tuvix
tuvix on Hacker News
Yeah that’s my read too. Mistakes like this might fly under the radar with the general public but I think a much larger portion of Protons user base, as opposed to Zoho or Google, reads 404 and HN.
I’ll definitely not be renewing my subscription to their service, I can tell you that much.
Come on now Voyager wasn’t that bad
Kind of amazing how completely Yen misunderstands Protons customer base. It’s pretty much entirely security conscious people who want to divest from big tech right?
Why would he throw all that away?
I feel like this is an internal bias I’ve actually built up over time. If I see another company providing a service come out after something I already am using, I subconsciously gravitate toward it.
If they’re coming to market when there’s already a dominant player, they must have improved something, right? Not saying it’s logical.
Posted by
tuvix on Thursday October 22, 2026 @06:47PM
from the kempfolds.blogspot.com dept.
Just recently created an md live viewer/pdf exporter after feeling some of these same frustrations[0]. Always wanted something that allowed me to use vim while viewing the markdown exactly as it would render to pdf, kind of like overleaf.
[0] https://github.com/john-marinelli/docm
This is the primary reason, to me, that open weights are so important. If OpenAI and Anthropic want these models to be as autonomous as possible they also need to provide the means to understand them fully.
They also ring when a non-associated iphone is moving with them for some time.
> “shooting somebody in the face with a gun”
If you try to visualize this in action, replace somebody with a bad guy. And you quickly see there’s nothing inherently wrong with the idea.
This is sweet! Is there like a way to contribute and build these or is this just a list of cool things someone has made?
I think the only truly trivial ones are for n = k^2. Even the solutions that have integer side lengths but aren’t completely packed by unit squares seem difficult to prove that they are the optimal s(n). I don’t know much at all about the problem though, just seems like if there’s any space at all you might be able to rotate or whatever to squeeze out some space.
Depends on how they’re being informed I guess. Homogeneously informed can be okay to pretty bad. From mid-century American television and print media all the way down to North Korea and Nazi Germany.
Yeah I checked on DDR4 prices too recently and it made me pretty sad. Glad I upgraded to 64 GB in 2023 though. Another homelab dream deferred
The incentives driving state lotteries are not nearly as strong as those driving private companies like Draft Kings but yeah not great either.
Used to work at 7-Eleven and we would have people come in and out for hours on end pouring money into scratch tickets.
State lotteries are just a regressive tax targeting the poor.
I’ve owned a few clones of theirs and they aren’t bad at all. Build quality sucks though sometimes.
Didn’t think about that, not sure if the market for an Octatrack clone is big enough for them to go after. Hope they do it though
Well I think it’s technically pretty similar to 5G, but it doesn’t use existing 5G towers. It’s this company in Denver that sets up receivers on top of certain buildings and distributes using a line of sight connection. What’s weird is that we plug our modem into the phone jack in the wall
Not my area of expertise though so I could be leaving out info
Edit: Starry is the company, I believe they were just purchased by Verizon
Just got this at my apartment and it’s dirt cheap. Not the fastest internet on the market but more than enough
Wonderful, soon an old Octatrack will be as much as a car
For sure, I just know it’s tempting given the power of large transformers to throw things at an existing model.
For instance, OCR is something that can be done locally with no access to a GPU but people (including me) still often use cloud hosted multi-modal large language models for it.
Are there any LLMs being widely used for audio classification? I know VLMs are being used a lot in image stuff.
It always seems kind of silly to me to throw everything at an LLM. I know they’re huge and can automatically handle a huge number of tasks but something in me finds it wasteful when we could be creating easily trainable, cheap to run bespoke models for a lot of stuff
Solving millennium problems doesn’t pay the bills.
Their best models might be quite good when directed at extremely difficult and very focused problems, but most business use cases are nothing like that.
Edit:
Not trying to imply these new frontier models aren’t also better at other things, just that there’s really no reason for most people to use them when cheaper alternatives exist that get the job done just as well.
Why would someone hold the opposite opinion?
It’s much more likely that our current approach to large language models for general use will eventually show diminishing improvements (even if you think it hasn’t yet), than the opposite situation where valuable improvements can be made forever.
The threat of distillation and efficiency gains from competitors mean that providing value at the top end of the market is an existential necessity for these labs. I don’t think they can do that forever and, in my opinion, for the vast majority of use cases we’ve already reached very little improvement for new models when compared with available offerings.
I don’t think you’ve fully considered what can happen when concentration of wealth continues past a certain point.
If you can learn Elektron gear it’s like a music creation superpower though. I tried with a Digitakt and couldn’t get into the flow
From what I remember reading it was pretty limited and only applied to context menu actions.
I was pretty disappointed when I saw that, but they’ll probably expand it
Haha yeah I think I’m mostly speaking from nostalgia. I do remember wrestling with knobs in Massive or whatever free VSTi back in the day was pretty terrible.
I can’t deny I love the look, though.
Reminds me of VST GUIs, looks great! But, like other commenters have noted, I think a number of these controls might be desktop only, which is totally fine. There’s too much UI stuff centered around mobile anyway these days
Are there significant differences re: sandboxing between Lua and monty? Just curious if there are any holes that a Lua sandbox has that monty might account for
I also often need EQ in the reverse situation, when I need less bass through my nice studio monitors when watching TV. Otherwise I’ll be watching Star Trek with dialogue at a normal volume and BOOM, the loudest photon torpedo you’ve ever heard.