nostrebored

I don’t think it is revelation, it feels like active incompetence. You can lay out every decision and watch Claude/OpenAI actively fuck up in inexplicable ways.

If you can’t tell value at a 25 (or 10 or 5) person org, you will not be able to at a larger one.

If you weren’t making intentional decisions about cloud vs on prem… why? I worked with many small businesses that did.

This feels like a value-divorced outsourced engineering mindset. You have the power to understand if things are good ideas or working!

I don’t think it has much to do with technical jargon. You are making a product for technical people, jargon is fine.

You should not write things with AI that you expect people to read

I have it on $200 Ultra and it feels like Opus 5.5 (I do not think about limits) rather than gpt-6* models where I constantly hit a wall.

yes, I’ve only had it really degrade once and then I used a different agy session to fix the session table. I’ve been using maybe 5-6 concurrent sessions and it’s largely fine

Claude can usually make a cli that uses the endpoint and the keychain secrets now. Eg i have ‘cluse’ for muse in cc.

Why would you think so? From the info here it could be measurably better?

I’ve been primarily using agy cli and argon for the last week and I’m fairly satisfied. Rarely am I looking to go back to opus and it seems much much better at model training and conceptual math

Was there any intent behind the audio encoder representation or was it frozen backbone -> co adaptation?

Is it a parameter count problem? Ie why are you not seeing the cross modality bump in performance?

They make very good classifiers and are easy to fine tune for specific use cases.

You can train gradient boosted trees on jev style features, it is a quick “good enough” approach for a lot of stuff

right, and this would be a positive for the world.

they are, I believe the third clip is dystopian AI girlfriend

I strongly like muse-wonder-full and it's broadly competent