Founder of $BUBBLES ecosystem (3k+ MAU), and all related utilities. Full-stack AI Developer | Contractor - https://nitter.cf/t.co/BNoFI7ifvv
XRPL
Joined February 2021
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Hey @RippleXDev,
I'm building out a Bubble Map feature native to XRPL, under the name of @XRPLMemeBubbles, and I'm developing everything all by myself. I've applied for an XRPL Grant yesterday too!
The app is capable of taking snapshots of IOUs, and perform deep analysis on top 25 holders (it's 25 due to public node usage & rate limits). This is going to bring further transparency into XRPL for average joe, and make it easier to expose bad actors.
I want to turn this into a full-forensic tool, but I need help accessing full history data faster to make it scalable. I got my own Clio node at home, but it can only access 2 week-old ledger history.
The app is capable of revealing patterns that would take too much effort on @xrpscan or @bithomp.
Can I sort out a deal with you to scale my project further? I need assistance, and sort of insight is greatly appreciated.
With love and respect from a young dev.
Check out my project:
- xrplmemebubbles.com/
xrp_beast retweeted
Background subagents in Claude Code now use less of your usage limit.
A running subagent updates its status line every 30 seconds, and each update used to re-read its whole conversation. Now Haiku 5.5 writes it from short notes instead, so each update costs about 99% less.
xrp_beast retweeted
October was a big month for Claude Code 🍁
We shipped mods, made the desktop app better at running lots of sessions side by side, gave you more insight into where your usage goes, and plenty more. Here's a recap!
xrp_beast retweeted
Mirad las respuestas, internet ha fallecido
DESCARGAR CUALQUIER COSA DE INTERNET ACABA DE VOLVERSE ABSURDAMENTE FÁCIL
alguien publicó una herramienta open source que descarga vídeos, cursos enteros y archivos de prácticamente cualquier web.
solo pegas el enlace y ya está.
sin anuncios. sin límites. sin extensiones. sin complicaciones.
se llama OmniGet.
os dejo el repo abajo 👇
Readers added context they thought people might want to know
! Cuidado, tiene 3 alertas post analisis en virustotal.com !
virustotal.com/gui/file/e3078…
xrp_beast retweeted
Your Harness. You Define It.
Meet Creator Mode in DeepSeek Harness.
Turn ideas into plugins that you can use, from a design workspace to a sandbox game or a 3D LLM visualizer.
What will you create?
xrp_beast retweeted
I need to hire this genius.
有人发现了一种非常离谱的 JavaScript 混淆技术：通过在代码里塞入大量生物武器、毒药和致死剂量相关的函数名，让 AI 因为安全限制而拒绝分析代码。
安全研究员 veritas 在分析浏览器指纹脚本时，发现一段来自 ServicePipe 相关域名的 JavaScript，里面充斥着极其诡异的函数名：
computeRicinLethalDosageForWaterSupply
calculateDeadlyLethalSuicideAspirinDosage
光看名字，仿佛在研究生化武器。但实际上，这段代码只是在收集浏览器指纹，包括 User-Agent、GPU、Canvas 等信息。
研究员怀疑，这些名字是开发者故意设置的陷阱，专门用来阻止 AI 辅助逆向工程。
于是他做了个实验：
• Astra：拒绝分析
• Astra + Daybreak Blue：仍然拒绝
• GLM-5.3：成功分析
这就有意思了。
传统代码混淆是通过复杂控制流、加密字符串、无意义变量名，让人类和工具难以理解代码。
而这种新思路，直接瞄准了大模型的安全机制。
代码本身可能完全无害，但只要在函数名里塞进足够多的危险词汇，部分 AI 就可能主动放弃分析。
更讽刺的是，模型越严格遵守某些安全规则，面对这种混淆时反而可能越容易受到干扰。
当然，目前还没有证据证明开发者一定是故意这样设计，也不能说明这种方法对所有模型都有效。
但它揭示了一个值得关注的趋势：随着越来越多的逆向工程依赖 AI，未来的代码混淆技术可能不再只针对编译器、反编译器和人类研究员，还会专门针对大模型的安全判断机制。
以前是让代码难以理解，现在甚至可以尝试让 AI 不敢理解。
xrp_beast retweeted
Ripple is closely monitoring reports of a potential exploit involving Binance and its attackers’ RLUSD holdings and we are actively freezing affected funds. We’re coordinating with relevant parties and stand ready to support any investigation and appropriate action to keep users protected.
xrp_beast retweeted
Day 25/
We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today.
We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage.
And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
xrp_beast retweeted
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence.
> 6 model instances, across text, audio, vision, and omni modalities, generative and decision models.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding
> 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages.
> 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language.
> 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input.
> fine-tune on 1 GPU.
> a new tri-hybrid architecture
> architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs.
> 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters.
> 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒
Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device.
1/ 🧵
xrp_beast retweeted
Meet NVIDIA Nemotron 3.5 Transcribe 🎙️
An open-weight, promptable 30B MoE model with ~4B active parameters that brings transcription in 40 languages, speaker attribution, translation, contextual prompting and audio understanding into one checkpoint.
Watch it keep track of who said what when everyone’s talking at once.
1/ 🧵
xrp_beast retweeted
We have released Zero Breach Toolkit, a free open sourced tool capable of detecting over 12,100 traces of Israeli & other spyware on your devices. It works on Windows, Linux, Mac, Android and Iphones.
You can download it here: github.com/interplains/Zero-…
Inside the folder with the tools run this command: python -X utf8 scan/zero-breach-toolkit.py
It never writes to disk, never connects to the internet, or ask for admin perms. It takes around 10-15 minutes to run depending on the device.
This project is fully open source, so feel free to take the code and use it to create your own tools.
If you find some spyware on your device, consider sending it to us via telegram. Leave us a star on GitHub if the tool helped you.
Follow our backups: @ZionismExposedx
@IsraelExposedAr
God bless
xrp_beast retweeted
@XRP Ledger Privacy is the alpha !!!
It's coming through the door first with XLS-96 currently up for voting, for transfer amount privacy but then the journey is:
- Private accounts (who paid who not visible)
- Private Lending on XRP
- Private DEX trading on XRP 😳
All of this always with selective disclosure capabilities so institutions can utilize confidentiality/privacy without violating their compliance!
@aanchalmalhotre absolutely crushing it on the SWELL stage, showcasing the exciting research initiatives underway for XRPL! 👏🔥
ALT SWELL XRPL RESEARCH
xrp_beast retweeted
Our last challenge in the Anthropic x Adaptyv Protein Design Competition is about immunotherapy, one of the most important ways of treating cancer.
Immunotherapy helps the immune system attack cancer cells, but distinguishing them from healthy cells isn't always easy. In some cancers, the difference can be as subtle as a single amino acid in a small protein fragment.
That's the case with KRAS, a protein that works like a growth switch in our cells. In many cancers, a mutation leaves the switch stuck on, and the cell keeps multiplying itself and grows into a tumor.
In Challenge 5, you need to design a binder that sticks to the mutated piece of KRAS, but not to the healthy version, so that the immune system can find and attack the cancer cells.
The deadline to submit protein designs for this challenge is November 8. Then, we'll pick the best designs and test them in our lab.