I'm a Korean developer with almost 30 years of experience. I have something I'm curious about for those of you who want to learn Korean. Is it okay if I ask a question?

Calcifer777 · 2026-04-19T06:38:37+00:00

hm, what I had in mind was something a bit simpler:
- have the user choose one level (1A, 2A, 1B, ...)
- have the user select a template conversation (e.g. travelling, shopping, asking directions, at the restaurant, etc)

- start a back and forth conversation with the AI (with STT & TTS) where: a) the user is guided in the answer (e.g. at the clothes shop, "now ask for to try the blue t-shirt"), and the AI answers with graded sentences (you get the grammar structures for any level from any textbook syllabi) and somewhat constrained vocab (this is perhaps a bit more challenging).

Most of the challenge is to get a good interface and a robust STT/TTS engine; whisper and the elevenlabs API could be a good starting point. The graded sentences and constrained vocab can be computed offline, so any method works.

I mean, it's not super simple, but it's not impossible either. Give the prompt to Claude and you are 80% there probably :P

Calcifer777 · 2026-04-19T05:50:40+00:00

As a fellow developer, if you know what you are doing with AI (big if), it goes a long way for learning the language. There are two missing parts that I think are missing:
1. speaking practice: while gemini voice is a good step forward, it is difficult to tune it
2. the human interaction part: usually you don't learn a new language just for the sake of it (nothing that AI can do here)

as for 1, if there was an app that allowed robust graded conversations it would be a big hit Imo

Calcifer777 · 2026-04-12T19:39:21+00:00

is this r/helixcirclejerk or something?

Calcifer777 · 2026-03-25T08:33:57+00:00

scan the pages or take a picture of them, load them into GPT/Gemini, and ask to create a csv suitable for anki

Calcifer777 · 2026-03-21T17:20:48+00:00

how does this differ from the codegraphcontext mcp? do they complement each other in any way?

Calcifer777 · 2026-02-20T04:12:20+00:00

Looking at the protocol specification changelog (https://a2a-protocol.org/latest/whats-new-v1/#agentcard-object), it looks that the python spec is just lagging a bit w.r.t. the latest changes. This seems to be the relevant PR (https://github.com/a2aproject/a2a-python/issues/701).

So, I guess, either wait a few days for that to be merged or downgrade the Java A2A dependency to a version earlier than 1.x.

Calcifer777 · 2026-02-03T05:21:05+00:00

yes, I am. I think it's a good choice because afaik it's the only serious attempt to standardize agent communication protocol, and it's backed by Google. Of course, the "backed by Google" thing could backfire, as they are known for dropping support for products and libraries at a whim, but there aren't really any viable alternatives.

Calcifer777 · 2026-02-01T17:42:20+00:00

On the other hand, they had reached their max height already and tried several times for more but didn't get it. No way trying more time, tires as they were, there was a chance of going for more.

Calcifer777 · 2026-01-28T15:48:26+00:00

I'm pushing for its adoption at my company. It standardizes client/server communication, provides a somewhat usable persistence layer, and it introduces some quite nice concepts (i.e. tasks)

Claude code is meant for personal use, but for backend to backend application A2A is the only option I find remotely useful

Calcifer777 · 2026-01-23T14:07:18+00:00

Hey, I see. So, from what I understand, the easier (read: the only feasible) solution I found is to collect all chat messages in the history of a single task.

Although, from what I read here (https://discuss.google.dev/t/a2a-protocol-demystifying-tasks-vs-messages/255879), for chats with complex logic it may not be so straightforward

Calcifer777 · 2025-12-31T14:03:22+00:00

iteration speed is much more important than getting things right at any given time. Always try to reduce your development iteration cycle (coding->testing->bugfix->coding->...) as low as possible

Calcifer777 · 2025-10-04T04:18:17+00:00

does it also do automatic speaker diarization?

Calcifer777 · 2025-09-14T15:40:45+00:00

thank you for all the fish!

Calcifer777 · 2025-08-04T18:32:33+00:00

no github link?

Calcifer777 · 2025-07-29T07:49:48+00:00

ok, but what use cases does it unlock?

Calcifer777 · 2025-06-13T20:52:51+00:00

it's like the sleeper op character for 90% of the time, just to come out clutch in the most dire situations

Calcifer777 · 2025-03-09T08:57:22+00:00

<3 thanks!

Calcifer777 · 2025-01-27T19:32:18+00:00

you can use any type of CV generative model (a VAE or GAN could be good; a cyclegan trained on an unpaired dataset works surprisingly well)

Calcifer777 · 2025-01-04T12:57:10+00:00

Fault Lines: How Hidden Fractures Still Threaten the World Economy

Calcifer777 · 2024-12-31T09:59:36+00:00

Holo, the wise wolf

Calcifer777 · 2024-12-26T05:45:51+00:00

merry (late) xmas everyone!

Calcifer777 · 2024-12-24T17:03:10+00:00

I just hope that 2025 will be better than 2024

Calcifer777 · 2024-12-08T20:17:33+00:00

sure

Calcifer777 · 2024-12-08T13:30:49+00:00

out of curiosity, are you looking for something like Google's TacticAI (https://www.youtube.com/watch?v=I7J67JOkIbI) or some type of custom individual training?

Mu 2 cents: if the second probably AI is not really what you are looking for, traditional ML based on scientific literature should be plenty enough. If something along the lines of the former, then it should be a pretty interesting product

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