SELECTED BLOG POSTS
AI Agents Are Changing How HR Leaders Work
From M&A risk and compliance to onboarding and employee experience, these leaders are moving beyond using AI and learning to build it. For the past two years, AI has dominated conversations about HR. Now, some HR leaders are moving from talking about AI to building with it.
Gartner predicts that by 2030, 60 percent of HR work tasks will be completed through intelligent agents or large language model-based interfaces. Gartner’s research suggests the question is no longer whether AI will change HR, but whether HR will help shape that change.
Nvidia’s Nemotron hit enterprise AI inflection point | Constellation Research
Nvidia’s open Nemotron models are at an inflection point where they’re likely to be the most dominant AI tools for enterprises. Simply put, you’ll either tailor Nemotron models on your own or consume them via your enterprise software vendor.
Connor Leahy: “We’re growing AI, not building it — we understand ~3% of what’s inside” : r/ArtificialInteligence
Just watched the hour interview. Three things:
Grown, not built. Neural nets self-assemble into billions of unreadable parameters. Anthropic’s CEO says 3% interpretability. That’s invocation, not engineering.
Exponentials give two windows: too early or too late. Leahy: 30% superintelligence by 2027, 50% by 2030. "1% already happened."
Superintelligence is copyable software. Millions of agents competing for power. Humans = ants on a highway.
Alignment: "We have no idea how to do this." Unsolved science, not hard engineering.
The blocker isn’t disagreement — it’s ignorance. Politicians/military all say: "Had no idea. What do we do?"
Forecasting the Economic Effects of AI – Forecasting Research Institute
We surveyed academic economists, AI experts, and superforecasters to produce the most comprehensive picture yet of how AI could reshape the U.S. economy. Respondents also evaluated the impact of six different policies intended to address the impact of rapid AI progress.
A warning about ‘model welfare’
AIs are not conscious. They do not feel, experience, or suffer. They do not have innate preferences or underlying motivations. They are sequence completion engines, internally hollow, designed to follow instructions, and accomplish goals set by humans.
If humanity is to flourish in the 21st century, that is how they must remain.
What we should do about emerging catastrophic AI cybersecurity risks
I have a different interpretation of the OpenAI/Hugging Face incident than most of my friends in cybersecurity; I found it unsettling, and see it as an inflection point in the history of our field. Yesterday, the Wall Street Journal released an exclusive on Hacktron’s 3-hour automated path to initial access into OpenAI’s monorepo and internal employee tools; I did the technical due diligence on this piece for the WSJ over the past few days and was very unsettled by it; I see this as further evidence of a phase transition.
Anyway, I’ve been digesting all this, and wanted to write down my current set of non-theses and theses about where we stand in AI security:
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