mscbuck

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17일 전discuss

To be fair, there is a different way to get to Mohg. You can talk to Varre at the Rose Church in the Lakes of Liurnia, and he gets you on the quest line that gets you there. You basically have to invade 3 (i think) people's worlds, PvP, doesn't matter if you win or lose, or there is one NPC that you can do an invasion on in Altus Plateau. Then he'll give you an item that just needs to be soaked in the blood of a maiden (and it's made explicit what you need to do, not just left for you to figure out). After that you get the letter and he will take you to Mohg.

지난달discuss

I'm lucky enough to be able to send my child to day care where he doesn't get any screen time (obviously), so typically his only time he gets to watch something is when we are out and about, and even then we have a rule of timers before he can watch, or if we are at a tap house or something, we've made him actually have to sit and talk to people/friends, ask them how they are doing, introduce himself, etc. Once he does that, he can choose a Pixar movie of his choice or a live concert video to watch.

And even with all that, I still feel guilty due to the reddit mob telling me it's going to destroy his brain.

지난달discuss

Yup, the advice is geared towards being very conservative, rather than lenient. An example I like to give people is that here in Wisconsin, drinking culture is huge. A friend of mine's father had pancreatic cancer and went to see his doc and wasn't given too much time to live. He was a big fan of having a nice glass of scotch with his fish fry, so he asked if it was still okay to have it, especially with how much time he was given. The doctor was like: "I have to tell you no, it's not okay. But the reason why is because if I tell my other patients that they can have a drink on "special occasions", well, suddenly, Monday becomes a special occasion, and Tuesday becomes a special occasion, and you see where this is going."

3개월 전discuss

I think that'd be cool, but I'd say that Claude Code/Codex is often used for this exact thing and they do a decent job of it (at least in my experience with R). Usually once I've kind of wrapped up my model or data work I'll just ask "okay, now organize this so it makes sense", and it usually does a great job at organizing the helpers, etc.

3개월 전discuss

Not that TIOBE or PyPl are the end all be all, but R was in the Top 10 for the first time since 2020 and PyPl has it at #4. A lot of people use R in 2026, because it's still great for data science work, "tidy" language is still fantastic for working with data, and also it's caught up to Python in almost every way when it comes to putting models into production. Both are great "orchestrator" languages, and I've put both into production on sites that get hundreds of thousands of hits a day.

3개월 전discuss

In my opinion, RStudio is still the best data science IDE and it's not even close. I've been using Positron a bit more lately just for Claude Code reasons, as I prefer having the pane itself rather than using the terminal, but man it's really tough to shake RStudio. Even with the work put into configuring VSCode to get it kind of close to it, it still just always feels a bit janky.

3개월 전discuss

Yeah, once you move onto legitimate business evaluation metrics (where Precision@k or Recall@k don't actually fit your business model without modification), GPTs just seem to suffer without context, and hey, knowing the context is part of what gives a data scientist his value.

7개월 전discuss

I still feel like they are in an incredible position when it comes to AI because of their hardware integration/advantage across all of their devices. I think they see immense value in getting things on-device and not having to rely on any of these other companies.

7개월 전discuss

From what I saw in the latest "language" surveys or whatever, R does seemingly seem to be making a slight comeback. I was actually surprised at its place above Ruby, iirc. Again, not that these surveys are the end-all-be-all, but I've also started to see a lot more data science postings that have R or Python be a requirement, where I feel like for a few years it was ALL Python.

8개월 전discuss

Yes, I've absolutely noticed this. I feel like I can always tell when something is up when it starts trying to do WAY more things than normal. Like I can give it a few functions and ask for some updates, and it just goes through like 6 rounds of thinking, creating 6 new files, assuming that I want to write changes to a database, etc.

8개월 전discuss

Awesome site and speed!

My advice from someone who has built recommendation systems: Now comes the hard part! It seems like a lot of the feedback here is that it's operating pretty heavily like a content based system system, which is fine. But this is where you can probably start evaluating on other metrics like serendipity, novelty, etc. One of the best things I did for recommender systems in production is having different ones for different purposes, then aggregating them together into a final. Have a heavy content-based one to keep people in the rabbit hole. Have a heavy graph based to try and traverse and find new stuff. Have one that is heavily tuned on a specific metric for a specific purpose. Hell, throw in a pure TF-IDF/BM25/Splade based one.

The real trick of rec systems is that people want to be recommnded things differently. Having multiple systems that you can weigh differently per user is one way to be able to achieve that, usually one algorithm can't quite do that effectively.

9개월 전discuss

Will echo that one thing that would prevent me from trying this is def the source control. Otherwise it does look pretty slick!

9개월 전discuss

I have also anecdotally noticed it starting to do things consistently that it never used to do. One thing in particular was that even while working on a project where it knows I use OpenAI/Claude/Grok interchangeably through their APIs for fallback reasons, and knew that for my particular purpose, OpenAI was the default, it started forcing Claude into EVERYTHING. That's not necessarily surprising to me, but it had honestly never been an issue when I presented code to it that was by default using GPT.

9개월 전discuss

As laughable as Apple's efforts have been so far, I think they still have an advantage precisely because of the unified architecture.

9개월 전discuss

I've found his hybrid approach pretty good for the majority of use cases. BM25 (maybe Splade if you want a blend of BOW/Keyword), + Vectors + RRF + re-rank works pretty damn well.

The trick that has elevated RAG, at least for my use cases, has been having different representations of your documents, as well as sending multiple permutations of the input query. Do as much as you can in the VectorDB for speed. I'll sometimes have 10-11 different "batched" calls to our vectorDB that are lightning quick. Then also being smart about what payloads I'm actually pulling so that if I do use the LLM to re-rank in the end, I'm not blowing up the context.

TLDR: Yes, you actually do have to put in significant work to build an efficient RAG pipeline, but that's fine and probably should be expected. And I don't think we are in a world yet where we can just "assume" that large context windows will be viable for really precise work, or that costs will drop to 0 anytime soon for those context windows.

9개월 전discuss

I think generally I agree with you that this is a stepping stone towards bigger/potentially more important things......but that doesn't change the fact that they've packaged it to consumers as something that seems like it has, at best, close to zero utility and at worst has incredible downsides. I'm not sure why releasing this to consumers helps achieve those goals.

9개월 전discuss

I can't help but see these technologies and think of Jeff Goldblum in Jurassic Park.

My boss sends me complete AI Workslop made with these tools and he goes "Look how wild this is! This is the future" or sends me a youtube video with less than a thousand views of a guy who created UGC with Telegram and point and click tools.

I don't ever think he ever takes a beat, looks at the end product, and asks himself, "who is this for? Who even wants this?", and that's aside from the fact that I still think there are so many obvious tells with this content that make you know right away that it is AI.

10개월 전discuss

And if you still prefer the language of tidyverse, use tidytable and you get the best of both worlds!

10개월 전discuss

This is really a non issue now. R's problem back in the day was that it was really specialized in analysis and interactivity, but a lot of the general purpose stuff that made Python popular is now easily achievable in R and well-developed and maintained. RestRServe and Plumber are both excellent tools for REST APIs.