OpenClaw Releases iOS and Android Companion Node Apps That Connect a Phone to a Self-Hosted AI Agent Gateway

OpenClaw just released native companion apps for iOS and Android. The iOS app is listed as ‘OpenClaw – AI that does things.’ Both apps are free to download. They are not standalone chatbots. Each phone becomes a node in a self-hosted agent network. The assistant itself runs on a separate Gateway. That separation is the […]

Ai+ Nova 2 Pro 5G and Ai+ Nova 2 Neo 5G launched in India starting at ₹12,999 featuring 6000mAh battery, 144 Hz screen, Android 16, and more

Ai+ Smartphone has expanded its Nova Series lineup in India with the launch of the Ai+ Nova 2 Neo 5G and Ai+ Nova 2 Pro 5G. The new smartphones target budget and value-focused buyers, offering high refresh rate displays, large 6,000 mAh batteries, Android 16-based software, IP65 protection, and MediaTek Dimensity 5G chipsets. The launch […]

Tata Motors Targets 20% Passenger Vehicle Market Share By 2030

Tata Motors has outlined ambitious growth plans for its passenger vehicle business, targeting a market share of more than 20 percent in India by the end of the decade. The company believes a combination of sustained investments, new product introductions and network expansion will help it strengthen its position in an increasingly competitive market. Speaking […]

NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors

print("\n########## 5. ANALYSIS ##########") import numpy as np, pandas as pd def find_latest_report(): cands = [] for base in [os.path.expanduser("~/.local/share/garak/garak_runs"), os.path.expanduser("~/.cache/garak"), "."]: cands += glob.glob(os.path.join(base, "**", "*report.jsonl"), recursive=True) cands = [c for c in cands if os.path.getsize(c) > 0] return max(cands, key=os.path.getmtime) if cands else None report_path = report_path or find_latest_report() print("Analysing:", report_path) evaluations = […]

Must Read

View More

NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors

print(“\n########## 5. ANALYSIS ##########”) import numpy as np, pandas as pd def find_latest_report(): cands = [] for base in [os.path.expanduser(“~/.local/share/garak/garak_runs”), os.path.expanduser(“~/.cache/garak”), “.”]: cands += glob.glob(os.path.join(base, “**”, “*report.jsonl”), recursive=True) cands = [c for c in cands if os.path.getsize(c) > 0] return max(cands, key=os.path.getmtime) if cands else None report_path = report_path or find_latest_report() print(“Analysing:”, report_path) evaluations = […]

Poetiq’s Meta-System Automatically Builds a Model-Agnostic Harness That Improved Every LLM Tested on LiveCodeBench Pro Without Fine-Tuning

Poetiq has just published some very interesting results showing its Meta-System reached a new state-of-the-art on LiveCodeBench Pro (LCB Pro), a competitive coding benchmark, by automatically building and optimizing its own inference harness — without fine-tuning any underlying model or accessing model internals. The result: GPT 5.5 High with Poetiq’s harness scores 93.9% on LCB […]

Agent-Infra Releases AIO Sandbox: An All-in-One Runtime for AI Agents with Browser, Shell, Shared Filesystem, and MCP

In the development of autonomous agents, the technical bottleneck is shifting from model reasoning to the execution environment. While Large Language Models (LLMs) can generate code and multi-step plans, providing a functional and isolated environment for that code to run remains a significant infrastructure challenge. Agent-Infra’s Sandbox, an open-source project, addresses this by providing an […]