milansuk

Higher volume legal actions can only be successful as "peer-to-peer". If it goes through a courtroom, there is no way they can handle this kind of volume(even with AI tools). Imagine that the CEO is informed there are 20 new legal actions and the first court hearing will start 10-20 years from now when the CEO will not be part of the company anymore.

True. The only solution is to keep your data outside cloud(aka someone else's computer) no matter what encryption you use.

> But file syncing is a “dumb” protocol. You can’t “hook” into sync events, or update notifications, or conflict resolution. There isn’t much API; you just save files and they get synced. In case of conflict, best case, you get two files. Worst — you get only one :)

Sync services haven't evolved much. I guess, a service that would provide lower APIs and different data structures (CRDTs, etc.) would be a hacker's dream. Also, E2EE would be nice.

And if they closed the shop, I would have all the files on my devices.

This looks cool for v1! The only problem I see is most devices don't have much RAM, so local models are small and most requests will go to the servers.

Apple could use it to sell more devices - every new generation can have more RAM = more privacy. People will have real reason to buy a new phone more often.

I don't see any explanation for why they trained 8B instead of 7B. I thought that If you have a 16GB GPU, you can put 14GB(7B*16bits) model into it, but how does it fit If the model is exactly 16GB?

The progress is insane. A few days ago I started being very impressed with LLM coding skills. I wanted Golang code, instead of Python, which you can see in many demos. The prompt was:

Write a Golang func, which accepts the path into a .gpx file and outputs a JSON string with points(x=tolal distance in km, y=elevation). Don't use any library.

This is an implementation of a transformer and in README it's presented as text->text. Tokens are just integers going in and out.

Is it possible to use it to train other types of LLMs(text->image, image->text, speech->text, etc.)?

You can run Gemma and hundreds of other models(many fine-tuned) in llama.cpp. It's easy to swap to a different model.

It's important there are companies publishing models(running locally). If some stop and others are born, it's ok. The worst thing that could happen is having AI only in the cloud.

Agree. Spinning out the FSD and Optimus teams wouldn't accelerate progress on the new models. Also, they will make more money from humanoids than car robots.

Yeah, they probably don't want their 'demo' links on the HN home page.

> Believe it or not ...

I believe and agree with most of you wrote ;)

The main problem with HTML/CSS/JS is programmers want more than these languages offer. With WASM you can pick up language(must compile to .wasm) that fits your use case best. This is the freedom most programmers want.

There will always be programmers who will draw their custom buttons(instead of modifying DOM from WASM) and ignore accessibility. They can do this with JS as well, but most of them don't.

Nice project! I love WASM. It's designed to be sandboxed and portable from day one. I wish WASM was invented instead of Javascript in the 90s. WASM will eat the world.

What I hope most is endurance. There are many programs that we are not able to run anymore. The best examples are probably older games. I hope WASM will change that, although I'm a little bit nervous about adding new features, because simple specs have a higher chance of surviving, but the future of binaries looks exciting.