I write with my left too but using right handed peripherals feels natural. I also use my phone right handed.

Over the years, I (and I imagine many others) switched over to WASD to play newer games with mouse + keyboard, but this meant using the left hand for "arrow keys"

Now I can directly compare how proficient I am with WASD vs Arrow Keys and the result surprised me. I was way worse with arrow keys (right hand) even though back when WASD was becoming a thing I'd rebind WASD to arrow keys because it felt too weird! I would've never imagined back then that WASD could ever feel as natural as arrow keys.

Makes me wonder how much of handedness is truly innate vs learned.

I read it twice (admittedly quickly) but couldn't grasp the point even though I felt like it was there.

So I guess while "realism" (or believability) is really good now, prompt adherence has much room for improvement.

(though put it another way, realism has always been "solved" if the model gets to output whatever it wants as long as it looks realistic, though now it looks less like a malfunction and more like an inattentive human mistake or oversight, so even when it gets it wrong it's hard to tell it's wrong without knowing what the prompt was)

If you asked me what I expected, since this one has "thinking", it'd be that it would've thought to do something like generate the image without Waldo first, then insert Waldo somewhere into that image as an "edit"

I've been using server-based (online, upload required) tools for this sort of stuff, but am now going to be using this.

Pretty cool find considering I have no need for a full-fledged video editor right now, and was just checking this out for fun.

Consistency? So it fails less often?

Based on the released images, (especially the one "screenshot" of the Mac desktop) I feel like the best images from this model are so visually flawless that the only way to tell they're fake is by reasoning about the content of the image itself (ex. "Apple never made a red iPhone 15, so this image is probably fake" or "Costco prices never end in .96 so this image is probably fake")

But I can see the more deterministic nature of the current offering being a plus too since there's no worry about the agent doing things you didn't "approve" or in the "wrong way"

If I understand correctly, is this not as useful for frameworkless html/css/js development? Since when you make edits using browser-built-in-devtools it can and does modify the actual css files (in-memory, of course) which you can use to copy-replace with entirely (assuming no build/bundling step aswell).

If so and this allows you to use any framework and still have that kind of workflow, that's fantastic. Half the reason I don't like using frameworks is because I lose the built-in WYSIWYG editor functionality. Guess I'd still lose the usefulness of the built-in js debugger, tho :(

But

>Raw parameter counts stopped increasing almost 5 years ago

Really? 5 years ago? Until just about 3 years ago OpenAI's latest offering was only ChatGPT 3.5

Most of the models people talk about now didn't even exist 3 years ago let alone 5.

Even now, I don't know if parameter count stopped mattering or just matters less

For example, I have no idea if the new Mythos is MoE but I'm pretty sure it's more parameters.

Ultimately, I would like these features to come to Youtube itself since there's a lot of nice features built into it that would be hard for a third-party to replicate without permission (such as playing videos inline on hover, with captions).

Even native apps that were built with cross-platform frameworks feel a bit "off" sometimes.

It seems Youtube also removed "sort by upload date" if I'm not mistaken. The closest we can get now is the "uploaded today" filter but it's not the same since it still seems to prioritize popularity over recency, surfacing mostly second-hand sources or popular "reactions" to the primary-source videos (that also exist on Youtube!) I'm actually looking for.

Edit: IIRC they even used to have an "uploaded in last hour" filter, but I'm not sure. Can anyone confirm this?

If it's an opaqueness restriction with the API or something, I'd like to suggest letting us at least combine the provided ones, so I could do something like (4-20) && (> 20) to get "over 4 minutes" which doesn't exist on Youtube but seems pretty useful.

Another thing that would be useful is filter-by-channel since the search function within Youtube for searching a channel's uploads (using the search button on a channel's page) is a significantly nerfed version of their usual search function.

The blog post does touch upon this. The key difference, I believe, would be that compute scales in a way "meat-heads" doesn't, where if the other person has 100x the capital to throw at it, they could do the same 10 hour thing in 10 minutes.

Basically, what I got from it was that innovation has never been truly scalable enough to create the "dark forest", since hiring more and more engineers saturates quickly. But if/when innovation does become scalable (or crosses some scalability threshold) via AI, that could trigger a "dark forest" scenario.

This is such a funny and novel way of saying "old people in Austin are dying" I just had to point it out.

Also, I like the way this comment is written in general. Felt easy to read for its length, and most importantly the tone stayed fun and personal while still being informative and on topic.