Gun Gun Febrianza (סרן) ⚡️

The 21st Century Goldsmith | Economic Libertarian | Climate Scientist | #bitcoin
Create value in Bitcoin economy
IG : @ rich.guns | Linkedin: Gun Gun Febrianza

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

Attention is a biological resource, not a software setting.

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

...feels like sharpening the sword. But at some point, sharpening becomes the way you avoid the fight.

[ClaudeDevs @ClaudeDevs]

Claude Code on desktop now has an in-app browser.

Claude can pull up docs, designs, or any other site. It can read, click through, and interact the same way it does with your local dev servers.

It's sandboxed and configurable: you choose whether sessions persist.

[CyrilXBT @cyrilXBT]

YOU CAN BUILD AN AI SECOND BRAIN IN 15 MINUTES.
No coding experience. No $1000 course.

Here is the entire setup.
Step 1: Download Claude Desktop.
Step 2: Download Obsidian.
Step 3: Create a new vault and start dropping .MD files into it.
Step 4: Tell Claude Code to connect to your vault using Karpathy's prompt: https://t.co/5LkhJDGQLO

That is it.

Your entire knowledge base becomes searchable, connectable, and queryable by the most powerful AI model on earth.

Every note you have ever written.

Every idea you have ever captured.
Every resource you have ever saved.

Claude reads all of it, finds connections you missed, and surfaces insights from your own thinking that you FORGOT you had.

Most people use Claude as a search engine.

The people building second brains use it as an INTELLIGENCE LAYER on top of everything they know.

That gap is the gap between asking Google a question and having a research partner who has read everything you have ever written.

Bookmark this.

Build it tonight. Follow @cyrilXBT

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

subject speaks through your expanded awareness, Each question no longer just reveals - it creates.

You're not studying [subject] anymore,
You're participating in its evolution.

Every inquiry adds new dimensions to what can be inquired about.

This is The Eternal Expansion

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

its crazy...

....Each question evolves reality's ability to know itself."

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

The universe doesn't hide its secrets.
It reveals them to those who develop eyes to see.

[Kr$na @krishdotdev]

Good bye Claude Max, i’m not gonna waste a penny on you anymore.

[Kanika @KanikaBK]

🚨 CHINA IS ON FIRE!

Tencent open-sourced TencentDB Agent Memory.

Long-term memory for AI agents that runs 100% locally.

↳ No Pinecone or cloud APIs
↳ You don't need to repeat yourself every session
↳ 61% fewer tokens
↳ PersonaMem accuracy: 48% → 76%
↳ Runs on plain SQLite
↳ FREE. Open source.

5.1k stars in 48 hours.

Most people paying $70/month for vector databases will miss this.

[chewa. @chewadot]

48 HOURS AFTER KARPATHY POSTED HIS LLM WIKI IDEA, A 26-YEAR-OLD BIRMINGHAM GRAD SHIPPED THE ONE COMMAND THAT MAKES IT WORK. IT NOW HAS 76,000 GITHUB STARS

1 command. 71.5x fewer tokens per query. 0 vector databases

points graphify at any folder - codebase, docs, PDFs, screenshots, video. Tree-sitter parses the code, Claude reads the prose, the whole thing lands as a knowledge graph in graphify-out/

one flag - --obsidian - writes the entire graph as a fully-linked Obsidian vault: one markdown note per concept, every relationship a wikilink, every node linked back to its source. Drop the vault into Claude Code as a skill. Claude queries the graph instead of grepping through raw files, forever

Safi Shamsi finished his MSc at Birmingham with Distinction in 2025. His thesis was a knowledge-graph RAG system for academic search. He shipped Graphify 48 hours after Karpathy's post, iterates every week, and has already been forked by Rootly AI Labs for incident data. Hacker News, Analytics Vidhya, Towards AI - all organic.76,000 stars. Three months old

no neo4j server. no vector db. no embedding pipeline. no cloud. no monthly fee

you're reading this on a device that could clone the repo, run one command, and have a Claude-native knowledge graph of your entire codebase in Obsidian before your next standup

[CyrilXBT @cyrilXBT]

ANTHROPIC JUST OPEN SOURCED THE ENTIRE WALL STREET WORKFLOW AND FIRMS ARE NOT GOING TO BE HAPPY ABOUT IT.

DCF models. LBO models. Equity research reports. Merger analysis. KYC checks.

All of it. Free. On GitHub.

Here is what just became available to anyone with a laptop.

Direct connections to Bloomberg, FactSet, S&P Global, Morningstar, and PitchBook.

Real Excel models with live formulas and sensitivity tables built automatically.

CIMs, IC memos, earnings reports, and buyer lists drafted on demand.

PE due diligence, GL reconciliation, and NAV tie-outs running as production agents.

This is not a chatbot wrapper that summarizes financial news.

These are production agents that own entire financial workflows end to end.

The kind that investment banks and private equity firms pay $50,000 to $500,000 per year in software licenses to run.

Now it is a one-line Claude Code plugin install.

19,800 GitHub stars.

Apache 2.0 license.

100% open source.

Think about what this actually means.

A junior analyst at a bulge bracket bank spends 80% of their 100-hour week running models, drafting memos, and compiling data across Bloomberg and FactSet.

That entire workflow just became a Claude Code agent.

The banks charging clients $500 an hour for analysis that this system produces in minutes are not going to tell you this exists.

The boutique advisory firms charging $50,000 retainers for due diligence work that these agents handle autonomously are not going to promote this repo.

But it is already live.

19,800 people have already starred it.

The window where knowing this gives you an edge over every analyst, associate, and advisor still doing this manually is open right now.

Star it. Fork it. Deploy it this weekend.

Bookmark this before your next financial model.

Follow
@cyrilXBT
for every open source release that disrupts an overpriced industry the moment it drops.

[Codez @0xCodez]

Andrej Karpathy just dropped a 6-hour course on how to build LLMs from scratch:

• 00:00 - Deep dive into LLMs like ChatGPT
• 03:31:23 - Building ChatGPT from scratch in live
• 05:27:43 - How to use LLMs (Karpathy method)

This course will replace a $90K Stanford LLM master’s degree.

Start watching today, then read how to become an AI engineer in article below.

[Krishna Agrawal @Krishnasagrawal]

Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026:

• 00:00 - How to build agentic AI systems
• 04:25 - Future of AI engineering
• 23:38 - AI Prompting full course
• 2:52:17 - Creating an app with AI in 30 minutes

This 3-hour watch could replace 10 AI engineering courses on the internet.

Watch it today, then read how to run a self-improving system in the article below.

[h100envy @h100envy]

Ex-NVIDIA engineer who built Unsloth explained RL, kernels, reasoning, quantization, and agents in 2 hours 42 minutes - better than $5000 fine-tuning bootcamps.

pick the base model -> write triton kernels for 2x faster fine-tune -> quantize to 4-bit -> run GRPO/DPO -> ship a reasoning model on your single GPU.

That loop is why Unsloth is the default way to fine-tune Llama, Qwen, Gemma, and Phi on hardware you already own.

Unsloth + Triton kernels + 4-bit quantization + GRPO/DPO + single-GPU fine-tuning - that's the stack.

Watch and save it, then fine-tune your first model tonight.

[Raytar @Raytar]

Anthropic just released a 4-hour course to getting a $500k AI engineering job:

00:15 - The right way to prompt Claude
33:21 - What makes Claude act dumber on your code
01:33:39 - How Anthropic use Claude every day
02:50:56 - The fix that makes Claude way smarter

This 4-hour Anthropic free course replaces about 10 paid engineering courses.

Watch it today, then read the step-by-step guide on building loops below.

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

Attention Weights, Logit Scores, and Probability Distributions act as the fundamental currency and market forces of this new system.

Cognitive output is being reduced to a utility, priced by the token.

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

For the last 50 years, the digital economy was based on search and retrieval (Google) or networking (Facebook). You paid for access to information. The AI economy changes this. We are no longer paying for retrieval, we are paying for probability generation.

[AI_Explorer @ai_explorer25]

list of 10 active AI researchers on X:

1.
@karpathy — Andrej Karpathy
2.
@rasbt — Sebastian Raschka
3.
@AndrewYNg — Andrew Ng
4.
@drfeifei — Fei-Fei Li
5.
@demishassabis — Demis Hassabis
6.
@GaryMarcus — Gary Marcus
7.
@ai_explorer25 — AI Explorer
8.
@maximelabonne — Maxime Labonne
9.
@chipro — Chip Huyen
10.
@ilyasut — Ilya Sutskever

[Codez @0xCodez]

Anthropic just dropped 5 workshops, revealing the latest capabilities of Fable 5:

• 00:00 - deep look into Fable 5
• 11:22 - Fable 5 and the capability curve
• 30:54 - building managed agents with Fable 5
• 44:29 - real use cases of Fable 5 by teams
• 57:43 - how to deploy agents with Fable 5

These 1-hour of sessions will replace 100 articles on how to actually use Fable 5.

Watch them today, then read the best practices from the sessions in the article below.

[Gun Gun Febrianza (סרן) ⚡️ @daddybitcoin]

"True free will only exists when you understand the rules of the game"

- Gun Gun Febrianza