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Production AI agents often fail silently due to issues beyond model hallucination, such as state inconsistencies. This talk outlines principles for building reliable agent harnesses, focusing on explicit state ownership, ordered mutations, and verifiable actions, using real-world case studies.
The post contains only an embedded YouTube video with no accompanying text, code, or analysis, offering no substantive engineering insight.
The paper proposes a retention‑constrained post‑training quantization benchmark for Cellpose‑SAM, showing that weight‑only W8A16 and a mixed W4/W8 scheme keep instance F1 scores while cutting model size 6.76×, whereas ternary quantization fails on most images.
Atlassian replaced its decade‑old gostatsd‑based metrics pipeline with a fully OpenTelemetry‑based stack by keeping the StatsD‑UDP contract on the client side and swapping in purpose‑built OTel Collector distributions for collection, ingest, aggregation, and forwarding. The migration was done incrementally, saved ~3.9% CPU per service, cut sidecar cost ~30% fleet‑wide, halved aggregation CPU, and…
The post walks .NET developers through using Microsoft Agent Framework's harness to turn a simple IChatClient into a fully‑featured C# AI agent, showing code for tool integration, file sandboxing, approval flows, and memory, then outlines further capabilities like skills and observability.
Mira-Scene proposes a compositional 3D scene reconstruction pipeline that replaces sparse pose regression with a dense Canonical Coordinate Map (CCM) linking image pixels to bounded object space. Coupled with a diffusion transformer, it achieves up to 40% higher 3D‑IoU than prior methods without scene‑level layout annotations.
FRAUDSkill is a framework that keeps a pretrained audio‑language model frozen and learns an external layer of skill programs, routing policies, and decision rules to meet a structured anti‑fraud detection protocol. On the TeleAntiFraud benchmark it reaches 73.5% Macro‑F1 (≈32% improvement) while cutting invalid predictions to 1.94%.
Neki is PlanetScale’s sharding layer for vanilla PostgreSQL that presents a single Postgres endpoint while routing queries across a fleet of Postgres instances. It does this with a set of tightly‑coupled components—Router, Sidecar, PostgresManager, Admin, Operator, and etcd‑backed Data Topology—each handling a specific piece of the scaling, failover, and query‑planning puzzle.
Geneticist Cameron Peace used DNA fingerprinting to identify a centuries‑old apple tree in Maine that turned out to be a lost progenitor of many modern U.S. apple varieties, highlighting the importance of preserving genetic diversity for future breeding.
The authors release a 12k‑instance multilingual dilemma dataset (English + Hindi, Arabic, Spanish, Chinese) covering three pairwise value conflicts (Honesty‑Justice, Justice‑Autonomy, Autonomy‑Honesty). Benchmarking GPT‑5‑mini shows a consistent Honesty‑over‑Autonomy bias across languages. Llama‑3.2‑1/3B models exhibit a first‑option bias that can be eliminated (>98% accuracy) via plain fine‑tuni…
