Coté

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."

Marriott checks out AI agents amid technology transformation

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?


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