Tiberium

10 ms·

1. 181.▲
   by Tiberium 4mo ago

   For anyone curious to know how this will fare against Macbooks, at least in CPU perf: DGX Spark has the exact same GPU and CPU as the top RTX Spark laptops will, so you can just directly compare from that. Of course, DGX Spark is a miniPC,
2. 182.▲
   by Tiberium 4mo ago

   It won't, the top tier RTX Spark has the same exact CPU and GPU as DGX Spark, so you can check DGX Spark CPU benchmarks to see how it fares. Spoiler: it's about M3 Max level. And they're only coming this fall.
3. 183.▲
   by Tiberium 5mo ago

   Reposting some of the (likely) bad commits with issues open against them, just to show that this isn't a one-off: - https://github.com/RsyncProject/rsync/commit/4fa7156ccdb2ad3... : https://git
4. 184.▲
   by Tiberium 5mo ago

   EDIT: posted on top, see https://news.ycombinator.com/item?id=48334270
5. 185.▲
   by Tiberium 5mo ago

   Currently there are 130 Claude-coauthored commits, and the maintainer seems to not be engaging with any of the recent issues and just pushing more of the "security in depth" fixes that are breaking real features for people.
6. 186.▲
   by Tiberium 5mo ago

   Amazing benchmarks! > Dimensions: Height 490mm, Width 206mm, Depth 445mm > Flow Rate: Min < 3 litres per hr, Max 55 litres per min. > Water Pressure: Min 1 bar, Max 8 bar* > Regeneration Time: 12 mins approx > Water 17 lit
7. 187.▲
   by Tiberium 5mo ago

   ChatGPT (the setting is shared with Codex) and Claude (shared with Claude Code) also have sharing enabled by default, so why aren't they cheaper?
8. 188.▲
   by Tiberium 5mo ago

   Musl is much less optimized than glibc, random example: https://andygrove.io/2020/05/why-musl-extremely-slow/
9. 189.▲
   by Tiberium 5mo ago

   Supporting evidence isn't what makes Pangram mark something as AI-generated, though. And I did call out that in my post specifically. But the post is still 100% generated, it has a distinct Claude-adjacent LLM style. Some of the extrem
10. 190.▲
    by Tiberium 5mo ago

    This article is completely AI-generated, anyone who reads LLM output often can confirm that. And Pangram confirms it as well. It's one of the more reliable LLM detectors and has an extremely low false positive rate, although in this ca
11. 191.▲
    by Tiberium 5mo ago

    Why post this AI-generated article? Just to ragebait?
12. 192.▲
    Linux LPE via GRO managed-frag UAF (io_uring SEND_ZC and veth)(gist.github.com)

    3 points by Tiberium 5mo ago|0 comments
13. 193.▲
    DeepSeek makes the V4 Pro price discount permanent(api-docs.deepseek.com)

    621 points by Tiberium 5mo ago|549 comments
14. 194.▲
    DeepSeek makes the V4 Pro price discount permanent(api-docs.deepseek.com)

    1 points by Tiberium 5mo ago|1 comments
15. 195.▲
    by Tiberium 5mo ago

    It's not upscaling for NB2, 4K outputs are very different from 1K, and output tokens count is also different.
16. 196.▲
    by Tiberium 5mo ago

    I mostly agree about the justification in the repo being wrong, but wanted to engage about this point: > Image generators cannot insert watermarks into things they did not generate It's actually very easy to take a real image, ask G
17. 197.▲
    by Tiberium 5mo ago

    This is a bit misleading as for Gemini it only properly removes the visible watermark. To remove SynthID it has to regenerate the image at low noise with SDXL, which will likely destroy a lot of small details, plus won't work for highe
18. 198.▲
    by Tiberium 5mo ago

    I still don't think there's a single GitHub repo that actually removes real SynthID watermarks from Nano Banana 2/NBPro outputs. Most of them are just some research projects that haven't achieved this. The only methods
19. 199.▲
    by Tiberium 5mo ago

    Please delete/edit your AI-written and factually wrong post.
20. 200.▲
    by Tiberium 5mo ago

    Is this just a reinvented humanhash?
21. 201.▲
    by Tiberium 5mo ago

    What do you mean by that? It seems like there's Ruby in the packages: https://depot.haiku-os.org/#!/pkg/ruby/haikuports/haikuports...
22. 202.▲
    by Tiberium 5mo ago

    2B2T really has an extremely interesting and long history, and some of the most interesting exploits/security vulnerabilities found just for it, for example https://2b2t.miraheze.org/wiki/Nocom where the attackers
23. 203.▲
    by Tiberium 5mo ago

    I did mention that you could use ~60 $200 Codex accounts to emulate his workflow without /fast, or 2.5x that if you used /fast. Not $1.3M
24. 204.▲
    by Tiberium 5mo ago

    This is quite a misleading title because this is the raw API cost, but he (obviously) has unlimited usage as an OpenAI employee. Moreover, if you use e.g. the $200 Codex sub, you get about ~$5k-$6k monthly API usage if you spend every week
25. 205.▲
    QEMUtiny - QEMU escape vulnerability if cxl is used(github.com)

    8 points by Tiberium 5mo ago|0 comments
26. 206.▲
    Logic bug in the Linux kernel's __ptrace_may_access() function (LPE)(openwall.com)

    2 points by Tiberium 5mo ago|0 comments
27. 207.▲
    New Linux LPE, 5.10 and above (ptrace_may_access mm-NULL + pidfd_getfd)(github.com)

    42 points by Tiberium 5mo ago|1 comments
28. 208.▲
    by Tiberium 5mo ago

    Fix commit: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/lin...
29. 209.▲
    by Tiberium 5mo ago

    Fake writing: Claude wrote 10 paragraphs instead of import human https://www.pangram.com/history/dee030c0-0362-43d0-8fbd-bbab...
30. 210.▲
    by Tiberium 5mo ago

    Also it's very funny that they say "No AI training" and "Off big tech" on the home page, yet the landing page and the blog post are clearly entirely LLM-written Edit: https://lab1908.com/ "Lab