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Original Reddit post

Hi, everyone, I need help. I’m conducting research for my master's thesis on AI and translation. I’m asking AI to translate some clinical trial protocols into Spanish to analyze the output. However, I’m a bit stuck since I’m using 2 very long documents (146 and 115 pages), and AI cannot process them. I’ve tried dividing them into smaller files of 11-14 each and still nothing. Firstly, I asked AI to output the translation into a doc/docx/pdf file, but when that proved to be more troublesome, I decided to copy-paste the translation into a document; nevertheless, since I was using several documents, AI hallucinated constantly (which is something I guess I should include in my paper). So my question is, does someone know what can/should I do to get AI to translate these documents? Maybe reducing them even more? Here is the prompt I've been using: "Translate the following clinical trial protocol from English into Spanish. Preserve meaning, terminology, tone, and structure. Output only the translation in a doc or docx file format. Translate the whole uploaded document." and then “Translate the following document from English into Spanish. It is the part [1-10] of a clinical trial protocol. Preserve meaning, terminology, tone, and structure. Translate the whole uploaded document.” [RSC1]Te sugiero que hables en pretérito. Aunque ahora no lo tengas hecho, cuando redactes la versión final sí… Revísalo en todo el documento. I’ve tried with Gemini Pro (my uni gives me access to it) and ChatGPT. Any help will be appreciated, thanks in advance. submitted by /u/Globi10

Originally posted by u/Globi10 on r/ArtificialInteligence

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Original Reddit post

Originally posted by u/prabhav404 on r/ClaudeCode

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Original Reddit post

My colleagues kept asking me for my setup, so I decided to turn it into a universal plugin: Agent Code Navigator

  • a universal code-navigation plugin for Claude Code, Codex, Cursor, Gemini, and OpenCode. In my benchmark, semantic code discovery became 5.1x faster and used about 5x fewer tokens . Repo: https://github.com/777genius/universal-plugins-for-ai-agents/tree/main/plugins/agent-code-navigator What It Does Coding agents waste tokens when they search blindly. This plugin teaches agents to route code-navigation tasks to the right tool: exact strings, config keys, env vars, errors -> rg semantic discovery and similar code -> Semble definitions, references, refactors -> Serena call graphs, complexity, architecture maps -> CodeGraphContext / CGC durable project facts and decisions -> existing memory / Graphiti, when available Benchmark Real repo-navigation benchmark: rg : 1.395s total Semble MCP: 0.273s total Result: 5.1x faster semantic code discovery Tokenizer-measured context: about 5x fewer tokens CGC is not a grep replacement. It is useful for graph and architecture tasks. One complexity benchmark: CGC answer: ~1.3k tokens raw rg baseline: ~6.7k tokens Serena is also not a faster grep. It gives agents a compact map of code structure: functions, references, and symbols. One file-map benchmark: Serena: 35 tokens raw rg : 167 tokens Result: ~4.8x fewer tokens That can make the agent workflow faster because the agent reads less noise and needs fewer follow-up searches. Memory is optional here and is not installed by this plugin. When a memory system is available, it is for durable facts agents can read, update, and delete. In my local memory check, write/read/edit/delete was about 0.10s median and correctness passed 15/15 . Install One command installs the plugin and then offers optional setup for Semble, CGC, and Serena. It needs Bash, curl , and git , but no preinstalled plugin-kit-ai, npm, or Node. curl -fsSL https://raw.githubusercontent.com/777genius/universal-plugins-for-ai-agents/main/plugins/agent-code-navigator/scripts/install.sh | bash The optional setup is transparent. It prints what is installed, missing, skipped, or manual. With a global plugin-kit-ai install: brew install 777genius/homebrew-plugin-kit-ai/plugin-kit-ai # or npm install -g plugin-kit-ai@latest plugin-kit-ai version plugin-kit-ai add github:777genius/universal-plugins-for-ai-agents//plugins/agent-code-navigator If you already have plugin-kit-ai , use 1.2.4 or newer for Cursor support. The agent CLIs you want to configure still need to be installed and available in PATH . The installer is Bash-based: macOS/Linux are tested; Windows should use WSL or Git Bash. Notes The plugin works immediately with routing rules and rg -first fallback behavior. Semble, CGC, and Serena are opt-in. I kept heavy tools explicit because generic auto-MCP setup can make some agent CLIs slow or flaky. I tested clean GitHub install, curl | bash , Cursor local plugin materialization, Claude visibility, Gemini visibility, OpenCode visibility, Codex metadata, and marketplace CI. submitted by /u/IlyaZelen

Originally posted by u/IlyaZelen on r/ClaudeCode

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Why We Build (thelemmy.club)

Original Reddit post

One silver-lining to the dead internet we're living in, today, is that it's very quickly teaching us that we can't rely on our senses as much as we believe we can. It's not healthy to always live in skepticism, but it is necessary in a World where you don't know what's up or down anymore. That's why we need great minds to focus their attention on solving the problems associated with credible information sharing without it becoming some centralized playground designed to look like the free-flowing exchange of ideas. If we don't solve for that, then I guess we're heading into a future that a small handful of people want because elections or public opinion will no longer matter. One of the biggest focuses in AI should be in figuring out how to get it to provide deep credible knowledge in specific domains that can be best applied to the problems we're trying to solve. Sure, it can do this with enough fenagling, but what I really mean is having something easy for everyone to use like Perplexity or Gemini, only it doesn't simply find consensus information from the internet using all these black box methods that are owned by major corporations. Instead, it should use direct knowledge from domain experts who structure and cite their material and as users, we should be able to backtrack all of it, including the original author. And all of this should be achievable by simply engaging with a chatbot agent that can reliably go out and help me discover all of these things. Also, we shouldn't have to simply trust that the application works. We should be able to go in and see exactly how it's working. This way, the public can audit the systems we're relying on for grounding our worldviews. That, to me, is where we should be if we really want to break from the chains of propaganda and reclaim our genuine thoughts about how we ought to live. The alternative independent media space was co-opted long ago and now all of the feeds keep us in a state of perpetual dislocation from our friends, family, communities, new solutions, and better approximations to the truth. We exist in a walled-off digital pasture. But if regular people who are smart and capable enough decide to leverage this new technology, then we can break through the fencing and finally live in a world where discovery-based researching and learning can be easier than Google, which could eventually individuate society again, like how it was before, instead of keeping us clustered into specific groups based on our viewing preferences. That's why my brother and I got into this business. Yeah, sure, we also wanna make a buck so we can retire with dignity. That's true. But the drive has always stemmed from wanting to figure out a better way for people to share hidden insights and create things that are bigger than they thought they could handle. We have a long way to go, but we're making the first small steps, even if it isn't obvious, just yet. Bottom line, though? Humanity must figure out a way to help us master the means and methods of discovery-based knowledge acquisition, execution, and immediate distribution of information based on relevancy and needs from those who search instead of those who passively soak information in from the curated feeds. And all of this needs to be easy enough for a 12 year-old to do. If anyone else is working on this problem, we'd love to hear your thoughts, even if it's through a DM. We're living in the most exciting times, but with adventure, comes danger. So maybe, idk. Let's make it more fun and less hazardous, so that we can, at least, live long enough to re-tell this great story that we're all a part of. submitted by /u/CyborgWriter

Originally posted by u/CyborgWriter on r/ArtificialInteligence

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An End to Data Centers? (www.reddit.com)

Original Reddit post

submitted by /u/Dangerous-Jelly2309

Originally posted by u/Dangerous-Jelly2309 on r/ClaudeCode

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Original Reddit post

If you are using Claude Code, the CLAUDE.md file is a powerful lever to shape its behavior and prevent it from making silent assumptions or writing verbose, speculative code. Derived from the popular andrej-karpathy-skills framework, here is a minimal instruction block you can paste directly into your root CLAUDE.md to keep Claude surgical and grounded: Claude Code Behavior Rules

  1. Think Before Coding Never make assumptions about undocumented APIs or configurations. Ask clarifying questions if a task's requirements are ambiguous.
  2. Surgical Changes Modify only the minimum necessary lines of code to achieve the goal. Avoid refactoring adjacent or unrelated files unless explicitly asked. Match existing style, even if you would write it differently.
  3. Simplicity First Do not write speculative helper functions or complex abstractions. Prioritize simple, readable code over clever or DRY patterns.
  4. Goal-Driven Execution Establish clear test or verification criteria before writing any code. Run local tests or build steps to verify your changes actually work before completion. Keeping these rules short is key to preventing prompt-drift. If you want to quickly generate and customize these rules for your specific stack, testing frameworks, and linting tools, I put together a simple compiler here: [Link] Would love to hear what rules or constraints you regularly use to keep your agents from drifting. submitted by /u/Ambitious_Voice_454

Originally posted by u/Ambitious_Voice_454 on r/ClaudeCode

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Original Reddit post

Originally posted by u/WubbityWubWub_ on r/ClaudeCode

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Original Reddit post

I’ve been thinking a lot about how fast things are changing right now, and it hit me today that the old adage “ideas are cheap, execution is everything” is completely dead. It used to be 100% true. Having a great concept for an app, a game, a short film, or a business was worth basically zero on its own. The "friction tax" was just too high. If you didn't have $50k in savings, a massive tech stack skill set, or years of free time to grind away at manual labor, your idea died as quickly as it came to you. Execution was the ultimate gatekeeper. But over the last few months, AI has basically reduced the cost of production to near zero. If you can clearly describe what you want in plain English, you can build it. You don't need a dev team to launch an MVP anymore; you can text-prompt a functioning web app into existence in an afternoon. You don't need a Hollywood budget to create your own movie; you can generate a high-quality video trailer on your laptop. Because of this, production is no longer a competitive advantage. We’re heading into a future where literally everyone will have the ability to execute anything. But that creates a massive new problem: total noise and infinite abundance. When anyone can make a product, the marketplace is going to be flooded with clones. The new bottleneck isn't "can you make it?" It's "do you actually have a unique idea that adds value?" If your idea is just a generic tweak of something that already exists, a thousand other people are going to generate the exact same thing simultaneously. The premium is shifting entirely to originality, taste, and deep human insight. The phrase "ideas are cheap" belonged to a world where making things was hard. Now that making things is easy, your ideas are the only thing that actually has value. The future is crazy. Do you all agree with this? (AI + Me wrote this) 😄 submitted by /u/Captain-Obvious101

Originally posted by u/Captain-Obvious101 on r/ClaudeCode

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Rip Grok 2023-2026 (thelemmy.club)

Original Reddit post

This month marks the death of our beloved Unhinged Ai that failed to live up to standard and reduce it limit to oblivion. Fin. The end submitted by /u/Appropriate-Code-977

Originally posted by u/Appropriate-Code-977 on r/ArtificialInteligence

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Original Reddit post

Did CC just add scroll acceleration to the cli ... try using it with a trackpad... this is going down fast... submitted by /u/MrB0123

Originally posted by u/MrB0123 on r/ClaudeCode

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Original Reddit post

For almost a week, I have noticed a drop in performance in Opus 4.7. It is not following directions as well, often doing things well beyond what I asked it to do (which then has to be undone). It fabricated terminal commands and published them in my documentation. Skill files that are typically executed flawlessly are no longer being followed properly. Claude has been drawing wrong conclusions and showing a decline in its reasoning ability too. It even misspelled the word "probably" as "provably" during one session. My brother also reported a decline in performance for about the same time window. Surprisingly, I am not really seeing people post about their issues here, so I thought I'd explicitly ask. Are y'all having similar issues? In the past, this kind of degradation in performance typically came before the release of a new model. That, plus the release of new features in the harness has me wondering if we will be seeing a new release soon. Maybe Mythos is coming? submitted by /u/NoWorking8412

Originally posted by u/NoWorking8412 on r/ClaudeCode

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Original Reddit post

submitted by /u/Slackluster

Originally posted by u/Slackluster on r/ClaudeCode

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