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Articles by Patrick Shafto
What Happens When the World is Run on Code No One Understands? Original
The International Congress of Mathematicians met in Philadelphia last month, its first U.S. meeting since 1986. Minutes after accepting the Fields Medal, mathematics’s highest honor, Jacob Tsimerman told reporters he was leaving academia to work on AI safety. “I think the world is changing,” he said, adding that he did not expect the mathematical career to survive in its present form.
What Happens When the World is Run on Code No One Understands?
7 hours ago When I first reviewed Halo Collar 5 in fall 2025, I called it “simply the best GPS dog tracker.” Imagine my surprise that it got better. Since the product launch, Halo added Precision+, which makes tracking your pet even more exact. It’s also a real benefit with Holo’s virtual fence feature. I tested …
[2408.02674] On Feasibility of Intent Obfuscating Attacks
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Efficient Discretization of Optimal Transport
Abstract : Obtaining solutions to optimal transportation (OT) problems is typically intractable when marginal spaces are continuous. Recent research has focused on approximating continuous solutions with discretization methods based on i.i.d. sampling, and this has shown convergence as the sample size increases. However, obtaining OT solutions with large sample sizes requires intensive computation effort, which can be prohibitive in practice.
Why Big Tech Companies Are Open-Sourcing Their AI Systems
The world’s biggest technology companies are handing over the keys to their success, making their artificial intelligence systems open-source. Traditionally, computer users could see the end product of what a piece of software did by, for instance, writing a document in Microsoft Word or playing a video game. But the underlying programming — the source code — was proprietary, kept from public view.
Why big tech companies are open-sourcing their AI systems
The world’s biggest technology companies are handing over the keys to their success, making their artificial intelligence systems open-source. Traditionally, computer users could see the end product of what a piece of software did by, for instance, writing a document in Microsoft Word or playing a video game. But the underlying programming – the source code – was proprietary, kept from public view.
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