noosphr

33 ms·

871.
by noosphr 1y ago
Driving for Uber in 2010 was amazing. There were plenty of people on HN who signed up for the app to drive people back home before and after work. Being able to see your car move in real time on the uber database with >2s lag between you
872.
by noosphr 1y ago
>It's about time we start seeing more physicality in our user interfaces! I'm not sure if this is a joke or not. We had that, it was called skeuomorphism: https://miro.medium.com/v2/da:true/resize:fit:
873.
by noosphr 1y ago
https://www.xp-pen.com/product/artist-pro-24-gen-2-4k.html 4k and quite affordable. And it's a real screen the rest of the time. Like I said the main quality of life improvement has been xournalpp. Development in
874.
by noosphr 1y ago
Those are job shops, there are no old school production lines left in the US. Here's what they used to look like from a century ago: https://www.youtube.com/watch?v=Xa0PAg7FfMk&t=350s
875.
by noosphr 1y ago
I used computers for a lot longer than 7.5 hours a day. Doubly so since I got a home desktop with a tablet display and 3 other screens. I find that the reason why productivity in offices is so low is that: 1). The available screen real esta
876.
by noosphr 1y ago
What you're talking about is software machining, not software engineering. The difference between the blue collar machinist and the white collar engineer is exactly this view of the machines they use. For an engineer a machine - be in
877.
by noosphr 1y ago
I have a 24 inch pen display. The last time I worked as a CTO I bought them for the whole team. Being able to redraw things on a shared digital white board beats having to redraw the same 4 boxes a dozen times because you keep running out o
878.
by noosphr 1y ago
That's what google scholar is for. Use it to find the meta analysis papers and go from there. Which incidentally shows why RAG just means vector store + embedding model, since your definition means different things to different people
879.
by noosphr 1y ago
Than it must be able to search every book and paper ever written because when it comes to deciding if an algorithm is correct I need to read the original paper that defined it and any updates in the literature since then. Since that rag sys
880.
by noosphr 1y ago
I build these systems for a living, and I just made a post about why code is different from natural text: https://news.ycombinator.com/item?id=44107379 RAG is useful for natural text because there is no innate logic in how
881.
by noosphr 1y ago
For general text you run some type of vector search against the full-text corpus to see what relevant hits there are and where. Then you feed the first round of results into a ranking/filtering system which does pair wise comparison be
882.
by noosphr 1y ago
>I expect things to get better, this will not always be the state of things, but for now “vibe coding” (specifically not reviewing/writing code yourself) is not sustainable. It will not. And I say this as someone whose been building
883.
by noosphr 1y ago
After putting off learning JS for a decade, I finally bit the bullet since I can talk to an LLM about it while going through the slog of getting a mental model up and running. After a month, I can say that the inmates run that whole ecosyst
884.
by noosphr 1y ago
A c program is understandable even if it isn't efficient. It's also deterministic, or close enough that it shouldn't matter. An llm project that can be generated from scratch every time is maybe understandable if you use very
885.
by noosphr 1y ago
All those customers are also building their own chips. Having been a partner for Microsoft research I've also had them try and patent the stuff we were providing them. In short with megacorps the only winning move is to fuck them faste
886.
by noosphr 1y ago
A charity focusing on their mission instead of making money? Inconceivable!
887.
by noosphr 1y ago
>How does Google have the best models according to benchmarks but it can't do anything useful with them? KPI driven development with no interest in killing their cash cow. These are the people who sat on transformers for 5 years bec
888.
by noosphr 1y ago
Without going into too much detail: the complexity space of tensor operations is for all practical purposes infinite. The general tensor which captures all interactions between all elements of an input of length N is NxN. This is worse than
889.
by noosphr 1y ago
There's not much to say. Doclaynet is the easy part and with triple the usual resolution the previous gen of yolo models have solved document segmentation for every document I've looked at. The hard part is the table segmentation.
890.
by noosphr 1y ago
This is a problem with Ubuntu and not VirtualBox. I spend a few hours today fighting with 24.04.02 in libvirt only to realize that they are using some fancy new GUI library for the installer which crashes on all VMs: https://www.
891.
by noosphr 1y ago
Because the testing pipeline isn't the real database. Anyone that knows a database well can bring it down with a innocent looking statement that no one else will blink at.
892.
by noosphr 1y ago
> So now that we brought down prod for a day the new rule is no AI sql without three humans signing off on any queries.
893.
by noosphr 1y ago
It always is for the first week. Then you find out that the last 10% matter a lot more than than the other 90%. And finally they turn off the high compute version and you're left with a brain dead model that loses to a 32b local model
894.
by noosphr 1y ago
For non-table documents a fine tuned yolov8 + tesseract with _good_ image pre-processing has basically a zero percent error rate on monolingual texts. I say basically because the training data has worse labels than what the multi-model syst
895.
by noosphr 1y ago
A PDF corpus with a size of 1tb can mean anything from 10,000 really poorly scanned documents to 1,000,000,000 nicely generated latex pdfs. What matters is the number of documents, and the number of pages per document. For the first I can r
896.
by noosphr 1y ago
>replace their OCR pipelines with Flash for a fraction of the cost of previous solutions, it's really quite remarkable. As someone who had to build custom tools because VLMs are so unreliable: anyone that uses VLMs for unprocessed i
897.
by noosphr 1y ago
I've worked on this in my day job: extracting _all_ relevant information from a financial services PDF for a bert based search engine. The only way to solve that is with a segmentation model followed by a regular OCR model and whatever
898.
by noosphr 1y ago
It also has tramp mode which means you can use all your local packages remotely.
899.
by noosphr 1y ago
Screens main use case is to open an emacs session remotely. Tmux's main use case is to be glue for a unix IDE. The two use cases are rather different and the tools are very specialized for them.
900.
by noosphr 1y ago
>And while a VC fund is limited in what it can do in providing open-ended freedom. It can try to provide a meaningful simulacrum of that space and community, which is why I’m so excited about programs like 1517’s Flux that invests $100k

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