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almoehi

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What I found in practise is that AI generated code is typically 30% longer than it should be compared to how an experienced senior would write it.

It’s not that it is wrong or anything - it’s just unnecessary verbose.

Which you could argue is not a problem if it won’t be read by humans anyways anymore in the near future.

Grant reviews are blind reviews - so you don’t know. Also - and even worse - there is no rebuttal process. It gets rejected without you having a chance to clarify / convince reviewers.

Instead you’d need to resubmit and start the entire process from scratch. What a waste of resources …

It’s the final nail what made me quit pursuing a scientific career path despite having good pubs & PhD /w honours.

Unfortunately it’s what I enjoy the most.

I’ve had written up a proposal for a research grant to basically work exactly on this idea.

It got reviewed by 2 ML scientists and one neuroscientist.

Got totally slammed (and thus rejected) by the ML scientists due to „lack of practical application“ and highly endorsed by the neuroscientist.

There’s so much unused potential in interdisciplinary research but nobody wants to fund it because it doesn’t „fit“ into one of the boxes.

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- Director Data Engineering & Data Science (https://boards.greenhouse.io/procurify/jobs/4352825005)

(80% hands on at the beginning)

- Senior Data Engineer (https://boards.greenhouse.io/procurify/jobs/4352787005)

We’re assembling a small but mighty team to build and own the data platform that’s going to be the backbone of the business' strategic shift towards automation and data-driven products in the procure-to-pay industry. You’ll get the opportunity to work on the largest technology initiative since the company's founding about 10y ago. An opportunity with massive impact, visibility and full buy-in from the senior leadership and executives.

Our mission is to enable our gang of 40+ product engineers to deliver data-driven products and features.

Profile (roughly):

- great personality

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- data architecture and data modelling

- CI/CD, testing and quality tests for data pipelines

- experience with databricks and its recent products highly desired (deltalake, autoloader, unity catalog, structured streaming, DLT, DAB, ...)

Some highlights:

- 4-day work week (every Friday off)

- Well funded as we just raised 50m in series C

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Put "hackernews" into the last textbox and I'll make sure it gets in front of our recruiter and hiring manager.

Sounds like LLMs having their SQL injection equivalent moment.

I’d also say this described phenomenon isn’t new - except for it’s applied context: it’s essentially disinformation - a well known technique used by military since decades. Except now we hack LLM agents instead of real people’s minds.

Nonetheless interesting to watch.

Well, I’m not complaining, I’m suggesting an automated reply to notify people that their stuff was submitted. Which is how things usually work when you submit through a recruiting portal.

I’m not complaining about the processing “speed”.

FYI: your https website is not loading. Plus, neither your post nor the non-https version of your website provides any information on what you're actually looking/recruiting for. Probably not the best way to attract people.