11–20 of 24 posts
It’s not just tech workers, it’s also tech projects. Compare how minio has advertised itself through the years: 2023: High Performance Object Storage for AI [0] 2022: High Performance, Kubernetes Native Object Storage [1] 2020: MinIO is a high performance object storage server compatible with Amazon S3 APIs [2] I get that buzzwords and marketing are important, but it rubs me the wrong way [0] https://web.archive.org/…
It’s not just tech workers, it’s also tech projects. Compare how minio has advertised itself through the years: 2023: High Performance Object Storage for AI [0] 2022: High Performance, Kubernetes Native Object Storage [1] 2020: MinIO is a high performance object storage server compatible with Amazon S3 APIs [2] I get that buzzwords and marketing are important, but it rubs me the wrong way [0] https://web.archive.org/…
If you can rebrand yourself as an "expert" in some shiny new thing by spending a few weeks at a boot camp, there probably isn't much there and you will be competing for the same jobs against countless others who did the same. I managed to completely ignore the cool new thing for the last 20 years and instead slowly built up knowledge in those problem domains that actually interest me, and it's worked out alright.
Actually developing models is a much smaller field (in terms of jobs) and the overlap with software engineering is small. I’m sure you can make a lot of money in it, but you’re better off coming at it from data science.
A UK perspective on this is that the AI trend, as described in the article, would quickly turn into a class divide. Many employers in AI/ML spaces seem to want postgraduate degrees. Often the academic entry requirements to such degrees aren't that high (usually a bachelors degree with an "ok" mark like a 2:2 or a 2:1 min in a related subject - not exactly sky high attainment criteria) but the financial barriers are r…
Anyone taking out loans for a PhD in the UK is a fool. Not only are our PhDs generally less well regarded than those from the EU and US, but there is also an abundance of grant funding available. If you can't get paid as part of a grant (and hence have fees taken care of) for a PhD here, then either the field of study has little economic value, or you are not considered good enough.
half of them likely were crypto experts year ago.
half of them likely were crypto experts year ago.
Modern ML has been totally different for me. It was janky before the craze, it is still janky as heck, and the ML community has its own unique blend of manic, reckless myopia and scammers. But the deeper I go, the more mind boggling it gets.
half of them likely were crypto experts year ago.
A UK perspective on this is that the AI trend, as described in the article, would quickly turn into a class divide. Many employers in AI/ML spaces seem to want postgraduate degrees. Often the academic entry requirements to such degrees aren't that high (usually a bachelors degree with an "ok" mark like a 2:2 or a 2:1 min in a related subject - not exactly sky high attainment criteria) but the financial barriers are r…
Even at fairly mature companies, fully utilizing a top tier ML expert may require the equivalent of 6-10 SWEs.
Anyway, while no one knows what the future holds, right now it doesn't seem like many companies are looking to actually take on AI as a core capability, they're looking to leverage open source tools. I'm at a large company right now that's betting pretty heavily on AI and we're thinking of bringing on 1 maybe 2 ML specialists over the next year. My friends at other large tech firms report similar plans.