> While the downside of OT is p2p, the one up side is that you get GIT like history that is super valuable for us especially if we want to build a CDC system.
How trivial would it be, to implement a CDC system from a CRDT. Does anyone know any github repos or any documentation I could refer to? Thanks
Supabase Auth is only authentication; it doesn't do organizations, permissions/RBAC, impersonation, etc. We are working on some fancy Postgres connectors to let you use Stack Auth with the DB part of Supabase and RLS.
GoTrue and Permify are on a lower abstraction level than us; we connect the entire stack (from frontend to database), while GoTrue and Permify still require a lot of setup and manual integrations.
One use case this would immediately solve for me. Is travel.
When I travel I'm usually in an airbnb, hotel room or temporary rented apartment for months at a time.
Usually I may not even have a desk or a tiny one in the corner.
Having the ability to increase my area of productivity via this device from a 14"/16" laptop. Intrigues me quite a bit.
However, the current weight factor and fov (rumoured 100deg) puts me off right now.
Should apple do something similar (or another competitor) like the big screen beyond and 210 deg (starvr) with a much later iteration. The value proposition for me would make it an instant purchase.
I'm more than happy to sit this round out. But the new product segment is something that I and probably many people are interested in. I know Apple will innovate and more importantly push the whole industry forward. I'm watching and waiting with interest!
I agree. Granted it's out of my price range for the time being, but a device to make a plane more bearable while giving me a screen that doesn't require craning my neck on the other side would be a huge deal.
Even for travel, most people travel in groups, even those who live alone or with non-friends. So, media consumption while traveling is even less likely to be happening alone (except on the plane) than at home.
I'm not saying your own use-case is invalid. But it doesn't sound like a good strategy for Apple.
But there is a lot of business travel where people are flying just for a day or two for sales meetings etc. And given they power frequent flyer programs clearly there are a lot of them.
Having done many such flights I would much rather a Vision Pro than a cheap LCD hotel room TV.
It's not on the roadmap for the next 6 months. But priorities can change depending upon the demand. One thing to note is that BlazingMQ client libraries are very stateful, and implementing a batteries included library is a non-trivial effort.
From what I understand Blitz is their own implementation of tRPC, their own Auth system, Prisma and Typescript support. Blitz is also more of a toolkit that wraps around NextJS currently, but later on Remix, Svelte and Vue.
In future (probably in '23 and post 1.0) some things that may be coming are:
- backend functionality ala NestJS
- form component library
- permissions (rbac) library
- file upload library
- and a bunch of other stuff I'm forgetting right now.
I suspect this is coming. I mean we do have decent text to speech systems already, but in this vein of “we used neural networks and now it’s very very good” you can imagine that with something like GPT-3, to extend it they could use this speech to text system so you could speak to it for input, and then a natural progression is that it can use text to speech to return the output, so you just have a voice oriented conversational system.
So I think TTS is a logical part of the system. I also think that there are peculiarities of voice interaction that aren’t captured in text training datasets, so they would need to do some fine tuning on actual voice conversation to make it feel natural.
A full NLP system would include speech recognition, TTS, a large language model, and a vector search engine. The LM should be multi modal, multi language and multi task, "multi-multi-model" for short haha. I'm wondering when we'll have this stack as default on all OSes. We want to be able to search, transcribe, generate speech, run NLP tasks on the language model and integrate with external APIs by intent detection.
On the search part there are lots of vector search companies - Weaviate, Deepset Haystack, Milvus, Pinecone, Vespa, Vald, GSI and Qdrant. But it has not become generally deployed on most systems, people are just finding out about the new search system. Large language models are still difficult to run locally. And all these models would require plenty of RAM and GPU. So the entry barrier is still high.
Ah very interesting thank you. I’m not familiar with research in to vector search, I’ll look that up.
But yeah you make a good point about LLMs being too large to run on a normal PC. I do somewhat suspect that we might see some rapid acceleration in the size of neural network processors as large models begin to offer more utility. I think for now they have limited appeal but we’re already seeing things like Tesla’s Dojo make large leaps in capability to rapidly process complex networks.
In five to ten years we may see built in accelerators come standard in most computers capable of running very complex models. Already Apple provides ever more powerful accelerators in their phones. You could imagine Adobe offering real time diffusion models as part of Photoshop, among other things.
Likewise, TTS is what I really want. My goal is to be able to create audio books from text. I've been using Amazon Polly and it's acceptable quality, but I would be ecstatic to be able to do it locally on my own hardware.
Check out NaturalReader. It has hundreds of amazing voices, a system for highlighting text as it is being read, works on books (pdf) and webpages, and is available on phones and in browsers on all platforms. So I could have the same voice on Mac, Linux and iPhone.
> This year we've got a lot of exciting innovations in store for you, like CEF and SERVO based webviews...
From their discord.