its_me_xiphos

joined 2 years ago
[–] its_me_xiphos@beehaw.org 0 points 1 day ago (1 children)

Newstands being gone is a sad, sad thing.

Probably $400 annually to start.

 

As I am out of academia now I find the spare time I have rather overwhelming. I have 8 days left before rejoining my partner in Canada. I have an ereader and all my books are packed. I have an urge to read to offset the doom scroll tendency that rises now. I want to support good work and good writing; high quality journalism, and essays. Politics, History, Foreign Affairs, Urban Planing, Activism all interest me. But having been in pure read for work mode for...8 years? 10? Was it that long?...I don't know where to start.

I just want to read, any format, as I have plenty of video and podcast formats already. A format that was more white noise for working than anything else.

What do you recommend?

[–] its_me_xiphos@beehaw.org 1 points 4 days ago

When I'm tired this is my shortcut. I usually edit them out in drafts but miss a few in my substack posts. I am more machine now than man I guess.

[–] its_me_xiphos@beehaw.org 2 points 1 week ago (1 children)

Agree. Also, amazing DS9 avatar. Just noticed.

[–] its_me_xiphos@beehaw.org 6 points 1 week ago (3 children)

I left it. This paper was under review for 197 days (yep). Got the word two weeks ago and frankly, fuck it.

Happy to have a larger academic career chat too. It wrecked me over the long term. Now my aspirations are to work in a board game store.

[–] its_me_xiphos@beehaw.org 1 points 1 week ago

Hero. I never knew that and always did the shift alt.

[–] its_me_xiphos@beehaw.org 7 points 1 week ago (5 children)

Had a paper rejected because em dashes obviously mean AI. I love em dashes for long breaks that rest between a ; and ( ) for the reader. I just tossed my hands up and do not give a shit. I write how I write.

[–] its_me_xiphos@beehaw.org 6 points 1 week ago* (last edited 1 week ago)

Great so far. Solo parenting and emptying our flat to get ready to leave is...exhausting...but I got good weightlifting progression, which is nice.

105kg bench, 175kg deadlift, and 125kg squat. Not bad for over 40!

Writing again and more often over at my substack, but i feel the quality suffered when I moved to weekly rather than bi-weekly. So I will move back shortly.

[–] its_me_xiphos@beehaw.org 2 points 2 weeks ago* (last edited 2 weeks ago) (1 children)

No worries. 27,000 USD out the door in summer of 2023(?) If memory serves.

Just got a used Kia Niro (2023 maxed out edition) for 39,000 CAD.

I will use this opportunity to say i'll miss my bike.

[–] its_me_xiphos@beehaw.org 6 points 2 weeks ago* (last edited 2 weeks ago) (3 children)

Got a Chevy Bolt used with a battery replacement after their warranty debacle. They had a glut of them due to that. Never looked back. It got me, realistically, 200+ miles of range. I never had a problem. No mechnical, no range issues, nothing. I've never had a flawless car experience before that.

If you have the ability to charge at home or reliably at work, get an EV. There is nothing to fear.

[–] its_me_xiphos@beehaw.org 1 points 2 weeks ago

That's a fair push back. I would counter that the line between lesson learned and "I'll never forget and am angry about it" is a fine one. Deeper conversation, though.

[–] its_me_xiphos@beehaw.org 3 points 2 weeks ago

Hopefully he can dock in the UAE and use AI to repair the crater that was a data center.

8
submitted 1 month ago* (last edited 1 month ago) by its_me_xiphos@beehaw.org to c/asklemmy@lemmy.ml
 

I'm a burned out academic leaving the field. I'd like to learn something new as a means of recovery and healing from the trauma (edit: narcissm, lack of human connection, intense funding cuts resulting in competition, less focus on students in recent years and instead on metrics). So, what should I learn (edit: that might help recovery from the aforementioned) What do you recommend and where could I start? I'm not looking for career advice, just crowdsourcing new things to learn and experience.

That's it. That's my ask.

Edit: Added some context.

 

I'm using Boostcamp at the moment: free version, not open source, and its bothering the hell out of me. Limited. Bloated. Paywalls. I love the detailed programs and routines, and have not found a similar replacement. Any recommendations that include:

Routine creating

Custom exercises

Access to existing database of workouts (most important).

 

Hey all,

I'm on the last few months of my contract, in higher ed. While I try to find work that's more permanent, I do count myself lucky to be in a better position to offer help with little worry of reprucussions. In brief, I am trying to do whatever I can to support my LGBTQ+ students who are terrified. I'm a tough person, like I've seen some shit (war) but its breaking my soul feeling powerless here in the States.

Any suggestions, organizations, or other ideas I could have at the ready if a student needs help? I just want to be the best ally and empathetic human I can from my position, while I can.

I'm also being cautious since its getting harder to know who and what to trust, but ideas on exercising greater caution when offering help are welcome too. Sad I have to even convey that...

 

Been having too much fun using LLMs hosted locally, but can't seem to get Ollama's chat with documents to work well. Lots of "what are you talking about? There are no documents here" issues. Does anyone have any recommendations to either a) figure out what's going wrong or b) Alternative locally hosted options that chat with documents works well with (GPT4all or something?)

 

I was very excited to learn about this project...only to discover it's neither free nor open source. Does anyone know of any true open source and accessible tools for Syllabus sharing/curating/researching?

 

I'm new to the field of large language models (LLMs) and I'm really interested in learning how to train and use my own models for qualitative analysis. However, I'm not sure where to start or what resources would be most helpful for a complete beginner. Could anyone provide some guidance and advice on the best way to get started with LLM training and usage? Specifically, I'd appreciate insights on learning resources or tutorials, tips on preparing datasets, common pitfalls or challenges, and any other general advice or words of wisdom for someone just embarking on this journey.

Thanks!

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