ChaitanyaKrishna

Its all about my thought process.

[OrcaRouter 🐳 @OrcaRouter]

We just released our uncensored weights for Qwen3.8 27B FP8, designed for AI Red Teaming and security research, enjoy!
https://t.co/SyuBfYLhtO

[ChaitanyaKrishna @anantharapu]

@JioCare when will you respond ????

[ChaitanyaKrishna @anantharapu]

@JioCare @JioCare @reliancejio Your JioAirFiber service is fucking pathetic. I paid 1 YEAR IN ADVANCE, suffered repeated connectivity issues, asked for cancellation and a refund, and your support team fucking GHOSTED me.

[ChaitanyaKrishna @anantharapu]

@JioCare What kind of bullshit customer service is this? Stop hiding behind useless support tickets. CANCEL MY CONNECTION AND REFUND MY MONEY.

Fixed Line: 086-83354602

[Shen Sean Chen @ShenSeanChen]

𝗜 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲𝗱 𝗺𝘆 𝗹𝗼𝗰𝗮𝗹 𝗔𝗜 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁: 𝗔𝗴𝗲𝗻𝘁 𝗛𝗮𝗿𝗻𝗲𝘀𝘀 & 𝗟𝗼𝗼𝗽 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗻 𝗿𝗲𝗮𝗹 𝗰𝗼𝗱𝗲.

Everything in real code you can read in an afternoon: Harness, Loop Engineering, Memory, Eval, Tracing.

100% local on your laptop.

💻 Github Repo: https://t.co/h1AyRL8jzR
☕️ Buy me a coffee: https://t.co/QHLDvxrKzs

The whole system is one loop:
message in → retrieval gate → agent run → tools fire → trace → eval → memory saved → skills grow

- The loop is ~95 lines of plain Python
- Your memory is one SQLite file. Open it. It's yours.
- Evals built in: deterministic + LLM-as-judge, with a release gate
- Telegram gateway, voice wake word, Apple Calendar tools

In the video it books the World Cup QF on my calendar, remembers who my friends are, and answers me on Telegram.

Clone it, star it, break it, PR it. Repo + 20-min walkthrough in the first reply 👇

Watch it, then save the architecture diagram below. 🔖

You Can Build Anything. You Can Learn Anything. 💪

[Aravind @aravind]

This piece by @sagorika_s explains exactly why so many, especially the new middle-class, are susceptible to psyops and how adversaries weaponize psychology and "Brandolini's principle" to program the masses to cause anarchy. And how do we counter it. Do read👇

[Crazy Moments @Crazymoments01]

The crocodile picked the wrong target.

[Santiago @svpino]

Claude Code keeps quitting halfway through a migration I want to finish.

It finishes with a few files, but then it eats up its context window and hits a usage limit. It's not easy to pick the process back up from where it left off.

The thing with Claude Code and Codex: they are meant to run one job at a time. Everything the agent knows lives in a single running session, and there's a limit to how much it can hold.

Small tasks fit fine. Big tasks that split into twenty smaller tasks do not.

I've seen a few tools that let agents hand off work to helper agents, but those agents usually complete one task, return the result, and stop. They can't create helper agents of their own.

If your problem benefits from three or four layers, you are out of luck.

Fractal is an open-source CLI that solves this.

Fractal will drive Claude Code or Codex for you. You point it at a job, and it runs the agents, allowing each agent to hand off work to more agents as many levels down as the job needs.

This makes a huge difference!

1. For the migration, Fractal broke the job into a tree
2. A top agent split the work into a few big chunks
3. Each chunk became its own agent
4. If a chunk was too big, that agent split it again
5. Each agent planned, executed, reviewed, and committed the work
6. They repeated the cycle until the work was done
7. At that point, they moved their work back up the tree
8. At the end, all of the completed pieces were merged into the root job

Each agent gets its own git worktree and commits its changes as it goes, so multiple agents can work without overwriting each other.

This makes the process resumable: you can stop Fractal and start it again later without losing the work the agents have already completed.

By the way, you can set a strict budget for the agents. You can cap how deep the tree can go, how many children each agent can create, how many iterations it can run, and how long it can keep working.

All of this runs on your laptop. Nothing is hosted.

See GitHub Repository below.

[Nicolas Krassas @Dinosn]

The world's first agentic reverse engineer. https://t.co/LnNchExtHA

[ChaitanyaKrishna @anantharapu]

@PiramalFinance your team has kept call on hold for more than 37 mins

Reference Number: 19072410

[Md Ismail Šojal 🕷️ @0x0SojalSec]

A 1.5B security model that runs locally serious Blue/Red team reasoning on 1.2 GB to 4GB RAM with CPU.

Fine-tuned from DeepSeek-R1-Distill-Qwen-1.5B using,

covering :
- Prompt injection & tool poisoning detection
- Ransomware incident response playbooks
- MITRE ATT&CK mapping + detection rule generation
- CVE/CWE reasoning
- Financial fraud pattern analysis

chain-of-thought +135% reasoning score, 100% <think> block activation, and practical coverage of threats all in a 1.5B model that fits on weak hardware.

Built for pentesters, detection engineers, and security researchers who need offline capability.

[Michigan TypeScript @MiTypeScript]

~60% Fable cost cut by transparently turning the code into an image and having the model OCR it. WILD idea. also hilarious. https://t.co/c318SgHqBK

[Deliriumm @0xDeliriumm]

ANTHROPIC'S LEAD ENGINEER MAKING $2.2M/YEAR LEAKED THE COMPANY'S INTERNAL OBSIDIAN BRAIN - AND GOT FIRED THE SAME DAY

00:07 a live neural network with 21 inputs, 10+ hidden layers, ReLU activation - thousands of connections firing in real time as the system processes every decision

first layer 64 neurons, second 37, then 22 - all the way to outputs - this is not a diagram, this is the living brain of the company thinking right now

8,893 nodes, 4,729 links - a knowledge graph so dense it looks like a galaxy when you zoom out

Marginalia Collection, Glossary Backbone, Master Index with 9,000+ documents - every cluster its own universe of connected knowledge

the company building the most powerful AI in the world uses an Obsidian graph to manage its own innovations - and now it's all public

he made $2.2M/year to know this - you got it for fre

[📕「マルウエアの教科書」著者 | 吉川孝志 | 増補改訂版🌟発売中 @MalwareBibleJP]

EDR4製品（SentinelOne・Cortex-XDR・CrowdStrike・Sophos）の実バイナリからリバースエンジニアリングでML分類モデル・YARAルール・振る舞い検知スクリプトを抽出し、ベンダーの検知ロジックそのもので判定結果をローカル再現するエミュレーションエンジン「heavener」が公開されています。ペイロードの本番投入前に、どの検知ルールにヒットするかを実際のEDRなしで事前検証できる構成。

【要点の整理】

・SentinelOneモジュールはLuaJITランタイムにベンダー実ファイルの振る舞いスクリプト203本をロードし、イベントクラス方式とOSフィルタパイプライン（コールバック137本）の二重ディスパッチで検知を再現。静的スキャンはXGBoostモデル8本＋YARAで判定

・Cortex-XDRモジュールはNASA由来のCLIPSエキスパートシステムに7,967本のルールをロードし、ダイレクトシステムコール・スタックスプーフ・EDRアンフック検知をバイトレベルで再現。リバースエンジニアリングで66個の外部関数を再構築し、CLIPS内部のECMAScript正規表現エンジンまで独自実装

・CrowdStrikeは現時点で静的ML判定のみ（channel fileの解析とインポートを進行中）、Sophosは静的ML＋従来型シグネチャのみで、いずれも振る舞い検知は未実装。4製品すべてが同深度のエミュレーションではない点に注意

・カーネルミニフィルタドライバでプロセス・ファイル・レジストリ・ハンドル操作を捕捉し、ETWとPPL-AM経由のETW-Threat-Intelligence-Providerで補完する二系統のテレメトリ収集基盤。攻撃シナリオをJSONで記録・再生するReplayシステムにより、カーネルドライバなしでの反復テストにも対応

・ベンダーモジュールはIPC経由でテレメトリ収集を停止せずランタイム切替が可能。Web管理コンソールとRule-Atlas（全振る舞いルールの検索データベース）を備える。ただしクラウド側のレピュテーション照会・クラウドMLモデル・脅威インテリジェンス相関は再現対象外とされている

詳細は以下を参照：
https://t.co/RvkVovwoLM

[Sakana AI @SakanaAILabs]

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API.

Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls.

Try it: https://t.co/hhO6qTawgb 🐡

[ChaitanyaKrishna @anantharapu]

@IndianOilcl @MoPNG_eSeva Please look into customer service at Sree Sree Gas Agencies, Kodad — Indane LPG. A staff member was shouting at customers and behaving rudely instead of helping them. This is unacceptable. Kindly investigate and take corrective action. #Indane #LPG

[ChaitanyaKrishna @anantharapu]

@OpenAI @OpenAI Here’s the case number: 09206561. My account was blocked by your automated system two weeks ago, and I’m still waiting for a proper response from your end.

There has been no clear explanation or resolution, and despite having no access or usage, I am still being charged

[ChaitanyaKrishna @anantharapu]

@OpenAI @OpenAIDevs @OpenAINewsroom Here’s the case number: 09206561. It has been more than two weeks, and I’m still waiting for your response. Please look into this and update me as soon as possible.

[ChaitanyaKrishna @anantharapu]

@OpenAI @OpenAIHelp My account has been suspended for more than 4 days. We submitted an appeal, but so far we have only received automated email notifications with no real update or clarification.

Case ID: C-JoEhJ6UbpQpE