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Do you have a reference for that?


I believe this was a joke. Papers compare trained models to "ground truth" to determine accuracy. Ground truth refers simply to the correct answers, but, the way it's used grammatically, you can interpret it as another model called "ground truth" which has a 100% accuracy at all tasks.


I sympathise. I have a 16in M1 Max, coming from an LG Gram 17. I can't fault the power of it, but the heft isn't ideal for me.

I'd welcome a 15in or 16in Air. The rumour mill suggests a 15in Air is in the works. However, I'm now used to the 120Hz display of the Max, which I suspect wouldn't be an option for the non-pro models...


Nice to see Dunbar's Number validated with real world data.


Why not just celebrate it for being neat, rather than berate it for not living up to your expectations?

I thougbt it was interesting, and it has inspired me to try something similar on my pico. Especially after rereading Code recently.

Oh, and I assume that tinycpm is because it runs on a Tiny 2040.


it looks like a fine project; it just has a deceptive name


Actually, I read both the first and second editions this year. Was looking forward to the second edition, and preordered.

Sadly, it didn't quite live up to the impact of first book. Whilst it's mainly the same, there are a couple of areas where the pacing is a bit uneven. He has an overlong chapter on creating a clock. And his later chapters on programming in higher languages, with examples in javascript, are not as compelling as the earlier stuff.


That was my observation as well (didn't read the 1st ed.). The middle third of the book is very dense and a lot of concepts will have to be kept in mind as the CPU is built up from plain transistors. It was all new to me, so challenging.

In the last third however, higher level concepts, languages etc. are introduced, and there's nothing new or even very interesting in that part for anyone with a year or more of regular coding experience.


Not sure I personally understand the point you're making. Are reading and deploying to production activities that are mutually exclusive in your life?


Time spent reading books is time not spent deploying. The only thing that matters is deploying.


I am deeply saddened to hear this Pēteri...

Hopefully your state is transitory and you will find balance again.


Maybe he will bring balance to the force?


Lulz


Wasn't the inspiration for Hadoop not just a web crawler use-case, but also Google's famous MapReduce paper?


Yes and no. The goal of the Nutch project was simply to create a web crawler, but it hit some scalability limits. Since Google had recently published two papers (MapReduce and Google Filesystem) that were quite relevant to scaling data processing and storage for a web crawler, Doug and Mike created an open source implementation of those ideas and redesigned the web crawler to use it.

The technology had many applications beyond a web crawler, of course, but that was the original use case.


Athena is more of a wrapper over Presto / Trino than Hive. It does not run map reduce per se over your data - its a SQL engine.


AWS Glue Data catalog is Hive, and as you mentioned, Athena is a wrapper of Presto


I remember hearing a story (probably apocryphal) about a mainframe that was so redundant that it had to be physically dismantled and moved from one datacentre to another across town, and did so whilst remaining up the entire time.


Presumably he means the Satoshi in the article. Not sure why GP being downvoted for their evocative reverie of puzzle questing...


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