How Target is rethinking search for generative AI - 🤖 To stay ahead, Target is training its AI agents to understand product context deeply and surface assortments that reflect how people shop in the real world. Bhosale gave an example of a “summer party” query that should generate not just tableware, but grills, décor, sunscreen, and more—a holistic, curated experience.

🤖 The New Lost Generation: Phone Addiction, Expats, and the AI Fork in the Road

Our modern addictions—especially to our phones—have quietly become the backbone of daily life, eroding memory, attention, and a sense of self. Against this backdrop, a wave of cultural withdrawal, from sobriety to expat living, reflects a deep desire to reset before AI either liberates us or consumes us. AI generated summary of: The new Lost Generation. Key Points Modern addiction has shifted from substances to screens, with phone dependency becoming unavoidable for work and survival.

I Blame the AI - “Accountability sinks are systems designed so that when things go wrong, no individual human can be held responsible for fixing them. He argues that ‘decisions are delegated to a complex rule book or set of standard procedures, making it impossible to identify the source of mistakes when they happen.’” So, therefore: “Redesigning roles and AI systems with human overrides will be essential to ensuring accountability. At least for now, every key decision still needs a person behind it & maybe that’s enough to rebook quickly enough to get home for dinner."

AI-Generated “Workslop” Is Destroying Productivity - “We define workslop as AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task.” And: “Each incidence of workslop carries real costs for companies. Employees reported spending an average of one hour and 56 minutes dealing with each instance of workslop."

So many links, so many finds

PaaS TalkWe’re trying to amp up more technical explanations and demos of why Tanzu Platform/Cloud Foundry are great. Here is a little front-runner for a demo I’m going to extract from this same talk. Relative to your interestsI didn’t take the time to organize these by topic. Apologies and kisses. UK government productivity not enhanced by Copilot AI - ‘The main uses were “transcribing or summarising a meeting”, “writing an email”, and “summarising written communications”.

Waiting for the Eurostar in that little space - both at Centraal and St Pancras - crammed in with your fellow humans isn’t Brueghel. It’s Bosch.

Occupying TikTok with love - “And TikTok is full of advice about how to break out of this ‘200 views jail’ - have a niche, have a hook, look at trends - but maybe instead we could just think ‘how beautiful, TikTok are going to share my thing with 200 random people scattered around the earth’. It’s not a jail, it’s a window. (Or it’s a jail with a window)"

Do Not Shred Your Fingers In An Actual Blender - “Yes, sometimes LLMs can simulate humans. Yes, sometimes those simulations can be useful. But be wary of a simulation if you can’t verify its accuracy/efficacy. When you cannot yet distinguish fact from fiction, relying on a fiction pump seems unwise."