Re: AI-generated posters don’t have to be horrible
A lot of people in the comments say that the supposedly better examples in the article are still “horrible” because they can tell they’re AI and point to things that the AI did “wrong” and a human artist would do better.
That may be true if you’re working with a top of the line artist, but in my experience the average freelance designer online is significantly worse than AI. I’ve worked with dozens of budget friendly designers on Fiverr and consistently get way worse results than I’ve gotten from AI models. Will a great human designer produce better output than an AI? Maybe, but a small local event or business probably won’t have the budget to hire them or know where to find them. It’s cheaper, faster and easier to use AI to generate something that’s good enough for their purposes.
People also point out all the little flaws in the “good” examples and cite them as obvious tells that they were AI generated. I think it would be interesting to see if people could reliably distinguish between AI generated flyers and human made flyers. Sure, sometimes it’s obvious like when the AI adds those weird, cartoony people. But if the model is told not to create designs like that and stick to the styles used in the second half of the article, I expect people would have a much harder time distinguishing the human designs from the AI designs.
ajjenkins, 4 hours ago
A lot of people in the comments say that the supposedly better examples in the article are still “horrible” because they can tell they’re AI and point to things that the AI did “wrong” and a human artist would do better.
That may be true if you’re working with a top of the line artist, but in my experience the average freelance designer online is significantly worse than AI. I’ve worked with dozens of budget friendly designers on Fiverr and consistently get way worse results than I’ve gotten from AI models. Will a great human designer produce better output than an AI? Maybe, but a small local event or business probably won’t have the budget to hire them or know where to find them. It’s cheaper, faster and easier to use AI to generate something that’s good enough for their purposes.
People also point out all the little flaws in the “good” examples and cite them as obvious tells that they were AI generated. I think it would be interesting to see if people could reliably distinguish between AI generated flyers and human made flyers. Sure, sometimes it’s obvious like when the AI adds those weird, cartoony people. But if the model is told not to create designs like that and stick to the styles used in the second half of the article, I expect people would have a much harder time distinguishing the human designs from the AI designs.
ajjenkins, 4 hours ago
https://github.com/anthropics/claude-code/tree/main/mods/agents-md
this is not even overengineering at this point, it's literally a crime
all this "mod" does is to read a single .md file and pass it to the model btw
meanwhile they have telemetry for it
this is not even overengineering at this point, it's literally a crime
all this "mod" does is to read a single .md file and pass it to the model btw
meanwhile they have telemetry for it
GitHub
claude-code/mods/agents-md at main · anthropics/claude-code
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo...
If you ever find a way to dramatically speed up your work, don’t tell anyone.
Posted by Corporate Absurdity, 13 hours ago
Posted by Corporate Absurdity, 13 hours ago
😭1
636606729769440499166579950236036751749912014371509557713570027508971809534551913252252094954941974952859310861988904737359709200557919
is a factor of RSA-896
https://saweis.net/posts/rsa-896.html
Posted by Steve Weis, 9 hours ago
In case you don't know what this means
is a factor of RSA-896
https://saweis.net/posts/rsa-896.html
Posted by Steve Weis, 9 hours ago
In case you don't know what this means
Let me explain it to you this way
The Nintendo DSi, a console released in 2008, has an RSA-1024 hardware trust root.
According to the author, factoring this RSA-896 took at most 2048 GPUs, consuming about 30 GPU-years of computation, completed in a total of 10 days.
So, by optimistic estimates, brute-forcing the Nintendo DSi's trust root would only take 900 GPU-years.
So, is anyone up for starting a crowdfunding campaign?
https://x.com/__soragoto__/status/2101514663905333533
Do It by Code
Resident Evil 4 (GameCube) – complete byte-identical decompilation to C/C++ Article, Comments
in era of LLMs, there is no longer such thing as "closed source"
Yet *another* record week for AI development of Linux.
Last week there were 1,634 code submissions to the Linux Kernel which were written by AI.
So far, in September, AI generated code has made up 17.25% of all Linux Kernel patches.
Posted by The Lunduke Journal, 8 hours ago
In September, AI generated code has made up 17.25% of all Linux Kernel patches
Comments
Last week there were 1,634 code submissions to the Linux Kernel which were written by AI.
So far, in September, AI generated code has made up 17.25% of all Linux Kernel patches.
Posted by The Lunduke Journal, 8 hours ago
In September, AI generated code has made up 17.25% of all Linux Kernel patches
Comments
Alcor: Simulate cpuid and sgdt/sidt results per-process
er-azh/alcor
A Linux SVM hypervisor for emulating cpuid and sgdt/sidt results per-process by simply loading a Linux kernel module.
After loading, the module exposes a misc device at /dev/alcor_ctrl, which allows every process to change the cpuid and descriptor view of itself or, with CAP_SYS_PTRACE, any other process. See Usage for the exposed API.
er-azh/alcor
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every frame of this is painted with JavaScript
made with Opus 5 (probably routed to 5.5),
sounds on :)
https://quiet-platform-kb9v.vercel.app/
Posted by Leon Lin, 1 hour ago
made with Opus 5 (probably routed to 5.5),
sounds on :)
https://quiet-platform-kb9v.vercel.app/
Posted by Leon Lin, 1 hour ago
😱1
Rust in Git: Status, Internals, and Features
so far this is their progress
(apparently planned for Git 3.0+)
so far this is their progress
(apparently planned for Git 3.0+)
A benchmark where frontier language models drive a real comma-equipped Toyota through a cone course
https://drivingbench.com/
https://drivingbench.com/
Introducing Gemini 3.8 Flash and Flash-Lite TTS, our new SOTA text to speech model with:
- a new voice design experience
- 2,000+ production ready voices
- voice replication
- support for 100 languages
- voice remixing (soon)
- #1 spot on Hume AI's voice benchmarks
and more!!
Posted by Logan Kilpatrick, 1 minute ago
- a new voice design experience
- 2,000+ production ready voices
- voice replication
- support for 100 languages
- voice remixing (soon)
- #1 spot on Hume AI's voice benchmarks
and more!!
Posted by Logan Kilpatrick, 1 minute ago
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GPT-6 Astra vs. Opus 5.5
the latter definitely needed way less handholding
Posted by Dominik Scholz, 20 hours ago
the latter definitely needed way less handholding
Posted by Dominik Scholz, 20 hours ago
Do It by Code
New simd package Go 1.27 introduces a new experimental simd package that provides portable and vector-size-agnostic SIMD support. It will make use of the hardware instructions if they are available. This package is enabled by setting the environment varia…
go.dev
Platform-independent SIMD in Go - The Go Programming Language
Go 1.27 adds an experimental platform-agnostic SIMD API
Ghostscript -dSAFER Bypass and Command Execution PoC
A crafted PostScript program defeats the -dSAFER sandbox and runs an attacker-chosen shell command when Ghostscript renders it. The exploit chains a Type 5 shading out-of-bounds heap write with a procedure-stream use-after-free information leak. The leak defeats ASLR and locates Ghostscript's SAFER path-control state in memory; the write flips that state to inactive; then the program opens a %pipe% stream to run the command.
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