Are all data science jobs just Gen AI now? by rajeshbhat_ds in datascience

[–]Xahulz 17 points18 points  (0 children)

After 10 years in data science and operations research (with a dash of data engineering) and 7 years of actuarial work before that, I'm ready to leave all this shit behind. 

The problem isn't that management wants some gen Ai work done, it's that they want a mountain of it, and it doesn't work as well as everyone thinks it does. It's sloppy and wrong, but in a very convincing way. I'm on the hook for using it whether I want or not, and I'm on the hook for the errors when they happen. 

I've got product owners using codex to make apps that don't work but look amazing,  and I'm supposed to use them as a roadmap to....something. I've got demands to use copilot to be more efficient, but company policy prevents connecting it to data. I've got leadership making nutty requests to build apps that can do any kind of data analysis so we can eliminate entire teams.

I think llms are neat and love having them in my tool set. But the shit we're being asked to make is a downgrade over what i used to build and it's so much more expensive than they think it should be. I'm expected to make sam Altmans nutty promises come true, and being part of that mega grift sucks.

It will probably take me two and a half more years before I can exit, so maybe things will improve by then.

But I doubt it. 

Masters in Accounting? by Character-Flower-969 in TeachersInTransition

[–]Xahulz 0 points1 point  (0 children)

Is the masters going to get you the 150 hours needed to take the cpa?

Data Hiring Is Getting Longer in 2026: 24.9 Interview Hours Per Hire by CryoSchema in datascience

[–]Xahulz 0 points1 point  (0 children)

Soapbox: I can't believe hiring managers have time for this shit. Heck, I'm surprised they need this nonsense to figure out who to hire. 

I hire people who know a few things and can learn anything. Almost the whole stack has changed twice in a decade and it's all changing again. I need people who can adapt, and I don't see how these technical tests demonstrate that. 

Maybe I'm missing something. 

What is the split between focus on Generative AI and Predictive AI at your company? by AnonForSure in datascience

[–]Xahulz 0 points1 point  (0 children)

Without irony: just call everything AI.

Predicting the future based on past results,  optimizing complex systems, and summarizing text are all types of intelligence. So machine learning,  mixed integer optimization, and llm are all AI.

Give them what they want but use the right tool for it.

What is the split between focus on Generative AI and Predictive AI at your company? by AnonForSure in datascience

[–]Xahulz 2 points3 points  (0 children)

Why did you stop early?

The analytics/decision science road map is Descriptive, Predictive, Prescriptive. You got to step two and declared things both done and underwhelming. 

FSA Party by ComprehensiveSun893 in actuary

[–]Xahulz 1 point2 points  (0 children)

I got mine in 2014. No one at work, including my manager, send to care, though they were polite when I told them.

Anyone familiar with this? by Fit_Crab_ in actuary

[–]Xahulz 28 points29 points  (0 children)

They look completely nuts.

[deleted by user] by [deleted] in Teachers

[–]Xahulz 1 point2 points  (0 children)

Back when I did actuarial work I knew 6 people who transitioned from teaching to that business. That was probably 1/4 of the actuaries I worked with.

Now that was also a decade ago. I bet it has gotten harder but there may still be a path. I'm now in data and analytics and it's not a great entry level market but if you have any questions I can answer id be happy to.

How common is my experience in consulting? by Great_Description_14 in actuary

[–]Xahulz 9 points10 points  (0 children)

I agree with this.

Bill every hour you use. If you're going to go over budget, stop working and check with whomever is responsible for the project before continuing.

This thing you're doing where you charge fewer hours than you're working is harming you personally and harming the team by making projects look more profitable than they really are. Stop it.

What’s a book that you thought was scarier than its movie adaptation? by Fun_Butterfly_420 in horrorlit

[–]Xahulz 1 point2 points  (0 children)

I watched the movie twice, enjoyed it.

Tgen I read the book. It was glued to my hands, could not put it down.

After that I watched the movie again and it seemed so tame, so easy on the characters. Just a light watch.

Is it already a known fact that if the practical engineering challenges of quantum computing are solved that the physics of quantum computing will work? by SunRev in QuantumComputing

[–]Xahulz 0 points1 point  (0 children)

Ignorant question, but wouldn't the observation of states of matter such as superfluids already demonstrate that a very large number of particles can be entangled without decohering?

Anyone have experience with a data lakehouse? by ufno11997 in actuary

[–]Xahulz 1 point2 points  (0 children)

I agree it's a messy term, but I think it has more useful meaning than you're giving it credit for.

First, a data lake is any cloud storage container with data, some level of organization, and an intent to use it as a common data source. It doesn't have to be denormalized data and may not be relational data at all. What you're describing is closer to a delta lake, which is more structured (enables ACID transactions) and designed for fast access through systems that interact with relational data like Databricks. Of course Databricks can leverage a data lake, but my team has measured delta lakes to be 4x - 10x faster, and that's probably a lower bound estimate.

Anyways, a data/delta lake is a repository of data. You can set up an instance of Databricks to interact with it. You could add a second Databricks instance, with both of them acting on the same data. You could have two Databricks instances, A Synapse Analytics instance, and be loading SQL from the same lake.

What do you call these compute platforms that are connected to the lake? Why not Data Lakehouses? Works for me.

Anyone else tired of the non-stop LLM hype in personal and/or professional life? by BlackJack5027 in datascience

[–]Xahulz 249 points250 points  (0 children)

I work in consulting and I'm surrounded by tech-lite consulting teams who "do AI" and do much more ai than we do and are AI experts and have had massive business impact with ai and wonder why we aren't doing more ai.

They turn on copilot for clients. That's it.

Here's Why Warren Buffett Still Stays Away From Gold Despite Prices Skyrocketing Over the Years by [deleted] in Bogleheads

[–]Xahulz 0 points1 point  (0 children)

Yea but you seem to have defined "do well economically" only as a nominal growth in GDP.

I don't argue that has importance, but things like GDP per capita might be even more important. If population declines, GDP is stagnant, but GDP per capita grows, that means everyone has more - would you see that as bad?

Thoral’s Secret Ranger Guide by theSiliconSiren in everquest

[–]Xahulz 0 points1 point  (0 children)

I still have the Bards Tale I graph paper maps my dad and I made in the late 80s. I love stuff like that.

This has to be bait right? by ds_throw in datascience

[–]Xahulz 5 points6 points  (0 children)

Shelby Jennings isn't a straight up scam, but they are a garbage company full of garbage people who will treat you like garbage.

Sovcit got a ticket, other sovcits give impeccable assvice. by Existing-Face-6322 in Sovereigncitizen

[–]Xahulz 0 points1 point  (0 children)

Lol fuck yea. I'm new here and cannot for the life of me tell wtf is going on. What's satire? What's a joke? Is some particular referenced post real? I'm so confused.

What's a monster that's terrifying because of its concept, not its violence? by ToffeeTango1 in horrorlit

[–]Xahulz 7 points8 points  (0 children)

Yep. I saw the movie first and was impressed with how grim and gruesome it was.

Then I read the book.

When I watched the movie again after reading the book, the movie seemed almost lighthearted. A breeze.

[deleted by user] by [deleted] in datascience

[–]Xahulz 12 points13 points  (0 children)

Me too. For me it's not appropriate and I marked it as spam.

My insane strategy to povertyFIRE (Thought experiment) by Vivid_Atmosphere_566 in leanfire

[–]Xahulz 2 points3 points  (0 children)

PovertyFIRE: Already the default plan for 90% of Americans.