While preparing #ArtemisII for flight, NASA engineers are reviewing data after a confidence test Feb. 12, in which operators partially filled the SLS (Space Launch System) core stage liquid hydrogen tank to assess newly replaced seals in an area used to fill the rocket with propellant: https://www.nasa.gov/blogs/missions/2026/02/13/following-confidence-test-nasa-continues-artemis-ii-data-review/ - during the test, "teams encountered an issue with ground support equipment that reduced the flow of liquid hydrogen into the rocket. [...] Engineers will examine findings before setting a timeline for the next test, a second wet dress rehearsal this month. March remains the earliest potential launch window for Artemis II."
a link under some vid on peertube led me to this band. they are very nice.
https://catalogue.bandcamp.com/album/flying-until-hitting-the-asphalt
David Cronenberg, master of body horror movies, was born today (March 15) in 1943 (during World War II!)
I saw his films 'Crash' and 'Naked Lunch' early, around the same time, in 1997 or 1998. Since then, I've seen many more of his- I just counted, I've seen 13 of his 23 films, and I've loved all of them. I'm a huge fan. My favorite was Shivers for a while. I'm not sure what it is now. Gotta see those final 10!
Happy birthday, David. We love …
California Towhee emerging from the bath. LA Arboretum, Arcadia, California, USA. April, 2026. OM System OM-1 M.Zuiko 300mm F4 MC14 #laarboretum #towhee #bird
Fleet of ‘Flying Ferries’ Will Provide Zero-Emission, Silent EV Boats for Commuters and Tourists Along Norway’s Coast https://www.goodnewsnetwork.org/fleet-of-flying-ferries-will-provide-zero-emissio…
BOFH excuse #431:
Borg implants are failing
General query: are you anticipating the return of 1974 gas lines and perhaps even/odd gasoline filling days?
(I am.)
By-the-way, when that was happening I would go fill my car at midnight - a time when it was ambiguous whether the day was an even one or an odd one.
And once again with #AltText4You.
Why is that one simple link so hard to click?
So to follow up on this, I've caught it in action. Models, when quantized a bit, just do a bit more poorly with short contexts. Even going from f32 (as trained) to bf16 (as usually run) to q8 tends to do okay for "normal" context windows. And q4 you start feeling like "this model is a little stupid and gets stuck sometimes” (it is! It's just that it's still mostly careening about in the space of "plausible" most of the time. Not good guesswork, but still in the zone). With long contexts, the probability of parameters collapsing to zero are higher, so the more context the more likelihood you are to see brokenness.
And then at Q2 (2 bits per parameter) or Q1, the model falls apart completely. Parameters collapse to zero easily. You start seeing "all work and no play makes jack a dull boy” sorts of behavior, with intense and unscrutinized repetition, followed by a hard stop when it just stops working.
And quantization is a parameter that a model vendor can turn relatively easily. (they have to regenerate the model from the base with more quantization, but it's a data transformation on the order of running a terabyte through a straightforward and fast process, not like training).
If you have 1000 customers and enough equipment to handle the requests of 700, going from bf16 to q8 is a no-brainer. Suddenly you can handle the load and have a little spare capacity. They get worse results, probably pay the same per token (or they're on a subscription that hides the cost anyway so you are even freer to make trade-offs. There's a reason that subscription products are kinda poorly described.)
It's also possible for them to vary this across a day: use models during quieter periods? Maybe you get an instance running a bf16 quantization. If you use it during a high use period? You get a Q4 model.
Or intelligent routing is possible. No idea if anyone is doing this, but if they monitor what you send a bit, and you generally shoot for an expensive model for simple requests? They could totally substitute a highly quantized version of the model to answer the question.
There are •so many tricks• that can be pulled here. Some of them very reasonable to make, some of them treading into outright misleading or fraudulent, and it's weirdly hard to draw the line between them.