Zephyr

Muslim| Physicist | Educator |Nerd |Tech Lover. I am into Materials research , A USTC Alumni, and a researcher at the Chinese Academy of Sciences.

[Zephyr @MLAdam007]

@itzchristunique I love this! May you earn folds of what he has offered!

[Zephyr @MLAdam007]

@Abunaah Mstw

[Akintola Steve @Akintola_steve]

If you are building ANY app, website, SaaS, AI tool or digital product used by people in Nigeria OR Europe, this can save you from massive fines in 2026.

Exact compliance checklist for NDPA + GDPR: documents you MUST have, where they apply to your build, plus clear Do’s and Don’ts.

Extremely practical for founders.

Save & share!

[Param @ParamSiddh]

1) I switched to AI Engineering 1 years ago!
It was the best career move I ever made.

If you want to start today, here's a roadmap:

[Alfie Carter @AlfieJCarter]

R.I.P. paying full Opus prices for every single AI task.

A properly routed open-source Claude stack can replace $200+ a month in frontier model spend.

It is not as easy as just swapping the model name and hoping for the same output.

But if you start today, you can have GLM 5.2 wired into Claude Code, a local model running on your machine with zero token cost, and your first autonomous loop built, verified, and running unsupervised by end of this week.

I usually charge $99 for access to this playbook but today, it's free.

Like this post + comment 'STACK' and I'll DM you the full guide for free.

The guide covers three things.

How to set up local models on your hardware in 15 minutes using Ollama, which model runs best at your RAM level, and the decision engine that tells you which of your tasks belong on local, which go to a cheap API like GLM 5.2 at $1.40 per million tokens, and which 20% actually justify Opus.

How to wire GLM 5.2 into Claude Code in under 5 minutes by editing one JSON config file so the same harness, skills, and workflows you already have run on a 5x cheaper engine for 80% of your tasks.

How to stop prompting and start building loops. The 4-condition test that tells you which tasks are ready to loop, the four blocks every loop needs, and the copy-paste prompt that builds your first loop orchestration skill with training mode, memory, and a verification step included.

(Must be following, or I can't message.)

Taking this down in 48 hours.

[ZEUS⚡️ @zeuuss_01]

THIS SITE COST AROUND $12 IN CREDITS TO BUILD. STUDIOS QUOTE $35,000 FOR THE SAME THING.

What's on screen isn't a basic landing page.

It's a fully animated, scroll-driven site, generated end to end in one agentic session with Claude Code + Higgsfield.

What's actually on the page:

→ Cinematic motion clips pulled from 30+ generative models
→ Scroll animations written automatically - zero hand-coded keyframes
→ 6 cinematic effects baked in with no config: film grain, particles, vignette, glass cards, color tints, scroll pacing

Scroll the demo and one question won't go away: did Claude really assemble all of this in a single pass?

For boutique studios billing $100-149/hr, that question lands like a verdict.

What it normally takes:

→ A designer, a motion artist, and a developer
→ Weeks of handoffs between them
→ 6 systems wired by hand - GSAP ScrollTrigger, Lenis smooth-scroll, frame extraction, asset optimization, layout, copy

That pipeline was the moat. It's what justified the invoice.

Here's the part studios and their clients won't enjoy hearing.

The price gap:

→ Boutique agency build: $6,000-$35,000+
→ Industry average project: ~$5,280
→ Delivery cost: a Claude subscription + a few dollars of Higgsfield credits
→ Timeline: weeks of production → a single session

One operator can now run all six systems in one pass and ship a working site - without touching a frame extractor or writing a CSS keyframe by hand.

Full breakdown of how it's built in the article below.

Save it & read today 👇

[Ray Dalio @RayDalio]

I recently spent a month in Asia, including 10 days in China, where I met with senior policy makers in several countries, and I found that over the past few months, there has been a big shift in the world order. I share my perspective in my latest article. 

As always, I welcome your questions and thoughts.

[Ahmad @TheAhmadOsman]

DROP EVERYTHING

The bible for running LLMs locally is now available online to read for free

Covers what to use on

- Laptop / edge / odd hardware
- Mac-first workflows
- Single RTX GPUs
- 2-4+ NVIDIA / CUDA GPUs
- General production serving
- Long-context / MoE / routing
- NVIDIA max performance
- Cluster orchestration

Software

- llama.cpp
- MLX / MLX-LM
- ExLlamaV2
- ExLlamaV3
- vLLM
- SGLang
- TensorRT-LLM
- NVIDIA Dynamo

You should read this, and if you cannot now then you most definitely wanna bookmark it for later

Local AI FTW

[sprint @sspriint]

A creator did $6,766 in 24 hours selling one $39 product. He built the whole store in an afternoon.

He skipped the move everyone makes: asking ChatGPT to find a winning product. Instead he opened Caledata, sorted TikTok Shop by revenue, and pulled a rechargeable camping fan that had done $289,000 in 30 days and never touched Facebook.

Then AI did the labor. StoreLaunch turned the product link into a finished Shopify store in minutes. Claude plus Higgsfield generated a UGC creator holding the fan, four video chunks, b-roll, all of it. He stitched the clips, pushed three broad ad sets to Meta, and ran them the same day.

No filming. No content creators. No two-week wait. One product, one afternoon, sales by night.

The proof he isn't guessing: a $1.84M store he still runs alone.

Find it on TikTok. Sell it on Facebook. Let AI do the rest.

[NeilXbt @neil_xbt]

A dedicated knowledge management hire costs $70,000/year to do what this n8n and Obsidian system does automatically for the cost of an emoji reaction!

> A team member tags a Slack message. That is the entire human action required. n8n detects the tag, retrieves the full message context, and routes it to Claude.

> Claude extracts the core insight, identifies the category, structures it as a vault note, and suggests connections to existing knowledge.

> n8n writes the finished note into a shared Obsidian vault within ninety seconds.

The gap between teams whose institutional knowledge leaves the day the person who learned it does and teams running a system that captures it automatically is not discipline.

It is the architecture, and this one is already managing twelve people across two teams.

Bookmark this so you don't lose it!

Follow @neil_xbt for more n8n and Obsidian builds that show you what zero-maintenance team intelligence actually requires.

[Alex Finn @AlexFinn]

Truly unbelievable

GLM 5.2 just released and it's an open weights model you can run locally

The insane part is, it's just as good as Opus 4.8

Unlimited, free super intelligence running on your desk

In this video I cover how it works, and how to set up your first local model:

[KingWilliam @kingwilliam_]

SOMEONE WIRED 2,000 OF THEIR NOTES INTO A 3D BRAIN CLAUDE CAN READ - AND IT RUNS ON THE SAME TRICK I USE 23 TIMES

most people send Claude 100+ messages a week re-explaining who they are - and it forgets 100% of it the second the tab closes

this is the opposite. 1 file. written 1 time. read by Claude before every single task, forever

it's called SKILL.md. each one teaches Claude exactly 1 job - your voice, your research, your planning - and it never asks twice

the 3D brain in the video is just 1 skill maxed out: a memory pulled from 2,000 of your own notes, not a billion pages of internet sludge

i run 23 of them. same model everyone else opens - mine just shows up already knowing the work, 10x sharper

30 minutes for the first one. 5 minutes each after. 23 files, and the model turns into a different one

a prompt helps for 1 message. a skill pays you back every session, for life

the article below is the full folder - all 23, start to finish

[CyrilXBT @cyrilXBT]

GOOGLE CEO SUNDAR PICHAI: "IF YOU DON'T LEARN HOW TO ORCHESTRATE AGENTS NOW, YOU'LL SPEND 2027 CATCHING UP TO PEOPLE WHO STARTED TODAY."

30 minutes on why the best engineers stopped writing code line by line and started orchestrating agents instead.

Most people think building an agent requires an engineering degree.

It doesn't.

It requires one guide and one afternoon.
Watch the interview. Then save the exact setup below.

One guide. One afternoon. That's all it takes.

The gap between you and the engineers winning in 2027 closes this weekend.

[Khairallah AL-Awady @eng_khairallah1]

this is f*cking gold

How to build your first AI agent (Full guide)

if I had this a year ago, I would've shipped my first app in a day instead of 2 weeks

in the right hands, this changes everything:

[Alex @alexxgrowth]

https://t.co/fWHuJ4VrxU

[Flandermaxx @Flandermaxx]

A 27 YEAR OLD BANGALORE DEV BOUGHT A DECOMMISSIONED BANK SERVER RACK FOR $3,200 AT AUCTION AND NOW PULLS $24,000 A MONTH FINE TUNING LLMs FOR US SAAS COMPANIES

raj is 27, bangalore, one bedroom flat with a ceiling fan, won the lot off a state bank IT refresh in march, four 2U storage shelves with 96TB of enterprise SAS drives and a managed switch

added two custom towers with RTX 3090s under the desk, runs llama 3.3 70B and fine tunes indic and english variants for 11 US saas clients on hugging face

pause at 0:30 on the finger pointing at the yellow drive caddies, that is gear that sold new for $180,000

$24,000 in, $61 in karnataka power, the auction lot paid itself back in 4 days, no claude bill no rate limits, nothing leaves the flat

the window is open, follow and bookmark before it closes

[Yarchi @undefinedKi]

A 26-YEAR-OLD AI ENGINEER WHOSE BIRMINGHAM THESIS OUTPERFORMED GOOGLE SCHOLAR BY 50% JUST SHIPPED GRAPHIFY: ONE COMMAND TURNS ANY FOLDER INTO A CLAUDE CODE SECOND BRAIN

Safi Shamsi built Graphify 48 hours after Karpathy posted his LLM wiki idea. It turns any folder, codebase, docs, PDFs, into a knowledge graph Claude reads instead of grepping. Up to 43x fewer tokens per query. The trick almost nobody is using yet: one flag exports the entire graph as a fully-linked Obsidian vault.

Repo: /safishamsi/graphify

Setup, end to end:

1. Install: uv tool install graphifyy (or pipx install graphifyy). Verify with graphify --version.

2. Install the skill in Claude Code: graphify claude install. This wires Graphify into Claude Code so you can call it as a skill.

3. Open the folder you want mapped in Claude Code. In the terminal: graphify . It extracts every concept and builds the graph in graphify-out/.

4. Export to Obsidian: graphify . --obsidian. Writes one note per concept, every relationship as a wikilink, every node linked back to its source.

5. Open the new vault in Obsidian (Manage vaults → Open folder as a vault), or drag it as a subfolder into your existing one.

That's it. Your Claude Code instance now has a navigable map of the codebase that loads instantly instead of re-reading files every session.

Full step-by-step build of the Claude + Obsidian second brain in the article below.

Bookmark this

[Raytar @Raytar]

My friend applied to 200 tech jobs in two years. No CS degree. No callbacks.

Last month Anthropic offered him $750,000.

All because of one Stanford lecture. Free on YouTube. One hour.

A professor explains how ChatGPT actually works. Not the Twitter version. The real one.

He watched it in bed. Paused it eleven times. After that hour he told me something I didn't believe. "It's embarrassingly simple."

Three days later he applied to Anthropic.

Every single question they asked him, he knew from that video.

[Milady @onchainmilady]

🚨 ANTHROPIC TRIED TO BAN HIS GITHUB

Chinese guy published 70B parameter LLM,

20,000 starts on Github + a lawsuit from big AI companies

Here's what it does:

> runs on Python
> even shitty mac or pc is enough
> flat memory
> loads a model layer by layer
> 100% local

This model can close 100% needs of most businesses,

which would pay $3,000/a month for a trained version.

It needs just 4 gb of GPU,

so using this technology my gaming pc with 12 gb GPU will run 200B parameter model with ease

Github link is below. Why you should go local too.

[Vox @Voxyz_ai]

stop telling Claude Code/Codex "the colors look off".
stop telling Claude Code/Codex "the font's ugly".
stop telling Claude Code/Codex "the spacing's weird".

you never gave it a 𝗱𝗲𝘀𝗶𝗴𝗻 𝘀𝘆𝘀𝘁𝗲𝗺, so it ships defaults, and you nitpick every build.

here are 8 prompts and goals you can copy-paste directly.