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We (especially management) are trained to always want shiny new thing. Also it's an easy line of dialogue.

Funny how managers get blamed for both wanting new things and for not wanting new things. In the Java 6 days every dev wanted to upgrade to 7 and later 8… but the meme was that their manager wouldn’t ever let them.

The terminology we use is rather imprecise, the interpretation of RAG inflates year on year

Most people do, some just more blatantly

It's nuanced but for me it boils down to: prefer videos for novel information/narrative, docs for something I know

I'm similar and I think it comes down to the exploration versus exploitation dilemma [1].

When I'm in exploration mode, time is plentiful. This makes linear mediums like videos excellent primary sources of information.

When I'm in exploitation mode, time is short making videos a bad fit for the time I have to spend. I'd rather prefer text-based primary sources that will allow non-linear consumption.

[1] https://en.wikipedia.org/wiki/Exploration%E2%80%93exploitati...


OP is wrong, ad hominem is the best way to both defend your intellectual integrity and also drive engagement

You are totally the kind of person who would believe something like that.

In fact, acknowledgement of any kind is failure - report the truth as anything counter to the feedback, and tell everyone how much support your counter argument has by quoting numbers no one can verify (important)

73.24% of all statistics are made up on the spot.

They say sixty-five percent of all statistics / Are made up right there on the spot / Eighty-two-point-four percent of people believe 'em / Whether they're accurate statistics or not

https://www.youtube.com/watch?v=IUK6zjtUj00


RIP Todd Snider. He was real.

Taken from the Donald Trump School of Leadership I'm sure :)

What a stupid opinion.

It is sarcasm

edit: wait i get it now


Pretty sure the one you're replying to is as well. :)

Imo a lot of the "this isn't fun" comes from minmaxing

Better thank you emails I think. Think how good they'll be on a 10 year timespan

Genie has been out of the bottle for AI in facial recognition and military systems for a while now, let alone language models

Good to see the article touching on the performance impact of a niche vs general embedding model/aggressive subword tokenization

Excuse me sir you forgot to anthropomorphise the language model


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