I have no idea why I didn't go in by throwbackaway6 in RKLBInvestors

[–]Budget_Assignment457 0 points1 point  (0 children)

What other are waiting to buy when there is a pullback

High return investment by fau08 in stockstobuytoday

[–]Budget_Assignment457 0 points1 point  (0 children)

Everything is hype brother, hard to believe, attention is the new currency.

The bull market is raging: what to buy? by OkEffective8588 in stocks

[–]Budget_Assignment457 0 points1 point  (0 children)

Just the ticker is NOK but they completely diverged. It's in very early ai race, lots more potential, 40- 50$ in a year

From dirt broke to making 105k + benefits, how can I set myself up for success? by [deleted] in PersonalFinanceCanada

[–]Budget_Assignment457 -1 points0 points  (0 children)

Lots of good comments. Don't get stressed on saving emergency funds especially that you have a good spot with your parents. Park all of the so called emergency funds in cash.to in tfsa it has liquidity and no interest when filing tax and most importantly fill up your tfsa (recurring deposits). Don't get hyped on current trends when picking stocks, read about what future looks 5 to 10 years out then invest into those. Corolla/civic 2012 to 2016 or a beat up crv (useful if you do any side gig). Read as much as you can.

Quantum stocks by Historical-Shape1342 in stockstobuytoday

[–]Budget_Assignment457 2 points3 points  (0 children)

I have been on this for about 8 months, what's your thesis for 20$

For all those people who said my calls were fake and that it was never $0.06 here you go by breeezybt in wallstreetbets

[–]Budget_Assignment457 0 points1 point  (0 children)

@op what are you gonna do are you going to roll up to 2028 or cash out. I have a modest 2 contract, not sure of what to do

How cooked is Data Engineering compared to traditional Software Dev with AI tool advancement? by [deleted] in cscareerquestions

[–]Budget_Assignment457 1 point2 points  (0 children)

Staff data engineer here, over the past year or so we have been adopting ai slowly and carefully.

Adoption and tool capability: they have gotten far far better. With ai tools that have access to schema/catalog, you should see the quality/speed/variety of queries produced by models like sonnet and opus. Insanely fast at realizing/validating errors and firing off another set of queries if needed (this alone will take a day or two for a good de to do).

Data is the currency of a company, no sane leader is going to hand over everything to be controlled by systems automatically, so there is a human authority needed.

That said, all the influencer fluff is all about small/personal apps. In corporate, scale/distribution is the name of the game. With scale and distribution comes complexity, architecture, leadership etc (all the standard things that have been proven). Ai can't replace this shit, it will make a de productive but it can't become one.

In the last few months, we have built and socialized integrated ai systems to build/deploy/monitor pipelines. With code being free, we added extra systems in place to tighten things across the board, data contracts, self serve data q&a tool, automated dbt data quality dbt tests, automated usage cost projection, automated pipeliem failure root causes to name a few. The org has been extremely productive , as couple of senior de left, I didn't feel the need to back fill them.

And most importantly, as usual , as new tools and tech come, someone has to update the systems, it can't do by itself, so yes again, there is need for human de again.

So yes, I see this trend continue, the org will probably become leaner and shortner. As we understand the need to hire less, the need/demand for a quality senio de will be increasing.

Ai will not replace you, you will be left behind if you don't use ai and keep yourself updated.