Earlier quoted context omitted.
Yes, doctors are safe. Because they do things. With their hands. That no one else does.
Also, a hallucination for 'SELECT mising_field FROM borgus_tuble' is one thing, hallucinating that taking a dose of Cl Na O along with CH3 CO2 H will cure covid is another thing entirely
Smallpond – A lightweight data processing framework built on DuckDB and 3FS
51–60 of 75 posts
Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#52Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#53Earlier quoted context omitted.
Nope. Healthcare megacorps are buying up independent practices like crazy. All because doctors can't keep up with the bullshit IT required for insurance, state mandates, etc and that's in addition to the insanity of even renting commercial real estate for an office these days. These megacorps set quotas and push doctors to nickel and dime like crazy. They sure as shit will spend the money to find robots that can give…
Sounds good; if all these pro-AI folks could get it to complete the insurance paperwork that'd be swell. Actually, come to think of it, do that for the paperwork from both sides, doctor and patient, and eliminate and entire class of leaches upon humanity I'm going to laugh if DOGE eliminates the IRS, but also might be thankful
Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#54DuckDB itself is cool enough, especially when combined with SQLite and/or PostgreSQL, and now this. Thanks DeepSeek!
Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#55If you want to checkout duckdb try QStudio. It's a free sql client with duckdb integrated: https://www.timestored.com/qstudio/help/duckdb-sql-editor . Disclaimer: I'm the main author.
Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#56Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#57We are seeing more and more specialized query engines. This is a query engine specialized for training pipelines. It is not general purpose - it is for providing batches of training data at workers. It uses Ray for parallelization. The kind of queries you need are random reads (to implement shuffling across epochs), arrow support (zero copy to Pandas DataFrames), and efficient checkpointing.
Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#58Earlier quoted context omitted.
Give up and become what? Most white collar jobs will be automated in the coming years. You think doctors' jobs are safe?
you can already google the information , the majority of a doctor's value is not in their information but their people and technical skills.
Not even that, in the last years I haven't met a single doctor who would even care. Their value is now a necessary evil, they have the legal powers to recommend you to a hospital and give prescriptions. These legal powers will be much harder to change.
Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#59Re: Smallpond – A lightweight data processing framework built on DuckDB and 3FS
#60One thing I found peculiar is that for the GraySort benchmark it dispatches to Polars by default to do the actual sorting, not DuckDB: https://github.com/deepseek-ai/smallpond/blob/ed112db42af4d0... .
The function argument defaults to polars, but the actual benchmark code sets duckdb by default. https://github.com/deepseek-ai/smallpond/blob/ed112db42af4d0...