metalrain

No idea what is this about. Filled land with hay and still lost.

Visually it looks better than last generation, some materials and lighting, very good. But also there is lot of fuzziness, it's not good enough for TV ad. It doesn't beat the best video generation models, but being interactively steerable it could have more utility or mean you need less "takes" to get the right angle.

It must be due the training data. YouTube videos don't have the metadata of all the objects and where they are/were.

Kind of makes me think that autonomous vehicles will eventually gather better dataset (although limited to roads!), since they do have 360 degree cameras and lidar, so they can track objects before & after they are shown on certain view.

Even with locally runnable small "open" models you are relying on scraps of others. They are much worse at the LLM game and you don't know when they stop releasing the weights.

How can you go the opposite direction? Instead of using LLMs to produce more code, can you produce less, maybe higher abstraction code?

I think it's appreciation of the world and people to look and think, "some people did that". So many people working together globally to produce anything you see, sometimes over decades and many lives.

There is extraordinary in the ordinary.

In the story they spend months to build the MVP and people don't like it. This clearly is first point where they could "fail fast", but they believe they can improve and they do.

I guess I'm thinking where is the "fail fast" that is fast enough, but also not quitting too early?

Usually no.

And I have to say that no one tries to build a failed business. Founders can be really earnest about their intentions, work harder when they see the cracks, but often it just doesn't work, they don't find the right way before it's too late.

Maybe just before the end someone tries to siphon the funds into private account or assets into their next venture, but you tend to get caught doing so.

Only functional startups I've seen solve actual customer problem and don't try to solve all problems. Usually they have tried several things before they found one that actually is worth solving.

But everyone makes mistakes and bad deals in product development or they go out of business.

Isn't any camera with low enough angle good for license plate reading with additional software?

I noticed that gameplay speed depends on the window size. I'm assuming that larger canvas takes longer to render. It seems too fast at small window sizes and maybe too slow at 4K, not sure what is the intended speed.

I think it's more abstraction problem.

You could write more code, but you also could abstract code more if you know what/how/why.

This same idea abstracts to business, you can perform more service or you can try to provide more value with same amount of work.

That doesn't sound like ban, you have to disclosure yearly the amount of stock you have demolished, but there is no mention of penalty or anything like that.

This is a big deal and it's not just code.

Any decision maker can be cyberbullied/threatened/bribed into submission, LLMs can even try to create movements of real people to push the narrative. They can have unlimited time to produce content, send messages, really wear the target down.

Only defense is to have consensus decision making & deliberate process. Basically make it too difficult, expensive to affect all/majority decision makers.

Communities also evolve and devolve with time even without large external event. Maybe you don't feel the same belonging in the friend group after ten years or community grows to become something it wasn't in the beginning.

Maybe you have to accept that communities are here and now, but they can dissolve at any time.

I think it's the loss of control.

Even if you can achieve awesome things with LLMs you give up the control over tiny details, it's just faster to generate and regenerate until it fits the spec.

But you never quite know how long it takes or how much you have to shave that square peg.