Anthropic today released Claude Opus 4.8, an upgrade to its flagship model that ships at the same price as its predecessor, alongside a dramatically cheaper "fast mode" tier and a new feature that lets the model spawn hundreds of parallel subagents for codebase-scale work.
MiniMax is again raising the eyebrows of AI power users and developers around the world by releasing a new, in-depth technical report on the making of its popular M2 series of language models (M2, M2.5, and M2.7) shedding light on its numerous engineering innovations and clever approaches — while the company and its leaders also teased a whole new sparse attention approach for its upcoming MiniMax M3 series of models, which it says yields up to 15.6 times faster decoding (or LLM response) speed at long contexts (a million tokens) by adopting a custom sub-quadratic framework. In so doing, MiniMax has designed M3 to make ultra-long-context AI agent deployment economically viable.
When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often the primary limiting factor.
Researchers at multiple universities propose a technique called direct corpus interaction (DCI) that lets agents bypass embedding models entirely, searching raw corpora directly using standard command-line tools.
In this video, we look at OpenShell, the layer that runs the protection in NemoClaw Blueprints, but we actually do it with a LangChain DeepAgents harness to show how you can use a number of different agent options.
Ben AI demystifies the technical framework behind Claude Cowork, breaking down essential components like memory management, file access, and automated skills. Learn how to leverage local context, MCPs, and autonomous routines to build a scalable second brain that streamlines complex workflows and improves AI performance for individual projects or entire teams.
Google basically split Antigravity into multiple apps and the internet is LOWKEY crashing out trying to understand what happened.
This honestly feels like Google’s direct answer to tools like Claude Code, Codex, OpenAI Agents, and the entire rise of autonomous AI workflows.
At its Google I/O conference on Tuesday, Google unveiled an AI-powered overhaul of Search centered around a reimagined “intelligent search box” — what the company describes as the biggest change to this entry point to the web since the search box debuted more than 25 years ago.