Ayum

Conquering Alberta's nature. 🏔️🌳 Family man, cyber security, agile project manager. 🇬🇳🇨🇩🇳🇪 roots. Join me on this journey of technology, and growth.

[Ayum @AyoumS]

@uBF2fV1cVQxRjQo This one was not a mummy. It was alive in the citadel. The mummies were discovered in the same area.

[Andrej Karpathy @karpathy]

LLM Knowledge Bases

Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So:

Data ingest:
I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them.

IDE:
I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides).

Q&A:
Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale.

Output:
Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base.

Linting:
I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into.

Extra tools:
I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries.

Further explorations:
As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows.

TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

[Ayum @AyoumS]

@jamescoder12 Steal

[Jon Stewart @JonStewartIL]

"At S2, they classify this visitor as an ETE-1 (Type B)—Rigel System, 4th planet.
Standard issue: outfit, GPS/tech-dampening wristband, environmental monitor and translator.
Jon, this is important.
Entities from Rigel are frequently referenced as biologically compatible with Earth’s environment yet requiring strict tech dampening due to advanced bio-electric or telepathic fields." Testimony on 11-20-23 Columbus, OH

"BLACKTHORN" - Materials Scientist / Division: WP-MSD

#uap #ufo #uaptwitter #ufotwitter #RUN! #JonStewart #Rigel

@RepEricBurlison
@AlchemyAmerican
@JonesDanny
@JRE_Clips
@chrisramsay52
@polarityjosh
@road_mystery
@DrStevenGreer

[Ayum @AyoumS]

@NoahEpstein_ Spy

[Nozz @NoahEpstein_]

This is probably illegal in 17 countries.

I built a system that watches what successful people post online and tells you their exact strategy.

Think of it as digital espionage for beginners:
- Tracks any competitor/influencer 24/7
- Shows you their viral patterns
- Predicts what will work BEFORE they post
- Turned 1 stolen idea into 978K views

No coding required. Just copy-paste and watch.

My lawyer (gpt) said don't share this.
My client paid $3K for it.

But seeing template merchants charge $500 for broken stuff while this actually works...

Fuck it.

Follow, RT + Reply "SPY" and I'll send it to you

[Nozz @NoahEpstein_]

Just caught my client selling MY n8n workflow for $15K.

The same workflow I gave him for $2K.

So fuck it. Here's the exact JSON that's making him rich:

The "Client Thief 3000" automation:
→ Scrapes LinkedIn for CEOs mentioning "inefficient"
→ AI analyzes their company's tech stack
→ Generates a personalized video pitch
→ Books meetings while they sleep
→ Closes deals with 34% conversion

He's closed $73K in 3 weeks. I built it in 2 hours.

The betrayal stings, but your success will heal me.

Follow, RT + Reply "THIEF" & I'll DM the JSON.

(Use it to steal his clients. I'll provide popcorn.)

[Ayum @AyoumS]

@NoahEpstein_ Thief

[Ayum @AyoumS]

@tomcrawshaw01 CHEAT

[J.B. @VibeMarketer_]

Claude just became your personal automation engineer. (This will change how you build in n8n forever)

using n8n’s new MCP server, you can now describe a workflow in plain English…

and Claude builds + deploys the entire n8n workflow for you - automatically.

you can now:
- build full workflows in plain English
- deploy straight into your n8n instance (no JSON copy/paste)
- spin up custom agents for ads, inventory, email, Slack - whatever
- ship automations 10x faster, with 0 tech bottlenecks

this is like having a full-time backend engineer for $20/month

want the full Claude setup + install guide?

comment “AUTOMATE” + follow + repost and I’ll DM you everything (must be following so I can DM)

[Ayum @AyoumS]

@VibeMarketer_ Automate

[Nassim Nicholas Taleb @nntaleb]

Someone warned me in 2023 that, owing to my posts on Palestine, my book career was over, (but I could fix it w/loud repentance). Predictably, I told him to fuck off.

Well, this Sunday,The Black Swan, after 18 years, is back on NYT Bestseller List.

Never compromise.

[Ayum @AyoumS]

@AlchemyAmerican Same as the ones in the movie close encounter of the third kind…

[Ayum @AyoumS]

@damianplayer Steal

[Damian Player @damianplayer]

HOLY SH*T… Look at this.

STEAL this AI Agent that clones VIRAL TikToks & posts them on 9-platforms using n8n:

– Scrapes VIRAL TikToks
– Rewrites scripts with GPT-4o
– Auto-generates avatar videos
– Captions, overlays, & edits
– Posts to IG, YT, X, TikTok, FB, LinkedIn & more

Follow + RT + Reply “Steal” & I’ll send you the workflow for FREE

[Ayum @AyoumS]

@mawuko @BenGeskin I actually think the Limitless-style device opens up a whole new category. It’s not trying to replace your phone or laptop—it’s augmenting you.

It’s less a “third device” in the Apple sense, and more like a wearable recall + context engine. Different problem, different lane.

[Ayum @AyoumS]

@BenGeskin And just like that, the personal AI war begins. Limitless walked, OpenAI’s about to fly 🚀

[Ayum @AyoumS]

@minchoi Fantastic thread @minchoi. Do you happen to have any invites left?

[Ayum @AyoumS]

@HoopMixOnly Kawhi In a one-possession scenario with my life on the line, I want a cold, disciplined, elite wing defender who won’t bite on fakes, has great reach, and doesn’t get emotional. Kobe’s still scoring 3 out of 10 times… but if anyone gets me the best odds, it’s Kawhi.

[Ayum @AyoumS]

@teneikaask_you Sounds about right 🤗