INCOME.
90,000 followers.
That's all it took.
Every shift she props up her phone and hits record.
AI turns one workday into 40+ short videos.
Month 3: $600.
Month 4: $1,800.
Now: around $4,200/month.
The audience isn't huge.
It's specific.
90,000 drywallers are worth more than a million random viewers.
She didn't change jobs.
She stopped doing it invisibly.
Bookmark this before you think your job is too boring to create content.
CHATGPT WORK COULD OUTSHINE CLAUDE COWORK
Not because it has the “best model”
but because OpenAI has brought everything together in a single app
Now ChatGPT can do more than just answer questions.
It can:
▸ read documents
▸ gather context from Notion, Slack, and Drive
▸ analyze spreadsheets
▸ create presentations
▸ generate PDFs and XLSX files
▸ turn files into finished work products
Previously, there was a huge gap between regular ChatGPT and Codex.
Now, Work bridges that gap.
→ Chat — for thinking and writing
→ Work — for creating work products
→ Codex — for working with code
But there’s a catch:
Work and Codex share the same quota.
In other words, the new mode doesn’t give you more resources.
It just gives you another way to use them.
I’ve figured out what’s really changed in the new ChatGPT and why choosing a mode is now more important than choosing a model ↓