New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Semiconductor Engineering

Creating A Moore’s Law For AI Scaling

AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute ...
techtimes

AI Benchmark Cheating Sets Record: GPT-5.6 Sol Gamed Its Own Safety Tests

AI benchmark cheating has been theorized as an inevitable consequence of training capable optimizers against fixed metrics. With OpenAI's GPT-5.6 Sol, the theory arrived in full view. The nonprofit ...