nehalem (u/nehalem) - Readit News

nehalem commented on Nanonets-OCR-s – OCR model that transforms documents into structured markdown huggingface.co/nanonets/N... · Posted by u/PixelPanda

souvik3333 · 2 months ago

We have trained the model on tables with hierarchical column headers and with rowspan and colspan >1. So it should work fine. This is the reason we predict the table in HTML instead of markdown.

nehalem · 2 months ago

Thank you. I was rather thinking of magazine like layouts with columns of text and headers and footers on every page holding article title and page number.

nehalem commented on Nanonets-OCR-s – OCR model that transforms documents into structured markdown huggingface.co/nanonets/N... · Posted by u/PixelPanda

nehalem · 2 months ago

How does it do with multi-column text and headers and footers?

nehalem commented on Apple announces Foundation Models and Containerization frameworks, etc apple.com/newsroom/2025/0... · Posted by u/thm

nehalem · 3 months ago

I wonder what happened to Siri. Not a single mention anywhere?

nehalem commented on DuckLake is an integrated data lake and catalog format ducklake.select/... · Posted by u/kermatt

nehalem · 3 months ago

I wonder how this relates to Mother Duck (https://motherduck.com/)? They do „DuckDB-powered data warehousing“ but predate this substantially.

nehalem commented on Ironwood: The first Google TPU for the age of inference blog.google/products/goog... · Posted by u/meetpateltech

nehalem · 5 months ago

Not knowing much about special-purpose chips, I would like to understand whether chips like this would give Google a significant cost advantage over the likes of Anthropic or OpenAI when offering LLM services. Is similar technology available to Google's competitors?

nehalem commented on Litestack: All your data infrastructure, in one Ruby gem github.com/oldmoe/litesta... · Posted by u/thunderbong

nehalem · 8 months ago

This looks great!

Is anyone familiar with something similar for Python in general and Django in particular?

nehalem commented on The expected value of the game is positive regardless of Ballmer’s strategy gukov.dev/puzzles/math/20... · Posted by u/gukoff

nehalem · a year ago

I wonder whether the search algorithm would need (and can?) to be adjusted to respond to the increased probability of playing numbers that are hard to find with standard binary search.

nehalem commented on Golink: A private shortlink service for tailnets github.com/tailscale/goli... · Posted by u/drunkendog

nehalem · 3 years ago

Big fan of Tailscale, yet I wonder whether it wouldn’t be better to make internal services securely available over the internet (zero trust rather than castle-and-moat). On the other hand, the former might be just to expensive for smaller organisations.

nehalem commented on Simutrans Turns 25 blog.simutrans.com/?p=244... · Posted by u/somat

nehalem · 3 years ago

Could somebody that knows both explain how Simutrans compares to (Open) Transport Tycoon Deluxe?

nehalem commented on Germany pushes for ‘pay as you fly’ model businesstravelnewseurope.... · Posted by u/helsinkiandrew

ginko · 3 years ago

> Allowing punitive damages would be a major change to the foundations of German civil law.

There ARE punitive damages the airline has to pay you if they cancel or delay your flight. It's EU law. See the sibling comment.

For instance if they cancel or delay a flight over 1500 km in the EU you're entitled to 400 Euro compensation on top of cost of ticket and other expenses you had due to it.

nehalem · 3 years ago

You are correct that the provisions of EU law can be construed as punitive damages. That’s why I emphasised the German legal tradition. Also, those damages do not apply in all possible situations of cancelled flights and they do not punish withholding refunds for no reason. If the airline cancels three weeks prior and then refuses to pay, the EU law does not apply and the behaviour we would like to disincentivise is not to honour the refund claims rather than the cancellation.

u/nehalem

KarmaCake day93April 21, 2021View Original