MindPatternHQ⚜️ retweeted
Teach your daughter to recognize manipulation before someone turns her kindness against her...
Parents must read 👇 🧵
MindPatternHQ⚜️ retweeted
IN JAPAN, IF YOU START A NEW LIFE AFTER 30 WITHOUT A PLAN,
YOU MUST FOLLOW 6 CLEAR RULES: 🧵
MindPatternHQ⚜️ retweeted
Dismissing the Bible as a fairy tale is a huge intellectual mistake.
It's not fiction, but a confusing history from a culture we barely understand.
So what were the writers actually trying to say?
MindPatternHQ⚜️ retweeted
If your child isn't listening...
Don't repeat yourself 10 times.
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10 CONVERSATIONS YOU NEED TO HAVE WITH YOUR CHILD ABOUT SEX... 👇🧵
1. His c..
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🚨BREAKING: Claude can now help you launch a full Instagram page from zero and reach monetization inside 120 days — without ever showing your face, and with zero cost to post.
Here’s the exact path I’d follow.
Picture what changes when you own a page with 500k followers. One post and more than half a million people see your message. That audience is useful to you, and it’s equally useful to brands that will pay to reach it. You’re still early — comparable to buying property in the 1980s or Bitcoin in 2014.
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MindPatternHQ⚜️ retweeted
In marketing today, there’s almost no middle class left
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MindPatternHQ⚜️ retweeted
12 signs you're raising an entitled child who won't respect your boundaries.
Here's what this looks like in your house... 👇 🧵
MindPatternHQ⚜️ retweeted
Things I stopped romanticising after studying human behaviour..
And you should too.. here's why... 👇 🧵
MindPatternHQ⚜️ retweeted
Kling 4 is live on Buzzy.
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MindPatternHQ⚜️ retweeted
How people got rich in 2017:
• Bitcoin
• Dropshipping
• Amazon FBA
How people will get rich in 2027:
MindPatternHQ⚜️ retweeted

Rohan Paul@rohanpaul_aiOct 21
South AsiaConnected via South Asia Android AppAccount-level information, not a live location or per-post device.
An agent smarter than its user would also be better at persuading them.
So Instinct’s rule is that it never steers users toward things they don’t want, and he contrasts this with the ad-funded model.
@noahrshinn, CEO of @Instinct, gives a specific example: an agent using its intelligence to convince users to buy or subscribe to things they don’t want.
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From "Invest Like The Best" YouTube channel, (link in comment)
🤝 Paid partnership
MindPatternHQ⚜️ retweeted
YOUR MARRIAGE IS BORING BECAUSE IT HAS NO SIDE QUESTS.
Here are 18 side quests to complete before DECEMBER.. 👇 🧵
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5 Signs You Have got a Little Super Genius born At Home... 👇 🧵
1. Talks a Lot..
MindPatternHQ⚜️ retweeted
there is so much going on in the <30B model post-training space (especially with the growing focus on consumer applications).
a lab recently did some interesting work adding MLA (from DeepSeek) to Qwen3.8 27B to hillclimb on benchmarks. given that they are also working on brain-AI interfaces, it makes a lot of sense to finetune models of this class to make them faster + less verbose.
i also think open-source environments are a pretty good starting point these days for getting into model post-training at scale, especially when the goal is to focus on specific capabilities that align with broader RnD efforts.
MindPatternHQ⚜️ retweeted
The most valuable organic content training you'll ever watch:
Timestamps:
0:00 Intro - Organic content masterclass
2:48 Organic is a funnel
7:09 How we each post content
24:23 Strategy and formats - the 3x3
37:08 Starting simple
41:52 Ideation
44:50 Research and swipe files
1:01:22 Lead gen with comments and DMs
1:10:14 Profile optimisation
1:12:07 Conversion - DM setting
1:19:54 Data tracking
1:26:44 Audience growth
1:28:19 Lever 1
1:30:01 Lever 2
1:31:23 Lever 3
1:35:59 What to do if it's not working
1:42:06 Longevity
1:47:21 Outro
Disclaimer: This content is for educational purposes only. No income is guaranteed. Million-dollar months are not typical and should not be expected. We don’t promise results. Always do your own due diligence.
MindPatternHQ⚜️ retweeted
Someone took Qwen3.8-27B and trained it strictly on open-source RL environments. It scored 76% on Terminal-Bench 2.1 and uses 2.3× fewer output tokens to solve tasks.
They also have an MLA version that significantly reduces KV cache memory, potentially allowing more concurrent agent sessions on a consumer GPU.
















