dr_kiszonka

Fixing this problem would result in more tickets from accounts flagged as "bad actors." So first you pay for fixing the problem, and then you pay to resolve the tickets. Maybe nobody at LinkedIn wants to pay for it?

It sucks for those banned erroneously.

Reviewing 150k loc line-by-line is not practical. I think we need a new set of tools to facilitate such tasks.

Otherwise, we will be spending most of our time monitoring AI's code writing process.

I am curious about Pi, but my experience with a seemingly more fully-featured Hermes has been endless tinkering and fixing minor issues. Have your experience been at all similar?

I don't know if people hate it, but I don't use it because it is overpriced (you need the $50 pro subscription to do more than tinker) and it had multiple CVEs this year. There are also a lot of n8n "influencers" on YouTube, but that is not n8n's fault.

I think it is fine for prototyping if someone prefers a GUI.

Is "the whole thing" referring to the "current system"or something else? Asking out of curiosity, as I am sadly not a younger American.

Nice. I will give it a try too. Thanks!

Handy worked fine for me on Windows, but on Fedora, I can't get it to work at all.

Unless it is something with the playback on my end, your animations and scrolling are a bit jerky too.

I like this. It means a human was involved.

We can get refurbished phones with 8 GB LPDDR5 for less than regular DDR5 modules.

LPDDR5 is slower but maybe a small cluster could be useful?

There isn't much choice, I am afraid. It is Chinese models or Gemma or Llama? (I am skipping a few lesser known ones.)

I take this opportunity to shame GitHub for completely ignoring the mobile experience in their own Android app. The project's README is pages upon pages of largely blank space. In general, the app does not render mermaid diagrams and does not allow for zooming in, so smaller pictures are unusable. Even if you access pictures directly in a repo's source, you still can't zoom in. iPython Notebooks, which are extremely common in data science, are an "unsupported file type" and are not rendered.

(OP, nice project! Sorry for my rant.)

Thanks for sharing this! These vendor lock-in attempts are very annoying.

Unsloth documented the vision components degrading more during quantization for one of the earlier Qwen models.