Hewlett Foundation Commits $10 Million to Bridge AI Governance Gap
The Hewlett Foundation announced in a press release that it has committed $10 million in exploratory grants to address gaps in AI governance and the security of emerging technologies. The initiative supports efforts to protect critical infrastructure, prevent technological surprises, and promote public trust in innovation.
Major awards include funding for Stanford University's Hoover Institution to develop the Tech Futures Lab, which will focus on anticipating technological disruptions and strengthening national resilience. Vanderbilt University's Institute for National Security will receive funding for its Wicked Problems Lab, which is building defenses against synthetic information warfare such as deepfakes.
Other recipients include the AI Now Institute, Aspen Institute, Atlantic Council, Carnegie Endowment for International Peace, Council on Foreign Relations, Georgetown University, Global Network Initiative, Institute for Security and Technology, Observer Research Foundation America, RAND, and Sentinel Bio. The grants are part of a broader call from Hewlett Foundation President Amber D. Miller for philanthropy to help bridge the divide between government and industry in shaping effective AI governance.
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Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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