Google Cloud and Accenture are working together on a joint unit dedicated to sending engineers into enterprises to help them better adopt Google’s AI tools and services.
The new unit, dubbed Accenture Gemini Enterprise Business Group, is Google’s latest foray into the increasingly competitive world of “forward-deployed engineers,” or FDEs. Rivals in the AI race, including OpenAI, Anthropic, Microsoft, and Amazon, have all recently launched separate business units in a bet that implementing AI models can become its own trillion-dollar business. — Read More
Daily Archives: September 10, 2026
The Eval You Cannot Trust Is Your Own
I wrote a forty-question eval set for a text-to-DAX pilot, and I saved it in the shared workspace the vendor’s solution architect already had Viewer access to, because I wanted the pilot to move. By the third demo the model was answering all forty. I could not tell anyone in that room whether the tool actually worked, because I had quietly destroyed the only instrument I had for measuring it. I spent a Saturday writing forty new questions I told nobody about, and the gate review slipped two weeks. I still do not know if that first tool was any good. — Read More
China-Based Artificial Intelligence Companies Conducting Industrial-Scale Distillation Campaigns Against U.S. AI Companies
China-based artificial intelligence (AI) companies are conducting systematic extraction of proprietary functionalities and capabilities of U.S. AI companies’ models through industrial-scale knowledge distillation campaigns that form the core—not merely a supplement—of their AI development strategy. While “distillation” is recognized as a legitimate and useful technique in AI research, China-based AI companies are engaging in aggressive, malicious, and targeted distillation activities at an industrial scale that extract restricted proprietary functionalities and capabilities of U.S. frontier AI models. The National Security Agency (NSA), Cybersecurity and Infrastructure Security Agency (CISA), and Federal Bureau of Investigation (FBI) (hereafter referred to as the authoring agencies) are releasing this joint Cybersecurity Advisory to alert organizations about these malicious activities and techniques and recommend mitigations to reduce their potential impact. — Read More
‘Gambling with our lives’: Another AI employee quits over safety concerns
“The people building AI earnestly believe that it could kill us all by the end of the decade.”
That blunt admission from former Anthropic employee Jacob Coxon made waves Tuesday, as the just-quit 27-year-old AI researcher spilled the beans on his way out the door in a resignation thread on X. — Read More
Postscript: And a few days later, an OpenAI engineer double down with An Alien Mind!
God Help Us, Let’s Try To Learn About Mechanistic Interpretability Techniques
Mechanistic interpretability is the science of “reading an AI’s mind”.
Large language models are “grown, not built”. Researchers run training data through a neural network. Eventually this creates a working AI; nobody really knows how.
But a neural network is just a set of simulated neurons on a computer. The person with the computer can see the neurons, the connections between them, and which ones activate when the AI answers questions. So it seems like it should be possible to “reverse engineer” the AI. … Unfortunately this is very hard. — Read More
