u/Academic-Success9525

I’ve finally caught up with the Renegade Immortal donghua, currently at Episode 154, and waiting a whole week for each episode is killing me 😭

I’ve already been watching weekly for the last couple of months, and at this point I just want to continue the story through the novel.

I know starting the novel from Chapter 1 would probably be the best experience, especially since there may be details the donghua skipped or changed, but I don’t really have enough free time to go through everything from the beginning right now.

So, could someone tell me: Around which novel chapter does Episode 154 of the donghua end?

Ideally, I’d like to start a little before that point so I don’t miss anything important because of adaptation differences.

Please no spoilers beyond Episode 154.

Thanks!

Hey everyone!

I’m looking for high-quality desktop wallpapers from Renegade Immortal - Xian Ni, especially wallpapers featuring Wang Lin and Li Muwan, other major characters, or scenic cultivation-themed artwork.

I’ve already checked Pinterest and a few other websites, but most of the images I found were low-resolution or became blurry when used as desktop wallpapers.

Ideally, I’m looking for:

• 3840 × 2160 (4K), or at least 2560 × 1440
• Landscape/desktop aspect ratio
• Official artwork, or properly sourced fan art
• Images without heavy compression
• Original artist or source included whenever possible

Does anyone have a wallpaper collection or know where I can find high-resolution Renegade Immortal wallpapers? Please share them in the comments. Thanks!

Hi everyone,

I’m a recent CS graduate working mainly on NLP/LLMs and VLMs failures. I’m currently in a phase where I can dedicate a lot of focused time to research, but the main bottleneck holding me back is compute.

I know “asking for GPUs” can sound vague or unserious, so I want to be transparent. I’m not looking for free compute to casually experiment or waste cycles. I have already been actively publishing and submitting research, including papers at EACL 2026, IJCNLP-AACL 2025, MICCAI 2026, an EMNLP 2025 workshop paper, and a recent ARR submission. I’m happy to share my Google Scholar/CV/papers privately with anyone interested.

The ideas I’m currently working on are GPU-intensive, mostly around LLMs, NLP, and VLMs. I’ve discussed some of them with PhD friends/peers, and the feedback has been encouraging. The goal is to develop these ideas into strong, publishable work, ideally targeting top conferences such as *CL venues, CVPR, ICLR, and related ML/AI conferences.

To run the experiments properly, I likely need more than a single consumer GPU. Ideally, I’m looking for access to something like a 4x or 8x GPU setup, L40S, A100, H100, H200, or similar. I understand that asking for H100/H200-class compute is a big ask, so I’m also open to scheduled access, partial access, university/lab cluster time, unused credits, or any practical arrangement.

What I can offer:

• Serious research effort and consistent execution
• Weekly progress updates, logs, and experiment summaries
• Clear compute usage reports so the resources are not wasted
• Reproducible code, experiment tracking, and documentation
• Open discussion of ideas before running expensive experiments
• Proper acknowledgment of compute support
• Co-authorship

To be very clear: this is purely for research work, no mining, no commercial misuse, no unrelated jobs. I’m comfortable discussing the project scope, risks, expected compute needs, and authorship/acknowledgment expectations before using anything.

I know this is a long shot. Maybe nothing comes out of it. But I also know many early-career researchers face this same wall: you may have the time, motivation, and ideas, but not the infrastructure to test them properly. So I’m putting this out here in case someone has unused compute, lab access, cloud credits, or is interested in collaborating on publishable research.

If this sounds relevant, please DM me or comment, and I’ll be happy to share more details about my background and the research directions.

Thanks for reading.

Hi everyone,

I’m a recent CS graduate working mainly on NLP/LLMs and VLMs failures. I’m currently in a phase where I can dedicate a lot of focused time to research, but the main bottleneck holding me back is compute.

I know “asking for GPUs” can sound vague or unserious, so I want to be transparent. I’m not looking for free compute to casually experiment or waste cycles. I have already been actively publishing and submitting research, including papers at EACL 2026, IJCNLP-AACL 2025, MICCAI 2026, an EMNLP 2025 workshop paper, and a recent ARR submission. I’m happy to share my Google Scholar/CV/papers privately with anyone interested.

The ideas I’m currently working on are GPU-intensive, mostly around LLMs, NLP, and VLMs. I’ve discussed some of them with PhD friends/peers, and the feedback has been encouraging. The goal is to develop these ideas into strong, publishable work, ideally targeting top conferences such as *CL venues, CVPR, ICLR, and related ML/AI conferences.

To run the experiments properly, I likely need more than a single consumer GPU. Ideally, I’m looking for access to something like a 4x or 8x GPU setup, L40S, A100, H100, H200, or similar. I understand that asking for H100/H200-class compute is a big ask, so I’m also open to scheduled access, partial access, university/lab cluster time, unused credits, or any practical arrangement.

What I can offer:

• Serious research effort and consistent execution
• Weekly progress updates, logs, and experiment summaries
• Clear compute usage reports so the resources are not wasted
• Reproducible code, experiment tracking, and documentation
• Open discussion of ideas before running expensive experiments
• Proper acknowledgment of compute support
• Co-authorship

To be very clear: this is purely for research work, no mining, no commercial misuse, no unrelated jobs. I’m comfortable discussing the project scope, risks, expected compute needs, and authorship/acknowledgment expectations before using anything.

I know this is a long shot. Maybe nothing comes out of it. But I also know many early-career researchers face this same wall: you may have the time, motivation, and ideas, but not the infrastructure to test them properly. So I’m putting this out here in case someone has unused compute, lab access, cloud credits, or is interested in collaborating on publishable research.

If this sounds relevant, please DM me or comment, and I’ll be happy to share more details about my background and the research directions.

Thanks for reading.

Hi everyone,

I’m a recent CS graduate working mainly on NLP/LLMs and VLMs failures. I’m currently in a phase where I can dedicate a lot of focused time to research, but the main bottleneck holding me back is compute.

I know “asking for GPUs” can sound vague or unserious, so I want to be transparent. I’m not looking for free compute to casually experiment or waste cycles. I have already been actively publishing and submitting research, including papers at EACL 2026, IJCNLP-AACL 2025, MICCAI 2026, an EMNLP 2025 workshop paper, and a recent ARR submission. I’m happy to share my Google Scholar/CV/papers privately with anyone interested.

The ideas I’m currently working on are GPU-intensive, mostly around LLMs, NLP, and VLMs. I’ve discussed some of them with PhD friends/peers, and the feedback has been encouraging. The goal is to develop these ideas into strong, publishable work, ideally targeting top conferences such as *CL venues, CVPR, ICLR, and related ML/AI conferences.

To run the experiments properly, I likely need more than a single consumer GPU. Ideally, I’m looking for access to something like a 4x or 8x GPU setup, L40S, A100, H100, H200, or similar. I understand that asking for H100/H200-class compute is a big ask, so I’m also open to scheduled access, partial access, university/lab cluster time, unused credits, or any practical arrangement.

What I can offer:

• Serious research effort and consistent execution
• Weekly progress updates, logs, and experiment summaries
• Clear compute usage reports so the resources are not wasted
• Reproducible code, experiment tracking, and documentation
• Open discussion of ideas before running expensive experiments
• Proper acknowledgment of compute support
• Co-authorship

To be very clear: this is purely for research work, no mining, no commercial misuse, no unrelated jobs. I’m comfortable discussing the project scope, risks, expected compute needs, and authorship/acknowledgment expectations before using anything.

I know this is a long shot. Maybe nothing comes out of it. But I also know many early-career researchers face this same wall: you may have the time, motivation, and ideas, but not the infrastructure to test them properly. So I’m putting this out here in case someone has unused compute, lab access, cloud credits, or is interested in collaborating on publishable research.

If this sounds relevant, please DM me or comment, and I’ll be happy to share more details about my background and the research directions.

Thanks for reading.

Hi everyone,

I’m a recent CS graduate working mainly on NLP/LLMs and VLMs failures. I’m currently in a phase where I can dedicate a lot of focused time to research, but the main bottleneck holding me back is compute.

I know “asking for GPUs” can sound vague or unserious, so I want to be transparent. I’m not looking for free compute to casually experiment or waste cycles. I have already been actively publishing and submitting research, including papers at EACL 2026, IJCNLP-AACL 2025, MICCAI 2026, an EMNLP 2025 workshop paper, and a recent ARR submission. I’m happy to share my Google Scholar/CV/papers privately with anyone interested.

The ideas I’m currently working on are GPU-intensive, mostly around LLMs, NLP, and VLMs. I’ve discussed some of them with PhD friends/peers, and the feedback has been encouraging. The goal is to develop these ideas into strong, publishable work, ideally targeting top conferences such as *CL venues, CVPR, ICLR, and related ML/AI conferences.

To run the experiments properly, I likely need more than a single consumer GPU. Ideally, I’m looking for access to something like a 4x or 8x GPU setup, L40S, A100, H100, H200, or similar. I understand that asking for H100/H200-class compute is a big ask, so I’m also open to scheduled access, partial access, university/lab cluster time, unused credits, or any practical arrangement.

What I can offer:

• Serious research effort and consistent execution
• Weekly progress updates, logs, and experiment summaries
• Clear compute usage reports so the resources are not wasted
• Reproducible code, experiment tracking, and documentation
• Open discussion of ideas before running expensive experiments
• Proper acknowledgment of compute support
• Co-authorship

To be very clear: this is purely for research work, no mining, no commercial misuse, no unrelated jobs. I’m comfortable discussing the project scope, risks, expected compute needs, and authorship/acknowledgment expectations before using anything.

I know this is a long shot. Maybe nothing comes out of it. But I also know many early-career researchers face this same wall: you may have the time, motivation, and ideas, but not the infrastructure to test them properly. So I’m putting this out here in case someone has unused compute, lab access, cloud credits, or is interested in collaborating on publishable research.

If this sounds relevant, please DM me or comment, and I’ll be happy to share more details about my background and the research directions.

Thanks for reading.

Hi everyone,

I’m a complete beginner and I want to start writing something like a novel or emotional fiction, but I don’t really know how to begin.

My idea is about someone wanting to go back to the past, not for money or success, but to make their younger self happier and choose differently. I know time travel/second chance stories are common, but this idea feels personal to me because I want to express thoughts I usually can’t share with anyone.

I haven’t read many books, and I’m not confident in my writing yet. I’m wondering:

How should a beginner start a story like this?
Should I write it like a diary, a novel, or short scenes first?
How do I turn personal emotions into fiction without making it too messy?
How do I find a writing buddy or accountability partner?

Any advice would mean a lot. Thank you.

Hi everyone,

I’m very new to writing. I haven’t read many books yet, and I don’t really know whether what I want to write will become a novel, a short story, or something more personal. But I know I want to start.

The reason I want to write is not because I already see myself as a “writer.” I want to write because there are thoughts and feelings I don’t know how to share with friends or family. I want to turn those feelings into fiction, maybe as a way to understand myself better.

The story idea I keep thinking about is something like: what if someone could go back to the past, not to become powerful or rich, but to make their younger self happier? What would they change? What would they say? What would they do differently?

I know this is a common and unrealistic idea, but emotionally it feels very real to me. I want to write something honest around that feeling.

I’m looking for a writing buddy or accountability partner, preferably someone kind and patient with beginners. Maybe we could check in once a week, share progress, talk about ideas, and gently give feedback. I’m not looking for someone to write the story for me, just someone to grow with and help me stay consistent.

What I’m hoping for:

• Beginner-friendly guidance
• Weekly or twice-a-week check-ins, depending on availability
• Gentle feedback on small pieces of writing
• Help with story structure and characters
• Maybe mutual accountability if you’re also writing something

Genre/vibe: emotional fiction, time travel/second chance, self-reflection, healing, maybe coming-of-age
Experience level: beginner
Meeting place: Reddit chat, Discord, or Google Docs comments

If anyone is interested, please comment or DM me. Thank you.