From on-device browsers to coding assistants and serving harnesses, agentic AI is moving into production, with reliability and useful outcomes as the key measures.
The Swedish startup Strawberry exits beta with an enterprise browser that embeds AI assistants. Agents run on the user's device, not on cloud servers, which can address data sovereignty demands. The company has raised $6 million and plans to scale ac...
A research team introduces Lighthouse, a neuro-symbolic digital assistant for exploring primary sources on the U.S. Civil Rights period in South Carolina. It combines an LLM with rule-based reasoning to balance coverage and trustworthiness, reducing ...
Enterprise AI is no longer decided by model choice. Architecture, memory management, scheduling, and optimization determine whether an LLM becomes reliable, economical, and scalable production capability. Starting from the workload, identifying the d...
Microsoft Research has introduced Flint-interactive, a language for building interactive data visualizations on top of Flint. It moves interaction logic away from low-level rendering code and toward semantic events plus update operators handled by a ...
The Mesa project has updated its AGENTS.md file to allow the use of LLMs in drafting code comments and commit/patch messages, provided a human reviews and edits them before integration. A move that signals a governance shift: no longer absolute bans,...
A user tested LFM2.5-24-A2B locally. With llamaampere it hits 130 tokens/s on an RTX A4500 but loops and fails simple requests. In LM Studio chat stabilises, but on the Hermes task for a Garnet plugin it produces broken code, omits functionality, and...
Recursive Flint is a coding model with 40 billion parameters and 2.5 billion active. It beats Qwen3.6-35B-A3B on TerminalBench 2.1 and SWE-bench Pro v2, offers a 262k token context and a 3:1 mixture of sliding window and full attention. The architect...
Enterprise AI is moving from experiments to production. The key metric is no longer cost per token or GPU-hour, but effective cost per useful outcome. Three models compete: bespoke stacks, on-demand consumption, and integrated private platforms. The ...
