Kabukks

Could you elaborate on the progress that has been made? To me, it seems only small/incremental changes are made between models with all of them still hallucinating. I can see no clear steps towards AGI.

I suspect instructing the model to respond with "I don't know" more readily will result in more of those responses even though there are other options that seem viable according to the training data / model.

Remember, LLMs are just statistical sentence completion machines. So telling it what to respond with will increase the likelihood of that happening, even if there are other options that are viable.

But since you can't blindly trust LLM output anyway, I guess increasing "I don't know" responses is a good way of reducing incorrect responses (which will still happen frequently enough) at the cost of missing some correct ones.

Last time I tried Elevenlabs for German text, it got a lot of numbers and dates wrong.

E. g. saying "1963" when the actual year in the text was 1967. Yeah, the voices sound very realistic. But I'm not sure how useful that is if you can't trust the spoken words.

Does anyone know if it got better in the last weeks?

I'm currently building an open source CMS in Golang. Meaning fully implemented backend and frontend + support for custom themes in the frontend and custom collections/items in the backend.

Now, there is a lot of CMS software out there. Some of the better ones are paid products.

What I'm hoping to eventually accomplish is easy local creation of a website (content and themes) and after that easy one click deployment to a cheap hosting provider. Alternatively just copying a local folder to your own vps/server with the CMS should be enough.

My dream outcome would be a CMS that is a one-stop solution for most types of websites (blogs, company sites, shops, ...). To hopefully contribute to making people stop using facebook, twitter, other centralized and eventually login seeking services for hosting content people would like to read.

For this, a free/cheap one click hosting solution after locally creating and previewing a site would be necessary.

PHP is still pretty widely used here because cheap web hosting package support that. I like PHP, but for open source projects I prefer Go because of the maintainability and fun of writing it.

Sorry, but that doesn't work in real world applications. Multiple requests are fired simultaneously all the time. E. g. browsers starting with multiple tabs, smartphone apps starting and firing multiple requests etc.

I've heard that CRDT needs to be the source of truth for certain features to work (handling users going online/offline?). I was never quite sure why it would not work to just create a new CRDT document from another source of truth (markdown, database, ...) when starting an editing session. Maybe someone else can explain.

I'm using your service (found it on HN too) for a side project and I'm very happy with it. Good job!

One nitpick: I'm seeing occasional timeouts (probably because the residential endpoint went down recently). Do you have a best practice on how to work around that?

I wouldn't think we are at the bottom yet. But no one knows.

I've looked at the compute module. It is positioned as the way to go for mass production - but the price point seems higher than the Rpi as you still need a base board for it to function.

I'm currently prototyping a product using the Raspberry Pi + GPIO. I've often wondered - if the thing makes it to market - how I would substitute the Rpi in mass production (1000+). The SD card is a big point of failure for many Rpi users for example. So storage is probably something I would change.

Does anyone have experience with a mass produced product that used the Rpi in prototypes?

I know element14 is offering Raspberry Pi customization for mass production.

Looks great. I'd love to use it. How is the GPIO/PWM support?

I love Turkish Airlines for the food.

They used to hand out Turkish Delight after take off. They didn't the last time I've flown with them though (October 2016, economy). Did they stop doing that altogether?

I feel the same. Maybe we should pool some money to train it on AWS. Is there a community where Machine Learning hobbyists can pool money to train models that are open sourced afterwards?