Wait WHAT?! I’ve been buying ebooks off BookWalker and it’s so annoying. Their reader app sucks and they have these faux-protective constraints like not permitting a “copy” function on any highlighted text and limiting a book to no more than 50 highlights. It’s so silly… Edit: damn, had assumed you meant maximum nerd mode and that these books were available in Japanese… looks like it’s all English translations. So it goes.

Being lazy here, but would love to know more about how testing for all of these plastics chemicals that are omnipresent is done in a way that ensures the measurement process or tools themselves do not contribute trace chemicals (e.g. lab tech wears latex gloves while handling the sample, whoops, etc).

They go into significant detail about their sample handling as well as documenting potential sources of contamination here: https://www.plasticlist.org/methodology

Nice and thank you! Will now go head my head in shame for not having bothered to click the “menu” icon on the main report :facepalm:

Congrats David & the whole team! Really enjoy everything Sakana AI produces and always look forward to your research results.

If you enjoyed this article I’d recommend checking out the book _Moonwalking with Einstein_ by Joshua Foer. Great read and fascinating dive into the lives and practices of individuals that participate in memory competitions.

Data team manager here, qq: how do you handle type conversions between different systems? Nice work overall!

(Polytomic co-founder here)

We automatically do the right thing depending on the situation. The type engine is highly-precise when we generate our own schema. For example, JSON objects and arrays get converted to native struct and array types in data warehouses (e.g. Databricks, BigQuery) rather than strings.

But we're forgiving in other situations where we don't control schemas. For example, we'll automatically convert a source string type to a date when mapping to a Salesforce or Zendesk (or other cloud app) date field.

For someone familiar with the science can you comment on the typical uncertainty/variation in epigenetic age measurement? I love error bars, wish they were mandatory.

Plus one, scrolled through waiting for someone to mention this one.

I don’t typically reread fiction but the poetic style of writing, combined with great scenes and characters makes almost any page worth a reread from time to time.

Sometimes I wonder if I’ll ever find a book as good across so many dimensions…

Awesome, I read this years ago and have always kept it in mind ever since. Just wanted to say thanks for writing/co-authoring it!

I think this quote from a recent New Yorker article[1] sums up a subtle difference that’s easy to overlook. Topic has been on my mind a bit lately[2]:

“Chandlee, who spent more than twelve years at Mark Zuckerberg’s company before moving to TikTok, dismissed the idea [of concern over competition from Facebook]. “Facebook is a social platform. They’ve built all their algorithms based on the social graph,” he said, referring to the network of links to friends, family, and casual acquaintances that Facebook users painstakingly assemble over time. “We are an entertainment platform. The difference is significant.””

[1] https://www.newyorker.com/culture/cultural-comment/tiktok-an...

[2] self plug, short set of questions on the recent Instagram makeover flop: https://kvncnnlly.bearblog.dev/copy-to-copy-copy-to-change/

I thought it was a nice summary, concise, organized, with examples and references. Will revisit it should I need a reminder on scraping. Would not call it low quality at all.

Would recommend you ignore passing comments with no constructive criticism. The title is going to be a point of contention as it’s a big claim and probably being misinterpreted as not “everything you need to know [to get started]” but rather “everything you need to know [ever is in this one article and you’ll need not read anything else]”.