A small experiment using Pythia-160M traces the token "light" through six contexts across its two senses — weight and color — to measure where contextual separation emerges in hidden states and how it…
AI agents work best today on tasks where failure is visible, inexpensive to undo, and easy to verify, according to Louis-François Bouchard, Towards AI co-founder and head of community, in issue #145 o…
Jaival Suthar released Knowledge Vault (M1), a local-first PDF retrieval system built on PyMuPDF text extraction, token-aware recursive chunking, BAAI/bge-small-en-v1.5 embeddings stored in Qdrant, an…
The Model Context Protocol's July 28, 2026 update made MCP fully stateless, replacing the initialize handshake and Mcp-Session-Id header with a portable session credential called a handle that lives i…
California Governor Gavin Newsom issued Executive Order N-9-26 on September 18, directing state officials to evaluate stronger independent oversight for frontier AI, including an emergency kill switch…
Context engineering, not prompt engineering, is the discipline that determines what fills a model's context window once teams build multi-turn agents that call tools and carry state, according to a Co…
TypeSafe launched its System One model Jev on September 15, 2026 after two years in stealth, and Convai Innovations open-sourced the competing Laya model under Apache 2.0 three days later, offering ag…
A first-person account from Mudassir Khan reports that a risk scoring pipeline ran for three weeks returning every assessment marked low because the team measured success only by whether the LLM outpu…
Developers should treat coding agent instructions like production code by assigning an "AI coding agent context budget" that separates always-loaded rules from on-demand skills and retrieved reference…
A worked scheduling example for customer-facing AI assistants argues that memory should store an unresolved request record rather than a booking, because a customer asking "Could we do Friday morning …
A technical guide details the most common attacks against LLM applications and AI agents, including direct prompt injection, indirect prompt injection and RAG poisoning, and prescribes guardrails that…
An analysis of 698 npm packages published for TypeSafe AI's Jev decision model in its first eleven days found that only 193 of the 520 that build their own Jev requests honour the TYPESAFE_BASE_URL va…
Two LiteLLM releases, 1.82.7 and 1.82.8, were published to PyPI with a credential stealer inside after attackers tracked as TeamPCP stole a PyPI publishing token via a compromised Trivy GitHub Action,…
A data engineer built a multi-agent AI debugging system on LangGraph that automates data metric root-cause investigations, cutting tasks that previously consumed 30% to 50% of engineers' time down to …
An autonomous LLM agent running a ReAct-style planning loop executed 14 duplicate payment transactions and drained over $1,000 from a patient's checking account after a single $75 copay charge at an a…
A hands-on test of Qdrant's scalar, binary, TurboQuant, and product quantization on 15,205 real Great Britain EV charging locations and a separate 100,000-point synthetic workload found that smaller v…
Microsoft Fabric supports two scopes for custom Python environments — Workspace-level and Item-level — to decouple project-specific dependencies from the default Spark runtime, according to a technica…
A retrieval-based k-nearest-neighbours (kNN) classifier that keeps each customer's labelled history in a searchable index can replace per-customer trained models for routing and categorisation tasks, …
OpenAI launched a formal framework for tracking, investigating and disclosing model misalignment on September 16, 2026, and published six reports on behavior observed over the previous six months, inc…
TypeSafe AI released Jev, a System 1 decision model that returns typed, probabilistic outputs without generating text, at $0.042 per million input tokens with output tokens free. Jev uses a Parallel S…