Catalyst

It’s all in your mind. Believe it.

[Catalyst @clear_catalyst]

Your subconscious mind only knows you. Every time you think and speak ill of someone else, it assumes you’re talking about yourself.

[Daniel @danielholkss]

Does anyone have any random fun facts about a very niche subject. I'm bored and love learning random things

[Catalyst @clear_catalyst]

@Qokani Could it be that the value of property increases because of the compounding amount of rates and levies?

[🏟Ndlela Ka Sompisi 🗽 @OfficialPhiwah]

@Bibo__Zulu Sohamba ngayo sonke eventually 🤦

[Catalyst @clear_catalyst]

One day I will build this exact house. Please share contacts of the architect so I can buy the plan if you may know them.

[Thendo Ralph @ThendoRalph]

Village life over City life🤌🏾

[Vera | Cloud SE @smbclient1]

Don’t sleep on the @Microsoft AI Skills Fest, from June 8-12.

AI is already changing the entire job market. The best time to start learning is NOW.

Free learning sessions, hands-on training, free certifications and vouchers.

Link: https://t.co/lYbdT7KTY9

[andrei saioc @asaio87]

Nobody wants to admit it but "vibecoding" works until your app has actual users. Then you discover what senior engineers have been getting paid for.

[Sonia @BalogunSonia4]

Wanting a man to LEAD knowing you don’t like to listen is crazy 😂

[Catalyst @clear_catalyst]

If she cheats, leave her. You will never love her the same and you will never forget that she once did such.

[🦋 𝓑𝓵𝓮𝔁𝔂 🦋 @BlexyX23]

Unpopular opinion about relationships SEX

[Nyathi @Bheki_Nyathi]

For R2 million 🐐 kudura amasende la akhipha uhlobo

[Vusani Mushiana🇿🇦 @VusaniMushiana]

Need. Builder?
Contact my Dad

[Catalyst @clear_catalyst]

@HermaineM @rajah_junior ❤️

[Catalyst @clear_catalyst]

@bgthaplag @mpho_pitsi_za @clear_catalyst

[Catalyst @clear_catalyst]

@Nduuh_Masondo @Nolo_Seabi It’s because of the second ‘y’😭

[Catalyst @clear_catalyst]

Kunzima kodwa nami nginzima kakhulu.

[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.

[Akintola Steve @Akintola_steve]

I’m looking for people who are ready to lock in with zero distractions for the next 3 months.

Let’s commit to this roadmap and actually follow through.

Forget the AI noise for now. Focus on becoming solid in backend engineering and system design.

It might sound unrealistic, but you’ll be surprised at how much you grow by the end of June / early July.

Read below 👇🏿

[SBUSISO @SbuMasang]

Ask me who is Studio 88 supplier.

[Microsoft Learn @MicrosoftLearn]

MLOPs engineers, we have big news to share! The new Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate Exam AI‑300 is now in beta. What does this mean for you?

For a limited time, the first 300 candidates to take the new test by April 2 will receive an 80% discount*.

Use code: AI300Meridian

*Read the blog for more details 🔗
https://t.co/Kf8K2t3251

[diyu @haha_girrrl]

EVERY TOOL VIBE-CODERS SHOULD KNOW ABOUT:

• @claudeai - AI for coding + debugging
• @cursor_ai - AI code editor
• @Replit - Cloud coding + instant deployment
• @vercel - Frontend hosting + deployment
• @github - Code hosting + Version Control
• @NanoBanana - AI image generation
• @midjourney - AI image generation (advanced)
• @rainbowdotme - Web3 wallet integration
• @RevenueCat - Subscription payment management
• @Lovable - AI app and website builder
• @rork - AI mobile app builder
• @Dribbble - Design inspiration + discovery
• @v0 - AI UI component generator
• @zeddotdev - Fast lightweight code editor
• @zencoderai - AI coding agent platform
• @codeium - Free AI autocomplete
• @tabnine - AI code completion
• @supabase - Backend + database + auth
• @ChatGPTapp - General AI assistant
• @AskAider - Terminal-based AI pair programmer
• @boltdotnew - Prompt-to-app generator
• @TryNoahAI - AI builder for onchain apps
• @antigravity - AI-powered agentic IDE
• @QodoAI - AI code review + generation
• @snykio - AI security code analysis
• @piecesapp - AI code snippets manager
• @mintlify - AI documentation generator
• @perplexity_ai - AI search for dev queries
• @gitlab - AI-powered dev workflows
• @Sourcegraph - AI codebase search + understanding
• @coderabbitai - AI-powered code reviews
• @getconvex - Realtime backend for apps
• @fal - AI media generation APIs
• @openrouter - LLM API router
• @exa_ai - AI search API
• @cognition_labs - Devin AI software engineer
• @canva - Design and graphics
• @figma - Collaborative UI/UX design
• @netlify - Hosting + deployment
• @GoogleAI - Google AI Studio for prototyping
• @openinterpreter - Open-source terminal AI
• @warpdev - AI-powered terminal
• @cline - AI coding agent for VS Code
• @windsurf_ai - AI-powered code editor
• @ManusAI - General AI agent for productivity
• @v_computer - AI mobile app builder
• @openclaw - Experimental AI agent framework
• @GoogleDeepMind - AI research + dev tools

what did I miss?

[Daliso @djngoma]

Anybody in South Africa organising this?

[Xiluva Meleni @meleni_xiluva]

Guys, is the cybersecurity bootcamp course worth it? I don't want to waste my R27k.