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I bet they’ll follow the sports media and, my personal taste in sports media, has recently started to migrate (e.g., Defector editors and contributors).

In my experience, the change has been positive. I rarely see feuds on Bluesky and when they happen I find them especially embarrassing because it’s so unusual.

I stopped posting on Twitter around the acquisition but kept my account. When I do randomly check my timeline I’m genuinely disturbed by the disinformation and pseudo-science, especially in machine learning.

You’re not drafted and languish on a practice squad.

I don’t follow. We have benchmarks that have survived decades and illustrate the steps.

What’s the problem using it as a switch statement if you care about typographic issues? I do this so I’d like to know if I missed something and this is a bad practice.

There’s no evidence that it’ll scale like that. Progress in AI has always been a step function.

I agree that “learning CUDA wasn’t particularly difficult to get started,” there are Grand Canyon sized chasms between CUDA and its alternatives when attempting to crank performance.

Look at the state of PyTorch’s CI pipelines and you’ll immediately see that ROCm is a nightmare. Especially nowadays when TPU and MPS, while missing features, rarely create cascading failures throughout the stack.

My bad if I misunderstood. I assumed by your use of “it” and approximation methods.

You’re making the assumption that there’s one, and only one, objective summarization, this is entirely different than “writing things down.”

I’m confused, you wrote “model,” but then specified “system.” I assume you mean “system” because the tools are not being back-propagated?

Well said

It’s always been this way with LLMs.

Reading? Great! Viewing? Great! Training? Not great.

I don’t think that’s the case. You’re talking about a genre where vinyl and rotary mixers are a standard part of the discourse. While I think your premise is correct, the genre is quicker to adopt advancements, they are also quicker to acknowledge when something goes too far.

Rick Beato is fine but he’s entirely disconnected from contemporary guitar-based music. I agree entirely with the OP, the quality-expense ratio has never been better for this type of music.

My point is that the OP named someone that wrote or co-wrote nearly every song she’s recorded undermining there entire argument.

Who wrote the last 12 Taylor Swift hits?

You don’t empathize with the humane opinion “why bother?” I like to program so it resonates. I’m fortunate to enjoy my work so why would I want to stop doing what I enjoy?

Sure, but Modular’s mission was to provide abstractions to minimize these types of optimizations.

Is this sarcasm? If not, the proposed posit standard, IEEE P3109.

Great idea and I’m shocked this doesn’t exist.

It’d be tricky to avoid inadvertently leaking in the prompt since many discoveries seem obvious in retrospect.

For _ordinary_ two‑valued classical propositional logic, e.g., YAML, they are congruent.

This is worse than the mansplaining scene from Annie Hall.

Latency?

I’m excited to take a look. I like and usually recommend Daniel Velleman’s “Proof Designer” but I’ve heard from some it’s too obtuse for beginners.

Try Z3

I’m confident that there’s no magic and I’ve spent years understanding “what the weights do.” You’re describing weights as magic and they are not.

Somehow I feel neither!