rasmus1610

All discussions around Jev and its moat and whether it is new or not all focus on the architecture part, but what Diogo always states is that he thinks their secret sauce is in the data and the post training with RLCD … that is also why I think these clones using RLHF trained LLMs completely miss the point.

I feel strong Schmidhuber vibes here.

you miss the multiplexer part. multiplexers are awesome if you have them on a persistent machine like a server you SSH into. To me herdr feels more like a modern alternative to tmux or zellij with the agent features being a nice add on.

some may argue for ghostty but yeah :)

but those are two different things. Of course something like Deep Resolve is great, as are modern model based reconstruction algorithms for CTs, but here we are talking about LLMs and their ability to interpret medical images, which has nothing to do with what you said.

As a radiologist I have found Claude and ChatGPT to be absolutely terrible at MRI and I would not trust it one bit. It has its merits if you need to research stuff that is more text based, but radiological images is just something that they cannot interpret good enough (yet)

It will be terrible for brain imaging. The ultrasound waves can’t go through the skull and thus can’t image the brain. Additionally you would have to drown the patient since you need a medium other than air between the ultrasound emitting probe and the body which is water in their device.

CT is more than sufficient for imaging the brain in a case of trauma and MRI is not automatically better than CT in every case.

(I am a neuroradiologist)

it is more like that the brain learns to use other regions or neurons to do the tasks of the dead brain cells. The brain cells that are dead due to ischemia are dead and will usually be collected by microglia and after some time there are defects in the brain where the ischemia was.

I mean what is the alternative here?

Mario maintains the project pro bono, which is only possible because he had an exit a couple of years ago. I believe it is a lot of work making sure that the quality of the codebase doesn't detoriate with the onslaught of slop that is hitting open source projects right now.

Additionally, I have massive respect for Armin and I don't believe Earandil is your typical VC startup that wants to grow no matter what.

Maybe Chris Lattner leaving and creating Mojo also didn’t help in that regard.

Swift for TensorFlow was a cool idea in that time …

Hey HN, I'm Marius, an AI researcher and radiologist.

I read a lot of ArXiv papers on my Kindle Scribe, but other tools for sending PDFs to Kindle completely scramble math equations and tables.

I built PDFling to bypass that. It just takes the ArXiv URL and sends the raw, unharmed PDF directly to your device via Whispernet.

It's a simple scratch-my-own-itch project, but I figured others here might find it useful.

I'd love to hear your feedback :)