mechanical_monk
@mechanical_monk
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Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
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@bashu_thanks in a bit, when we settle in a bit more and furnish it a bit more and such!
Non-market content (a personal reply about settling in and furnishing). No financial information, catalysts, or tradable implications.
you know you can paste the script into any AI chatbot released in the past 2 years and it'll instantly rewrite it in ...
Commentary that modern AI chatbots can quickly rewrite code/scripts into other programming languages (e.g., Rust/C). No market, company, or ticker-specific information provided.
3rd time in ~2 weeks i'm watching a YT video where someone does some heavy compute (like analyze 400 million chess ga...
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
@djmicrobeads @almostnora oh wait are you coming for Jesscamp?
Non-financial social chatter; no market, macro, sector, company, or ticker-relevant information.
Proof-backed call history
These are recent thesis calls tied to original source content where available.
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
Anecdotal complaint that creators run heavy compute workloads in Python, leading to multi-day runtimes. Implies inefficient tooling choices and latent demand for faster compute/accelerated libraries, but provides no concrete catalyst, company mention, or timing trigger.
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@mechanical_monk
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