HN user
Infos: https://oracleoftime.com/how-to-buy-new-swatch-x-omega-moons...
ESTA = "Electronic Swatch Timepiece Application", as pun/mockery of the US "Electronic System for Travel Authorization".
For the ones that don't know "nmon", have a look at it as well! (press "h" to see the list of available monitors - press it again to make it go away, press "q" to quit)
https://nmon.sourceforge.io/pmwiki.php
Especially disk throughput and I/O (keys "d" & "D") can be very useful.
I have trouble getting my computers to copy data between each other anywhere near the theoretical limit for a 1 Gbps NIC, despite being connected through only a single switch.
Maybe your LAN cables have deteriorated?
Reaching 100 MiB/s should be easy peasy for a PC; in my case (2 10Gbps switches) by using nvme SSDs I reach almost 950 MiB/s and with 4x raidz1 HDDs I reach 450-650 MiB/s.
Until a few years ago I was smoking in my flat and often I had to change lan cables (whatever's in the smoke was sticking to the connectors)
Synchronously updated materialized views...
Oh yes, I'd love them too (if you're referring to, in Oracle slang, "...update on commit") - and it would be cool to have as well the option for a lazy update ("on demand" by taking into consideration only the records that have been changed since the last refresh, to handle multiple updates in a single pass - not sure how Oracle can achieve that technically...). This would be in my opinion a fantastic added functionality compared to basically all other (OLTP?) opensource DBs.
And: I'm really curious about the "OrioleDB" project... ( https://github.com/orioledb/orioledb/releases ) as a few years ago I was struggling a lot with "vacuum" of a kind-of-temporary table that had quite high amounts of continuous random inserts & deletes (problem solved by accumulating more changes in RAM before flushing them to the table therefore increasing amount of rows changed per "page", but I had to sweat a lot to find a good balance...).
In my case it somehow depends a lot on the task being performed... .
E.g. when doing text transcription/OCR from images (Qwen 3.6 27B Q4_K_M by Bartowski) with a context size of ~50k I get a pp of ~460 tokens per second and a generation ranging from 35 to 45 tokens per second (using "--spec-type draft-mtp --spec-draft-n-max 2" currently with llama.cpp b6548).
On the other hand when handling code (Qwen 3.6 27B Q5_K_M by Bartowski) with a context size of 128k I get a pp ranging between 500 to 1500 tokens per second and a generation between 25 and 40 tokens per second (using in this case as well "--spec-type draft-mtp --spec-draft-n-max 2" currently with llama.cpp b6548).
Anyway in theory with "--split-mode layer" I think that it's anyway the slowest card that drives the overall performance (I do see in "nvtop" that usually the 5070 is ~25% active, the 5060 ~50% and the 3060 ~75%).
I always run just one model at once, I switch between them depending on what I do (e.g. Qwen3.6 27B Q5_K_M by Bartowski when programming with "OpenHands" and when doing OCR text transcription and transformation, Gemma4 31B-it Q5_K_M by Bartowski when chatting in Open WebUI doing general tasks).
I agree. To run an acceptable model (e.g. Qwen/Qwen3.6-27B or google/gemma-4-31B) with a good quantization (minimum Q5) with a good context size (min 64k) you could buy 2 or even 3 GTX 5060 16GiB VRAM for ~550$ each. Fyi the much faster MoE models were useless for my usecases - e.g not able to correctly identify me/I/you, endless thinking loops, etc.
I'm currently running those models using an RTX 5070 12GiB + RTX 5060 16GiB + RTX 3060 12GiB with a 96k context size with MTP/speculative decoding and I'm quite happy (the 5070 is about 4x faster than the 3060, the 5060 is inbetween them so about 2x faster than a 3060).
It's the AI. Everything gets answered (somehow), no direct questions need to be asked anymore.
(you're right - I was wondering the same thing 1h ago :o) )
This...
Right now the biggest threat to their IPO's is that people realize that local models are good enough for whatever they're peddling...
...plus the recent price increases by AI companies, made me actually think the opposite: that there might be another additional "run" for memory and/or GPUs.
Therefore, yesterday I decided to order an additional RTX 5060 with 16 GiB VRAM for the ~500$ that I saved during the last months (to be added to the RTX 5070 12 GiB that I bought last year to play games in 4k + my old RTX 3060 12 GiB which I recycled a few months ago after noticing how nice it is to run llama.cpp locally without having to worry about subscription costs).
The original 24 GiB VRAM were actually quite enough for some of the stuff that I do (e.g. transcribe text of image scans of old magazines, coding with Aider, etc - I usually use Q5_K_M quantizations of Qwen & Gemma by Bartowski as lower ones delivered sometimes weird results and/or looped forever in "thinking"-mode), but I guess that with 40 GiB I should be bullet-proof for my pessimistic view of our future :o)
damn you're right, thx
So if I understand correctly 3 modules are involved:
- esp4 (kernel config "CONFIG_AF_RXRPC")
- esp6 (kernel config "CONFIG_INET_ESP")
- rxrpc (kernel config "CONFIG_INET6_ESP")
Is this correct?
Thanks a lot!!!
I was running in Gentoo "6.18.18" (amd64) and the exploit worked (and all other shells which I PREVIOUSLY opened could then just execute "su -" without password to become "root") -> doing temporarily a "modprobe -r algif_aead" on-the-fly did not fix it as I was still able to swap to "root" from the unprivileged user by executing just "su -".
"6.18.25" fixed it (module "algif_aead" still running).
- Maybe older Kernel versions that don't contain the fix should be blacklisted?
- FYI in Gentoo I had to recompile "sys-fs/zfs-kmod" after the minor kernel upgrade (I initially skipped it, but after rebooting with the new kernel I could not mount my raidz1) -> the same might be needed for other external modules.
Using X (at least in this context?) is weird.
I downloaded Ollama ( https://github.com/ollama/ollama/releases ) and experimented with a few Qwen models ( https://huggingface.co/Qwen/collections ).
My performance when using an RTX 5070 12GiB VRAM, Ryzen 7 9700X 8 cores CPU, 32GiB DDR5 6000MT (2 sticks):
- "qwen2.5:7b": ~128 tokens/second (this model fits 100% in the VRAM).
- "qwen2.5:32b": ~4.6 tokens/second.
- "qwen3:30b-a3b": ~42 tokens/second (this is a MoE model with multiple specialized "brains") (this uses all 12GiB VRAM + 9GiB system RAM, but the GPU usage during tests is only ~25%).
- qwen3.5:35b-a3b: ~17 tokens/second, but it's highly unstable and crashes -> currently not usable for me.
I would therefore deduce that the most important thing is the amount of VRAM and that performance would be similar even when using an older GPU (e.g. an RTX 3060 with as well 12GiB RAM)?
Performance without a GPU, tested by using a Ryzen 9 5950X 16 cores CPU, 128GiB DDR4 3200 MT:
- "qwen2.5:7b": ~9 tokens/second
- "qwen3:32b": ~2 tokens/second
- "qwen3:30b-a3b": ~16 tokens/secondWhat about pre-December_2022? I cannot imagine that just a handful were imported.
The main reason for this is lack of competition for DB in Germany
Cannot be - there is no competition in Switzerland, but things run pretty smoothly -> in the case of Germany I'd rather say: "lack of oversight, controls, 'konsequent zu sein'" -> in the case of Germany's DB I think that nobody at all levels gives a *hit about its problems.
I interpreted your post like what "krupan" posted in the separate sub-thread ("This is a much tighter circle than any of us should be comfortable with"), but maybe others interpreted it differently (the words of your post are quite generic...). Cheers :o)
To fix stuttering I had to disable compositing in the window manager (Xfce on Linux Mint, nVidia proprietary with AMD CPU).
Fully agree - such a great movie: absolutely flowing, entertaining, fantastic characters, nice colors. That together with "Three days of the Condor" is what I immediately though of when I heard the news, but so far only one of the newspapers/sites I read has mentioned both of them..., weird :o| Am I just getting too old (respectively, are articles being written by too junior people?)?
Same here - fail2ban then adds the IP to my nftables fw
I would presume Google still has all this data. ...
Maybe - I guess that they must have served that "cached" content from DB-records that had it all saved directly (URL X has contents Y => basically a "mirror" of the terms that they indexed) => not having to store that "mirror" (only the search index) might save quite a lot of storage space (and I/O and CPU to decompress it, as users won't be requesting it anymore) => all in all that might save quite a lot of infrastructure costs $$$.
Could this be an advantage that Google can use to train their models on but others won't have access?
Maybe (if they decided to just get rid of the I/O related to the user requests), but on the other hand I don't know if previously any "Google-consumer" was ever able to perform mass-downloads of Google's "cached" data - could that be done without being banned by Google's webpage (or API)?
I fully agree with you & upstream - on the other hand there are specific (~local) shops which I use often and I'm 99% sure that I would not need the Credit Card (CC) protection with them, so having a CC-alternative for those cases is nice.
General infos/guides: https://docs.hetzner.com/storage/object-storage
On the beta launch date, Object Storage will be available in Falkenstein (fsn1) only. We plan to add Nuremberg (nbg1) next. After the beta test, Object Storage will be available in all our European locations.
Didn't find pricing infos... .
In the end, this really comes down to whether you value freedom or state protection more...
This is again a forced binary "and/or"-decision, without anything inbetween.
It doesn't have to be like that - both can coexist, if both terms are not extreme.
(disclosure: my post is not related in any way to Israel nor Palestine and I'm personally not linked in/directly to anything related to Israel nor Palestine and this post is not related to the current conflict)
I hate the current general trend pushing a position of an either absolute "yes/no" for any theme...
Is something like this unexpected? I personally never ever thought so (which is the reason why I never ever even considered running a TOR exit node).
As much as I can respect the idealism about privacy and liberty etc..., I could not ignore the fact that any "really!!!" bad actor could use the same infrastructure to avoid investigation/prosecution, therefore I did not want to provide indirectly any help.
I feel law enforcement realizes this is a big weakness they can target since a lot of Tor exit operators are individuals with not a lot of resources to fight them. They can use the legal system to scare operators into shutting down.
On one hand I admit that that might be the case, on the other hand even government organizations/departments/agencies can be "local" and scattered (e.g. similar IT departments for each "canton" in Switzerland) and not have huge amounts of resources/knowledge to track/identify perpetrators of all ongoing (sophisticated?) IT crimes => somebody somewhere might see the same IP involved in a lot of "bad" stuff not realizing it's just a TOR node.
I hate the current general trend pushing a position of an either absolute "yes/no" for any theme, including this one (of encryption for privacy/etc vs. crime).
In my opinion it's obvious that the current situation of solutions is in general bad: too much pressure on services that provide privacy because it's too easy for crime to misuse them :o(
That means your Pixel 8 and Pixel 8 Pro will be supported all the way into 2030
https://store.google.com/intl/en_uk/ideas/articles/newest-pi...
My recommendation specifically about Amazon: don't webcrawl it (you'd need direct help from Amazon itself to get their data in some other way, some direct and consistent data interface).
Reason:
Wrote about ~10 years ago a crawler to discover books and to scan all of the books' ratings (the "stars" given to each book by a reviewer). It was just a hobby project.
At the beginning everything worked well, but after some weeks the layout of the pages and/or the technical IDs behind them started changing in an inconsistent way (some pages were still ok, others were slightly different, others were completely different).
My initial code was (surprisingly, hehe) excellent (nicely structured, flow & tasks of sections easy to understand, etc...), then I kept adding if/else conditions to the crawler at multiple places to make it able to cope with the new layouts/changes, after a couple of months I could hardly understand anything out of it (main point: I never knew if I could delete some portions as 1) it was garbled and 2) I didn't know if Amazon would present again old pages which would make old code relevant again).
Btw. (not directly relevant for the question) the organization of books was (is?) as well a mess:
the same book can be sold with multiple (often slightly, sometimes huge) different titles and/or authors (if more than 1 author wrote it) => ultimate confusion => at that time I fixed that by comparing the names of reviewers and their "stars": if book X had about 90% of the same reviewers AND same "stars" as book Y (data presented by Amazon can slightly change from query to query) then they were mooost probably the same thing (without comparing at all the title nor ISIN - from time to time titles of different versions of the same book were very different, even a human would have been very challenged to identify them as being the same thing, but based on what I saw Amazon knows very well what-is-what therefore even a book-version that sold 0 copies gets all reviews that got its twin book-version that previously sold 10000000 copies).
A honest "Good luck!" with your startup :o)
Gentoo: update to "net-misc/openssh-9.7_p1-r6" available since ~Mon 1.Jul.2024.
GLSA 202407-09: https://glsa.gentoo.org/glsa/202407-09
Package metadata & log: https://packages.gentoo.org/packages/net-misc/openssh
My favourite flower, which I have just discovered: Phacelia (blue/violet color) ( https://en.wikipedia.org/wiki/Phacelia_tanacetifolia )
1) Seeds easy to find in most stores.
2) Each strand has an array of flowers which bloom serially => quite long blooming timespan (and damage by bad weather is limited if it affected only the flowers).
3) Bumblebees absolutely love them (this year I put exclusively Phacelia seeds into 1 of my 2 big pots on the balcony, with max seed density, and often there were up to 10 bumblebees at once per pot checking them), and I absolutely love bumblebees (they look clumsy, they're kind of funny + they absolutely ignore me, respectively when they happen to fly in my direction and they notice me they take a turn as soon as their flight envelope allows them to)
4) This might be just random or caused by some other factor like weather/neighbours/whatever, anyway:
since I planted this year Phacelia flowers and the bumblebees started coming I have hardly seen any wasps nor especially hornets (I've seen twice a hornet flying by, but it took a large curve from my balcony - during the same timespan at the other sides of my flat I noticed four times hornets investigating in front of the windows). Last year (without Phacelia/bumblebees) I had a lot more problems with wasps&hornets => maybe wasps & hornets noticed the bumblebees and thought "ah, already taken/busy!" and therefore marked my balcony as a no-go zone?
EDIT:
I recommend the app "PlantNet" for Android ( https://play.google.com/store/apps/dev?id=829216199869931637... ) & iOS ( https://apps.apple.com/ch/app/plantnet/id600547573 ): take a picture of your plant/flower and you get the name.