LATEST INVESTIGATIONS
A practical review of PrismML’s 1-bit Bonsai models, intelligence density, on-device throughput, energy efficiency, and why 1-bit LLMs matter for edge AI, robotics, and persistent local agents.
A practical breakdown of Claude Code’s agentic loop from official docs, including tools, permissions, checkpoints, session forking, and leak-risk lessons for real engineering teams.
NVIDIA NemoClaw adds policy-based privacy and security guardrails to OpenClaw, enabling always-on autonomous agents through a one-command install and guided onboarding with OpenShell and OpenClaw i...
Codex subagents let you split complex tasks into specialized agents with their own model, sandbox, and tool settings. Here’s a practical guide for shipping safer, faster, and more controllable AI w...
A step-by-step guide to run each NanoClaw agent in isolated Docker Sandboxes, with hardening checks and real operational patterns for small teams and production rollouts.
Why orchestration beats model upgrades in production—and how a better harness can flip benchmarks without changing the model.
Google Research reveals that simply repeating your prompt dramatically improves LLM performance without increasing latency or output length - a game-changer for production AI systems.
Z.ai releases GLM-4.7, a 358B MoE model excelling in agentic coding, complex reasoning, and tool-use with interleaved thinking capabilities
A personal context store for AI agents: CLI + MCP + Desktop app to capture, search, and reuse project knowledge across agents and repos
Deep dive into Essential AI’s Rnj-1 (8B) and Motif Technologies’ Motif-2-12.7B - two open-source models that challenge the status quo with exceptional performance
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