Viewing profile — extasia

politics really is the mind-killer

For what it’s worth, my second year of PhD was relatively miserable compared to my first and third. ignore the prestige games, knuckle down and do the best work you can do- it’s mo…

I wrote my own agent state machine in pretty much pure async Python (no libs). Running successfully in prod with very few issues. I use the OpenAI messages spec, and have the messa…

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That sucks- I’m sorry you had that experience! I was considering signing up today, based on this I won’t. I have had a great experience with gemini-cli, which may interest you: it …

the professor vs PhD mode made me chuckle in your UI. looking forwards to seeing your agent’s critique of my paper!

A reflection on what I unexpectedly gained when I lost my beloved headphones. Keen to hear if anybody else has had similar experiences of this phenomenon!

Wisdom is taking your own advice. Words that I’ve found easier to accept the value of than to extoll. Trying is the first step to failing I guess;)

@dang This person is a bot, read other comments of theirs please.

That’s not mathematically accurate though, is it? We haven’t reduced the dimension of the vector by one. Pray tell, which dimension do we lose when we normalize, say a 2D vector?

Magnitude is not a dimension, it’s information about each value that is lost when you normalize it. To prove this normalize any vector and then try to de-normalize it again.

Interesting, I hadn’t heard of two tower modes before! Yes, I guess it’s curious that the information lost doesn’t seem very significant (this also matches my experience!)

This is not quite right; you are actually losing information about each of the dimensions and your mental model of reducing the dimensionality by one is misleading. Consider [1,0] …

Hia, I'm working on a query-builder tool for searching medical databases that translates a clinician's natural-language query into an existing IR which maps onto SQL. This entails …

> Binface announced a series of satirical policies for the 2019 general election, including: Bringing back Ceefax, the teletext service.[9] He had previously promised to bring back…

Facebook released a general purpose Segment Anything Model (SAM) recently and it's been well received in industry afaict. Might be a good place to start

I think it should be MOD or MoD in the title not Mod, as it's an acronym (Ministry of Defence)

They're poor at recollecting the exact descriptions of the ~150,000 ICD codes, which is why these other approaches [1,2] give the known information (codes) in some way to the model…

Thanks for clarifying, that's definitely a more well thought through perspective than I gave you credit for before. I guess I would avoid updating my beliefs too strongly when a me…

I strongly dislike arguments like this. Because you can apply them to basically any metric and I find that they are generally used to cheaply discredit a potentially interesting fa…

I've also had this thought, but found that inspecting the type shows its by default a dictionary, and that it only is interpreted as a set if you treat it as such (eg add comma-sep…

Do you believe that meat consumption is the prime causal factor?