Is there a benchmark for compute needed? Curious to see if anyone is building / has built a Zoom filter, or Mobile app, whereby I can speak English, and out comes Chinese to the listener.
If needing to be tethered, Apple Vision Pro should’ve put more of the compute in the battery pack.
Sure there are latency concerns, but Goggles should be “lite”, more “heavy” compute with the battery pack.
Also seems redundant walking around with iPhone and Vision Pro battery pack. Future Vision Pros should be powered by iPhone Pro or MacBook Pro, with limited R1 chipset embedded in Goggles
How many of these implementation are strict, narrow implementation just to show that Google is better than OpenAI for the investor community?
E.g. In a similar vein within Silicon Chip. The same move that Qualcomm tried to do with Snapdragon 8cx Gen 4 over M2. Then 1 week later, Apple came out with M3. And at least with processors, they seem to me marginal, and the launch cadence from these companies just gets us glued to the news, when in fact they have performance spec'ed out 5 years from now, and theoretically ready to launch.
I loved, loved Google Desktop when it had launched, but alas it was deprecated. I have even paid for Neeva, a hot flash in the pan to see if it could provide personal search.
Dropbox has gotten progressively worse to no fault of its own. Instead of allowing Dropbox to run on a kernel like the good old days, Apple forces all sync providers (iCloud, Google Drive, Box, Dropbox) to use its macOS File Provider API going forward, which is terrible.
Apple Spotlight now doesn't index my Dropbox files, and I have to revert to using Dropbox.com to search for my files.
I'm a big believer in Personal LLMs, so the more data I have on myself the better.
Glean is the closest Enterprise focused solution of what I am looking for, and a few reddit subredits mention Personal LLMs, but I think we are still at the frontier.
I am curious if this community has any feedback or reaction!