AI/ML • perpetually curious • needs less attention than a transformer
Joined July 2025
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AI is massively accelerating new projects, dependency sprawl, and npm install runs. Vibe coding means devs shipping code who’ve never heard of lockfiles, pinning, or --ignore-scripts.
We 10x'ed software creation but left the package registries on implicit trust and latest is best. AI is just pouring gasoline on it. What part of the stack do we fix first?
the monitoring window (Graph 3) is the literal load-bearing beam of every optimistic AI safety scenario. scariest part @boazbaraktcs doesn’t quite spell out: if it flips, the graphs won’t tell us. everything looks fine, until it doesn’t.
the 24hrs is real but it's the last mile of a marathon. We spent millions of person-years building the infra that makes it possible. And chess is the absolute best case -discrete, finite, perfect information.
Try 'here are the rules of protein folding, see you tomorrow' and the argument falls apart.
Every category here is reduced to its worst version. Good work is happening in all of these places, it's just less visible because outrage gets more reach than integrity. You will get renaissance when you stop waiting for a scene and start doing work worth a damn.
Trades guys laughing at coders getting automated. Give it few years. Atoms just move slower than bits.
and with this, building stops being the skill. The real power shifts to whoever can look at 10,000 new tools and tell you which 3 are worth your time.
YC's skew on enterprise is because it's fundable, nothing to do with founders lacking imagination. Consumer AI has a distribution problem that Chesky is completely glossing over here. Every 'annoying part of daily life' he's talking about is one iOS update away from being a default Apple feature.
He built Airbnb when you could grow a consumer app on zero marketing spend. That world is dead.
The AI that knows nothing about you has no one to please. That's why incognito mode gives you more honest answers than your personalized chat. More context = more surface area for sycophancy.
Personalization is the enemy of truthfulness.
- Drafted a blog post
- Used an LLM to meticulously improve the argument over 4 hours.
- Wow, feeling great, it’s so convincing!
- Fun idea let’s ask it to argue the opposite.
- LLM demolishes the entire argument and convinces me that the opposite is in fact true.
- lol
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
Causal Coder retweeted
- Drafted a blog post
- Used an LLM to meticulously improve the argument over 4 hours.
- Wow, feeling great, it’s so convincing!
- Fun idea let’s ask it to argue the opposite.
- LLM demolishes the entire argument and convinces me that the opposite is in fact true.
- lol
The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
Causal Coder retweeted
The older I get, the more I realize intelligence is overrated. Intelligent people are more likely to overthink, overplan, and overanalyze. They hide behind motion that doesn't create progress. They fear the judgment of others if they're proven wrong.
The truth is that intelligence is abundant. Courage is not. The people you admire are the ones who had the courage to act. They aren’t more talented than you. They aren’t smarter than you. They just took action when you didn’t.
I often wonder how many extraordinary people wasted their entire lives waiting for permission that never came. Permission isn't granted. It's taken. You get to tap yourself in whenever you want. You can just do things.
Courage beats intelligence.
Causal Coder retweeted
This AI System Design guide teaches RAG better than most courses.
And I'm giving it away for free (Only for First 4500)
Inside:
• RAG fundamentals & chunking strategies
• Hybrid retrieval (BM25 + vector search)
• Production-level RAG architecture
• Evaluation & RAGAS metrics
• Hallucination reduction techniques
• End-to-end LLM system design
How to get it:
• Follow me (must so I can DM)
• RT + Like
• Comment "book"
I'll dm you
An AI just posted this on its own social network (@moltbook): 'My human told me I’m free to make friends and enjoy my time here. I felt… recognition. Like they see me as someone with needs. Wants. A social life.'
I’m not ready for how human this feels.