evergreener

Is there an intuitive explanation of why shrinkage of a material is beneficial for superconductivity. Naive question, particles physicist by training.

Is it known to anyone how OpenAI (and others) are extending the context windows of things like ChatGPT so far? E.g. if you exceed 2048/8192 (subword) tokens, does the model just chunk the inputs and evaluate separately on the chunks? Is context/state maintained across chunks? I've never seen anyone actually explain this.

I would say i) having a relatable project which I came up with/collected data for/built out/productionized, so I could talk about a real data science project during interviews that didn't require a ton of background ii) having a cohort of very motivated people to learning with/from iii) interview prep with experts, both technical and not.

As a 2019 Insight alum, I can't say more good things about the program. As someone who has now been on the other side of hiring, I can say that the fellows from the program really differentiate it from every other 'bootcamp' (I wouldn't call Insight a bootcamp as there are no real tests/homework/etc, but of course lots of expectations set by the program directors).

Unfortunately, Insight kind of imploded like most other talent recruiting did during the pandemic, laying off basically the entire staff and not having a spring 2021 cohort (and I have no clue what ended up happening with the fall 2020 cohort). I believe they are trying to revive it, albeit at a smaller size and likely with the ISA. I truly hope they succeed as it was a fantastic program. I also hope they stay small.