The term “work slop”—a workplace-specific hyponym of “AI slop”—has entered the lexicon. It communicates both frustration and judgment: frustration with a colleague’s output, judgment of how they produced it.

I can empathize with the frustration, especially when someone else’s AI-generated draft creates cleanup work for you. But the judgment is counterproductive. AI-assisted tools are here to stay, whether as new AI-native products or as features quietly embedded in tools we’ve used for years.

Consider that what looks like “work slop” is often a natural artifact of people calibrating. They’re learning where AI accelerates their work and where it undermines it, where it handles nuance and where it flattens it. That calibration takes reps, and some of those reps will miss the mark.

Don’t shame it—use it as a discussion starter. What worked? What fell flat? Build a culture where people can share AI techniques openly and refine their approaches together. The alternative—people hiding their AI use or abandoning it entirely out of social pressure—leaves value on the table and learning underground.

Not only did it write the training script, but it submitted the jobs to cloud GPUs, monitored progress, and pushed finished models to the Hugging Face Hub. They leveraged “Skills” to make it happen. Read more…

Love this from YouTube. Cool to see more products release some form of “dear algo” feature.

I didn’t see this one coming. I think the key sentence from the announcement is this:

As an all-in-one toolkit—combining runtime, package manager, bundler, and test runner—it’s become essential infrastructure for AI-led software engineering, helping developers build and test applications at unprecedented velocity.

Rust has become my favorite language to build in with Claude Code, and the reason why is because the superb toolchain creates a tight feedback loop for agentic iteration.

Typescript/Javascript’s toolchain has always been an absolute nightmare and Bun was created, in part, to address that. A tight feedback loop means Claude Code arrives at solutions faster with fewer tokens burned. Strategically, if Anthropic can more tightly integrate Bun into their products, it means improved user experience and reduced variable costs.

Screen understanding + coding + reasoning… will Gemini 3 Pro be the backbone of some new UI coding tools?