It's pretty interesting to see people still parroting talking points from ~2023 when there is plenty of data to the contrary.

If you're looking for a more impressive doom example, I put together laya-duum which uses open source micropython implementation of doom (duum) and freeware freedoom1.wad. It uses the standard jev api and will play through the first two levels to completion: https://github.com/Hadlock/laya-duum

Why is this more impressive?

It's not just shooting at static monsters in an empty room, this will go after monsters, make decisions about prioritizing health, changing goals, and finish the level, etc. It's not unique, it's just more impressive than the demo they're using.

Their demo could also change goals, e.g. avoid monsters instead of shooting them, by changing some variable. I'm sure that could also be used to change goals.

But it doesn’t. That is why that other person is claiming their demo is more impressive.

What you are saying is like me losing 13kg is as impressive as having the potential to do so if only I would stop eating ice cream and too many snacks every day.

- Laya receives semantic snapshots, not the framebuffer.

What does tjis mean? Another generative model?

Laya is the model this uses. Like Jev, it's blind - it can't take an image as an input. So how can it play Doom, or Atari games, or do other visual tasks, as people have shown it to do? They write a bit of app-specific adapter code that transforms the game state into a structured piece of data (here, the "semantic snapshot"). And that is what these models take as input

laya sucks. it's a dead end and for some treat it as a peer of jev or even the qwen jevs. base model doesnt have enough world knowledge to generalize.

btw your comment was immediately marked as flagged/dead. Odd for a high quality comment. I vouched for it.

My main point of disagreement would be that I fundamentally see a different use for a jev sort of model (generalism is applealing), but if you're finetuning, a bert base is not bad.

Thanks for the vouching. I don't really understand what I did to anger the algorithms! But yeah, I think that that's the real sticking point. If the value prop of jev is "plug it in anywhere and it generally does smart things" you're absolutely right that Laya is Not A Thing. I've spent a bunch of time working on fine tuning models (i teach a class on it! https://earino.github.io/applied-deep-learning/ using the same ModernBERT stuff!) and so for me, I naturally went: "wait a second, so how good is Jev compared to fixing the problem domain."

Anyways, thanks for the vouching!

Great course, thanks for sharing, going through your slides and papers right now.

My guess is, it's because you sounded like an LLM in a few phrases there.

I think that's a pretty good guess. I move around different countries a lot so I also assume I can look like a bot farm from multiple source IPs.

However at this point I talk to LLMs more than anyone except probably my wife. As a multiple times immigrant, I can absolutely believe I'm adjusting my speech patterns to its vernacular.

That isn't why he did it, it was not "to balance the budget". It was to make up for the panic after Putin invaded Ukraine. US gasoline prices soared, going up to $4.84 per gallon in June 2022. Releasing the oil caused it to drop. It wasn't given away, it was sold. The reserve was on the way back up in 2024, through when Biden left office. Furthermore, the government turned a large profit: they sold oil when it soared in price, and bought it back at a lower price.

Hopefully, it hits effective zero, and people start buying EVs.

As a bonus, maybe the military will stop wasting gasoline to murder civilians, since we’ve already established they value oil over absolutely everything else, including human life.

I get your point and it's clear that sticks seem to be more effective than carrots, but our supply chains are not electrified and that will take time, in the meantime this pain will propagate widely.

True, but oil is a mostly inelastic commodity (consumers can’t really respond to price changes quickly, and neither can producers).

So, if passenger demand halved overnight, prices for long-haul transport would implode. Even with the straits closed, tanks in the supply line would start to hit capacity, and spot prices could even go negative again.

EVs are just as toxic due to mining techniques used at the moment, and with no effective way to recycle batteries even if they last longer than expected they aren't really a way forward completely, and baseload electricity still relies on oil and natural gas since most countries have for some reason pushed away from Nuclear as a long term non-renewable (it IS technically not renewable).

Xiaomi already showed that you can train a better-than-Sonnet level model in 8 days for about $850,000. Anthropic really could release a new sonnet version every week if that played to their marketing strategy, but nobody cares about sonnet so it gets released on slow news days to fill space.

S3 cost growth is so gradual most businesses will just absorb the cost. We have some physical backups, but everyone is more than happy to not be shuffling around physical hard drives, and pay Amazon to deal with that and securely store it.

I finally stopped using (S)FTP when i realized that all the ftp clients now have native support for S3. It turns out if you have a business partner who wants to use sftp, 99.9% of the time of they upgrade their client, the upgrade has S3 support, and then you can just use modern tooling on your side. And when they finally automate, they can also use modern tooling.

DDEX choreography, which is used to distribute musical recordings and other assets within the music industry to sites like Spotify followed this same evolution.

The standards say SFTP. Most everyone ignores that part and have been using S3 buckets by bilateral consensus instead for years.

Had the same experience with trying to use the built-in SFTP support in Azure Storage accounts.

It turned out that all of our peers supported blob storage better than SFTP, which has some “show stopper” problems like forced outages caused by mandatory host key rotations.

I recall having access to an Apple II in first grade to play Oregon Trail, and later the full color Macintosh LC II with a mouse in 2nd grade. I think besides using a word processor once a week in computer lab, and typing class in middle school, there was little to no value in computers in school. I was a heavy user of Encarta in the library during rainy day recess. Giving every kid a laptop or tablet seems like a financial hand out to whatever company is selling them.

>they're trying to create that "System One" narrative

I think you answered your own question. Executives are going to ask two questions, 1) how is this different/why does it matter and 2) how will i use it to make money?

Leya came to market more than a year before Jev, and failed because nobody understood how to use it, and he was unable to market it properly. Jev used this strategy and did not fail.

I've run into hitting limits on the personal plan perhaps twice since the beginning of the year. But also I don't use the personal plan for coding tasks between 7am-noon M-F.

Frontier model labs release some kind of update every 6 weeks on average.