It's indicative of how little Microsoft cares in addition to the issue of plagiarism. Which shouldn't be a surprise to anyone who's had to read Microsoft documentation recently.
I'd argue that "assumptions", i.e. the statistical models it uses to predict text, is basically what makes LLMs useful. The problem here is that its assumptions are naive. It only takes the distance into account, as that's what usually determines the correct response to such a question.
I think that’s still anthropomorphization. The point I’m making is that these things aren’t “assumptions” as we characterize them, not from the model’s perspective. We use assumptions as an analogy but the analogy becomes leaky when we get to the edges (like this situation).
It is not anthropomorphism. It is literally a prediction model and saying that a model "assumes" something is common parlance. This isn't new to neural models, this is a general way that we discuss all sorts of models from physical to conceptual.
And in the case of an LLM, walking a noncommutative path down a probabilistic knowledge manifold, it's incorrect to oversimplify the model's capabilities as simply parroting a training dataset. It has an internal world model and is capable of simulation.
Yes, in minikv, I set up GitHub Actions for automated CI.
Every push or PR triggers tests, lint, and various integration checks — with a typical runtime of 20–60 seconds for the core suite (thanks to Rust’s speed and caching).
This means that after a commit, I get feedback almost instantly: if a job fails, I see the logs and errors within half a minute, and if there’s a fix needed, I can push a change right away.
Rapid CI is essential for catching bugs early, allowing fast iteration and a healthy contribution workflow.
I sometimes use small, continuous commits (“commit, push, fix, repeat”) during intense development or when onboarding new features, and the fast CI loop helps maintain momentum and confidence in code quality.
If you’re curious about the setup, it’s all described in LEARNING.md and visible in the repo’s .github/workflows/ scripts!
They've used a vision transformer to estimate building heights from monocular aerial photographs, so they're guesses at best. Calling this a map is a stretch.
Comparing Nazi Germany and the PRC in any way is certainly an interesting choice, considering they're the one major power in the world that actually doesn't have a recent history of invading sovereign nations.
Yeah they do. Even right now they're trying to take territory from the Philippines.
China just has a history of denying what they're doing as they're doing it.
There are so many examples online. My favourite is of a Chinese warship ramming into its own coast guard vessel as they fail to intimidate the Philippines Coast Guard.
What it means is that in the future Europe will have to consider a Trumpist USA to be like a 21st Century version of a totalitarian Eastern Bloc or Soviet country: Orbanism, absurd projectionism, dangerous allies, the state demanding a share of businesses and directing sales and mergers, openly describing the EU (and now the UK) as not friends or even as enemies, trumped up prosecutions of political enemies, assuming that foreign surveillance is built into its products, etc.
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