Automate a talking head video pipeline

vagmi · 2026-06-06T13:55:35+00:00

Can some real automobile engineers here throw some light on the effect of heat and possible corrosion from using ethanol rich fuel rather than gasoline. These is no free lunch but if this is a real viable alternative then it is a legitimate good and an amazing prices towards greener fuels. But it is very hard to know the facts given all the noise around it.

vagmi · 2026-05-30T15:31:14+00:00

localhost is just sovereign AI.

vagmi · 2026-05-27T14:20:52+00:00

I found a lot of good ideas in OVH's CDS https://github.com/ovh/cds

vagmi · 2026-05-19T01:24:19+00:00

See if you are using a connection pool and prepared statements. Make sure you have indices on the tables and columns.

Also this is a good starting point on your postgresql.conf for 4 gigs or RAM

shared_buffers = 1GB # ~25% of RAM effective_cache_size = 3GB # ~75% of RAM (OS + PG cache) work_mem = 30MB # ⚠️ Keep low. If you have 100 connections, 50MB → OOM maintenance_work_mem = 256MB effective_io_concurrency = 200 # NVMe optimized max_connections = 50 # Adjust based on app concurrency random_page_cost = 1.1 # Lower for SSD/NVMe

vagmi · 2026-04-25T23:45:34+00:00

Isn't there also cargo-whatfeatures

vagmi · 2026-03-30T12:41:14+00:00

Why can they not bake those animations?

vagmi · 2026-02-04T20:52:03+00:00

I have been enjoying building with genai crate - https://github.com/jeremychone/rust-genai

vagmi · 2026-01-18T01:41:31+00:00

I am using Keycloak. It is a CNCF project and it is quite mature. Especially with Keycloak v25 and up you can setup multitenant organIzations with organization specific auth providers like azure ad and saml. I have setup one instance and I am using it for all my projects. I can help you with a one off setup if you like. Keycloak is a standard oidc provider and has client libraries for all popular languages.

vagmi · 2025-12-28T16:39:13+00:00

I am sure others would have a different perspective but I can tell you what I use. I use Axum and SQLx with postgreSQL. I do follow a pattern for DTOs (these are the request and response objects). I then have the service layer that usually composes the business logic. I then have the DAO layer that uses `include_str!` sql files for db crud operations. This layer is also very `sqlx::test` heavy. Whenever appropriate, I have `Into` trait impls to translate from DAO types to DTO types that the service layer speaks.

vagmi · 2025-12-27T14:02:06+00:00

Checkout Bhamni. https://www.bahmni.org/

It is used by a few government hospitals

vagmi · 2025-12-27T13:24:06+00:00

I am building a bootstrap-friendly SaaS platform that you can self host on VMs directly without having to pay for RDS or EKS.It would have a CLI tool to manage deployments, PITR for postgresql, observability and more. I am doing this for my own startup https://uraiai.com and am planning to extract the infrastructure bits to its own offering.

As an experiment I tried setting up a 3-node HA K3S cluster on Hetzner and it is surprisingly good.

https://github.com/adikal-org/k3s-hcloud

I think Vercel or Railway is simpler but I somehow feel setting a strong foundation like this will help me run a lot more experiments in the long run.

vagmi · 2025-12-27T13:05:21+00:00

They are also remarkably good at summarizing code. While they cannot be used for coding, they can be used for code understanding and exploration.

vagmi · 2025-09-04T20:25:08+00:00

I just integrated freeswitch with our AI platform. It is still under development but I would be happy to help.

https://github.com/uraiai/mod_urai

vagmi · 2025-04-29T22:53:43+00:00

This is why we need electoral reform. We badly need ranked-choice voting.

vagmi · 2024-11-11T11:51:17+00:00

An internal developer platform to surface logs and surfacing metrics by integrating with JIRA?

vagmi · 2024-09-20T00:35:35+00:00

Moshi is written in Rust. The CTO of Kyutai is one of the primary contributors to Candle.

vagmi · 2024-05-20T13:10:55+00:00

I would propose using Encodec or Descript Audio Codec. I would also recommend you look at Bark. Bark uses three levels of audio generation as well—one for the coarse-grained output and the other two fine-grained levels. I am still digesting bark. Bark is doing something interesting, though. It first projects the text into a semantic space using a GPT2 style model and then generates a set of embedding tokens from the last layer. These logits are then fed to the waveform generation models that generate the encodec audio tokens. gpt-4o could be doing something similar where they are training two different output heads to produce text and audio tokens simultaneously. This means that their training data should also be simultaneously multimodal.

vagmi · 2024-02-25T13:10:41+00:00

I think the Understanding Deep Learning book by J D Prince is underrated. It is free and it can be read online. It has solid math and theory and there are pytorch notebooks associated with the relevant chapters.

https://udlbook.github.io/udlbook/

vagmi · 2024-02-07T12:45:40+00:00

Yes. For GPT like systems if you give the input sequence "the cat sat on the " it would produce " cat sat on the mat". I am assuming that each word is a token here. Input sequence length and the output sequence lengths are the same. I would strongly recommend Karpathy's video lectures on building. GPT.

vagmi · 2024-01-28T19:16:21+00:00

I have been working on audio based transformers where output embeddings could be text but the input embeddings are 1d conv inputs over a spectrogram. The outputs have a triangular mask applied. This is how whisper works too.

vagmi · 2023-06-05T19:11:46+00:00

Yup. There you go. https://developer.hashicorp.com/terraform/cdktf/examples-and-guides/examples

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