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ginger_beer_m

17 karma · joined February 8, 2015

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ginger_beer_m··on Why building a startup is probably your most sensible career path
Do you get enough paying customers for your startup? I imagine labs tend to be hesitant before they approach startups for solutions to their problems..
ginger_beer_m··on Why building a startup is probably your most sensible career path
Yeah, working in academia, with its endless proposals and grant applications, is a bit like running a start-up that never succeeds.
ginger_beer_m··on Inside Palantir
> “We’re looking to do transformational work with our customers,” Gavin Hood, Palantir’s chief of staff, said in an interview with BuzzFeed News. “Finding the right partner to do that transformational work takes a lot of care and a lot of attention.” He added, “There’s a lot of reasons why that doesn’t always work out.”

Sure it's hard to find suckers who will give you million of dollars for poorly defined return.

ginger_beer_m··on Inside Palantir
it appeals to that primitive instinct of belonging to a pack, fostering an us-vs-them mentality. this way, you are less likely to leave and are encouraged to give your 110%
ginger_beer_m··on Ask HN: Who is hiring? (May 2016)
Being a small startup (?), are you sure you have the capability to sponsor visa?

I'm also concerned by the fact you're looking for someone to work on NLP/deep learning stuff, which forms the core offering of your company, but that person will be an engineer rather than standing on equal footing as a co-founder.

ginger_beer_m··on Ask HN: Who is hiring? (May 2016)
What's the position in glasgow for? Anything ML related?
ginger_beer_m··on “Extremely angry with the state of academic CS research right now”
I work in bioinformatics and I can confirm that most biologists feel very uncomfortable in the idea of having to touch LaTeX. As a result, in our collaboration project, I'd have to survive with using Word+endnote. It's a fairly painful experience..
ginger_beer_m··on Word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
I know word2vec and LDA separately, but what does this work do? Somehow combine the word similarities from word2vec when forming LDA topics?
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