Readit Newsmanp2 commented on FAA orders grounding of more than 170 Boeing 737 Max 9s cnbc.com/2024/01/06/boein... · Posted by u/ephesee
Alaskan Airlines is notorious for taking maintenance shortcuts, this is likely not an inherent problem with the airframe but rather this operators SOP.
Alaskan Airline flight 261 is one example.
> The subsequent investigation by the National Transportation Safety Board (NTSB) determined that inadequate maintenance led to excessive wear and eventual failure of a critical flight control system during flight.
Source: https://en.wikipedia.org/wiki/Alaska_Airlines_Flight_261
isn't alaska airlines rated one of the safest airline?
What airline is safe these days?
manp2 commented on Vespa.ai is spinning out of Yahoo as a separate company blog.vespa.ai/vespa-is-be... · Posted by u/bratao
I was at Yahoo almost a decade ago, when vector search within Vespa was first being rolled out in production use cases. It was already serving similarity search requests for Flickr back then.
Even though I'm with Zilliz/Milvus now, I wholeheartedly support and recommend folks check out and try Vespa. Congrats to the Vespa team!
EDIT: For folks on Twitter, you should follow Jo (https://twitter.com/jobergum) from Vespa if you aren't already. Great combo of technical content, hot takes, and vector database memes!
any resource for one to learn on vector search? any textbook or whitepaper recommendations?
I am learning lsh right now and find it fascinating
question, why aren't we building more nuclear power plant like china?
isn't gen 4 reactor safer?
During my university studies, I found it surprising that although some topics from advanced courses might be applicable in certain jobs like at Jane Street, interviews often emphasised the fundamentals and understanding of basic concepts such as basic probability theory, rather than some specialised knowledge in Lie processes.
If you look through this PDF it does not even cover a 1.semester course in probability theory from a bachelors degree in CS/math.
I always go back to this lecture series to brush up my fundaments. https://projects.iq.harvard.edu/stat110/youtube
I heard convex optimiztion techniques are widely used as well, is that true?
* It's true that my profile attracts many messages from recruiters. However ghosting is the name of the game. More than half of recruiters have ghosted me at different stages of the process. Overall I'd say that attention from recruiters is a great vanity metric for your ego, but it means shit unless you can convert that into job offers.
* Although there is a lot of demand, the bar for hiring is also very high. Specifically companies are looking for someone with experience in their exact tech stack. Given there are a few major ML frameworks and I'm only familiar with one of them, that rules out a lot of jobs. In one case a company screened me out because I only had 6 years of experience in a particular tech instead of their required minimum of 8.
* So far my only outcomes have been 1 rejection and 2 downlevels to senior (I'm targeting Staff+ positions). Although I haven't been dedicated to job hunting, I haven't been successful either at receiving an offer.
* In terms of salaries, most companies tend to top out around half of my current comp. I have only spoken with less than a handful of companies that could offer more. I guess that has always been the case with FAANG, but seems more pronounced now.
Overall I think that currently the job market for ML Engineers is still better than for Software Engineers, but it's nothing like the fever dream market of 2020-2022.
Best of luck to your job search, god speed