✍️ Prompt Engineering - bigkevuk

cruxial-ai/cruxial: The reliability layer for LLM tool calls. Intercepts every call, validates arguments against your schema, auto-repairs hallucinated args.

🤖AI Agents Code

github.com··r/PromptEngineering

Claude Opus 4.8 system prompt leaked

💻AI Coding

gist.github.com··Hacker News

Anthropic Told Claude Not to Blackmail People. It Didn't Work. Here's What Did..

💻AI Coding Blog

medium.com

Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning

🧠LLMs Academic

arxiv.org·

Less-relevant results

Beyond the OWASP Top 10: Securing GenAI Apps with Google Cloud Model Armor

🔌APIs Blog

medium.com

New comment by elmoreeng in "Ask HN: Who wants to be hired? (June 2026)"

🔌APIs

drive.google.com··Hacker News

New comment by t_gamer_kle in "Ask HN: Who wants to be hired? (June 2026)"

🤖AI Agents Discussion

news.ycombinator.com··Hacker News

タイトル： I designed a trust layer system for LLM outputs — VERIFIED / CONSISTENT / ESTIMATED / REFUSED

🤖AI Agents Code

github.com··r/PromptEngineering

Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning

⚙️LLM Fine-tuning Academic

arxiv.org·

Building Better Activation Oracles

⚙️LLM Fine-tuning

lesswrong.com·

Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion

🔍RAG Academic

arxiv.org·

vishal-dehurdle/state-harness: Runtime safety net for LLM agents. Detects token spirals, kills doomed tasks early, tells you exactly why. Rust core, Python SDK. pip install state-harness

🤖AI Agents Code

github.com··Hacker News

Robust Active Learning for Few-Shot Example Selection in Text-to-SQL

🔍RAG Academic

arxiv.org·

Show HN: Black-box API bug detection across 7 AI systems

Making Local LLM Go Brrr

RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning

AI Agents Running Businesses: Andon Labs on Project Vend

Agent Arena: Causal Evaluation of Agents in the Real World

How we fight GPU scarcity without compromise

Better Prompting LLMs Through Analogies

cruxial-ai/cruxial: The reliability layer for LLM tool calls. Intercepts every call, validates arguments against your schema, auto-repairs hallucinated args.

Claude Opus 4.8 system prompt leaked

Anthropic Told Claude Not to Blackmail People. It Didn't Work. Here's What Did..

Dep-LLM: Training-Free Depression Diagnosis via Evidence-Guided Structured Multi-factor with Reliable LLM Reasoning

Beyond the OWASP Top 10: Securing GenAI Apps with Google Cloud Model Armor

New comment by elmoreeng in "Ask HN: Who wants to be hired? (June 2026)"

New comment by t_gamer_kle in "Ask HN: Who wants to be hired? (June 2026)"

タイトル： I designed a trust layer system for LLM outputs — VERIFIED / CONSISTENT / ESTIMATED / REFUSED

Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning

Building Better Activation Oracles

Unsupervised Style Representation Learning for AI-Text Detection via Paraphrase Inversion

vishal-dehurdle/state-harness: Runtime safety net for LLM agents. Detects token spirals, kills doomed tasks early, tells you exactly why. Rust core, Python SDK. pip install state-harness

Robust Active Learning for Few-Shot Example Selection in Text-to-SQL