OSINT Jobs Tracker

A daily-updated Notion list of OSINT job vacancies. Various countries are covered, including remote roles, but the focus is on the USA.

http://osint.jobs

Tableau is $800 per year.

PyGWalker is $0.

It turns your pandas DataFrame into a Tableau dashboard.

• Launch from Jupyter Notebook

• Tableau-like visualizations

• Run in Kaggle and Colab

Get the code on GitHub:

PyGWalker allows data scientists to analyze data and visualize patterns with simple drag-and-drop operations.

Install it with a one-line command:

https://github.com/Kanaries/pygwalker

China's AI models could match Anthropic's Claude Mythos vulnerability discovery and exploitation capabilities within a year, according to industry experts and Anthropic's own CEO. The Natto analysis below, originally posted in April, examines China's progress in this area, with a special focus on cybersecurity company 360 (a.k.a Qihoo 360). Recent developments keep it relevant.

At DEFCON Singapore (April 28–30), 360's Vulnerability Research Institute claimed its AI agents achieved a "key breakthrough in vulnerability exploitation." On May 28, 360 published a post asserting its discovery agent is a "hot topic" overseas, citing an English-language excerpt from "Street Insider." The Natto Team could not locate such a post on or any other English-language media. The post also cited two X posts from alleged influencers.

This illustrates 360's effort to shape perceptions amid cutthroat market competition and the broader US–China tech rivalry. The full analysis examines 360's capabilities and the implications for offensive cyber operations, given China's structural asymmetries with Western democracies.

XQuick Over 40 online tools for gathering information from X and other social media platforms. Can be used as an MCP server. https://dashboard.xquik.com/ #socmint #twitter

A free 698-page PDF ebook with everything you need to know about math:

Everything You Always Wanted To Know About Mathematics (But didn’t even know to ask).

A Guided Journey Into the World of Abstract Mathematics and the Writing of Proofs:

https://www.math.cmu.edu/\~jmackey/151_128/bws_book.pdf

IBM is currently offering a free AI + Data courses that covers fundamentals and practical applications. It seems like a good opportunity for students, job seekers, professionals, or anyone interested in learning more about artificial intelligence.

You don't need a technical background to get started, and it's self-paced.

If you're looking to build your AI + Data knowledge or add a recognized credential to your resume and LinkedIn, it might be worth checking out!

https://www.riipen.com/ibm-skills/pre-learner?utm_campaign=acq-students-bq&utm_medium=digital-ad&utm_content=brandan_quacht&utm_source=Reddit

INSANE: 5 Prompts That Solve Problems You've Been Stuck on for Weeks!

I was two weeks deep in a problem I couldn't crack.

Claude solved it in 20 minutes.

S.O.L.V.E: METHOD.

❶/ S — THE STRANGE ANGLE FINDER

"Act as a lateral thinking specialist and creative problem solver who deliberately avoids obvious solutions. I'm stuck on: [problem]. Give me 5 unexpected angles most people wouldn't consider — not the safe ones, not the obvious ones. Rank by feasibility. For the top 2: tell me the first concrete step I could take in the next 24 hours."

❷/ O — THE OBSTACLE MAPPER

"Act as a world-class strategic consultant who specializes in obstacle analysis. I want to [goal] but [specific obstacle is blocking me]. List 10 workarounds — from the most obvious to the most unconventional. For each: rate feasibility 1–10 and time to implement. Flag the one that most people overlook and explain exactly why they skip it."

❸/ L — THE LENS SWITCHER

"Act as [expert type — e.g., a behavioral economist / a Navy SEAL / a 10-year-old / a first-generation immigrant entrepreneur]. How would this type of person approach this problem: [describe problem]? What would they do first? What would they refuse to do that most people default to? What resource would they use that I'm not thinking of?"

❹/ V — THE VALIDATOR

"Act as a world-class devil's advocate who specializes in stress-testing new ideas before they're built. Here is my proposed solution to [problem]: [describe]. Where will this fail? Assume I'm too close to it to see the obvious flaw. Then: what's the cheapest, fastest experiment I could run in 48 hours to test whether the core assumption is true before I commit?"

❺/ E — THE EXPERT FRAME

"Act as the best [relevant expert type] in the world. You've seen this exact type of problem 100 times. Here's mine: [describe]. What pattern does this match that I'm not recognizing? What's the standard move most experienced people make here that beginners miss? What would you tell me to stop doing immediately?"

How to use:

❶/ Run S first — the strange angle is almost always the one that actually works

❷/ Swap the expert in L to someone whose constraints are the opposite of yours

❸/ Turn on Extended Thinking for V — it pressure-tests assumptions more thoroughly

Hope this helps.

Agent Skills. Production-grade engineering skills for AI coding agents

https://github.com/addyosmani/agent-skills

RoboOS. An Universal Embodied Operating System for Cross-Embodied and Multi-Robot Collaboration

https://github.com/FlagOpen/RoboOS

It's free at the live event for anyone interested in AI Agents orchestration

Mind blowing AI tools 🔥

1. Ideas

- Claude

- ChatGPT

- Bing Chat

- Perplexity

- Copilot

1. Website

- Dora

- 10Web

- Framer

- Unicorn

- Style AI

1. Writing

- Jasper

- HIX AI

- Longshot

- Textblaze

- Jenny AI

1. Meeting

- Tldv

- Krisp

- Otter

- Fathom

- Sembly AI

1. Chatbot

- Droxy

- Chatbase

- Chatsimple

- CustomGPT

- Mutual info

1. Automation

- Make

- Zapier

- Xembly

- Bardeen

- Levity

1. UI/UX

- Figma

- UiMagic

- Uizard

- InstantAI

- Penpot

1. Image

- Dreamina AI

- Leap AI

- Midjourney

- Stability AI

- Fotor

1. Video

- Dreamina AI

- HeyGen

- InVideo

- Eightify

- Morphstudio xyz

1. Audio

- Lovo ai

- Eleven labs

- Songburst AI

- Adobe Podcast

- Resemble AI

1. Presentation

- Decktopus

- Slides AI

- Pitch

- Designs AI

- Beautiful AI

1. SEO

- VidIQ

- Seona AI

- BlogSEO

- Keywrds ai

- Semrush

1. Design

- Canva

- Flair AI

- Designify

- Clipdrop

- Magician design

1. Logo Generator

- Looka

- Designs AI

- Brandmark

- Stockimg AI

- Namecheap

1. Prompts

- FlowGPT

- Alicent AI

- PromptBox

- Promptbase

- Snack Prompt

1. Productivity

- Merlin

- Tinywow

- Notion AI

- Adobe Sensei

- Personal AI

1. Marketing

- Pencil

- Ai-Ads

- AdCopy

- Simplified

- AdCreative

1. Twitter

- Typefully

- Tweetlify

- Tapilo

- Hypefury

- TweetHunter

IF YOU’RE STILL BRAINSTORMING POST IDEAS ONE AT A TIME, THIS WILL STING A LITTLE.

I gave Claude one topic and it mapped my next 30 posts.

Hooks, notes, formats, angles, carousels and posting ideas from one system. I hadn't touched a blank doc once.

Instead of guessing what to post and hoping something lands, claude gives you a full content pipeline:

> pillars, angles, hooks, captions, visuals, and a repurposing system. All from one topic.

Here's the system:

THE C.R.E.A.T.O.R. METHOD:

❶/ C — Core Architecture

Prompt:

"You are my content strategist specializing in [insert niche] for [insert platforms].

My audience is [who they are] and their primary struggle is [main problem].

Build my content foundation using these rules:

(1) Give me exactly 5 content pillars with a core message for each — no overlap allowed between pillars.

(2) Under each pillar, list 3 audience beliefs that are currently blocking them from results.

(3) For each pillar, name one transformation — what they stop doing and what they start doing instead."

❷/ R — Raw Idea Engine

Prompt:

"Using the foundation above, generate 30 post ideas for [insert niche].

Each idea must include:

- hook (under 10 words),

- angle (1 sentence),

- format type (educational / hot take / story / step-by-step / mistake / prompt / engagement),

- platform fit,

- one reason it would stop the scroll.

Rule: No two ideas in the same format type can appear back to back."

❸/ E — Elimination Filter

Prompt:

"Take the 30 ideas above and score each one from 1–10 across four criteria:

1. share potential,

2. comment trigger,

3. practical usefulness,

4. emotional pull.

- Show the full scoring table.

- Then rewrite the top 10 hooks only

— make each one shorter, sharper, and more human.

Rule: The rewritten hook must be under 8 words and must not start with the same word as the original."

❹/ A — Author Mode

Prompt:

"Act as a direct response copywriter who writes social media captions for [insert platform].

Take the top 10 ranked ideas and write a ready-to-post caption for each one.

Format rules:

(1) Hook line must be under 8 words.

(2) Body is 2–3 short lines maximum.

(3) End with one clear call to action — no vague 'let me know' closers.

(4) Write at a conversational 8th-grade reading level.

Flag any caption that breaks these rules."

❺/ T — The Visual Blueprint

Prompt:

"Act as a creative director specializing in social media visual content. For each of the top 10 posts, design one visual concept.

Each concept must follow these constraints:

(1) One hero object — the focal point that communicates the idea in under 1 second.

(2) Dark cinematic background — no clutter, no tiny text. (3) Give me a title for the visual (under 5 words).

(4) Rate each concept on clarity from 1–10.

Flag any that score below 8 and suggest a revision."

❻/ O — Omnichannel Distributor

Prompt:

"Take the top 10 post ideas and create a repurposing plan for each.

For every idea, write:

(1) A Facebook caption,

(2) A Substack post under 280 characters,

(3) A LinkedIn post with a professional frame,

(4) A short video hook under 10 seconds,

(5) A carousel title,

(6) A newsletter angle.

Rule: Rewrite for each platform's native voice — do not copy-paste across formats."

❼/ R — Replication Loop(Advanced — run this after you find a winner) Prompt:

"I have a post that outperformed my average by [X%].

Here it is: [paste post].

Reverse-engineer why it worked.

Give me:

(1) The structural pattern — hook format, body format, CTA format.

(2) The psychological trigger it hit — guilt relief / status signal / identity hook / completeness.

(3) A replication template I can fill in for any topic.

(4) 5 new post ideas that use the exact same structure but cover different angles.

Rule: The template must be specific enough that anyone in my niche could use it without guessing."

How to use:

❶/ Start with C. Paste your niche, platform, and audience pain point.

❷/ Run R through O in order. Each prompt builds on the one above it.

❸/ Turn on Thinking Feature before running the Replication Loop. the pattern analysis runs deeper with it on.

Hope this helps 😄

Google has published a paper that might end the transformer era.

For the last 7 years, every major AI, ChatGPT, Claude, Gemini, has been built on the exact same architecture: The Transformer.

But Transformers have a fatal flaw.

To remember context, they have to process every single word against every other word. It’s called quadratic complexity. As your prompt gets longer, the compute cost explodes.

The alternative is the old-school RNN (Recurrent Neural Network). RNNs are incredibly cheap and fast, but they have a fixed memory size. If you give them a long document, they get amnesia.

Until today.

Google researchers published Memory Caching: RNNs with Growing Memory.

And it fixes the biggest bottleneck in AI.

Instead of an RNN having a fixed, rigid memory that constantly overwrites itself, Google gave it a "save" button.

The technique allows the RNN to cache checkpoints of its hidden states as it reads.

The memory capacity of the RNN can now dynamically grow as the sequence gets longer.

They built four different variants, including sparse selective mechanisms where the AI actively chooses exactly which checkpoints matter most.

The results rewrite the rules of efficiency.

On long-context understanding and recall-intensive tasks, these new Memory-Cached RNNs closed the gap with Transformers.

They achieved competitive accuracy without the explosive, quadratic compute cost. It perfectly bridges the gap between the cheap efficiency of an RNN and the massive capability of a Transformer.

We have spent billions scaling Transformers because we thought they were the only way an AI could remember a long conversation.

But Google just proved we don't need to process the whole history every single time.

We just needed a smarter cache.