The State of AI Infrastructure
Why most companies extract nothing from artificial intelligence, and what the ones who do are doing differently
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501(c)(3) nonprofit improving data literacy and math outcomes in underserved schools, founded in San Antonio, TX.
On the morning of his PyCon US talk, Dave Ferguson, a cybersecurity expert of 20 years, thought he’d prepared everything. The slides were polished.
Energy infrastructure is changing faster than policy can keep up. Power sources are becoming decentralized. Grids are growing brittle.
The codebase? OpenSSL—the open-source encryption library duct-taped across half the web. Passwords, medical records, nuclear power plant schematics—if it needed locking up, OpenSSL probably helped do it.
Travis Oliphant, creator of NumPy, explains the dangers of centralized AI.
Strategic addition furthers OpenTeams’ commitment to promoting transparent and sovereign AI in the government and defense sectors.
Picture a room with twenty highly-paid data engineers. At the front stands an instructor, a specialist brought in for a significant fee to teach the team a new, game-changing technology like Polars