he Agentic Trust Framework (ATF) is an open governance specification for autonomous AI agents, applying Zero Trust principles across five core security elements. Published through the Cloud Security Alliance and licensed under CC BY 4.0.
ATF answers the question every organization deploying AI agents must face: How do we maintain control? — Read More
Daily Archives: June 18, 2026
Building AI Agents for AR Glasses and XR Devices with NVIDIA XR AI
Developers building for AR glasses and wearable devices face an infrastructure gap. The hardware is ready, but creating AI experiences requires integrating live camera and microphone streams, multimodal AI models, enterprise data, tool use, deployment infrastructure, and device-specific runtimes.
NVIDIA XR AI is designed to address this challenge by providing a reusable foundation for connecting extended reality (XR) devices to GPU-accelerated AI services running in the cloud, data center, workstation, or edge. — Read More
On Post-Quantum Security Adoption
From Alex’s blog post, I’ve learned that there are enough recent breakthroughs in quantum computing that I should take post-quantum cryptography seriously. Google and Cloudflare both set a target of 2029 for having their systems secure against quantum computers. Similarly, the UK government is targeting 2035.
The issue is that cryptography is built upon math problems that are difficult to solve. Quantum computers make solving some of these problems such as integer factorization and discrete logs easier. If someone has a quantum computer that can sufficiently solve those two problems, then they can likely decrypt many ciphertexts that were produced using asymmetric cryptography techniques (think public/private key-pairs). Wikipedia has a great article discussing post-quantum cryptography if you want to read more.
Given all that, if the cost isn’t too high then it’s not a bad idea to look at our current systems and see what we can make quantum-resistant today. — Read More
Only 16 percent of Americans think AI will have a positive impact on society, a new study shows
Despite the fact that AI increasingly dominates our economy (it’s a hot IPO summer and we’re all just along for the ride), most Americans are not particularly optimistic about the technology’s long-term impact on the country, a new study from Pew Research reveals.
… Only 16% of Americans think that AI’s impact on society during the next 20 years will be positive, Pew says, while around 40% say that it will have a negative impact. — Read More
Finding Optimal Tokenizers
In this post, I will present an algorithm that was able to compute an optimal tokenizer in some settings. This result is cool because optimal tokenization is theoretically intractable, but seems to be solvable in practice. My finding is very similar to various results on the Traveling Salesman Problem (TSP), where even difficult instances can be solved optimally using cutting-plane techniques.
I’ll highlight that, while this result is cool, there are a few reasons that it isn’t necessarily useful. First, the existing state of the art was already somewhat close to optimal (often within 1%). Second, even if a tokenizer is optimal on the training data, it may not generalize as well as other tokenizers when evaluated on held out test data. Finally, inefficient tokenizers are basically fine: you can pay for the cost of a less efficient tokenizer by slightly increasing your vocabulary size. — Read More
The Bill Arrives: How to Manage Agentic AI Costs at Scale
What do the Uber budget blowout, a 24x token multiplier, and context teach us about building a real business case for AI Agents in production?
Let’s start in April 2026, when Uber’s CTO Praveen Neppalli Naga said something every engineering and finance leader building or buying agentic AI should sit with: “I’m back to the drawing board, because the budget I thought I would need is blown away already.”
Claude Code adoption jumped from 32% to 84% of Uber’s 5,000-engineer org between December 2025 and March 2026. By April, the entire annual AI budget was gone. … According to Gartner’s March 2026 analysis, agentic models require between 5 and 30 times more tokens per task than a standard chatbot. — Read More
Rick's Cafe AI 