Hacker News Reader

wschfdkbrmcdfon Google was founded 25 years ago today

It doesn’t matter in the slightest which Party you prefer

wschfdkbrmcdfon Amsterdam to use “noise cameras” against too loud cars

Agreed, the average tech worker / HN reader is painfully left-authoritarian and/or oblivious

wschfdkbrmcdfon Dirty downside of 'return to office'; ending WFH could make climate crisis worse

Ah yes, the "climate emergency". Aka total bullshit cooked up by the Malthusians in charge of UNESCO etc in order to control the sheep

wschfdkbrmcdfon I ditched my car – and improved my fitness, sleep and bank balance

You vill own naaaasink unt be haapy!

wschfdkbrmcdfon Ask HN: How do I/you prep for the energy crisis in EU?

It's not too late to invest in mining and energy extraction equities - many are still highly underpriced before the major funds roll into the sector

wschfdkbrmcdfon A Short Chronology of Deep Learning for Tabular Data

Fully agree! In the case that tabular data means business process records, there's absolutely no need to use anything more complicated than a principled statistical model. Focus on the quality of the data and the business problem, not exotic ML.

In more detail: the business data is prone to: evolving processes / systems / products / markets / customers; errors / omissions / corrections; tail events; hirings / firings; data loss; etc etc. The datasets tend to be small, messy, complicated, subjective. Nothing about this suggests needing a large, complicated model.

wschfdkbrmcdfon Dropshipping: Hustlers making millions from goods they never handle

It’s the BBC

wschfdkbrmcdfon Preliminary analysis of 11 Novel Coronavirus genomes from the Wuhan outbreak

Thanks for the research!

And yes... rather worrying...

wschfdkbrmcdfon Preliminary analysis of 11 Novel Coronavirus genomes from the Wuhan outbreak

I'd be surprised if geographical proximity to a BLS4 made much a of a difference to what would otherwise be a rudimentary swab & routine inspection (if that was even done at all).

As Kristian Andersen notes, the background noise of flu season would surely drown out the weak signal of an unknown novel virus. Then to not only notice the weak signal but act on it so quickly to do primary research and characterise it as a novel virus within such a short timeframe?

Seems far less likely than simply the effect of poor operational standards.

wschfdkbrmcdfon Preliminary analysis of 11 Novel Coronavirus genomes from the Wuhan outbreak

Good find

wschfdkbrmcdfon Preliminary analysis of 11 Novel Coronavirus genomes from the Wuhan outbreak

That comment on that page from Kristian G. Andersen is mildly disturbing (http://archive.is/O1vhN)... As Associate Professor, Scripps Research, Director of Infectious Disease Genomics, SRTI etc etc I assume he knows what he's talking about when he states:

"That means that the outbreak was detected almost immediately after the first case, which - given that this is flu season in China - is just amazing. Detecting an outbreak of pneumonia (similar to flu) of a novel coronavirus that fast is truly impressive."

I'm not sure I really want to wear this tin-foil hat, but it would certainly be easier to identify a novel coronavirus if it came directly from your own BSL-4 lab in Wuhan https://www.nature.com/news/inside-the-chinese-lab-poised-to...