Chris Chambless will never comply

3.7K posts

Chris Chambless will never comply

Chris Chambless will never comply

@Lumenbeing

coincidence theorist debunker, fact checker checker

California, USA Beigetreten Mayıs 2008
294 Folgt187 Follower
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Chris Chambless will never comply
D&D has always had too many ability scores. And the current edition has too many saves. Here’s what I think makes sense. 3 ability scores and 3 saves Abilities 💪 Might – strength + toughness (no more Con) 🏃 Agility – more appropriate than Dex 🎭 Presence – force of personality and will Saves Fortitude - vs toxins, mortal wounds and environmental Reflex - dodge physical dangers Resolve – resist fear, madness, charm
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Joe MYOYA✪
Joe MYOYA✪@joemyoya·
@LLMJunky the unified experience across devices is honestly what sold me on it being able to start something on desktop and pick it up on mobile without any friction is such an underrated feature
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am.will
am.will@LLMJunky·
The Codex app server was such a brilliant stroke of foresight that really doesn't get enough love Not only are you allowed to use your chatgpt account with any harness, but you can build your own apps directly on top of theirs. They just make building on and with codex such a great experience To demonstrate this utility, I want to highlight the kitty litter app, made by @SIGKITTEN. Instead of having to build the entire harness, and all the infrastructure, he's plugged into the app server for a unified experience between mobile and dev machine. When I create a session on my computer, it's automatically available on my phone. All of the chats you see in this video automatically populated when we connected to the app server. All my skills. My agents. My sessions. My folders. My prompts. They're all ready to use - automatically. Because they're exposed by the app server, along with many other endpoints. It's a great ux/dx that really deserves some love. It's almost like they want you to build on top of their products ;) Btw Litter is great 👍
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Andrej Karpathy
Andrej Karpathy@karpathy·
LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So: Data ingest: I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them. IDE: I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides). Q&A: Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale. Output: Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base. Linting: I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into. Extra tools: I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries. Further explorations: As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows. TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.
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Lex Fridman
Lex Fridman@lexfridman·
Same, I have a similar setup. A mix of Obsidian, Cursor (for md), and vibe-coded web terminals as front-end. Since I do a podcast, the number/diversity of research interests is very large. But the knowledge-base approach has been working great. For answers, I often have it generate dynamic html (with js) that allows me to sort/filter data and to tinker with visualizations interactively. Another useful thing is I have the system generate a temporary focused mini-knowledge-base for a particular topic that I then load into an LLM for voice-mode interaction on a long 7-10 mile run. So it becomes an interactive podcast while I run, where I ask it questions and listen to the answers to learn more. Anyway, heading out for a run now, thanks for the write-up 👊
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Corpse Kings
Corpse Kings@CorpseKings·
What is this Lich writing in his diary? 📖
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naiive
naiive@naiivememe·
If you're 40. Instead of regretting that you can't wake up age 20 again, pretend to yourself that you're 90 and you've woken up age 40 again, and that you get to magically, wonderfully have the next 50 years again.
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BRICS News
BRICS News@BRICSinfo·
JUST IN: 🇷🇺🇮🇷 Russia to send 'upgraded' versions of Shahed drones used against Ukraine to Iran.
BRICS News tweet mediaBRICS News tweet media
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Jake Shields
Jake Shields@jakeshieldsajj·
Trump fucked up so bad and Iran won't stop the war He's in a lose-lose situation lose where we either accept a clear defeat or launch a ground invasion which will be a duster Netanyahu made Trump his bitch and now America sufferers
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Clinton
Clinton@614clinton·
Anyone know of a good job for someone who hates people?
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Kevin Xu
Kevin Xu@kevinxu·
friend’s kid asked what they should major in college i almost cried what do you even say anymore
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𝐍𝐢𝐨𝐡 𝐁𝐞𝐫𝐠 🇮🇷 ✡︎
It's been two weeks, and all I can ask myself is why did everyone for decades think of the regime in Iran as some powerful, unstoppable force? They're getting destroyed in every single way. Why the hell did everyone wait 47 years to do this?
𝐍𝐢𝐨𝐡 𝐁𝐞𝐫𝐠 🇮🇷 ✡︎ tweet media
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Chris Chambless will never comply
This program is 💯 funded by some Democrat program with the goal of taking away your 2nd amendment rights.
R͓̽Y͓̽a͓̽n͓̽C͓̽e͓̽y͓̽@RyanceyReturns

You’re standing in a tiny pediatric exam room. The paper on the exam table crackles every time your toddler wiggles. There’s a cartoon giraffe on the wall, a jar of tongue depressors on the counter, the faint smell of sanitizer in the air. You’re half-listening to your child babble when the door swings open. In walks the nurse. White coat. Stethoscope. Calm smile like she’s done this a thousand times. She flips open the chart. Then casually asks: “Do you have any firearms in the home?” It lands strangely. Not rude. Not aggressive. Just… routine. Like asking about allergies. You hesitate for half a second. She notices. “No, we’re not asking because we want to report you,” she says quickly, leaning a little closer, voice dropping into that reassuring tone medical staff use when they think you’re nervous. Then she keeps talking. “We document it. Put it in the chart. I’m not going to ask if it’s legal. I’m not going to ask where you got it.” Your toddler is still bouncing on your knee, oblivious. The nurse scrolls through the tablet. “Firearms are one of the leading causes of death in the United States,” she adds, matter-of-fact. You can almost hear the template response she’s expecting. “Yes. Stored properly. Locked. Unloaded. Ammo separate.” She nods before you even answer, fingers hovering over the keyboard. “Perfect,” she says. “That’s exactly what we want to hear.” Click. Click. Click. Documented. She smiles again, warm and professional, like the moment never meant anything more than routine paperwork. “Our goal,” she says as she closes the chart, “is your child’s safety.” The room goes quiet again. Your toddler grabs the stethoscope hanging from the counter. And you’re left sitting there wondering something you didn’t expect to wonder when you walked in: When that question comes up in the exam room… what do you say? 👀

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FinancialFreedom
FinancialFreedom@FinFreedom414·
Imagine you had to choose your life at age 40: Option A: Single. No kids. $10M net worth. Travel anywhere. Total freedom. Quiet house. Quiet holidays. Option B: Married. 3 kids. $1M net worth. Drive a Toyota. Chaos every morning. Loud house. Full dinner table. Be honest, which life are you choosing?
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