staticautomatic

So what? The average joe shouldn't be trying to diagnose people with cancer.

My recollection from law school is that force majeure is more like a specific subset of "impossibility of performance", which is to say it's not generally the same as "something outside a company's control."

I think scale is less important than other considerations. For me the biggest motivator is when the use case prefers doing something exactly-once, the downside risk of failure is high, and robust failure handling is moderately complex. The canonical example I use is healthcare communications; others use payment/fulfillment.

Also having a unified control plane is handy even at a pretty small scale if your alternative is going full “cloud native” on hyperscaler microservices. The ability to see what’s happening when and where across a single workflow run is a dream compared to all the traditional logging approaches I’ve seen.

Yes, the Gemini that might be “even behind the Chinese models” but is uniquely capable of “watching” video.

All except Gemini which can be rather important depending on your use case.

Do you remember how bad documentation was? I still have nightmares about Twisted.

They’re asset millionaires and maybe gross revenue millionaires, but not typically net income millionaires.

Similar here. Lots of places where we replaced Pandas with DuckDB for transformations. Also have scriptable custom dashboards running on top of BigQuery data pre-aggregated and extracted to parquet on GCS. It's way faster and the only limiting factor is your viz library. It was pretty easy to build and the only big gotcha I encountered was finding, somewhat counter-intuitively, that it's often best minimize partitioning.

Depends on your definition of "customer."

The real biggest unlock is not using unlock as a noun.

How does a $25B offering have $85B in orders?

Yep. I sure do.

You can’t interview effectively by limiting yourself to questions where the applicant knows what you want them to say.

If you're going to have people use AI regularly, it's worth asking so that you can get a sense of their interest/willingness, experience level, and training needs. That said, more specific questions are typically more revealing. Personally I'm fond of "If you could give Claude only 1 instruction, what would it be?"

In what way is “How are you using AI?” an objectively bad question?