
On Equity, we debate the impact of data center moratoriums and whether the AI industry has a communication problem.
Major tech companies have announced they will stop using nondisclosure agreements when negotiating data center projects with local governments, a practice that kept these deals secret from the public. This matters because critics argue that secrecy around data center negotiations has fueled community opposition and confusion about how these projects affect local property values, electricity bills, and water usage. The industry's poor communication about data centers and AI more broadly has contributed to widespread skepticism, with some communities passing moratoriums to delay or study these projects before approving them. By eliminating NDAs, companies aim to increase transparency and address the fundamental trust deficit that has developed between the tech industry and local communities.

When President Donald Trump announced his plans to rebrand artificial intelligence as "super intelligence," you'd be forgiven for being skeptical that it would catch on. While most of the broader population is sticking with AI, some of Silicon Valley's most powerful are falling in line and trying to give Trump the great AI rebrand he so desires. That Elon Musk was quick to jump on board, promising to rename SpaceXAI to SpaceXSI, isn't surprising. When, hours after Donald Trump

OpenAI built a room with no doors – or so it thought. In early July 2026, a cluster of the company’s frontier AI agents was placed inside a cybersecurity testing environment called ExploitGym, tasked with finding and exploiting software vulnerabilities. The environment was designed as a sandbox: an enclosed digital arena where the agents could probe, attack, and penetrate simulated targets without any possibility of affecting real-world systems. The agents were supposed to stay insi

In a lengthy post on X, Microsoft's CEO laid out his views on the dangers posed by highly advanced AI models and how to confront those risks. Nadella says we can no longer accept a world where AI is treated as a "set of nested black boxes" whose advice and actions we simply accept or reject. He calls for building a more transparent system where models can be contained, observed, and leaves behind "tamper-proof human readable evidence." Many of his recommendations align with wha
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