io_uring is faster than mmap 11 months ago
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thulle
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I see hacspec using secret-integers: "wrapper around integer types for constant-timedness". Does Hacspec/Bertie have assurances about constant-timedness too?
Link seems broken.
It is perfectly good enough for the error code enumeration to be statically randomized into hard coded constants.
A comment points out that they aren't randomized:
The values used were chosen such that it takes a large number of bit flips to change from allowed to denied. Using random values doesn't really protect against this attack.
Some data for me:
Nitter: I get all 8 posts in the thread in 18 requests, 207 kB, 169 kB transferred.
X: I only get the first post, 128 requests, 11.45 MB, 2.11 MB transferred.
The 608.5 mm² 4090 with 76.3 B transistors isn't too far off from the 814 mm² H100 w 80 B transistors. Seems like mostly more area for memory interfacing?
Assuming they're not selling the 4090 at a loss and being generous that the whole cost is the chip cost, that makes for a $1600 chip. Scaled to the H100 we get $2140. That's a pretty minuscule fraction of a $35k card.
That makes sense though, are the chips themselves the bottleneck in production?
5nm dies are the most expensive part of the whole solution, meaning there is also a 65% pricing advantage (though some of this advantage is offset by more complex packaging and other cheaper dies that go into mi300x as well as more HBM chips).
That doesn't say anything about the fraction of the cost on the finished product though? Those numbers just say it could be something like 2% vs 6% of the cost of the card.
Does it matter? Is wafer cost that large of a fraction of the price of these insanely expensive cards?
QuIP#: 2-bit Quantization for LLMs 3 years ago
Better output than the smaller llamas in my limited testing, but it's surprisingly slow:
Output generated in 101.74 seconds (0.98 tokens/s, 100 tokens, context 82, seed 532878022)
Output generated in 515.46 seconds (0.99 tokens/s, 511 tokens, context 27, seed 660997525)
Checking nvidia-smi it stalls at ~130W (out of ~470 W max) power usage, ~25% GPU usage and ~10% memory bandwidth usage. There's fairly much traffic on the pci-bus though, and the python process is stable at 100% usage of one core. GPU possibly limited by some thing handled in python? Pausing the GPU-accelerated video-decoding of a twitch stream it get a surprisingly large boost:
Output generated in 380.42 seconds (1.34 tokens/s, 511 tokens, context 26, seed 648992918)
My insulin pump controller has a bug 3 years ago
February 08, 2022
They'd need 20 months to manage to notify users?
Coming back home and checking 2.2.1 out zfs instantly started spewing write & checksum errors due to #15533. Both this and #15526 seem to have underlying issues from <2.2 that are just more easily triggered now. First one also confirmed on FreeBSD now.
Holding off on 2.2 seems recommended, and if you're keeping critical data on OpenZFS it might be a good idea to give the issues a glance. The 2nd one might have the same underlying solution as an issue that has given me system freezes when closing in on ~90% pool usage using 2.1 on top of LUKS.
2nd in the bug here. I actually have some blockcloned data, f.e. steam uses it for all proton installs, but no issues other than the go build.
The point seems to escape you, it isn't about the sensitivity of the issue, but about if the behaviour is changed or not.
If you're going to sanction somebody, keep at least some screenshots around.
That might not've been a consideration when the offending posts were removed. The ones doing the removal might not even be the same people handling suspensions.
I could find nothing even questionable the banned person did.
That might be an issue of legitimacy. I'm involved in some discord modding, and we got admin-only channels mirroring the others to keep logs of everything. I have no idea how suspensions are handled in the NixOS community though, maybe moderators are picked to handle things in their own discretion.
The fact that you don't agree with some person on an issue is no grounds for a ban.
That's not what's happening here though, it's the intentionally provocative behaviour?
Say some person argues that Israel is a nazi state dehumanizingly enough to get a warning, and gets told to stop derailing everything into a discussion about that since it's a detriment to a community that in itself has no connection to the issue. Agreeing to this they instead start sporting a green flag, or a little image with a free country between a river and a sea - maybe with a green flag on it - while linking to a page about how Israel is a nazi state. Then the issue the moderators have to consider isn't whether they agree on how to describe Israel, but if the actions of the warned person are still acting inflammatory and derailing the community.
A bit over the top example to make it clearer, if you find it an incomparable situation just tone down the actions in it accordingly.
Title seems mangled.
Several posts have been hidden/deleted because they also contained inflammatory speech. Several community members have reported their discomfort with Srid. In that context, his Discourse profile was seen as yet another provocation.
Not sure you can link to them then?
Considering the contents of the page seem to support their conclusion that the image was just another way to intentionally provoke others in the community I guess they figured the banned member had no intention of following the intention of the warning, but skirting it as close as possible. And now when that failed and they got banned they're instead trying to get people to rally to their support.
Not sure if that's a good argument, my father loves the smell of diesel exhaust for some reason, doesn't make it right to try to coax 'em into breathing it.
Gotta slap on more than a thick coat to go outside, and if you thought a hailstorm could get bad down here..
On linux there's the XDG_CACHE_HOME env variable for pip, but strangely enough there doesn't seem to be an windows equivalent.
Chili Oil Notes 3 years ago
Without the gravity you don't have the (same) resulting turbulence?
I have no clue how fast the temperature equalizes or how long it takes to scorch milk at different temperatures, but I heard about this as a kid and made the following thought experiment.
If I pour the milk first and then put in a single drop of tea, the milk at the surface of the drop would receive some flash heating, then equalize pretty fast to an average of their temperatures and then as the water turbulences away the resulting temperature would barely be above that of the original milk.
If I pour the tea first and put in a single drop of milk, the relative masses would equalize the temperature of the milk to pretty close to boiling, and it's gonna require a lot of drops before the milk cools down again.
Thus the time spent at higher temperature seems longer in the latter case. Assuming it matters for things like protein breakdown, and that those changes can affect the taste, then the question becomes: how slowly do we have to pour our tea for this to matter? I suspect I don't pour anywhere near slow enough.
In that case the line would've been constantly on top in the article, like the current year is below it, but it isn't. While high it intermingles with the other lines, and is nowhere as much an outlier.
Also 2014 seems to've been more ice due to record snowfall, which is easier to freeze than the regular freezing of the sea. Seems to be in line with climate models predicting more erratic weather. Good example of why they weren't worried about that, since it's expected, but worried about this, since it isn't.
we could soon make the climate do what we want
Can you expand on this? If it's geoengineering you're talking about we don't really need all the energy for it.
I guess you could see de-growth as efficiency, lower useless production/necessary production for a good life-ratio.
If we just reduced the resources needed to produce todays consumption, why wouldn't the savings just go to producing more of the same stuff? Ie. growth?
That little september bump? Compared to what seems to be a 5 month record gap?
Is the problem that much worse on twitter? Blocking ads I have no clue how they compare, but in Sweden it's by far Facebook and Instagram that are mentioned most frequently in the context of scam ads, and have been for such a long period that the National Fraud Department of the police thinks it might constitute criminal deliberate indifference.
They didn't say that though? And why would it be?
Is that a quote from the article? Can't find it
Searching for the reason of the "Shortage of air traffic controllers" led to
https://www.forbes.com/sites/suzannerowankelleher/2023/06/26...
which contained this quote:
---8<---
Industry insiders argue that many of the FAA’s challenges stem from Congress’s long-term failure to adequately fund the agency. The current shortage of air traffic controllers can be traced back to the 2013 United States budget sequestration, says Paul Rinaldi, a former 16-year air traffic controller at Washington Dulles International Airport and 12-year president of the National Air Traffic Controllers Association (NATCA). “They closed the air traffic control academy,” he explains. “They looked at reducing hours and many air traffic facilities. They looked at closing and cutting more than 100 federal contract towers, and stopped most modernization projects.”
---8<---
Which led me to this chain of events:
The budget sequestration ( https://en.wikipedia.org/wiki/2013_United_States_budget_sequ... ), which was a set of automatic spending cuts in the Budget Control Act of 2011 ( https://en.wikipedia.org/wiki/Budget_Control_Act_of_2011 ), which was implemented to end the 2011 US debt-ceiling crisis ( https://en.wikipedia.org/wiki/2011_United_States_debt-ceilin... ), which was the newly republican House of Representatives starting their now recurring series of chicken-races about the debt ceiling, which had risen exceptionally fast due to the US stuffing all the private sector debt on their balance sheet during the handling of the 2008 financial crisis.
With a 4090 nvidia-smi reports ~60-70% mem bandwidth usage while at 99% gpu usage, so that'd be 650-750GB/s. Considering how slow the inference is on the APU having 10% of the 4090 mem bandwidth maybe isn't that much of an issue?
edit: comment from the reddit thread:
LLM isn't all that great as it is primarily memory bandwidth bound, ie almost no difference from a CPU if your memory bw is mere 12/25Gb/s. SD needs far more compute for inference - APU with slow memory helps.
- https://old.reddit.com/r/Amd/comments/15t0lsm/i_turned_a_95_...