Category Archives: Artificial Intelligence

Explore the frontiers of neural networks and LLMs. Practical tutorials, ethical debates, and the tangible impact of tools like Gemini, OpenAI, and Anthropic on modern productivity and security.

Claude Mythos Breach: Anthropic Investigates Unauthorized AI Access

Anthropic has confirmed an investigation into a Claude Mythos breach following reports of unauthorized access to the restricted frontier-plus model designed for cybersecurity defense. Continue reading

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AI Security Summit: Black Hat Asia 2026 Tackles Frontier AI Risks

The inaugural AI Security Summit at Black Hat Asia 2026 focuses on protecting frontier AI systems and autonomous agent workflows within the global financial infrastructure. Continue reading

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Google Agentic Defense and Antigravity AI Coding Platform Launched

Google Agentic Defense was introduced at Cloud Next ’26 to address rapid threat actor speeds, alongside the consolidation of AI coding under the Antigravity platform. Continue reading

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Automated AI Lab: Core Automation Launches to Revolutionize Research

Discover how Core Automation is building the first true Automated AI Lab, shifting from manual scaling to self-evolving architectures and autonomous neural network design. Continue reading

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Autonomous AI Penetration Testing: The PentAGI Open-Source Revolution

VXControl launches PentAGI, a breakthrough in autonomous AI penetration testing that automates complex security assessments using a multi-agent framework. Continue reading

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Claude Mythos: Anthropic Unveils Specialized AI for Security Research

At the SANS Cybersecurity Summit, Anthropic introduced Claude Mythos, a new model optimized for large-scale vulnerability research and autonomous exploit chaining. Continue reading

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OpenAI GPT-Rosalind Debuts Amid Florida Criminal Investigation

OpenAI GPT-Rosalind has been unveiled as a specialized model for life sciences, even as the company faces a criminal investigation in Florida following a tragic shooting. Continue reading

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State of AI Engineering 2026: Multi-Model Norms and Agentic Workflows

The 2026 State of AI Engineering report reveals a massive shift toward multi-model norms and autonomous agentic workflows, as 69% of organizations now utilize three or more distinct models for production. Continue reading

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Google Deep Research Agent Released with MCP Server Integration

Google has officially launched its new Google Deep Research agent featuring native MCP server integration for automated context gathering and enhanced collaborative planning via the Gemini API. Continue reading

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