rcarmo

Damn. And me here typing "make it so" to AI agents instead of re-watching TNG.

Let me go and fix that.

Also, one of the most... colorful reviews. I watch his stuff just because of his style...

This is brilliant. Just brilliant.

As someone who works in the field… having models that do something is not the same as having a workable solution.

I think we’re going to see a lot of this clueless cloning across the board. Photoshop and the like are very visible targets because they’re popular and the “outcomes” of this cloning are flashy and trigger endorphin responses in people who think “it’s just about coloring pixels, how hard can it be?” But as the article says the core engine is flabbergastingly efficient - I ran Photoshop on early Macs, and boy, was it devastatingly efficient for the hardware at the time.

That is nowhere on these projects’ roadmap, which is kind of sad because AI is pretty decent at targeted optimizations, if you know what to ask for and how to guide it.

Many people are using Nemotron (NVIDIA provides Linux binaries for ARM and Intel that you can shove into a server and do audio over websockets for them).

As much as I like seeing this, the space is really crowded, and I think the real value is not in single dictation for input, but in two other things: diarization (essential for call recordings, and a staple in video calling services, but hardly touched for in-room meetings and brainstorming) and the next step, which is cleaning it all up for actually useful notes. Not just the transcript, but better variations on meeting notes that you can customize, link to previous existing information, etc.