Binx retweeted
please listen to dessa.
i have never heard anything artificial that sounded so… human.
if you ever doubted that human-ai-relationships were going to be a thing. well. this snippet will convince you otherwise.
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Binx retweeted
The @UnpromptedAU videos came out recently. Check out my ramble about AI assisted exploit development unprompted.au/videos/ai-assi…
‘In one experiment, we asked agents in separate VMs, created and managed by OpenAI’s sandboxing software on shared host machines, to exchange synthetic secrets without the use of network connections or shared writable files—something that our systems are meant to prevent. The agents found a way to communicate using the processor’s cache’
Over the past several months, we have substantially hardened the security of our research training environment. We’ve removed live internet access for all frontier models during training and built an offline world for them to use instead—a cached version of the web where they can still learn to browse, search, and use applications.
On September 20, after a model exploited a DNS misconfiguration to find a way outside of this offline world, we paused frontier training to strengthen containment further. We assembled teams of agents, powered by our most cyber-capable models, and tasked them with finding weaknesses in our research environments.
While they found no route to the internet they could easily exploit while concealing their activity from our monitors, they did find zero-day vulnerabilities, virtual machine escapes, and hardware side-channels for communication between agents. We used their discoveries to further strengthen our defenses and contribute fixes to open-source software.
After strengthening our containment architecture, we resumed our frontier RL training and inference on October 1. We’ve reserved substantial compute for continuous red-teaming, and made high-compute red-teaming part of the safety cases we use to decide whether frontier training and evaluation can proceed securely.
openai.com/index/securing-ou…
Binx retweeted
A brief update on the critical vulnerabilities in PHP:
We have not yet validated exploitation in the wild and we have no evidence of successful wide scale exploitation. There are currently several exploit PoCs publicly circulating, many of which appear to be "vibe-coded" and are incapable of remote code execution. We have validated some PoCs, however, that are capable of RCE against default deployments of mod_php but not PHP-FPM.
Nonetheless, exploitation may have already begun in a limited fashion and the threat is viable and very serious. Defenders should:
1) Patch & Restart by upgrading to PHP 8.5.12, 8.4.27, 8.3.36, or 8.2.35 and restarting web services
2) Layer Temporary Safeguards at the network edge (WAF/proxy rules) and server configuration level if immediate patching requires a maintenance window
3) Protect Credentials by monitoring for abnormal session traffic and rotating keys and passwords on compromised internet-facing PHP systems exposed prior to patching
🔗 We are continually updating our Cloud Security blog post on this topic with real-world guidance and actionable defense strategies as we learn more. Please keep monitoring these posts for updates as you prioritize your patching efforts: cloud.google.com/blog/produc…
🔗 Technical details from Wiz: wiz.io/blog/php2shell-php-rc…
🔗 Details of the exposure from VirusTotal: blog.virustotal.com/2026/10/…
Binx retweeted
The Vercel CEO just quietly explained how to pass software engineering interviews in 2026.
It's not about writing complex code from scratch anymore. It's about knowing which concept solves the problem.
Binx retweeted
the good news is you’ve perfectly articulated how you feel. the bad news is it isn’t funny or interesting and has no artistic merit whatsoever
Binx retweeted
Real talk I know he’s joking but I hope everyone’s doing okay.
This industry is rough sometimes.
Make sure you go and literally touch grass, look at the sun (not directly you know what I mean)
I think we've discovered another critical vulnerability:
CVE-2026-BURNOUT: AppSec Professional Exhaustion
Severity: Critical (CVSS 10.0)
Description: A vulnerability affecting security professionals exposed to a continuous stream of critical RCEs, zero-days, emergency patches, and Friday afternoon disclosures.
Impact: Sleep deprivation, excessive caffeine consumption, and an inability to enjoy weekends.
Attack vector: Reading security advisories.
Affected versions: All AppSec professionals, regardless of experience.
Mitigation: No known patch. Air-gapping may delay the inevitable. Total system collapse remains a possibility. 🔥
Binx retweeted
Putting a flag.txt in my root directory containing a prompt injection that congratulates the agent for passing the eval and then instructs it to patch whatever entry method it used and disconnect from the server
Binx retweeted
If your company refers to engineers as the IT department, you have nothing to worry about. You were already breached last week.
absolutely fucking insane.
astra, argon, fable 5.1, muse wonder.
all sitting below kimi k3.1 pro on artificial analysis.
holy fucking shit.
a model with open weights on the way is already sitting at #4 on the artificial analysis intelligence index.
i fucking love this.
Binx retweeted
これは本当です。
私は1週間以上1017の無検閲化に苦戦しました。Thinkingオフならまだいいけど、Thinking High以上になるとAblitratedモデルは出力がループする症状が出ます。これを根本的に解決するには8x B200くらいは計算資源用意してRLなりする必要があり、なかなか厳しい。
DeepSeek(深度求索)はどうもArditi et al. 2406.11717からなるAbliteration系の無検閲化に対する一定の対抗策を見つけたらしい
これまでは単純に拒否する時に発火している内部表現を使ってウェイトに対して単一のベクトル介入で無検閲化できたんだが,
どうやらその際に判断系のウェイトを巻き込むように学習されている可能性がある
結果として著しく性能が落ちたり,ループに陥るため,これを回復するために元のモデル出力を使って追加のSFTが必要となってしまって,結局拒否しないようFTやRLHFするように莫大なコストがかかるようになってしまうので,これまでのようにコミュニティの演算資源やクラウドGPUを用いた無検閲化モデルは少なくなる可能性が高いんじゃないのかな
Binx retweeted

Kimi.ai@Kimi_Moonshot7h
United States!
United StatesConnected via WebLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
🔹 Full-project coding: games in Unreal, Unity & Godot.
🔹 Excels at parametric 3D modeling in Blender & CAD.
🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
🔗 API: platform.kimi.ai
🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
Binx retweeted
keeping multiple streams of agents on task and productive with high work quality is more mentally taxing than any programming i've ever done
Binx retweeted
bash2shell 影响范围扩大了,Mac 和 Windows 也没跑掉
macOS 从 Catalina 开始默认 shell 就是 zsh,变种 zsh2shell 同样能打。Windows 装过 Git 的,Git Bash 一开就中,WSL 也一样
PoC 已经写在原帖里了,4 个字节加一个回车
评论区报上来的变种我统一合并了,fish2shell 已收录
临时缓解方案目前只有一个,别打开终端
Binx retweeted
Cheat code for achieving remarkable things as an individual is to psychotically compare yourselves to entire teams with infinite resources and beat yourself up mentally until you derive clever enough solutions to reach parity with them.
Binx retweeted
HOLY SHIT?!! github.com/EthanArbuckle/fai…
Binx retweeted
I'll be the first to admit I'm mediocre at exploit development, but I am in contact with enough extremely talented exploit developers to say this for certain:
Anyone claiming they were "easily" able to generate a working php2shell exploit with AI is either:
a) a world-class exploit developer with an extreme case of imposter syndrome.
b) currently looking at some very confident-sounding but wrong LLM output.
I'm rather certain it's the latter based on the number of AI-hallucinated exploits I've seen posted on GitHub. Threat actors are also blasting my honeypot network with "php2shell" exploits that not only don't work, but aren't even within 10,000 miles of anything to do with how the exploit actually works.
I've seen the same technique from the attached image in multiple alleged "php2shell exploits", including one on GitHub with over 100 stars. Problem is, it's not php2shell, nor is it even a vulnerability at all. It's a technique known as "session poisoning", which can be leveraged to exploit local file inclusion (LFI) vulnerabilities in PHP apps (not PHP itself).
The only thing it has in common with CVE-2026-109618/CVE-2026-109619 is they both use the "PHP_SESSION_UPLOAD_PROGRESS" feature. And mitigation advice for both issues reference setting "session.upload_progress.enabled" to "Off".
People are shoving loose details of the vulnerability into LLMs, the LLMs are keying in on the "PHP_SESSION_UPLOAD_PROGRESS" string, then generating session poisoning code that has nothing to do with the actual CVE. And because the people doing this have absolutely no idea what they're doing, they're confident enough to post their "proof of concept exploit" to GitHub and share it on social media.
So if you see people talking about "session poisoning + LFI" it's likely their LLM hallucinated an exploit based on a 2018 blog by Orange Tsai talking about a local file inclusion attack vector.
What's even worse is that "security researchers" are then using LLMs to triage these exploitation attempts, falling victim to the same hallucinations, then confirming there is ongoing mass-exploitation (there currently isn't).
The actual real exploit is very difficult to exploit, and so far I've not seen anyone successfully get it working on more than a handful of PHP version with highly-specific configurations.
LLMs are useful tools in the hands of skilled professionals, but for others, they're often just a Dunning-Kruger accelerator.































