Looking for clingy friends with abandonment issues
2025.01.20 07:41 catdiction Looking for clingy friends with abandonment issues
They say I am Clingy, I say you just like constant communication.
They say I am Abandonant, I say life can be tough and people change, and it is ok.
They say no one would want to be your friend, I say many people can feel relatable to me and may want to give me a chance to be their daily chat buddy, just have to post a lot I know haha.
submitted by catdiction to bored [link] [comments]
2025.01.20 07:41 Voidiskey1215 I have a cool concept idea
I am not so experienced in writing or storytelling. But i have an amazing concept for a story but i dont think ill be able to nake ot come true. So if anyones interested you can use this idea.
Here’s your concept rewritten for clarity while keeping everything intact:
There is a Bureau responsible for managing different worlds—fantasy, horror, romance, and more. This Bureau oversees these worlds, with the goal of helping their inhabitants prepare for or adapt to the next world, or to remain in their current one.
You have isekai scenarios, eldritch beasts, and beings that can literally destroy their own worlds. Amidst all this, you work as a janitor. Your job? Cleaning up cursed goo, eldritch residue, malfunctioning nanobots, and interdimensional STD (Spatial, Transported Debris).
This is the junk carried over by travelers: cursed swords, talking frogs, or the occasional self-aware slime blob. If it’s wriggling, leave it for containment.
- Sorry for the long words but i just had to get this idea out.
2025.01.20 07:41 Various-Educator8116 Easiest floor 1 lol
 | submitted by Various-Educator8116 to DandysWorld_ [link] [comments] |
2025.01.20 07:41 ObModder Karin Kneffel - Untitled (Interior with Dog) (2004) [3407x1927]
![Karin Kneffel - Untitled (Interior with Dog) (2004) [3407x1927]](https://preview.redd.it/czrmweezr3ee1.jpeg?width=640&crop=smart&auto=webp&s=9e2bcec8794bfa7c347c25d9b406800c56c45de9 "Karin Kneffel - Untitled (Interior with Dog) (2004) [3407x1927]") | submitted by ObModder to ArtPorn [link] [comments] |
2025.01.20 07:41 Fun_Revolution74 visited oregon and fell in love with sufjan’s music all over again
i first discovered sufjan stevens in the seventh grade (i’m graduating this year) after coming across Carrie and Lowell and i immediately fell in love. i was one of those introspective, existentialist kids (with very few friends) and i truly believed nothing or nobody would ever understand me the way sufjans music did; i carried it with me through every stage of my life. i learned all about the album and the stories behind it, and it’s something i knew i would always hold close to my heart.
over the summer, i had the chance to visit Oregon (i’ve lived in freezing, snowy small town Canada my whole life and rarely get the opportunity to escape), and it was possibly the greatest thing i’ve ever experienced. exploring Eugene and the Dalles, walking Spencer’s Butte and the Oregon coast, crossing the border and see the vastness of the valleys and bluffs, all with Carrie and Lowell as the soundtrack, was more emotional than i had anticipated, but beyond breathtaking. experiencing firsthand the beauty of the album i’ve cherished so deeply since i was a kid hit me harder than words can express. though i was starstruck the whole trip, its a memory that will forever be engrained in my mind. sufjan is an extraordinary artist and Carrie and Lowell will always be special to me (and make me sob, as it tends to do).
submitted by Fun_Revolution74 to Sufjan [link] [comments]
2025.01.20 07:41 SansUndertale6900 Why do you all hate the p l a n t so much? He's just a chill dude.
 | I think the bigger issue is that Sakurai dared to add another fire emblem character as dlc when there were already like 9 of them. submitted by SansUndertale6900 to smashbros [link] [comments] |
2025.01.20 07:41 rbwls Best resources for learning AI assisted coding
Hello everyone! I’ve been following AI developments and trying to use the new tools as much as possible. As someone without much technical knowledge, AI-assisted coding has been an amazing thing for me to explore. I’ve managed to create some cool automations and landing pages, which has been really exciting.
However, whenever I’ve tried tackling more complex projects that involve multiple steps, I’ve failed miserably so far. 😅 I’ve also been searching for learning resources specifically about AI-assisted coding (like ChatGPT-led coding in my case), but I haven’t found any structured courses yet.
So, I wanted to reach out to this community for help—does anyone have suggestions for learning resources? Ideally, I’m looking for something structured, designed for people with minimal technical knowledge, and covering those extra steps like building proper development documentation and managing larger projects.
Thanks so much in advance! 🙏
submitted by rbwls to ChatGPTCoding [link] [comments]
2025.01.20 07:41 tlozbotwamiibos this should have never happened
 | https://youtu.be/BpLjQEMzdBU submitted by tlozbotwamiibos to Gina_Darling [link] [comments] |
2025.01.20 07:41 Low-Background-3051 .
 | submitted by Low-Background-3051 to sgcelebrity [link] [comments] |
2025.01.20 07:41 toaster-bath404 meirl
 | submitted by toaster-bath404 to meirl [link] [comments] |
2025.01.20 07:41 ShiftLucky5301 Can someone recommend good rheumatologist
Can anyone recommend a good rheumatologist in Chennai for my father . Thanks
submitted by ShiftLucky5301 to chennaicity [link] [comments]
2025.01.20 07:41 pjcreese Marvel SNAP caught in the ByteDance ban
submitted by pjcreese to DailyTechNewsShow [link] [comments]
2025.01.20 07:41 Southern_Radish Narcisse?
Just finished for the first time. So did they just abandon the Narcisse-Hoover plot?
submitted by Southern_Radish to BoardwalkEmpire [link] [comments]
2025.01.20 07:41 R4ftel Crownfall Act 1 and Act 4 have same backgrounds
I didn't read the comic but why are the images same, act 4 is just zoomed in, different color and blurred?
https://preview.redd.it/n8n2d44xr3ee1.png?width=2257&format=png&auto=webp&s=9e4c7c4bbcfc0dfb40b4aec2d48a4aa30dd901fa
https://preview.redd.it/tqafsqazr3ee1.png?width=2196&format=png&auto=webp&s=2d367c79453ff7ed9c117ac37596c729e40a4b4b
submitted by R4ftel to DotA2 [link] [comments]
2025.01.20 07:41 Cute-Dog-3053 [AMAZON US] LEGO Harry Potter Buckbeak The Hippogriff Collectible Toy, Magical Creature Figure, Fun Harry Potter Toy for Kids, Harry Potter Themed Birthday Gift for 9 Year Old Boys, Girls or Any Fan, 76427
https://www.amazon.com/LEGO-Buckbeak-Hippogriff-Collectible-Creature/dp/B0CRVWW6XD/ref=sr_1_292?tag=nicdav09-20&crid=3RYSOI1GNXTUY&dib=eyJ2IjoiMSJ9.CXLtqSRrvhKQIeGCf7bVYaZvDATvtwrQxdlGvyuCiJ5wDNlC8g1tLca8YlA5h0pEbpUZ9tqmumPikCw-2HMBB8OtAA9kjoC_4rgH00X6DQdm1QZ4tB8CN8HAqmzaKlIXdaD9W2XUtPneN9gQbeZrcACM_aDMMs50AmWRxDHR3Pk_2wX8Zon1lG-O_BzaXtn1EXRzfJYrcIxSxpYiUSQfdyIcjtuh79syBL1UL36BccOxedik-184Fzl82TIqUZ7QZE9vnm3NZez2oYgz8Yiq1Q.ZnfMDvJoGHh3m1F8EDfB3NLnHhwkmjSyo_-Hyf5hH-U&dib_tag=se&keywords=lego&qid=1737358666&sprefix=lego+toys%2Caps%2C704&sr=8-292&xpid=aWrbVY-ZTB0_a
submitted by Cute-Dog-3053 to LegoBargains [link] [comments]
2025.01.20 07:41 Clear_Performance237 [7]Shiny Giratina after 3787 encounters
![[7]Shiny Giratina after 3787 encounters](https://b.thumbs.redditmedia.com/58ecvsL7AAiVT6BqTMyyXpCh3tI4-EP4QBADCqunVSI.jpg "[7]Shiny Giratina after 3787 encounters") | Bidoof fighting for its life submitted by Clear_Performance237 to ShinyPokemon [link] [comments] |
2025.01.20 07:41 Difficult-Race-1188 Don't do RAG, it's time for CAG
What Does CAG Promise? Retrieval-Free Long-Context Paradigm: Introduced a novel approach leveraging long-context LLMs with preloaded documents and precomputed KV caches, eliminating retrieval latency, errors, and system complexity.
Performance Comparison: Experiments showing scenarios where long-context LLMs outperform traditional RAG systems, especially with manageable knowledge bases.
Practical Insights: Actionable insights into optimizing knowledge-intensive workflows, demonstrating the viability of retrieval-free methods for specific applications.
CAG offers several significant advantages over traditional RAG systems:
- Reduced Inference Time: By eliminating the need for real-time retrieval, the inference process becomes faster and more efficient, enabling quicker responses to user queries.
- Unified Context: Preloading the entire knowledge collection into the LLM provides a holistic and coherent understanding of the documents, resulting in improved response quality and consistency across a wide range of tasks.
- Simplified Architecture: By removing the need to integrate retrievers and generators, the system becomes more streamlined, reducing complexity, improving maintainability, and lowering development overhead.
Check out AIGuys for more such articles: https://medium.com/aiguysOther Improvements For knowledge-intensive tasks, the increased compute is often allocated to incorporate more external knowledge. However, without effectively utilizing such knowledge, solely expanding context does not always enhance performance.
Two inference scaling strategies: In-context learning and iterative prompting.
These strategies provide additional flexibility to scale test-time computation (e.g., by increasing retrieved documents or generation steps), thereby enhancing LLMs’ ability to effectively acquire and utilize contextual information.
Two key questions that we need to answer:
(1) How does RAG performance benefit from the scaling of inference computation when optimally configured?
(2) Can we predict the optimal test-time compute allocation for a given budget by modeling the relationship between RAG performance and inference parameters?
RAG performance improves almost linearly with the increasing order of magnitude of the test-time compute under optimal inference parameters. Based on our observations, we derive inference scaling laws for RAG and the corresponding computation allocation model, designed to predict RAG performance on varying hyperparameters.
Read more here: https://arxiv.org/pdf/2410.04343
Another work, that focused more on the design from a hardware (optimization) point of view:
They designed the Intelligent Knowledge Store (IKS), a type-2 CXL device that implements a scale-out near-memory acceleration architecture with a novel cache-coherent interface between the host CPU and near-memory accelerators.
IKS offers 13.4–27.9× faster exact nearest neighbor search over a 512GB vector database compared with executing the search on Intel Sapphire Rapids CPUs. This higher search performance translates to 1.7–26.3× lower end-to-end inference time for representative RAG applications. IKS is inherently a memory expander; its internal DRAM can be disaggregated and used for other applications running on the server to prevent DRAM — which is the most expensive component in today’s servers — from being stranded.
Read more here: https://arxiv.org/pdf/2412.15246
Another paper presents a comprehensive study of the impact of increased context length on RAG performance across 20 popular open-source and commercial LLMs. We ran RAG workflows while varying the total context length from 2,000 to 128,000 tokens (and 2 million tokens when possible) on three domain-specific datasets, and reported key insights on the benefits and limitations of long context in RAG applications.
Their findings reveal that while retrieving more documents can improve performance, only a handful of the most recent state-of-the-art LLMs can maintain consistent accuracy at long context above 64k tokens. They also identify distinct failure modes in long context scenarios, suggesting areas for future research.
Read more here: https://arxiv.org/pdf/2411.03538
Understanding CAG Framework CAG (Context-Aware Generation) framework leverages the extended context capabilities of long-context LLMs to eliminate the need for real-time retrieval. By preloading external knowledge sources (e.g., a document collection D={d1,d2,… }) and precomputing the key-value (KV) cache (C_KV), it overcomes the inefficiencies of traditional RAG systems. The framework operates in three main phases:
1. External Knowledge Preloading
- A curated collection of documents D is preprocessed to fit within the model’s extended context window.
- The LLM processes these documents, transforming them into a precomputed key-value (KV) cache, which encapsulates the inference state of the LLM. The LLM (M) encodes D into a precomputed KV cache:
- This precomputed cache is stored for reuse, ensuring the computational cost of processing D is incurred only once, regardless of subsequent queries.
- During inference, the KV cache (C_KV) is loaded with the user query Q.
- The LLM utilizes this cached context to generate responses, eliminating retrieval latency and reducing the risks of errors or omissions that arise from dynamic retrieval. The LLM generates a response by leveraging the cached context:
- This approach eliminates retrieval latency and minimizes the risks of retrieval errors. The combined prompt P=Concat(D,Q) ensures a unified understanding of the external knowledge and query.
- To maintain performance, the KV cache is efficiently reset. As new tokens (t1,t2,…,tk) are appended during inference, the reset process truncates these tokens:
- As the KV cache grows with new tokens sequentially appended, resetting involves truncating these new tokens, allowing for rapid reinitialization without reloading the entire cache from the disk. This avoids reloading the entire cache from the disk, ensuring quick reinitialization and sustained responsiveness.
2025.01.20 07:41 RadiantBootyGal This meme is something I miss.: Financial Advisor Dog cuts the budget.
 | submitted by RadiantBootyGal to dogmemes [link] [comments] |
2025.01.20 07:41 Babathegreat7 28[M4F] US/Anywhere - Looking to make friends. Any taker
Hey there! I'm in the US. I’m an entrepreneur who’s long days don’t allow for personal time, and I’d like to change that. I’m looking for someone to chat with and get to know. Someone to have a nice conversation with. I want to hear about your day and how your doing. I’m shy at first but loosen up fast. I’m a good listener. I like to always have fun at whatever I’m doing. I'm non judgmental and don’t get offended. Looks aren’t important to me, if that’s a concern of yours. Hope to chat and get to know you soon. DM to start off a great friendship
submitted by Babathegreat7 to r4r [link] [comments]
2025.01.20 07:41 Quirky-Literature-16 Why is Belliard tunnel closed this morning??
Crazy how the tunnel is closed without any announcement, or does anyone know anything?
submitted by Quirky-Literature-16 to brussels [link] [comments]
2025.01.20 07:41 Signal-Education4019 2 tickets for Coldplay 26th show at MRP
 | Hey there!! I’ve got 2 tickets for Coldplay 26th show. Block A Bay 4 YY 91 92- seated tickets. After taxes and stuff the tickets cost 11k each. So, 22k is the price I bought it for. Let me know if you’re interested submitted by Signal-Education4019 to Coldplaytickets [link] [comments] |
2025.01.20 07:41 AfigureGeek The original and best XENA Funko Pop!
 | submitted by AfigureGeek to ActionFigureGeek [link] [comments] |
2025.01.20 07:41 Low-Background-3051 .
 | submitted by Low-Background-3051 to sgcelebrity [link] [comments] |
2025.01.20 07:41 toolkit65 Intense pain in teeth
 | I’m 4 almost 5 days post op. Pain has severely increased since last night I woke up at 4:30 to throbbing sharp aches in my bottom teeth more on the right side. Since then (20 hours) it’s been off and on but mostly on. I took Tylenol and ibuprofen an hour ago because it came back on suddenly and significantly worse. I’m laying here awake in tears at almost midnight bc I can’t fall asleep with the pain. It’s not really my extraction sites that hurt but my canine and the few teeth surrounding it. It shoots up towards my temple as well. Pics of the left and right lower extraction sites submitted by toolkit65 to WisdomToothRecovery [link] [comments] |
2025.01.20 07:41 qualia-assurance Registration opens for Ulverston event after 2024 success
 | submitted by qualia-assurance to WholesomeCumbria [link] [comments] |