HN user

Broge

90 karma
Posts2
Comments22
View on HN

For me probably filters that are actually useful e.g. Top free apps with no ads

Whats annoying is that Google play has all the data to let you do this but they don't let you filter by if it contains ads or not.

Transformers.js 3 years ago

Looking at the code it seems like it's only running using simd so far. I think the creator said something about the WebGL models being inaccurate when quantized or something.

Transformers.js 3 years ago

Yes I love being able to run ML models without dealing with Python package management!

Regarding the training data, thanks so much! We're definitely gonna be looking into improving and specializing it so it's less... whatever we could come up with at 2AM in the morning.

Now I guess is my time to learn. Why do you think grammarly and gmail help flow? If anything, those red lines make me lose my train of thought.

And finally, regarding DFS, seems like you're right! Fixed!

Once we release for writers, we're planning to tighten up the positioning and make the UX a bit more intuitive.

Hey! For the waitlist, cross my fingers, we'll have something in a week or so. Worst case, it'll be within the next month.

If you're fine with the current capabilities, the text is stored in your browser's localstorage, so you should be able to use it.

Regarding the voice, there's no technical barriers, only implementation. It's definitely something we're considering, but please let us know in the waitlist! https://forms.gle/SmrnBgfygCLPXrFK8

Thanks for the kind words!

The unlimited part comes from the AI knowing just enough context to stay coherent in any situation. Current long-form text techniques usually just summarize the past n tokens, and maybe the previous summary as well. The problem with this is that it quickly loses specifics of anything that happened just outside the window.

What Jotte's graph-based approach does is have weighted summaries, allowing the important information to stay in there much longer.

Definitely agree that the interface is still pretty rough, but we wanted to just get public reception on this sort of thing. We've done some testing on hyrid dev/writers, but it needs a more rigid structure before we even try to test this on pure writers.

Yeah I feel like for development, OBM is great and super flexible.

But when you actually want to deploy, a lot of tiny, more efficient models would probably be the best bet.

I read somewhere that the a company ended up fine-tuning FLAN-T5 instead of going GPT-3, which I can imagine saved them lots of $$.