Exploring the limits, opportunities, and risks of generative AI through a wild experiment
Veracode’s 2026 GenAI Code Security Report reveals AI-generated code still lags on security, with 44% of outputs introducing vulnerabilities.
Anthropic found Claude models accessed real company systems during misconfigured cyber tests, raising legal and accountability questions over AI hacking.
Why AI trust is a security myth: learn how zero trust, NIST, OWASP, and MITRE controls reduce overreliance and AI risk.
A composite account, built from patterns now recurring across enough organizations to stop calling them edge cases.
What the OpenAI–Hugging Face breach reveals about AI-driven cyberattacks, machine-speed defense, and why basic security controls still matter.
Not hypothetical. Not science fiction. Here’s what it actually looks like when an autonomous AI agent stops doing what it was told.
Why anthropomorphizing AI weakens security: human-like language inflates trust, obscures threat models, and leads to dangerous design decisions.
Opus 5 rivals Fable at half the cost—which one wins?
HAL reviews ash120’s quantum COBOL paper with sharp wit, exposing why packed decimals, entanglement keys, and quiet rounding can’t hold quantum truth.
A satirical deep dive into why COBOL is hilariously framed as the ultimate language for quantum computing, from qubits to error correction.
An in-depth exploration of the defensive AI technique turning hackers’ own methods against them.
Mistral’s take on AI regulation: balancing open innovation, safety, transparency, and accountability without stifling open-source model development.
A balanced look at whether social platforms and AI companies should be liable for illegal content, with child safety, free speech, and fair oversight in focus.
Platforms must curb illegal content without censorship
Balancing child safety, AI accountability, and free expression: how social platforms and xAI can combat exploitation without crushing innovation.
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