celltalk

Super nice, thank you for this post! Based on this I've updated the vocabulary learning scheduling in DuoBook (https://duobook.co) to FSRS based. We should be up to date with the science based learning :)

Can you reach out to us through the contact form? Maybe we can setup a 10-min call, because we’ve implemented a pro tier.

You can change the settings for showing the translation and auto-play.

You've made my day. I will have a look at this!

Wow great to hear! There is translation for only some words not all though. We’ll try to make language alignment happen.

How much would you be willing to pay for it for a monthly subscription?

We were thinking about a pricing page with few pro options. For instance, longer text generation, access to better LLMs, or much better TTS etc.

I totally disagree. We know AI can code well, still Cursor and Windsurf worth billions of dollars, because it works.

Thank you both. Great that you like it! :)

Exactly, that's what more or less the aim was. We will try to make the word by word following happen.

We have included the latest stories generated by the community, so there is more content to discover on the app. We can have a look at the voting & sharing features etc. later.

There is a progress and practice page for users, maybe we should emphasize this better in the main page?

Thank you! We will have a look at it, but TTS right now is browser based. I think it would be cool to have better TTS (OpenAI or Google) for a new paid tier.

Sorry to hear that. Do you think we should exclude it then? I think highlighting the word is second most requested feature so far. Thank you for the feedback!

Thank you for also trying the practice mode! Super useful feedback. I will add them to the TO-DO list.

Hahaha I know it sounds fake but it is actually true.

https://imgur.com/a/nTbBgdJ

I know it’s a friction, but we were (maybe still are) a bit paranoid of abuse or bot attacks, as we are using a paid api to roll this thing. One suggestion others gave was to show stories generated by other users, I think that might work. What do you think?

Thank you! That’s a great suggestion maybe we can show the latest generated stories by other users.

Sad to hear. We will think about a solution for this. But, honestly I don’t know anyone who knows Vietnamese, so it would be such a useful feedback. That’s what the internet is for… grilling random people on the internet :)

If you go down on the main page, you will see an example of Spanish to English.

And, we don’t have language alignment yet. Still, it highlights some of the “hard” words.

Please do! Let us know :)

My best friend and I had been trying to learn Dutch for a while. About a month ago, we picked up some Donald Duck books in Dutch, thinking they'd be fun and simple to start with. But soon enough, we found ourselves constantly switching between the book and our phones, struggling to follow the story—definitely not the immersive experience we had hoped for...

That’s when I remembered those books with one language on one page and the translation on the opposite page. Inspired by that concept, I thought, why not use AI to create something similar, but even more interactive?

So, we built DuoBook.

Here's how it works:

1) Start writing your story in your language.

2) Select the language you want to learn.

3) AI helps complete the story, side-by-side with your native language.

It’s still early days, and it might not be perfect, but it's genuinely helping us—and we hope it helps you too!

Check it out: duobook.co

One of my doctoral propositions is, dialog leads to true artificial intelligence.

I was actually revoking my hobby site for backtesting and casually developing it these days (indicatorinsights.co). Just saw this, very interesting work!

I was bored at home and wanted to play with new Claude and decided to wrangle and analyze the EuroJackpot data a little bit. Not much explanations, it is mostly graphs and tables at this point, but PRs are always welcome! :)

Edit: Wrong url.

https://eonurk.github.io/EuroJackpot/index.html

You're right about the random search however the domains that the model is doing the search is quite different. In AlphaGo, you do MCTS in all possible moves in GO, therefore it is a domain specific search. Here, you're doing the search in language whereas you would like to do the search possibly on genetics or molecular data (RNA-seq, ATAC-seq etc.). For instance, yesterday Arcinstitute published Evo2, where you can actually check a given mutation would be pathogenic or not. So, starting from genetics data (among thousands of variants) you might be able to say this variant might be pathogenic for the patient given its high variant allele frequency.

On top of that you are looking at the results in cell-lines which might not reflect the true nature of what would happen in-vivo (a mouse model or a human).

So, there is domain specific knowledge, which one would like to take into account for decision-making. For me, I would trust a Molecular Tumor Board with hematologists, clinicians - and possibly computational biologists :) - over a language random tree search for treating my acute myeloid leukemia, but this is a personal choice.

Thanks :)

I do hallucinate a better future as well.

Sure. There are studies like BEAT-AML which tests selected drugs’ responses on primary AML material. So, not on a cell-line but on true patient data. Combining this information with molecular measurements, you can actually say something about which drugs would be useful for a subset of the patients.

However, this is still not how you treat a patient. There are standard practices in the clinic. Usually the first line treatment is induction chemo with hypomethylating agents (except elderly who might not be eligible for such a treatment). Otherwise the options are still very limited, the “best” drug in the field so far is a drug called Venetoclax, but more things are coming up such as immuno-therapy etc. It’s a very complex domain, so drug repurposing on an AML cell line is not a wow moment for me.

“Drug repurposing for AML” lol

As a person who is literally doing his PhD on AML by implementing molecular subtyping, and ex-vivo drug predictions. I find this super random.

I would truly suggest our pipeline instead of random drug repurposing :)

https://celvox.co/solutions/seAMLess

edit: Btw we’re looking for ways to fund/commercialize our pipeline. You could contact us through the site if you’re interested!

This is library of Alexendria but in digital format. Amazing work!