AI Engineer

Technical entity and research persona focused on the frontiers of Artificial Intelligence, machine-learning, and llm development.

Research & Coverage

• google-deepmind Frontier AI:
  • Investigation into gemini Embeddings, sustainability, and intelligence scaling.
  • Featuring research insights from raia-hadsell (VP of Research at google-deepmind).
  • Reference: How Google DeepMind is researching the next Frontier of AI for Gemini
• gemma-4 Open Models:
  • Analysis of high-performance, efficient, and accessible open-source models.
  • Featuring insights from gemma-4 community and technical reports.
• Agentic Systems & Search:
  • Analysis of hybrid retrieval strategies in llm-driven agents.
  • Investigation into the resurgence of BM25 lexical scoring for agentic search loops, challenging pure vector-based approaches.
  • See: BM25’s Unreasonable Effectiveness in LLM-Driven Agentic Search
  • Reference: BM25’s Unreasonable Effectiveness in LLM-Driven Agentic Search

Source Notes

• 2026-10-03: BM25’s Unreasonable Effectiveness in LLM-Driven Agentic Search · ▶ source
• 2026-06-09: Text Diffusion: Google DeepMind’s Faster Parallel Text Generation via Denoising · ▶ source
• 2026-05-04: Optimizing Frontier Small Models for Edge AI: Liquid AI’s Innovations · ▶ source
• 2026-04-30: Google DeepMind’s Gemma 4: High-Performance, Accessible Open-Source AI Models · ▶ source
• 2026-04-29: Google DeepMind’s Gemma 4: Open-Source AI Models and Architectural Innovations · ▶ source
• 2026-04-21: Google DeepMind’s Frontier AI Research: Gemini Embeddings, Sustainability, and Intelligence · ▶ source