Stable HCP high-entropy alloys identified by knowledge-based screening and valence electron concentration criteria

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# All requested relation types appear in each result, even if empty

The threat extends beyond accidental errors. When AI writes the software, the attack surface shifts: an adversary who can poison training data or compromise the model’s API can inject subtle vulnerabilities into every system that AI touches. These are not hypothetical risks. Supply chain attacks are already among the most damaging in cybersecurity, and AI-generated code creates a new supply chain at a scale that did not previously exist. Traditional code review cannot reliably detect deliberately subtle vulnerabilities, and a determined adversary can study the test suite and plant bugs specifically designed to evade it. A formal specification is the defense: it defines what “correct” means independently of the AI that produced the code. When something breaks, you know exactly which assumption failed, and so does the auditor.

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The agreement is quite simple, laying out five points. The key ones are the first three: that the companies building data centers pledge to pay for new generating capacity, either building it themselves or paying for it as part of a new or expanded power plant. They'll also pay for any transmission infrastructure needed to connect their data centers and the new supply to the grid and will cover these costs whether or not the power ultimately gets used by their facilities.