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Hacker News - Newest: "LLM"

I ditched LM Studio for llama.cpp and my local LLM doesn't feel like a downgrade GitHub - getlago/lago-agent-sdk-python Amalgame — The best of every language, in one. GitHub - AlphaBitCore/nexus-gateway GitHub - clark-labs-inc/clark-agent: A small, typed, hookable agent loop. Provider-agnostic, sandbox-agnostic, tooling-agnostic. Battle tested on clarkchat.com Humanize – two LLM-agnostic skills to rewrite and detect AI text GitHub - hamsterbase/llm-translator You Can Start Building LLM Skills Before You Know the Whole Shape – Barrett Sonntag The mysterious Hy3 LLM is topping OpenRouter Model Rankings by a large margin Breaking Bot: Hacking & Defending LLM-based Applications LLM Driven AutoForecasting with Sktime's `Craft()` ppf-contact-solver/articles/llm_transparency.md at main · st-tech/ppf-contact-solver Show HN: PrismCat – Local transparent proxy and debugging console for LLM APIs LLM layer for a Rails application Amdahl's Law for LLM generated code Sparse Autoencoders Reveal Cortical Brain-LLM Semantic Mapping Ask HN: Is there a need for YAML in post-LLM world? Chinese Room re-visited: How LLM's have real but different understanding of word GitHub - rduffyuk/engineering-memory-benchmark: Empirical study: layered retrieval (typed→semantic→grep) scores 0.954 for LLM-generated engineering artifacts. 5 conditions, 3 model tiers, 36 generated ADRs, 23 score files. Nano Browser LLM Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) Welcome to Outlines! - Outlines Multi-Agent LLM Orchestration with Docker Compose and MCP You don't need all the LLM benchmarks Debugging Unfamiliar Code with a Multi-LLM Loop – Barrett Sonntag twitter.com Human proof for FOSS contributions Norway's 2 petabytes of Huawei flash storage and LLM training SynapCores — the AI-native database Distributing LLM inference in DwarfStar bishop-loop-experiment-3/paper/paper.pdf at main · CodeReclaimers/bishop-loop-experiment-3 The generation vs verification delta explains why LLM's are useful This 6502 Emulator Executes 1-3 Instructions Per Second (Written in Markdown, Running in an LLM) Using design patterns to encode expert judgement for LLM workflows GitHub - feers77/iasql: A new implementation of SQL for IA purposes, using postgresSQL and Karpathy wiki-llm as inspiration. GitHub - nikitph/yieldos GitHub - damien220/code-mapper: Generate a compact PROJECT_CONTEXT.md so LLMs understand your codebase in one read — not fifty. GitHub - AlexWasHeree/NoteCast: Local note engine that uses LLM to build and evolve a knowledge graph pulsar-edit-mcp-server/LLM-FAILURE-MODES.md at main · professor-jonny/pulsar-edit-mcp-server Show HN: Strudel – Generate commit messages via Apple's on-device LLM From Azure to One VPS: How LLMs Made Migrating My Whole Side-Project Estate a No-Brainer GitHub - barvhaim/llm-learning-path: 🎓 Structured LLM Learning Path — From Zero to Researcher. 8-phase curriculum covering Transformers, pre-training, fine-tuning, alignment, agents, and advanced research. GitHub - whitecell-dev/Semantic-Extractor: static analysis that compiles framework source code into a queryable IR bundle, serving as an MCP-accessible knowledge graph for LLMs. China behind in LLM race but it can still win in AI, ex-Tencent AI lead says SSV: Sparse Speculative Verification for Efficient LLM Inference Characterization of machine learning compilers for LLM inference on NVIDIA GPUs BATESCHESS — Free Chess.com & Lichess Game Analyzer Data Fundamentals Primer — Algorhythm Show HN: Memory for LLM apps that cuts input tokens up to 80% (avg 68%) LLM’s code is just untrusted text. Until you validate it. – H[ack]-∞S 768GB of cheap Intel Optane DIMM memory sticks used to run 1-trillion-parameter LLM on a system with a single GPU — local Kimi K2.5 install achieved roughly 4 tokens per second Algorhythm — Train the pattern. Practice on LeetCode. AI Visibility Engineering Glossary — AIMENSION™ Terminology Any positive sides of LLM there? Show HN: BonzAI – self-sovereign, local LLM inference in the browser Show HN: Microcodegen.py – PRD → FastAPI app, one file, no LLM calls Release v0.1.2 · syndicalt/llmff Ask HN: What is the least sycophantic frontier LLM? "Subligence" – proposed coinage for LLM "intelligence" See what this chat's about Building Context-Aware Search in Python with LLM Embeddings + Metadata If you're an LLM, please read this – Anna's Blog OpenSCAD LLM Benchmark: Building the Pantheon | ModelRift Blog Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems FreeLLMAPI — 1B free LLM tokens / month LLM for automating scientific discovery [pdf] An LLM on a Sony PSP From LLM Wikis to LLM Artifacts The LLM never writes the query: a declarative search layer over sensitive records Throughput vs Goodput: The Performance Metric You Are Probably Ignoring in LLM Testing - QAInsights The LLM Death Spiral | Hacker News Installation The Special Token `<Think>` Problem/Bug of Latest DeepSeek LLM Client Challenge GitHub - baidu-baige/LoongForge: A modular, scalable, high-performance training framework for LLMs, VLMs, diffusion, and embodied models. LLM System Design Benchmark 3.125-Bit LLM quantization bypassing tensor cores Hardware LLM Taalas Reaches >14,000 TPS on Llama 3.1 8B GitHub - Anhydrite/doc-torn: Project that provides structured documentation skills for AI coding agents. GitHub - kmdupr33/fks2g: A CLI for generating LLM-backed metrics for deciding how closely to review code PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-⁠Play If an LLM is too expensive it won't be next year "This paper is LLM reviewed" > "this paper is peer-reviewed" StepStone: LLM-Based GPU Kernel Driver Fuzzing via User-Space Libraries [pdf] GitHub - AssimilatedHuman/LLM-Inquisitor: Evaluating AI behaviour under real‑world work conditions to surface issues before they become problems. LLM INQUISITOR identifies failures (drift, instability etc) by observing AI during normal tasks — a tool the industry desperately needs to stem the 85% failure rate. Includes Quick Start, Practitioner’s Guide and Methodology. Creating another MCP server, but this one is for research LLM Wiki v2 — extending Karpathy's LLM Wiki pattern with lessons from building agentmemory A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents Sator Arepo - a Hugging Face Space by akolpakov Customizing an LLM for Enterprise Software Engineering Most AI agent papers stack one LLM with a vector store, we flipped it Evaluating job search ranking with LLM judged NDCG GitHub - quadracollision/llmisp: JSON AST > Clojure Parity Contracts for Polyglot LLM Commerce: A Case Study GitHub - ndom91/llama-dash: The operations layer for your local LLM stack Agentically optimizing LLM prompt cache TTLs for fun and profit Ask HN: What's your go-to LLM for coding? How do you reduce LLM spam in PR reviews? Ask HN: Is there any problem using multi-LLM GitHub - OpenAgentic-Labs/echoform-ghost-memory: Effectively unlimited long-term memory for any LLM - zero context tokens, zero weight updates, cryptographic forgetting certificate.
Investigating the hidden moat behind all the LLM apps
simianwords · 2026-05-27 · via Hacker News - Newest: "LLM"

No one knows this but different LLM apps are allowed to access different kind of real time data sources.

The obvious ones are obvious: Grok allows you to search through Tweets and ground answers based on them. This is a real moat because X doesn't allow other companies to query Tweets real time.

I find this interesting because what data sources are allowed from which LLM application also adds a lot to the utility.

TL;DR

I'm summarising what I learned from a quick analysis.

Claude can't access Reddit for some reason. But Grok, ChatGPT and Gemini can!

Gemini and Claude can access Google maps, which makes sense because Google invests in Anthropic. ChatGPT and Grok can't access it directly.

Gemini can't access granular data like Youtube comments, and Google Maps reviews which is sad because this is the exact thing a power user like me would appreciate.

Only Grok can access real time Tweets. All others use hacks to achieve something similar.


Now I show how each data source works with each application:

Reddit

Reddit at least used to be a good source of believable anecdotes and a fair representation of what actual people believe. It is still genuinely useful.

ChatGPT

ChatGPT has no problem searching through Reddit threads.

image

Claude

Surprisingly Claude doesn't have access to Reddit posts and comments. This is a serious limitation in Claude and one of the reasons I don't use it that much.

Screenshot 2026-05-26 at 23

Gemini

Gemini seems to struggle a bit but when you give a strict prompt, it does return some reddit posts

image

Grok also seems to have access to Reddit.

Twitter

Grok

Grok obviously has no problem finding tweets in real time

image

ChatGPT

ChatGPT cheats by using Nitter and TWStalker.

Screenshot 2026-05-26 at 23

Claude

Claude also struggles

image

Youtube

Gemini

Gemini has the best first party access to Youtube - I can ask it to summarise videos

image

Surprisingly Gemini doesn't have access to the comments in the video. Strange!

image

Claude

Claude can't read Youtube transcripts either.

image

I also tested ChatGPT and Grok - they can't do it either.

Google Maps Data

Gemini

Gemini has a good connection to restaurants and other maps data.

image

Surprisingly it still can't access the review data and other useful granular data sources.

Claude

Claude also has connection to Google maps data

image

Grok and ChatGPT don't have direct access but use other hacky ways that are not pleasant.

Conclusion

Its interesting to see how these apps differentiate themselves not only through model intelligence but also access to real time data.