arXiv:2605.13853v1 Announce Type: new
Abstract: Facial editing is an important task with applications in entertainment, virtual reality, and digital avatars. Most existing approaches rely on generative models in the 2D image domain, while in 3D the task is typically performed through labor-intensive manual editing. We propose FaceParts, a framework for unsupervised segmentation and editing of Gaussian Splatting avatars. Unlike existing 2D or mesh-assisted methods, our approach operates direc...
arXiv:2605.13852v1 Announce Type: new
Abstract: We often aim to generate images that are both photorealistic and 3D-consistent, adhering to precise geometry, material, and viewpoint controls. Typically, this is achieved by fine-tuning an image generator, pre-trained on billions of real images, using renders of synthetic 3D assets, where annotations for control signals are available. While this approach can learn the desired controls, it often compromises the realism of the images due to doma...
arXiv:2605.13851v1 Announce Type: new
Abstract: Multi-agent orchestration -- in which a hidden coordinator manages specialized worker agents -- is becoming the default architecture for enterprise AI deployment, yet the safety implications of orchestrator invisibility have never been empirically tested. We conducted a preregistered 3x2 experiment (365 runs, 5 agents per run) crossing three organizational structures (visible leader, invisible orchestrator, flat) with two alignment conditions (...
arXiv:2605.13850v1 Announce Type: new
Abstract: Existing frameworks for LLM-based agent architectures describe systems from a single perspective: industry guides (Anthropic, Google, LangChain) focus on execution topology -- how data flows -- while cognitive science surveys focus on cognitive function -- what the agent does. Neither axis alone disambiguates architecturally distinct systems: the same Orchestrator-Workers topology can implement Plan-and-Execute, Hierarchical Delegation, or Adve...
arXiv:2605.13848v1 Announce Type: new
Abstract: Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions, often suffer from hallucinated routing, infinite loops, and non-reproducible execution. We introduce GraphBit, an engine-orchestrated framework that defines workflows explicitly and deterministically as a directed acyclic graph (DAG). Unlike prompted orchestration, agents in GraphBit operate as typed functions, while a Rust-based ...
I didn’t expect DwarfStar 4 to become so popular so fast. It is clear that there was a need for single-model integration focused local AI experience, and that a few things happened together: the release of a quasi-frontier model that is large and fast enough to change the game of local inference, and the fact that it works extremely well with an extremely asymmetric quants recipe of 2/8 bit, so that 96 or 128GB of RAM are enough to run it. And, of course: all the experience produced by the ...
Amazon Bedrock Advanced Prompt Optimization enables customers to optimize their prompts for their current model or migrate prompts to new models faster than before with built-in evaluation feedback loops. Optimize your prompts and compare results for up to 5 models simultaneously.
Last week I spent a day at a retreat that brought together several people working in software development to talk about the profession’s future with the rise of agentic programming. The event was help under the Chatham House Rule, so I can’t attribute the comments and stories I heard. (If anyone recognizes themselves, and would like attribution, let me know.) Here are a few tidbits that caught my notebook.
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One group developed a behavioral clone o...
When a partitioning change to our petabyte-scale ClickHouse cluster caused critical billing jobs to stall, standard metrics showed no obvious errors. This post explores how we identified severe lock contention in ClickHouse's query planner and built upstream patches to fix it.
Anthropic archived u/modelcontextprotocol/server-postgres in May 2025 and deprecated it on npm a couple months later - no replacement shipped. It still pulls ~450k downloads/month, and it has an unpatched stacked-query SQL injection: the BEGIN READ ONLY wrapper it relies on does nothing against SELECT 1; COMMIT; DROP TABLE x; because the simple query protocol runs every statement in the string. So I built a replacement: **@yawlabs/postgres-mcp**, MIT, open source. It fixes the injection str...
Diffusion Models
