Articles about artificial intelligence, machine learning, and AI systems
ai
What if the ransom you negotiate today funds the attack that takes your business offline tomorrow? That's the paradox at the heart of ransomware economics. When organizations face an active incident, the pressure to pay feels overwhelming. Executives see the ransom demand, do the math, and conclude that
ai
Money was invented to manage scarcity. AI is making scarcity optional. The gap between the system we have and the world we're building is widening faster than anyone seems willing to acknowledge.
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3,000 new data centers. 90+ gigawatts by 2030. Residential electricity rates climbing. This is what happens when AI's infrastructure boom collides with a grid that wasn't designed for it.
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The cybersecurity industry has a workforce gap of approximately four million professionals globally, according to multiple industry surveys. Meanwhile, threat volumes continue their relentless climb. Enter AI agents, marketed as the solution that will automate away the workload, compress response times from hours to seconds, and ultimately make the SOC
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A practical implementation guide for securing file upload pipelines in LLM applications. Covers multi-cloud configurations, sandboxed parsing, content disarmament, and verification procedures with specific commands and code examples.
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A comprehensive advisory on securing file upload pipelines for LLM applications. Covers parser exploits, prompt injection vectors, and defense-in-depth architectures based on CVE-2025-66516 and OWASP Agentic Top 10 2026.
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The internet is full of stories about AI saying demonic things. But what would demonic possession of a language model actually look like, theologically speaking? I spent time with the research and found the answer is both more mundane and more interesting than you might expect.
ai
The pitch sounds reasonable on paper: fit more context, understand more, generate better. Context window size has become the primary marketing battlefield for frontier AI labs, with vendors announcing million-token contexts as if bigger is automatically better. But the numbers tell a different story, and the most telling data point
security
The economics of social engineering have fundamentally changed. Anyone with internet access can now launch sophisticated phishing attacks that were previously the domain of skilled criminals.
framework
After months using Claude Code with Anthropic models, I tried switching to OpenCode with MiniMax-M2.5. Here's the honest analysis of cost, speed, accuracy, and whether the tradeoffs are worth it.
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MCP tool descriptions are instructions, not metadata. Here's how attackers exploit that — and what the benchmark data actually shows about model safety alignment.
framework
A new ETH Zurich study finds that LLM-generated context files reduce task success rates and raise inference costs by 20%. Here's what the data actually shows.