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Binance futures and spots.
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SubhanAllah… Today I just learned something that shook me in the most beautiful way.
On the Day of Judgement, you’ll see mountains of reward in your name.
You’ll be in awe and shock.
And you’ll ask:
“Ya Allah… where did all of this come from?”
Just leaked 110+ plug-and-play n8n templates that multiple industries are paying me $10K+ for.
Your weekend project: Pick any industry, copy-paste a workflow, start printing money.
The vault includes:
- Real estate lead machines (sold to 2 companies)
- Automotive inventory bots
- YouTube-to-TikTok content farms
- E-commerce customer journey automations
- SDR agents that close without you
- Healthcare patient follow-ups
- Legal document processors
- Social media engagement bots
From study agents (because fuck school) to manufacturing systems - every industry that prints money is covered.
The difference: These aren't broken templates with outdated nodes. They're battle-tested, profitable, and actually work in 2025.
Half sold for serious cash. Half are experiments that became goldmines. All are ready to deploy.
Follow, RT + Comment "vault" and I'll drop the entire collection before my accountant kills me for giving away the farm.
(Sorry to every consultant charging $10K for basic automations)
Today we're releasing "Moodboards" which let you personalize our models using collections of images. We've also added support for multiple personalization profiles and made image ranking 5x faster. It's finally time to use custom Midjourney models for all your projects <3
I'm excited to share my talk on building Agentic RAG systems at last week's event with @arizeai and @Google! 🥳
My talk covered:
1. The differences between Vanilla RAG and Agentic RAG
2. The agent ecosystem and how you can build agents today
3. How @weaviate_io is building agents with Generative Feedback Loops (GFLs)
This snippet presents the multi-agent paradigm for Agentic RAG. I hope you find this talk interesting and would love to know what you think!
The slide deck and full video links are below.
I've seen many people struggle with understanding the differences between AI tools like Bolt, v0, and Cursor.
Since I've been using all of them for several months now (with subscriptions), I’m going to summarize their key points here.
Full Thread: 🧵
How I leverage AI today:
- Claude Projects for summarization
- CrewAI agents for orchestrating research agents
- Flowise AI for private doc analysis (i.e., RAG)
- Midjourney for image generation
- NotebookLM for education-related tasks
- ChatGPT Search for discovery
- Grok for finding interesting AI papers
- Google AI Studio for video transcription
- Cursor for fast code prototyping
- v0 for design work
- Anthropic console prompt optimization and evaluation
- Claude Artifacts for artifact generation like flow charts
- ChatGPT-o1-preview/canvas for reviewing/refining writing
This is a subset of my stack. When I feel performance deteriorates for any one tool or model, I switch to other alternatives. Bad idea to overcommit to one AI tool or product. I am also constantly experimenting with different models.
My work varies between writing, research, coding, product, marketing, and business operations. These tools, and many others, are simplifying the way I do work.
How about you?
🚨This week’s top AI/ML research papers:
- GPT-4o System Card
- Are LLMs Better than Reported?
- Can Language Models Replace Programmers?
- CLEAR
- What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking
- SelfCodeAlign
- Mixture of Parrots
- Unpacking SDXL Turbo
- A prescriptive theory for brain-like inference
- Modular Duality in Deep Learning
- Learning Video Representations without Natural Videos
- CORAL
- Task Vectors are Cross-Modal
- Mind Your Step (by Step)
- ShadowKV
- MarDini
- COAT
- Fast Best-of-N Decoding via Speculative Rejection
- Continuous Speech Synthesis using per-token Latent Diffusion
- Teach Multimodal LLMs to Comprehend Electrocardiographic Images
- FasterCache
- Read-ME
- VibeCheck
- HoPE
- In-Context LoRA for Diffusion Transformers
- Knowledge Graph Enhanced Language Agents for Recommendation
- $100K or 100 Days
- On Memorization of Large Language Models in Logical Reasoning
- Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
- Grounding by Trying
- Relaxed Recursive Transformers
- Combining Induction And Transduction For
Abstract Reasoning
overview for each + author's explanations
read this in thread mode for the best experience
quit brainrot. unfollow trolls. read essays. go down rabbit holes. have a calendar. maintain a todo list. read old books. watch old movies. turn on dnd. walk with intent. eat without youtube. chew more. train without music. plan for 15 mins. execute. organise your desk. take something seriously. read ancient scripts. act fast. find bread. eat clean. journal. save a life. learn to code. read poetry. create art. stay composed. refine your speech. optimise for efficiency. act sincere. help people. be kind. stop doing things that waste your time. follow your intuition. craft reputation. learn persuasion. systemise your day (or don’t). write. write. write. write more. iterate violently. leave your phone at home. walk to the grocery store. talk to strangers. feed the dogs. visit bookstores. look for 1800s novels. experience art. then love. sit with a monk and offer them lunch. don't talk shit about people. embody virtue. sit alone. do something with your life. what do you want to create? turn off your mind. play. play a sport. combat sports. notice fonts in trees. fall in love. notice patterns on a table. visualise it. talk to people with respect. don't hate. be loving. be real. become yourself. cherrypick your qualities. discard the useless. rejections aren't permanent. invite what aligns. accept what does not. read great people. be different. choose different. do great work. let it consume you. lose your mind. value your time. experience life.
In the Large Language Model world, there are mostly two variants of the same model.
* base model: completes a prompt (llama-3.2-1B)
* instruction tuned model: completes an instruction (llama-3.2-1B-Instruct)
[1/N]
🧵⬇️
BREAKING:
Saudi Arabia, Qatar, the UAE, Bahrain, and Kuwait have declared their neutrality to Iran in its conflict with Israel and will not allow the U.S. to use their airbases against Iran.