When I watched Incubus I remember him sounding very much like he was trying to speak Italian. My only basis for comparison are some podcasts in Esperanto I've listened to, and completion of the duolingo course (I've forgotten everything).
I worry about the Slate truck being DOA with expiration of incentives for EVs. Someone please tell me I'm wrong, because if they do deliver as promised, I'll be excited to buy one.
For me, I'm hoping it fills the mid-90s Isuzu Pup sized hole in my heart.
From the papers I've read, the stem separation models all seem to train off what seems like a fairly small dataset that doesn't have great instrument representation.
I wonder if you could assemble a big corpus of individual solo instruments, then permute a cacophonous mix of them. IIRC the main training dataset is comprised of a limited number of real songs. But I think a model trained on real songs might struggle with more "out there" harmonies and mixes.
MuseScore is good enough that I haven't bothered to check back with commercial vendors. I'm pretty novice with it, however, so perhaps Sibelius power users will disagree.
Tunable transparency mode sounds great, and I wish Apple would do something like this as first-party support.
As a casual trombone player, who often plays in louder settings, the airpods pro are almost excellent hearing protection. Passive (even "audiophile" or "concert") earplugs make me feel like I'm under water. Airpods Pro attenuate a lot of sound but don't feel so unnatural.
Unfortunately, they tend to drop my own sound out of the mix when sounds around me get louder.
I'd love a mode that selectively let in more trombone frequencies, or better, that mixed noise cancellation and transparency to give me more of a studio monitor effect. Maybe the airpods could figure out which sounds were mine via the buzzing sounds that propagate through my head from my lips.
apple doesn't allow much customization, only the 9 presets under accessibility>hearing>headphone accomodation. this eq then also applies to the audio played and transparency settings both. maybe one of those nine presets suits your needs?
I think the answer here involves licensing and Apple control of the infrastructure, but my first thought was, "I historically trust Apple with my data a bit more than I trust Google, how is this not just trusting Google with my data?"
Apple previously pitched a vision of local-first AI for privacy, but seems to have badly miscalculated the kind of customer experience they could provide. My personal experience is that Siri has suffered greatly.
Case in point, I like to listen to music in the car, and Siri now confidently starts playing artists whose names sound nothing like what I requested. Also maddening "Play [x] on Apple Music" "You'll need to authorize me to use Youtube Music"
Still I live with / pay for so much that is broken based on a kind of Apple privacy vibes inertia. Siri being wired up to more of my personal information plus Apple maybe shipping that data to Google is going to make me reevaluate that.
I don't think those work between iOS and KDE Connect. I would love to be able to type iMessages on my Linux desktop's computer. If I'm wrong about this not working, someone please let me know, but I've never been able to make messages work.
I can't remember where I read it, but I read that Signal's popularity was high (highest?) in Germany. Assuming I'm not misremembering or that the situation hasn't changed, it seems that Germans care enough about the issue to stake out a position.
Though this is more "LLM uses a variety of open source tools and compilers to compile source," I do wonder about whether there will eventually be a role for transformers in compiling code.
I've mentioned this before, but "sufficiently smart compiler" would be the dream here. Start with high level code or pseudo code, end up with something optimized.
There's been a decent chunk of research in this direction over the years. Michael O'Boyle is pretty active as a researcher in the space, if you're looking for stuff to read: https://www.dcs.ed.ac.uk/home/mob/
Gosh, I remember my family renting this and the VHS player to watch it as a kid. I remember nothing about the plot. Only pizza, soda, VHS rental, and this title specifically.
