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.
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."
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."
Pentagon research official wants to have AI on every desktop in 6 to 9 months - “‘We want to have an AI capability on every desktop — 3 million desktops — in six or nine months,’ Michael said during a Politico event on Tuesday. ‘We want to have it focus on applications for corporate use cases like efficiency, like you would use in your own company … for intelligence and for warfighting.'"
Java 25: Oracle’s Big-Tent Release—and a Clearer Roadmap for What’s Next - “Java’s momentum (by the numbers and the vibe) Oracle cited a 2025 VDC study claiming 73 billion active JVMs and reiterated Java’s position as the ‘#1 enterprise language.'"
The Post-AI Org Chart - The people need to stop saying the quiet part out-loud about job loss. The focus should be on doing more with what you have, not doing the same with less people. But, hey, investors, amiright?! // “This configuration reduces headcount (1:7:49 -> 1:7:14) by 53%."
Open Source Has Too Many Parasocial Relationships - “If you want the software to get updated—to have bugs fixed and security vulnerabilities patched—you want something very different. What you want is an ongoing supply of software, not a copy of a specific software artifact.” // A good overview of updating OSS software versus a one-time download and continuous use. Paying for support is one way to get the actual “supply chain” benefits enterprises and auditors crave. // The next question is: is it the job or the people running the project to do this supply chain stuff?