>so despite the name it is probably best compared with the 8B/9B

It runs much faster than a standard 8B/9B model, the name is given by the fact that it uses per-layer embedding (PLE).

There is also: https://github.com/linto-ai/whisper-timestamped

It doesn't use an extra model (so it supports every language that works with Whisper out of the box and use less memory), it works by applying Dynamic Time Warping to cross-attention weights.

Just a warning that plain WhisperX is more accurate and Whisper-timestamped has many weird quirks.

I will copy the supermarket and paste it somewhere else.

I'm also going to download a car.

Because the internet is noisy and not up to date all recent LLMs are trained using Reinforcement Learning with Verifiable Rewards, if a model has learned the wrong signature of a function for example it would be apparent when executing the code.

These projects are the new "To-Do List" app.

I'm not from Pakistan but Karachi is the only vertical city in Pakistan, most people lives in apartment buildings, I would suggest looking at other cities like Lahore.

The problems are not visual but epistemic. If the author didn't specify enough to produce a useful chart, then it's going to be the diagram equivalent of stock images thrown on a finished presentation by a lazy intern. You can't rejection-sample away this kind of systemic fault.

The simple truth we're about to realize is there is no free lunch: a tool cannot inject more intent into a piece than its author put in. It might smooth out some blemishes or highlight some alternative choices, but it can't transform the input "make me a video game" into something greater than a statistical mix-mash of the concept. And traditional tools of automation give you a much better, more precise interface for intent than natural language, which allows these vagaries.

Yeah there are almost certainly times when it is gen ai and you just didn’t notice.

>It's clear how insane this culture war against trans people is when you consider this only applies to trans women and not trans men?

I believe the logic is based on the fact that male athletes are stronger than female athletes.

I was not expecting so many improvements in this version alone, I'm impressed. I was already using it for 3d printing but now it seems it's getting actually good, makes me wonder how I was able to use the previous version.

I am also impressed by how much they are improving things. It just sucks that they are stuck with the OpenCasacade kernel so making stability improvements are hard to make in areas like fillets and others.

I don't follow Open CASCADE very closely, but it looks like they're on the verge of a new major release (v8.0) themselves that looks like a lot of refactoring and cleanup.

I don't know hat version FreeCAD is actually bundling, but from GitHub it looks like a fork of 7.8.1?

Yes, the OpenCASCADE 8.0 release is very promising. There's a FOSDEM presentation from this year by one of their developers which shows what's in the works.

This is great to hear. I tried it a few years ago, and it was just so far behind onshape and fusion for usability from a beginner perspective.

This is single want to give it another chance

You can train a LLM on just multiplication and test it on ones it has never seen before, it's nothing particularly magical.

It's not 'magic' though but previously LLMs have performed very badly on longer multiplication, 'insight' is the wrong word but I'm saying maybe they're not wildly better at this calculation... maybe they are just optimising these well known jagged edges.