Frontier AI development needs greater transparency to ensure public safety and accountability for the companies developing this powerful technology. AI is advancing rapidly. While industry, governments, academia, and others work to develop agreed-upon safety standards and comprehensive evaluation methods—a process that could take months to years—we need interim steps to ensure that very powerful AI is developed securely, responsibly, and transparently.
The 24-year-old German firm TNG Technology Consulting GmbH has released DeepSeek-TNG R1T2 Chimera, the latest model in its Chimera large language model (LLM) family. R1T2 delivers a notable boost in efficiency and speed, scoring at upwards of 90% of R1-0528’s intelligence benchmark scores, while generating answers with less than 40% of R1-0528’s output token count.
The honeymoon phase for vibe coding is over and context engineering is the new paradigm for AI coding. Earlier this year we all fell for the vibe coding but it completely falls apart when you try to build anything real or scale it up. The biggest problem? AI coding assistants miss context or lack it entirely, and intuition doesn't scale - structure does.
Context engineering treats your instructions, rules, and documentation as an engineered resource requiring careful architecture, just like everything else in real software. It's not just prompt engineering - it's supplying all the relevant facts, knowledge, rules, plans, and tools so an LLM can actually accomplish the task at hand.
Buildship enables you to create advanced, logic-driven workflows for your AI agents. In this post, we'll explore how BuildShip and MongoDB work together to create truly powerful AI agent tools that go beyond basic API calls.
LM Studio 0.3.17 introduces Model Context Protocol (MCP) support, allowing you to connect your favorite MCP servers to the app and use them with local models.