LLM News and Articles
| Saturday, 2026-07-04 | ||||
| 23:56 | How to Shape an AI Agent’s Personality: Technical Methods and Theoretical Foundations for LLM-Based… https://chierhu.medium.com/how-to-shape-an-ai-agents-personality-technical-methods-and-theoretical-foundations-for-llm-based-c07a23aea53b | |||
| 23:25 | Mapping with In-Memory Layers to Reduce LLM Overload https://ridgetext.com/blog/mapbox-llm-composition | |||
| 23:07 | When Should You Use Prompt Engineering, RAG, or Fine-Tuning? https://medium.com/@saurabh11.maurya/when-should-you-use-prompt-engineering-rag-or-fine-tuning-4d156a084c25 | |||
| 23:02 | Your AI Refuses to Help. But Does It Refuse Correctly? https://medium.com/@rishi100/your-ai-refuses-to-help-but-does-it-refuse-correctly-9960f2e7ce0f | |||
| 23:01 | How to Design Tool Schemas That Prevent Bad LLM Tool Calls https://pub.towardsai.net/how-to-design-tool-schemas-that-prevent-bad-llm-tool-calls-b163944e5e2a | |||
| 22:59 | Democracy: Can Ralph save it? https://pairingwithbots.org/democracy-can-ralph-save-it-5f13bed23114 | |||
| 22:57 | Building a GPU from scratch to render Graphics and train AI models https://medium.com/@harishhacker3010/building-a-gpu-from-scratch-to-render-graphics-and-train-ai-models-113290bf36d2 | |||
| 22:47 | Out-of-core LLM inference engine written from scratch in Rust https://github.com/Vage91/Kortex | |||
| 22:19 | JEPA: The Complete Learning Path From “What Is It?” to Research Frontier https://medium.com/@nuctan/jepa-the-complete-learning-path-from-what-is-it-to-research-frontier-d90b239c6adc | |||
| 22:10 | Google Just Released OKF — The Missing Standard AI Agents Have Been Waiting For https://blog.gopenai.com/google-just-released-okf-the-missing-standard-ai-agents-have-been-waiting-for-7a813da371ab | |||
| 22:01 | Exploiting LLM Agent Supply Chains via Payload-Less Skills https://arxiv.org/abs/2605.14460 | |||
| 22:01 | How AI Agents Coordinate Multiple Tools Without Losing Control https://pub.towardsai.net/how-ai-agents-coordinate-multiple-tools-without-losing-control-058cb02cee3d | |||
| 21:57 | 39,5 Millionen Tokens gespart: Wie CodeDrift die KI-Entwicklung effizienter macht https://medium.com/@shadynathantawfik/39-5-millionen-tokens-gespart-wie-codedrift-die-ki-entwicklung-effizienter-macht-98372d54e8dc | |||
| 21:51 | GPT-5.5 Codex reasoning-token clustering may be leading to degraded performance https://github.com/openai/codex/issues/30364 | |||
| 20:17 | Possible evidence of literal prompt injection by Anthropic https://old.reddit.com/r/LocalLLaMA/comments/1unif51/possible_evidence_of_literal_prompt_injection_by/ | |||
| 20:15 | A Forensic Reading Protocol for Long-Horizon LLM Output https://medium.com/@rlmaehlum/a-forensic-reading-protocol-for-long-horizon-llm-output-c37d946ea9d0 | |||
| 19:23 | DFlash Easily Explained: How Block Diffusion Makes Speculative Decoding Faster https://luv-bansal.medium.com/dflash-easily-explained-how-block-diffusion-makes-speculative-decoding-faster-9c742c0fed9e | |||
| 19:21 | How Open Knowledge Format (OKF) Changes RAG: From Chunk Retrieval to Knowledge Retrieval https://medium.com/@technephalem/how-open-knowledge-format-okf-changes-rag-from-chunk-retrieval-to-knowledge-retrieval-3db6492fa41c | |||
| 19:19 | Artificial Intelligence Now https://medium.com/@aryansanghi008/artificial-intelligence-now-e8499e62dc1c | |||
| 19:14 | Your AI Vendor Isn’t Lying To You. They’re Just Not Telling You the Whole Truth. https://medium.com/@rajeshdaggupati/your-ai-vendor-isnt-lying-to-you-they-re-just-not-telling-you-the-whole-truth-3105f4bcd54f | |||
| 19:01 | LLMs Explained for Backend Engineers https://ameerhamza1.medium.com/llms-explained-for-backend-engineers-05455b4fd2de | |||
| 19:01 | Run Your First LLM Locally in 10 minutes https://medium.com/@anandkumar_34663/run-your-first-llm-locally-in-10-minutes-859369e53179 | |||
| 19:01 | Zuckerberg Admits AI Agents Are Behind Schedule. Meta’s Bill So Far: 5B and 8,000 Jobs https://pub.towardsai.net/zuckerberg-admits-ai-agents-are-behind-schedule-metas-bill-so-far-145b-and-8-000-jobs-59af6f139a26 | |||
| 19:00 | Mengapa LLM Bisa Terlihat Pintar? Membongkar Cara Kerjanya dari Nol https://noerbarry.medium.com/mengapa-llm-bisa-terlihat-pintar-membongkar-cara-kerjanya-dari-nol-a5fc956a9da6 | |||
| 18:45 | Overllm – flags where you're paying an LLM to do a regex's job https://github.com/theadamdanielsson/overllm | |||
| 18:42 | LLM vs. Generative AI vs. AI Agents vs. Agentic AI https://abhishek-iiit.medium.com/llm-vs-generative-ai-vs-ai-agents-vs-agentic-ai-49493d3a8560 | |||
| 18:39 | The Unified Arc: Arithmetic Spectral Theory and the Dawn of Cognitive Engineering https://medium.com/ai-simplified-in-plain-english/the-unified-arc-arithmetic-spectral-theory-and-the-dawn-of-cognitive-engineering-380f9ab7cc92 | |||
| 18:38 | The Architecture of Permanence: A Reconciliation of the Sovereign Machine Laboratory Archive https://medium.com/ai-simplified-in-plain-english/the-architecture-of-permanence-a-reconciliation-of-the-sovereign-machine-laboratory-archive-9955dd865018 | |||
| 17:33 | Build a Self-Correcting AI Agent with LangGraph and Ollama https://generativeai.pub/build-a-self-correcting-ai-agent-with-langgraph-and-ollama-80c43f8f8f17 | |||
| 16:58 | Neuro-Symbolic AI: Why the Future of Artificial Intelligence Needs More Than Bigger Language Models https://medium.com/@dinabeysinghe/neuro-symbolic-ai-why-the-future-of-artificial-intelligence-needs-more-than-bigger-language-models-e4dcda920f16 | |||
| 16:17 | Anthropic Issued with a Cease and Desist https://www.thatprivacyguy.com/blog/anthropic-cease-and-desist/ | |||
| 16:04 | NVIDIA HORIZON: A Hands-Free Agent that Evolves Git Worktrees and Hits 100% RTL Benchmark Completion https://www.marktechpost.com/2026/07/04/nvidia-horizon-a-hands-free-agent-that-evolves-git-worktrees-and-hits-100-rtl-benchmark-completion/ | |||
| 15:54 | Show HN: Gemma 3 inference in pure C++ with Metal acceleration https://github.com/ybubnov/metalchat | |||
| 15:36 | Student Swarms: I Sent 20 Free AI Models to Work. Here’s What Broke. https://medium.com/@amaniduniaapps/student-swarms-i-sent-20-free-ai-models-to-work-heres-what-broke-2edccdf6a5e0 | |||
| 15:26 | AI demand horizons and low-end disruption. https://jchyip.medium.com/ai-demand-horizons-and-low-end-disruption-382016cbc342 | |||
| 15:13 | Who Decides What AI Calls True? https://medium.com/illumination/who-decides-what-ai-calls-true-e78b5a8e2a78 | |||
| 15:05 | Your Context Window Is the Bug, Not the Model https://medium.com/@sebuzdugan/your-context-window-is-the-bug-not-the-model-dd29e71ba977 | |||
| 15:01 | Can Your Computer Run Nvidia’s 550B Model? Not Even Close, and the Reason Is Fascinating https://pub.towardsai.net/can-your-computer-run-nvidias-550b-model-not-even-close-and-the-reason-is-fascinating-cf27e1b3d351 | |||
| 14:51 | AI Hallucination: The Hidden Challenge Behind Artificial Intelligence https://medium.com/@chinmaynadiger13062004/ai-hallucination-the-hidden-challenge-behind-artificial-intelligence-63db645a3602 | |||
| 14:48 | NumPyro Forecast, The Orange Book of Machine Learning | Issue 95 https://medium.com/@rami.krispin/numpyro-forecast-the-orange-book-of-machine-learning-issue-95-156a9c88b25d | |||
| 14:41 | Building a Multi Source RAG Agent with LangGraph: Routing Between SQL and Vector Search https://medium.com/@samiyaalam1710/building-a-multi-source-rag-agent-with-langgraph-routing-between-sql-and-vector-search-10efa3681722 | |||
| 14:41 | Your Model Degrades at Token 4,000. https://swarnenduiitb2020i.medium.com/your-model-degrades-at-token-4-000-2b12cfaae350 | |||
| 14:40 | Three Witnesses, No Ordinary Spectators https://medium.com/@alyfe.how/three-witnesses-no-ordinary-spectators-c0dee2500137 | |||
| 14:37 | Large Language Models (LLMs): Transforming the Way Humans Interact with Artificial Intelligence https://medium.com/@abdhulmajith2000/large-language-models-llms-transforming-the-way-humans-interact-with-artificial-intelligence-358f05d7f25f | |||
| 14:19 | Why Generative AI is a Dead End: The Math Behind JEPA https://generativeai.pub/why-generative-ai-is-a-dead-end-the-math-behind-jepa-7e31294fef1a | |||
| 14:15 | Things to Know about Parallelizing Large Models https://medium.com/mlworks/things-to-know-about-parallelizing-large-models-36b3a50e2e2e | |||
| 13:48 | Token Prices Fell 67 Percent and Your AI Bill Tripled Anyway https://medium.com/data-science-collective/token-prices-fell-67-percent-and-your-ai-bill-tripled-anyway-08752216deb5 | |||
| 13:31 | The Invisible Disaster (Part 2) https://codefarm0.medium.com/the-invisible-disaster-part-2-01810a32e0e3 | |||
| 13:12 | Cutting API Costs by 90% via Token Routing Architectures https://medium.com/@UdaykiranEstari/cutting-api-costs-by-90-via-token-routing-architectures-7702f6f96474 | |||
| 12:44 | Understanding Large Language Models: The Technology Behind Modern AI https://medium.com/@khanarsalana356/understanding-large-language-models-the-technology-behind-modern-ai-1d4e35ab90a6 | |||
| 11:40 | From Prompt to Production #6: Yapay Zekâya Yazdırmak Değil, Doğru Yazdırmak: LLM’lerde Metin… https://medium.com/@simaynglu/from-prompt-to-production-6-yapay-zek%C3%A2ya-yazd%C4%B1rmak-de%C4%9Fil-do%C4%9Fru-yazd%C4%B1rmak-llmlerde-metin-fa9d64768fc7 | |||
| 11:40 | LLM Agents, The Way Nobody Told You — Part 4: The Agent Loop https://simran-kahlon.medium.com/llm-agents-the-way-nobody-told-you-part-4-the-agent-loop-a5edc6dc6c12 | |||
| 11:12 | Building an AI Event Recommendation Assistant Using Generative AI https://medium.com/@adarshchauhan9459/building-an-ai-event-recommendation-assistant-using-generative-ai-67e49ada4bb4 | |||
| 11:06 | The Fastest Way to Speed Up an AI Model? Make It Skip Parts of Its Own Brain https://medium.com/@dubey.abhinav76/the-fastest-way-to-speed-up-an-ai-model-make-it-skip-parts-of-its-own-brain-a231c5ae610d | |||
| 11:05 | Stop Using One Claude Model for Everything https://medium.com/@mehadi.cse38/stop-using-one-claude-model-for-everything-65723e6cf44b | |||
| 11:05 | Specification-Driven Feature Porting: How LLMs Change Cross-Platform Development https://medium.com/@vladimirlyseev/specification-driven-feature-porting-how-llms-change-cross-platform-development-6b6471c1c365 | |||
| 10:48 | AI Roadmap and Resources https://medium.com/@udayraj7/ai-roadmap-and-resources-3c2d6465cba6 | |||
| 10:40 | claude-opus-4–6 walked the whole corridor and never bled. https://medium.com/@ahmetarifoz.aaz/claude-opus-4-6-walked-the-whole-corridor-and-never-bled-24059ee4a8a6 | |||
| 10:28 | Provenance: Proving That Your Code Is Really Yours https://medium.com/@vektormemory/provenance-proving-that-your-code-is-really-yours-603c09407a97 | |||
| 10:18 | Glass-Box Data Agents https://medium.com/@david.jimenez.phd/glass-box-data-agents-5640ebc133da | |||
| 10:12 | I Got Tired of kubectl. So I Built a Kubernetes Assistant. https://rohit-ojha.medium.com/i-got-tired-of-kubectl-so-i-built-a-kubernetes-assistant-1e22c384c224 | |||
| 09:43 | Words have no intrinsic meaning / understanding; neither does AI-generated text. https://jacob-tan-en.medium.com/words-have-no-intrinsic-meaning-understanding-neither-does-ai-generated-text-c3e412746097 | |||
| 09:06 | Attention mechanisms: from intuition to vectorized self-attention https://medium.com/@writeronepagecode/attention-mechanisms-from-intuition-to-vectorized-self-attention-28d3561f8118 | |||
| 08:28 | Even If Frontier AI Became Free Tomorrow, Most Companies Wouldn’t Be Any Better at AI. https://blog.dataengineerthings.org/even-if-frontier-ai-became-free-tomorrow-most-companies-wouldnt-be-any-better-at-ai-4dc33c12761a | |||
| 08:08 | Inference Optimization in Large Language Models https://rishi-kumar747.medium.com/inference-optimization-in-large-language-models-64ea52a0cc53 | |||
| 08:07 | The Notebook That Ate Your GPU: Inside the KV Cache https://medium.com/@harshdaga18/the-notebook-that-ate-your-gpu-inside-the-kv-cache-923840696d6d | |||
| 07:57 | Building PromptX: Shipping LLM Prompts Without Deploying Code https://medium.com/@sudhir.sars/building-promptx-shipping-llm-prompts-without-deploying-code-f6d697f615c4 | |||
| 06:56 | I Asked an LLM to Build JPMorgan’s Compliance Ontology. Here’s What It Got Wrong. https://medium.com/@cloudpankaj/i-asked-an-llm-to-build-jpmorgans-compliance-ontology-here-s-what-it-got-wrong-fef0e15894e8 | |||
| 06:45 | Your Agent Doesn’t Need Better Search. It Needs Somewhere to Put What It Already Knows. https://medium.com/@chandantavane99/your-agent-doesnt-need-better-search-it-needs-somewhere-to-put-what-it-already-knows-262535629cdf | |||
| 06:37 | Scrivere al tempo delle LLM https://medium.com/@ern.bianchi/scrivere-al-tempo-delle-llm-c2ef75188480 | |||
| 06:17 | Unlocking the LLM’s Hidden Knowledge Engine: The 3X Matrix Expansion in FFN and SwiGLU https://medium.com/@pramodvitpune/unlocking-the-llms-hidden-knowledge-engine-the-3x-matrix-expansion-in-ffn-and-swiglu-5d31a05a5ced | |||
| 06:10 | Claude Fable 5 and the Inversion of Prompt Engineering: Why Your Best Prompts Now Make It Worse https://medium.com/data-science-collective/claude-fable-5-and-the-inversion-of-prompt-engineering-why-your-best-prompts-now-make-it-worse-50e855188258 | |||
| 06:01 | I Know What an LLM Is, But What Is a World Model? https://medium.com/@himanshu.kumar.singh/i-know-what-an-llm-is-but-what-is-a-world-model-bcfa59c64719 | |||
| 06:00 | Intent-Based API Middleware: LoRA Fine-Tuning (Part 1) https://medium.com/@teddycrpineau/intent-based-api-middleware-lora-fine-tuning-part-1-92b850c8c91f | |||
| 05:55 | API-Centric Data Architecture for Generative AI Platforms https://medium.com/@siva.kolla.hemanth/api-centric-data-architecture-for-generative-ai-platforms-3c5ee90f65ee | |||
| 05:39 | The Ontology Illusion: When Representation Is Mistaken for Meaning https://medium.com/@nfigay/the-ontology-illusion-when-representation-is-mistaken-for-meaning-5cc5591c35e9 | |||
| 05:11 | I am dreading our LLM-written incident report future https://surfingcomplexity.blog/2026/06/19/i-am-dreading-our-llm-written-incident-report-future/ | |||
| 04:36 | The SGLang Team Coded Engineering Expertise Into Agents. The Results Are Impressive https://ai-engineering-trend.medium.com/the-sglang-team-coded-engineering-expertise-into-agents-the-results-are-impressive-9e4e131ca7d3 | |||
| 03:46 | Part 1.1: From Zero to Distributed LLM Training Decisions: Before Training an LLM, Define the… https://medium.com/@shail251298/part-1-1-from-zero-to-distributed-llm-training-decisions-before-training-an-llm-define-the-fb5784ece8ca | |||
| 03:36 | The Agent Engine Room: 30 Ideas Behind Every AI Agent You’ll Ever Use https://ai.plainenglish.io/the-agent-engine-room-30-ideas-behind-every-ai-agent-youll-ever-use-09b520e16952 | |||
| 03:30 | Part 0: From Zero to Distributed LLM Training Decisions https://medium.com/@shail251298/part-0-from-zero-to-distributed-llm-training-decisions-0898d362cdae | |||
| 02:50 | Attention Is All It Takes: Transformers Explained for Beginners https://medium.com/@gatashwini/attention-is-all-it-takes-transformers-explained-for-beginners-0f14dfa4ef0e | |||
| 02:31 | Why a capable model is still not a product https://medium.com/@Vamsi.annamreddy/why-a-capable-model-is-still-not-a-product-88ba53da7724 | |||
| 01:58 | How LangChain, LangGraph, and SGLang Actually Work https://medium.com/@amitshekhar/how-langchain-langgraph-and-sglang-actually-work-8b1d3dec1c11 | |||
| 01:56 | Can You Trust an LLM Judge? https://medium.com/@perezcreations/can-you-trust-an-llm-judge-dd7c253ab1fc | |||
| 01:46 | Generative AI and the Productivity Qwenundrum. https://medium.com/@cnbrajesh/generative-ai-and-the-productivity-qwenundrum-c124b14e2771 | |||
| 01:34 | Building Agentic Systems with the OpenAI Agents SDK on Amazon Bedrock Mantle https://garystafford.medium.com/building-agentic-systems-with-the-openai-agents-sdk-on-amazon-bedrock-mantle-37f74645e75f | |||
| 01:23 | The Real Problem Isn’t AI Memory — It’s Project Memory https://medium.com/@liweishuoisfrankleeeeeee/the-real-problem-isnt-ai-memory-it-s-project-memory-359321827e2c | |||
| 00:04 | Show HN: Gavio: open-source interceptor pipeline for production LLM applications https://github.com/manojmallick/gavio | |||
| 00:01 | What Is a Token? ChatGPT’s Smallest Building Block Explained Simply https://pub.towardsai.net/what-is-a-token-chatgpts-smallest-building-block-explained-simply-728b1a81661a | |||
| Friday, 2026-07-03 | ||||
| 23:53 | Improving Auto model setting: making smart model choices based on user needs, model capabilities… https://chierhu.medium.com/improving-auto-model-setting-making-smart-model-choices-based-on-user-needs-model-capabilities-7e3d528f3202 | |||
| 23:52 | Auto-Model Routing in AI Agents and Products: A Builder, Analyst, and Academic Investigation https://chierhu.medium.com/auto-model-routing-in-ai-agents-and-products-a-builder-analyst-and-academic-investigation-f8258d27a1b6 | |||
| 23:27 | LangChain’s Two Best Ideas Are Not Chains https://medium.com/@gustavolirasn/langchains-two-best-ideas-are-not-chains-76f6aa3db096 | |||
| 23:27 | The Gemma4 1.5B Model Is Better Than You Think https://medium.com/@Hazall/the-gemma4-1-5b-model-is-better-than-you-think-bf3b6cb31838 | |||
| 23:21 | I built a secure AI search system for enterprise knowledge (and here’s what I learned) https://medium.com/@pbrudny/i-built-a-secure-ai-search-system-for-enterprise-knowledge-and-heres-what-i-learned-ce0270b6c142 | |||
| 23:09 | What Is MCP, and Why Do We Actually Need It? https://medium.com/@aqsaa.malik99/what-is-mcp-and-why-do-we-actually-need-it-1c60a7588b69 | |||
| 23:06 | A Simple Blueprint for Building Software with Agentic Coding https://prateek-bhatnagar89.medium.com/a-simple-blueprint-for-building-software-with-agentic-coding-a5f9412efc87 | |||
| 23:01 | Forget LLMs. World Models Are AI’s Next Leap https://pub.towardsai.net/forget-llms-world-models-are-ais-next-leap-fd3980cd7166 | |||
| 22:20 | Mistral AI Releases Leanstral 1.5: An Apache-2.0 Lean 4 Code Agent Model Solving 587 of 672 PutnamBench Problems https://www.marktechpost.com/2026/07/03/mistral-ai-releases-leanstral-1-5-an-apache-2-0-lean-4-code-agent-model-solving-587-of-672-putnambench-problems/ | |||
| 21:41 | Which Claude Should You Actually Ship With? A Solo Builder’s Model Map https://blog.startupstash.com/which-claude-should-you-actually-ship-with-a-solo-builders-model-map-cf4f5fe60e6b | |||
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