Just more focused places to find it, I think. I loved the historical seafaring stories that DI would post, but then I realized that there were subject matter podcasts that dug into these stories even more. So I think it was just specialization taking over.
Admittedly, I haven't read DI in quite a while, but seeing this post brought back a flood of memories from my college days of waiting for the next article to drop. This blog was the precursor of an entire genre of "generally interesting shit" that has kind of underpinned most of the spirit of podcasting today. Shows like 99PI, Stuff You Should Know, RadioLab and so on owe I think a little something to this blog.
The amount asked for is meager, and I was more than happy to throw some bucks at it.
There is no such thing as a complete piece of information and it is unreasonable to expect every published piece of every bit of information to contain all required context to understand it. I'm not defending the Yale article's basic miss on the information, but rather your laziness on looking for more information when something came across your purview.
If someone said to you "hey, I heard they're pulling back on measuring ocean currents, isn't that shitty?" Would you get defensive and start yelling at them about not providing the "other side"? No, you'd say "whoa, I better figure out what's going on here" and make it a point to dig more, not sit there and bitch and moan about incomplete information. Yale.edu isn't a news service, it has no obligation to "both sides" a story for you.
Furthermore, what even would be the point of anyone regurgitating that hopeless pile of words the NSF's chief barfed out (apart from illustrating that's all they have as an explanation)? You mistakenly gave the administration the benefit of the doubt here when you really had no business doing so.
> Michael England, a spokesman for the National Science Foundation, said the decision to dismantle the network, known as the Ocean Observatories Initiative, “aligns with N.S.F.’s wider strategy to have a nimbler approach to prioritizing support for evolving scientific priorities and emerging technologies as well as a deliberate approach to smart life cycle management within its portfolio of research infrastructure.”
1) it's not hard to do your own research. If you're here, I assume you know how.
2) does that answer satisfy you? The bullshitty word salad doesn't surprise me. With this administration I expect incompetence and double speak and am rarely disappointed. I wonder why at this point in time you choose to give them so much leeway.
Nonsense. The goalpost is "this is as good as a senior engineer". A senior engineer can easily understand architectural rationale. Don't dismiss my argument because it's inconvenient to yours.
I'm not sure what your background is, but as a staff level engineer, I can assure you they do not. They in fact seem to lack any understanding of architectural intent within a sufficiently large code base. This seems obvious since they can't fit the entire code base in their context at once.
We have many folks (not engineers) at our company using LLMs to open PRs, and every one of these PRs has profound architectural design problems.
I've been using it mostly to bat away yak shaving rabbit holes one can get into when working on a large and complex project. I work mostly on platform work, which is generally nebulous in its feedback loop and testing. Relegating AI to refactoring and building tools to help me research keeps me focused on solving the actual main problem I'm trying to solve, reduces context switching. I really don't understand people who use it to bat out their main focus. I simply don't trust it at that level.
So I guess I should just give up on my dream of having a useful AI assistant for day to day "human" tasks. We're just hell bent on replacing humans in jobs.
How is it not true? Theres a world of difference between predicting the next word of a sentence in a summary and understanding the tenets of mathematics. You're mistaking general application of mathematical knowledge with memorization of mathematical outcomes.