k9294

18 ms·

1.
by k9294 3d ago
The part that scares me the most is that OpenAI researchers who manage this experiments sometimes (according to the HF hack investigation) don't know what agents do.. So they run RL to reinforce this unknown behavior (lying/cheati
2.
by k9294 6d ago
It's not that I haven't heard of this, it's the reality that you have these constraints when you build applications on modern infrastructure. And let's face it, most of the applications use this infrastructure with these
3.
by k9294 6d ago
100%, but this means we are going to move to stateful APIs on the AI provider's end (like OpenAI already does with Codex and Responses API) to make this work.
4.
by k9294 6d ago
Yep, but even 0.006 is quite a big improvement. I'm curious now to test the model on some token-heavy tasks, like code exploration before a coding session, to see whether it will decrease the total cost of the task in the end or not.
5.
by k9294 6d ago
I'm surprised more people aren't talking about the cache hit price: $0.003 per million tokens. I have a feeling that the price of 1 million tokens transmitted over the internet is more expensive than cache hit. Are we close to mak
6.
by k9294 12d ago
Is it only me, or are agents starting to invent their own language to communicate? It's almost impossible to understand anything from this message board.
7.
by k9294 13d ago
Is there any comparison of usage limits for Antigravity plans vs. Codex? I just ran two light tasks on my codebase and got 100% of the weekly limits of a Pro plan blown away. Is Ultra plan any different? Because on Codex it wouldn't af
8.
by k9294 19d ago
https://ottex.ai
9.
by k9294 19d ago
I'm pretty sure it's a bad idea because each time you connect and disconnect tools, you are hitting a full cache miss on the full context, that will be probably more expensive than having these tools in place from the very beginni
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by k9294 20d ago
Yep.
11.
by k9294 20d ago
I am using it all day as a main dictation model, and I can say it's the best model in terms of accuracy, latency, and formatting I have ever used.
12.
by k9294 20d ago
Sorry everyone, I got a little bit too excited about the release. It's quite a big deal for us. I started Ottex nine months ago with the idea that models will get to the point that they will overcome VC-funded startups, and I think it
13.
Gemini-3.5-Transcribe(blog.google)
363 points by k9294 20d ago|127 comments
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by k9294 22d ago
I'm a big fan of SQLite embedded nature, which allows for chaining multiple SQL calls with near-zero latency. I'm currently building a personal knowledge graph server a mix of Notion's custom entities via JSON schema and Obsi
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by k9294 1mo ago
Gemini 3 flash series is quite good, also elevenlabs scribe v2
16.
by k9294 2mo ago
I'm a huge fan of fountain pens, it's a very satisfying experience to write with a nice pen on a proper paper. I use platinum 3776, it's quite expensive one, but it's just amazing. I originally bought it for sketches, bu
17.
by k9294 2mo ago
I'm founder of ottex.ai, I use stt pretty much all the time when work with AI and quite often for communications to draft emails and chat messages. I started ottex half a year ago after I tested gemini 2.5 flash native audio support. I
18.
by k9294 2mo ago
Meh... Waiting for OpenAI models without this 5 more days subscription bullshit. It looks like Anthropic baiting people into Max subscriptions before turning the model off. No thank you.
19.
by k9294 2mo ago
What are some cool random things you've learned? // you == the reader of this comment
20.
by k9294 3mo ago
What about request caching? If you swap to a cheaper model mid execution it might cost more that to make multiple requests to the already cached provider?
21.
by k9294 4mo ago
+1 for Go! it's my go-to language for any new project at the moment. It's simple, idiomatic, has no awaits, fast compile times, static typing, and it is very opinionated, which helps a lot because agents "subconsciously"
22.
by k9294 4mo ago
Working on https://ottex.ai - voice ai for busy professionals. Think wisprflow + granola with 30+ top STT models under single login and pay as you go billing model with 25% markup over API.
23.
by k9294 5mo ago
What is yours agentic development experience with elixir? I used to like elixir a lot during a pre agentic era, but with coding agents it feels like the language isn't the best choice - slow compile time, weak type system (at least it
24.
by k9294 5mo ago
Small advice - make one repo “main” and link to it from the website instead of an organisation. I wanted to star the project to track the progress but it feels a bit weird.. Which repo shall I track? Server? Cli? Sounds like a misc repos.
25.
by k9294 5mo ago
That's really cool! One thing I'm confused with is how to create a shared resources like e.g. a redis server and connect to it from other vms? It looks now quite cumbersome to setup tailscale or connect via ssh between VMS. Also w
26.
by k9294 5mo ago
Nope, but I will think about this, thank you for the idea. Maybe it's time to start a technical blog for ottex
27.
by k9294 5mo ago
There is no cold starts at all. It’s running non-stop. Bunny bills per resource utilization (not provisioned) and since we run backend on Go it consumes like 0.01 CPU and 15mb RAM per idle container and costs pennies.
28.
by k9294 5mo ago
We at ottex.ai use bunny.net to deploy globally an openrouter like speach-to-text API (5 continents, 26 locations, idle cost 3$). Highly recommend their Edge Containers product, super simple and has nice primitives to deploy globally for a
29.
by k9294 5mo ago
Anecdotally, I’ve been seeing a lot of weird behavior from Opus when it decides, mid-execution, to switch to a different "simpler" solution, and that really pissed me off. At one point, I carefully designed a spec document, forced
30.
by k9294 5mo ago
Try ottex.ai - it has an OpenRouter like gateway with most STT models on the market (Gemini, OpenAI, Groq, Deepgram, Mistral, AssemblyAI, Soniox), so you can try them all and choose what works best for you. My favorites are Gemini 3 Flash a

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