MrDodgerX

I wish that I could, but you know some things you just can’t fix. You needn't be angry, it's just the way of the world

[Lupin @0xLupin]

“Security researchers are doomed because of AI.”

I kept hearing versions of this, so I went back through 500 years of people saying the same thing every time a machine learned a human skill.

Some were idiots.

Some were right.

Here’s where I landed. https://t.co/ghFe7ONlOi

[Hanako @hanakoxbt]

Don't spend 2 years learning how Claude and ChatGPT actually work.

Stanford just dropped a 2.5 hour course on building an LLM from scratch.

0:00 - LLM tokenization
25:03 - how LLMs decode a prompt
34:44 - the training pipeline
1:14:47 - the architecture, from scratch

look at the first one, because it is the section everyone skips.

Text → Tokens → IDs → Vectors

by the time the model sees your prompt it is not text. it is integers, split where you would not expect.

that is why renaming a tool changes which one gets called, and why one character moves the whole result.

reading your prompt is the old mental model. reading what was sent is the new one.

Anthropic pays $750,000 a year to engineers who understand this layer.

watch it today, then read the eval setup below.

[MrDodgerX @gaarachunin]

Username WhatsApp Menamatkan Era Blasting https://t.co/CK5CDQ8F1r

[MrDodgerX @gaarachunin]

I just reserved my Cloudflare Wallet tag: https://t.co/vwPa1z6byT.

Reserve yours now at https://t.co/SwVWZ5sC3g

[Avid @Av1dlive]

Don't waste 2 years learning to build LLMs like Claude & ChatGPT.

Stanford just dropped a 2 hour 34 min course on how to build LLMs from scratch.

• 00:00 - LLM tokenization
• 25:44 - how LLMs decode user prompts
• 35:40 - training pipeline of LLMs
• 1:16:47 - LLM architecture from scratch

Anthropic pays $750,000/year to engineers who understand this exact knowledge of LLMs.

Bookmark this & give 2 hours today, no matter what. Then read the article below.

[AI_Explorer @ai_explorer25]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/cc4SxBnCHF

2 - Google:
https://t.co/r1bv5Xgfil

3 - Meta:
https://t.co/UALdoelTnj

4 - NVIDIA:
https://t.co/JKTgY3n14y

5 - Microsoft:
https://t.co/izcZcNQHDl

6 - OpenAI:
https://t.co/nY93DIwNTe

7 - IBM:
https://t.co/lIYoazaXfW

8 - AWS:
https://t.co/770qBjwHeW

9 DeepLearning. AI:
https://t.co/SnPZ288j8u

10 - Hugging Face:
https://t.co/AAym51zedH

Comment "Learning" if you find this helpful.

[codila @0xCodila]

https://t.co/Kg6X4rXvpc

[Anuj @anujcodes_21]

A man spends 50 years teaching at MIT.

He knows his time is running out.

So he records one last lecture — everything he knows, distilled into a single hour.

He died 5 months later.

This is that lecture.

The most important hour you'll watch this week.

Bookmark it for later!

[Ishika Rawat @Ishh_021]

FULL COURSE 1 HOUR (Build & Automate Anything)

[MrDodgerX @gaarachunin]

@zwn_m Hahajahahaha

[Akshay 🚀 @akshay_pachaar]

the four types of agent loops.

loop engineering keeps getting talked about as one thing. it's actually a choice between four structures, and each one fits a different kind of task.

it means designing the system that steers the agent, instead of steering it yourself move by move.

that system always answers two questions. what starts a run, and what decides the work is done.

in a hand-run session you answer both yourself, every single time. each loop type moves more of that into the system.

here's each type, what triggers it, and when to reach for it.

1) turn-based.

triggered by a user prompt. the agent gathers context, acts, and checks its work inside a single turn, then a human reviews the output and writes the next prompt.

use this when requirements are still forming and every output changes what you'd ask for next.

2) goal-based.

triggered by a /goal command carrying success criteria and a budget, like "get the homepage Lighthouse score to 90, stop after 5 tries." when the agent tries to stop, an evaluator model checks whether the goal is met, and a no sends it back to work.

use this when the outcome is measurable but the path there isn't worth your attention.

3) time-based.

triggered by a clock. an interval fires, the agent runs a fixed prompt like "check the PR, fix CI," then waits for the next tick. /loop runs on your machine, /schedule moves it to the cloud so it survives a closed laptop.

use this for recurring work where the task is known in advance and only the timing repeats.

4) proactive.

triggered by an event or schedule with no human present. a routine watches a channel, and when something needs handling it spawns a workflow with a triage agent, a fix agent, and a reviewer that adversarially judges the work before the task closes.

use this for standing responsibilities where you can't predict what will come in, only that something will.

each type hands off one more job than the last. turn-based keeps both with the human, goal-based automates the checking, time-based automates the trigger, and proactive automates both while deciding the workflow shape at runtime.

so the mapping question isn't which loop is most advanced. it's whether your task is exploratory, measurable, recurring, or standing.

the more you hand off, the less you babysit.

I wrote the full breakdown on loop engineering. the article is quoted below.

[MrDodgerX @gaarachunin]

@zwn_m Ni bang ke.

[Charlie Hills @charliejhills]

I turned Claude into an entire company.

42 skills, organised like a real org chart (links below):

Here is every department, and where to get each one.

Developers

Superpowers

→https://t.co/tGNwFVYsEa

Context7

→ https://t.co/oExBVynS4S

Skill Creator

→ https://t.co/iR9fyxUFvL

MCP Builder

→ https://t.co/iR9fyxUFvL

Webapp Testing

→ https://t.co/iR9fyxUFvL

Claude-Mem

→ https://t.co/emHpdPtiUO

Designers

UI UX Pro Max

→ https://t.co/54NvwKmBix

Taste

→https://t.co/gFud3Sa93j

Frontend Design

→ https://t.co/gFud3Sa93j

Transitions

→ https://t.co/kZP238n3Zy

Web Artifacts

→https://t.co/iR9fyxUFvL

Brand Guidelines

→ https://t.co/iR9fyxUFvL

Marketing

45 skills to run your marketing, from copywriting to SEO to lead magnets.

Access them all here

→ https://t.co/oBsac9TKK4

Social Media

17 skills to run your social media, from post writing to Reels to thumbnails.

Access them all here

→ https://t.co/ZwNtoUTdVm

Finance

8 skills to run your finances, from statements to reconciliation to audits.

Access them all here

→ https://t.co/qk0ioMAxim

Small Business

31 skills to run your small business, from cash flow to payroll to invoicing.

Access them all here

→ https://t.co/m9kHptmfv9

Legal

9 skills to handle your legal work, from contract review to NDAs to compliance.

Access them all here

→https://t.co/ucxqTYH4v9

Every skill on the chart is real and installable from the links above.

Repost ♻️ this to help your network build their own.

[codila @0xCodila]

Ex-Google engineer just dropped 1-hour course: loops, self-improving AI, memory systems - from scratch:

00:00 - the self-building agent
03:01 - soul.md runs everything
30:16 - RAG memory: pull 20 messages, not 2,000
31:48 - the loop that knows when to stop
35:14 - find the bug, fix the prompt
50:22 - how Claude compresses your memory

1 hour of his guide beats any paid agent course

watch & bookmark - then read Karpathy's loop method below

[MrDodgerX @gaarachunin]

Nak tengok keputusan penuh mengikut daerah dan DUN anda dengan lebih mudah? Saya sediakan dashboard ringkas ini untuk rujukan anda semua:

🔗https://t.co/Z1dk7EwrER
Di dalam website ini anda boleh lihat: ✅ Peta keputusan interaktif 56 DUN ✅ Perbandingan statistik 2022 vs 2026

[🇲🇾 @localrkyt]

Penang sedang tambak laut untuk bina pulau buatan baru dari sifar. Silicon Island, pulau tech pertama Malaysia. 🏝️

[Solayne✨ @Solayne_x]

Everyone needs an uncle Phil in their lives

[🇲🇾 @localrkyt]

Fuhh.. Rm 230 juta 😳

[Chaofan Shou @shoucccc]

Claude code source code has been leaked via a map file in their npm registry!

Code: https://t.co/jBiMoOzt8G

[Matluthfi90 @Matluthfi90]

Rasanya idiom sofa so good dicipta pada hari raya 😴