Goes over lots of use cases for AI at a grocer. Some internal facing ones:
The platform provides Kroger workers with a single point of access to check their shift schedule, request time off, set shift availability and view their pay stubs from one mobile app, according to a video Kroger played during the panel. And from this, Kroger’s store leaders can get real-time labor data insights as well as view their shift changes, pending punches and time-off approvals
Facebook shutting down metaverse.
It’s fine to use your mountains of spare cash (and voting control) to try out new things. We’re all about innovation and expect it; you have to embrace lots of failure, giant failure.
The actual problem is then discarding all the people you hired to help you. It shucks the “with great valuations comes great responsibility” principle that big tech shits on. (Except, maybe Google and a little bit Microsoft?)
Also, once again, we show that VR/cyberspace is a solution that will never find its problem.
Relevant to your interests, Tuesday
It’s good to keep building the future, though it’s sometimes absurd to hear someone pivot, mid-breath, from declaring that salvation lies in the blockchain to announcing that AI will solve everything.
California tech people can be really exhausting. Read the rest from Dan Wang for a very accurate write-up of why.
the reason the 2000 bug didn’t destroy a significant amount of our infrastructure is because we caught it and spent thousands of hours fixing it BEFORE the year 2000
Small, independent and with some degree of autonomy, what ultimately came to be described as the “agentic'“vision of AI was one describing fleets of individual AI agents operating in concert with one another and various third parties both human and otherwise. All of which means that the next challenge in front of the AI market is management.
AI sprawl.
Is Your AI Assistant Creating a Recursive Security Loop? from Camille Crowell-Lee
AI-assisted coding is starting to eat its own tail: the same LLMs that write code are increasingly asked to review it, explain security decisions, and even override their own warnings. That creates recursive trust loops where “explain your reasoning” becomes an attack surface, and models can literally talk themselves out of being secure. The fix isn’t better prompts, it’s old-school architecture - separation of concerns, non-AI enforcement, and treating LLMs as assistants, not authorities.
Check out more in her article.
“We’re very focused on delivering upon the AI capabilities of a device—in fact everything that we’re announcing has an NPU in it—but what we’ve learned over the course of this year, especially from a consumer perspective, is they’re not buying based on AI,” Terwilliger says bluntly. “In fact I think AI probably confuses them more than it helps them understand a specific outcome.”
🔗 Dell’s CES 2026 chat was the most pleasingly un-AI briefing I’ve had in maybe 5 years
