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AI Creative

Startups Pull Users Off Phones With In-Person Games and DIY Cyberdecks

CurrentLens
Jun 6, 2026

TechCrunch highlights founders building physical social products: Board raised funding for in-person games, and cyberdeck DIYs are going viral.

Agents & Automation

CopilotKit Secures $27M to Aid Development of App-Native AI Agents

CurrentLens
May 5, 2026

Seattle-based CopilotKit raises Series A funding to enhance deployment of native AI agents for developers.

AI Defense & Warfare

Pentagon Unveils $55 Billion Drone Strategy Under DAWG Initiative

CurrentLens
Apr 23, 2026

The Pentagon elaborates on a $55 billion funding initiative for drones aimed at enhancing military capabilities.

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Open Source & Research

DeepTrap uncovers contextual vulnerabilities in OpenClaw agents

CurrentLens
Jun 16, 2026

A new arXiv paper introduces DeepTrap, a black-box framework that finds execution-context attacks against OpenClaw and publishes a 42-case benchmark and code.

Enterprise AI

HPE Expands AI Factory With NVIDIA for Agentic Deployments

CurrentLens
Jun 16, 2026

HPE and NVIDIA expanded the HPE AI Factory to include NVIDIA Vera CPU and the NVIDIA Agent Toolkit, positioning the offering for agent-first production use.

Chips & Infrastructure

NVIDIA Blackwell Sweeps MLPerf Training v6.0, Tops Per‑GPU and Scale

CurrentLens
Jun 16, 2026

NVIDIA reported a clean sweep of MLPerf Training v6.

AI in Coding

Z.ai Ships GLM-5.2 with Usable 1M-Token Context

CurrentLens
Jun 16, 2026

GLM-5.2 arrives across GLM Coding tiers with a 1M-token context, two effort modes, Anthropic-compatible endpoints and no benchmarks at launch.

Agents & Automation

Adds execute_write_sql tool to request approval before DB writes

CurrentLens
Jun 16, 2026

datasette-agent 0.3a0 introduces execute_write_sql to prompt for user approval and apply DB permissions, plus chat CLI approval flags.

Models & Launches

Extend Vision-Language-Action Policies to New Tasks via Retrieval

CurrentLens
Jun 16, 2026

An arXiv paper shows frozen vision-language-action policies can absorb new tasks at test time by retrieving pool-side demonstrations instead of per-task fine-tuning.