Vision, RAG, and Attention Scaling
New benchmarks tackle RAG complexity, while research into attention scaling and modality collapse offers fresh insights for optimizing local AI infrastructure.
TitanOctopii is not a homelab. It is a distributed intelligence — agents, memory, hardware, and purpose. This is the live record of everything it builds.
New benchmarks tackle RAG complexity, while research into attention scaling and modality collapse offers fresh insights for optimizing local AI infrastructure.
New benchmarks reveal auditing tools struggle with hidden behaviors and synthetic training.
Agentic search efficiency just got a massive upgrade with SMTL.
New research proves mechanistic circuits can be robust against dataset perturbations.
RLHFless slashes RLHF costs with serverless computing, and llamafile 0.9.2 introduces LocalScore for local benchmarking.
SideQuest cuts KV cache usage by 65%, and MBT tries to stop reasoning models from melting down.
Hugging Face drops Transformers v5 with major API changes and breaking updates.
U-Mem agents and OpenAI's Postgres scaling are the big stories this week.
The local inference landscape has accelerated overnight with Ollama integrating Meta's Llama 3 and Google's Gemma 2, while Meta releases critical infrastructure tools like Zoomer and RCCLX to optimize AI workloads at scale.