#### Engineering

Mar 30, 2026

[**Engineering interviews in the era of agents**  
Two years ago we published our stance on coding assistants in interviews. A lot has changed…](/content/blog/engineering-interviews-in-the-era-of-agents/index.html)

Jan 30, 2025

[**Against RL: The Case for System 2 Learning**  
Reinforcement learning may boost LLMs today, but it cannot deliver safe, long-term intelligence. We argue for System 2 learning instead.](/content/blog/system-2-learning/index.html)

Jul 23, 2024

[**Trust at scale: Auto-evaluation for high-stakes LLM accuracy**  
Elicit develops LLM-based auto-evals to balance scale, trust, and flexibility, ensuring reliable scientific reasoning at superhuman speed.](/content/blog/auto-evaluation/index.html)

Jun 22, 2024

[**How to Hire AI engineers**  
Not every AI role needs a PhD in ML. A good AI engineer can bridge full-stack skills with LLM expertise, making AI practical in real products.](/content/blog/how-to-hire-ai-engineers/index.html)

Jun 13, 2024

[**From grep to SPLADE: A Journey Through Semantic Search**  
Elicit implements SPLADE to leverage semantic search while retaining consistent rigor and accuracy.](/content/blog/semantic-search/index.html)

Jan 11, 2024

[**Coding Assistants in Technical Interviews: Our Stance**  
Elicit's nuanced stance on coding assistants in interviews: welcome as tools for testing insight, but not as replacements for genuine reasoning.](/content/blog/coding-assistants-and-interviews/index.html)

Dec 20, 2023

[**Build a Search Engine, Not a Vector DB**  
Don’t confuse embeddings with memory. To build effective RAG, start with a search engine, not just a vector database.](/content/blog/search-vs-vector-db/index.html)