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Ex-Quant Trader. Unapologetically miserable. Views are my own.

Shaolin
Joined March 2013
Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)Photo by elPythonQuantador (@ThePythonQuant)
I’m going to write shorter threads from now on to make them more manageable to write. They’ll all be listed below in no particular order!
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Recommendation for cheaper alternative to grok bot as since new billing has come in it sucks
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elPythonQuantador retweeted
Peace begins with remembrance of Allah May our hearts always stay connected to Him
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elPythonQuantador retweeted
- Restaurants have no moat. - Anyone can vibecook their own meal. - You can build your own burger at home at a fraction of the cost it takes you to get it from a restaurant. - If a restaurant builds a really good recipe, copycats will instantly reverse taste it and steal it. Restaurants are dead.
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elPythonQuantador retweeted
Hug your hedge fund manager.
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elPythonQuantador retweeted
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Replying to @salr_nyc
He’s a legend
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Replying to @SFJB_DMNTN
I’m on a mental health break from manutd
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Replying to @therobotjames
Anthem by less than Jake All praise to the ska punk gods
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Replying to @mandelbot_
1) Yes 2) You just do tbh
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I just put my baby to sleep AMA
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elPythonQuantador retweeted
We got your back, New York!
Readers added context they thought people might want to know
Several figures here aren’t federal results or NY-specific. The $472B combines US wide pledges: Micron's $250B is nationwide (NY site $100B) Anthropic's $50B covers TX and NY. The 48% murder drop is from NY's state run GIVE program (28 departments, Jan – May 2026). arkolith.com/news/news-micr… therepublic.com/?p=843020 governor.ny.gov/news/safer-str…
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Is this not mad?
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training. We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵 Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math. rikiyat.github.io/blog/weight-sp… github.com/RikiyaT/lm_und… huggingface.co/Qwen/Qwen3.5-0… huggingface.co/RikiyaT/Qwen3.…
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As I’ve entered my 30s, I totally agree
The single fastest way to improve your entire life is to sign up for a physical side quest. Race. Competition. Adventure. Whatever. Your day becomes more structured with the training. You sleep deeper because you're tired. You eat cleaner. You look better. You feel better. Everything falls into alignment. It's a psychological process disguised as a physical one.
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Where my equity statarb bros at
I cannot stress how accurate this is.
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Grokbot group chats are a work of fucking art.
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Having kids was like a nuclear bomb going off for my career progression and I don't really care in the slightest
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elPythonQuantador retweeted
The ability to build anything has come with a critical lesson: Engineers have really, really bad ideas.
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