AI Safety and Alignment: The Fundamentals
What the alignment problem actually is, the real techniques used to address it today (RLHF, Constitutional AI, red-teaming), and the institutions now evaluating frontier models.
What the alignment problem actually is, the real techniques used to address it today (RLHF, Constitutional AI, red-teaming), and the institutions now evaluating frontier models.
Why how you ask still matters even as models get more capable, the core techniques with the research behind them, and the shift toward structured, agent-ready prompting.
How RAG grounds LLM answers in real, up-to-date data instead of frozen training knowledge, the architecture behind it, and how it differs from fine-tuning.
Google promised Gemini 3.5 Pro general availability in June. It is now July, the model is still in limited Vertex AI preview, and the reasons for the slip are more interesting than the 2-million-token context window.
Zhipu released the open-weight GLM-5.2 within days of the US blocking foreign access to Anthropic frontier models. The benchmark numbers behind the geopolitics, and what it means if you want to run it yourself.
OpenAI is previewing GPT-5.6 as a three-tier family, Sol, Terra, and Luna, restricted to API and Codex partners at the request of the US government. Here is what each model is for and what it costs.
How self-attention, multi-head attention, and positional encoding work together, and why the transformer architecture replaced RNNs across nearly every AI domain.