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#africanvibes
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I compared a bunch of glasses with AI and AI features.
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Meta had an intense two weeks. First:
Quest Platform OS v64, released April 8, came with two undocumented features:
It is interesting that this automatic detection and labeling of objects made it into a regular release of the Quest OS firmware:
My theory is that someone else at Meta may have seen the SceneScript video and thought that the automatic detection and labeling would be a good feature to try adding separately to Quest OS, but as both an Easter egg as well as an experimental option, and are anticipating user feedback on how well this implementation is performing without making it obvious.
To compare it to SceneScript below:
It is slower and not as complete as the SceneScript videos, but it definitely seems to save time when adding furniture during Scene Setup. This definitely moves the Quest Platform further in the direction of frictionless setup and operation.
In fact, this is such an undocumented feature that it was only found and confirmed by Twitter users and publicized by one YouTuber, The Mysticle, and the AndroidCentral blog at the time of writing. So this is very new.
Also, I don’t know if the Vision Pro has automatic labeling of furniture yet, although it has automatic room scanning with the sheer number of cameras built in.
Currently reading about changes in the code of v65 PTC, some things stand out as possibilities:
I guess we’ll find out in early May.

The news from Meta’s April 22 announcement:
My thoughts:
Now Cornell’s Lab have come up with yet another development, but not a pair of glasses: EchoWrist, a wristband using sonar + AI for hand-tracking.
(This also tracks from a 2022 (or 2016?) paper about finger-tracking on smartwatches using sonar (paper).)
Based on what I’ve read from this Hackerlist summary as well as Cornell’s press release, this is a smart, accessible, less power-hungry and more privacy-friendly addition to the list of sound+AI-based tools coming out of Cornell for interacting with AR. The only question is how predictive the neural network can be when it comes to the hand gestures being made.
For comparison, Meta’s ongoing neural wristband project, which was acquired along with CTRL Labs in 2022, uses electromyography (EMG) and AI to read muscle movements and nerve sensations through the wrist to not only track hand, finger and arm positioning, but even interpret intended characters when typing on a bare surface.
There shouldn’t be much distance between EchoWrist, EchoSpeech and using acoustics to detect, interpret and anticipate muscle movements in the wrist (via phonomyography). If sonar+AI can also be enhanced to read neural signals and interpret intended typed characters on a bare surface, then sign me up.
EDIT 4/8/23: surprisingly, there is a way to use ultrasound acoustics to record neural activity.
Matt Isbell, a stellar Florida-based political data analyst, posted this on Twitter for the doubters:

In regards to this October 2023 post from Democracy Docket about the non-necessity of elected sheriffs, I looked up which states abolished the role of sheriff. Turns out that there are few, but notable, examples:
But also, who runs the jails if not a sheriff?
Connecticut seems to be far ahead of most states on the question of the relevance of sheriffs, as well as the role of counties, to modern-day government and corrections. This also eliminates the nonsense of “constitutional sheriffs”, and the corruption and feudalism inherent to the office itself.
Imagine such abolition taking place in larger states. How much efficiency would this allow to state government when it comes to zoning, housing, infrastructure, and more?
Qualifying for the May 21 Democratic primary and nonpartisan election ended last Friday at noon.


Statewide:
And now for local elections around Columbus:
Retirements:
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