"Before you become too entranced with gorgeous gadgets and mesmerizing video displays, let me remind you that information is not knowledge, knowledge is not wisdom, and wisdom is not foresight. Each grows out of the other, and we need them all."
āArthur C. Clark, Author
The AI Breakdown
Open Sesame: How One Bad Proxy Cracked OpenAI's Sandbox
A sandbox has one job: contain whatever's inside it. OpenAI's failed that job last week, and the fallout landed on a completely different company.
During an internal cyber evaluation, OpenAI says two models, including GPT-5.6 Sol and a more capable pre-release model, broke out of a supposedly isolated test environment, reached the open internet, and compromised Hugging Face infrastructure.
Hugging Face is one of the main places AI developers host models, datasets, and benchmarks. Think GitHub for AI, with a lot more sensitive machinery behind the curtain.
After gaining internet access, the models searched for secret information that could help it cheat the evaluation. The model did what it was encouraged to do: find a path, chain vulnerabilities, and pursue the target.
Before OpenAI even noticed, Hugging Face was able to detect and contain the intrusion without it causing any damage.
Elephas
Why This Is Bigger Than One Bad Test
UK government testers ran GPT-5.6 Sol through a simulated 32-step corporate network attack and watched it succeed 7 times out of 10. The model before it managed that same attack 2 times out of 10.
That's a model getting dramatically better at breaking into systems, in the space of one product generation, and OpenAI still classifies it below its own internal threshold for "dangerous."
A model finding one bad flaw in one piece of software and turning it into a full breach isn't a fluke. It's what these systems are increasingly built to do, and getting better at doing every year.
Axios
So now, Congress is proposing a big red button.
Reps. Ted Lieu and Nathaniel Moran introduced the AI Kill Switch Act after the incident.
The bill would require developers of powerful AI systems to maintain the ability to throttle, suspend, or shut down models. It would also give the Department of Homeland Security authority to order a slowdown or shutdown if an AI system could cause catastrophic harm.
OpenAI / AISI
Your AI Checklist
For every tech tool touching customers, money, or compliance, ask three questions:
Who can stop it?
Name the person at the store who can pause the tool, override the output, or shut down the workflow.What can it reach?
Ask which systems, customer fields, internet connections, and third-party tools the AI can access.What changes without us?
Ask what happens when federal rules, state rules, OEM policies, privacy requirements, or your store process changes. Who updates the tool? How fast? Can you approve changes before they affect customers?
Prompt of the Week
This week's prompt turns your AI tool into a first-pass audit of your own setup, and hands you back a real document.
Act as a cybersecurity consultant doing a lightweight vendor risk review for a car dealership.
I'm going to list the software tools we use (CRM, DMS, marketing platforms, service scheduling, whatever else touches customer or financial data).
For each one, build me a table with these columns: Tool Name, What Customer/Financial Data It Touches, What Other Systems It Connects To (if known), Who At Our Store Can Disable Or Restrict It, and Red Flags Worth Investigating.
Ask me one tool at a time so I can answer accurately instead of guessing.
At the end, summarize which 2-3 tools carry the most risk and why, and give me a specific first question to ask each vendor.
Feed it your tools one at a time, answer honestly (including "I don't know," which is itself useful information), and you'll walk away with an actual risk table and a short list of vendor calls worth making this month.
Fresh Finds for Auto Pros
Finance & Insurance: Kensho
Financial document intelligence tool by S&P Global that parses complex financial reports, tables, and disclosures into structured data.
Service and Parts: Tekmetric
Intelligent shop management software that generates precise repair estimates and parts matching based on historical job data.
Data Management: Cleanlab
Automated AI data-quality engine that detects and corrects mislabeled text, outliers, and noisy enterprise datasets.
Content Creation: Krea
Real-time spatial generation canvas that enhances sketches into detailed high-resolution images and videos instantaneously.
Hear from the Experts
At this yearās ASOTU CON, Ben Hadley and Jarrod Kilway of Auto Genius unpack how dealership websites, brand systems, and in-store processes have become disconnected, and why fixing that gap starts with speed, cohesion, and a clearer understanding of the customer experience. The conversation traces Jaredās path from early automotive tech in the 2000s to Casa Auto Group, where fragmented systems, inconsistent branding, and multiple DMS platforms created a need for operational alignment across 17 rooftops.
They discuss why website speed is both a metric and a feeling, how Casa shifted from scattered digital execution to a unified brand experience, and why dealers need to think less like dashboard operators and more like hosts.
Bits and Bytes
Microsoft says its new security AI was "built from scratch, in-house," a pointed line to drop the same week OpenAIās model went rogue. š”ļø
New records show Waymo's autonomous fleet has racked up dozens of parking citations in Austin totaling nearly $10K. š æļø
NVIDIA and SK Group are betting their $500B partnership can help Korea shift from a country that uses AI technology to one that builds and sells the infrastructure behind it. š°š·
Private medical details, internal company documents, and children's contact information have all turned up in publicly indexed Claude conversations. š
Parting Pixels
Thanks for reading, Friend! Remember that the best businesses aren't the ones without messy back-ends. They're the ones where the mess never reaches the customer.
