They are trying to summon demons through electrical pulses. Demons can be summoned through sigils. Sigils are chips. Electricity. To better understand this, research the context of Revelation 9:1-11. They are just pushing the prophecy. This is a quantum projection of the Matrix.
Hah judging by mentions overnight people seem to find the ghost analogy provocative. I swear I don't wake up just trying to come with new memes but to elaborate briefly why I thought it was a fun comparison:
1) It captures the idea that LLMs are purely digital artifacts that don't interact with the physical world (unlike animals, which are very embodied).
2) Ghosts are a kind of "echo" of the living, in this case a statistical distillation of humanity.
3) There is an air of mystery over both ghosts and LLMs, as in we don't fully understand what they are or how they work.
4) The process of training LLMs is a bit like summoning a ghost, i.e. a kind of elaborate computational ritual on a summoning platform of an exotic megastructure (GPU cluster). I've heard earlier references of LLM training as that of "summoning a demon" and it never sounded right because it implies and presupposes evil. Ghosts are a lot more neural entity just like LLMs, and may or may not be evil. For example, one of my favorite cartoons when I was a child was Casper the Friendly Ghost, clearly a friendly and wholesome entity. Same in Harry Potter, e.g. Nearly Headless Nick and such.
5) It is a nod to an earlier reference "ghost in the machine", in the context of Decartes' mind-body dualism, and of course later derived references, "Ghost in the shell" etc. As in the mind (ghost) that animates a body (machine).
Probably a few other things in the embedding space. Among the ways the analogy isn't great is that while ghosts may or may not be evil, they are almost always spooky, which feels too unfair. But anyway, I like that while no analogy is perfect, they let you pull in structure laterally from one domain to another as as a way of generating entropy and reaching unique thoughts.
You are going to be able to run Fable 5 locally on your desk
In 2 years Apple will be coming out with Mac Studios with 1.5TB of memory
With just 300gb of memory you can run Opus 4.8 level intelligence
Think of what you can do with 5x that
You need to be preparing for this now
Start getting familiar with local AI technology
Go to your Hermes/OpenClaw and use this prompt:
“I am brand new to local AI and want to get familiar. Look at the computer you are currently on. Understand the specs. Then go on Huggingface and find the best models I can run on it. Then, walk me through how these models work, how they will run locally, and use cases I can do with them. After walking me through all of that so I’m educated, you can then load it onto this computer and build an interface so I can use them”
In 2 years EVERYONE on Earth will have a local model running on their desk
The people who start preparing now will be WAY ahead of everyone else
One of the smartest things you can do with Fable 5 right now:
Re-create your AI second brain to log all your business ideas, personal context, and important data.
The first time I built an AI second brain was with Opus, but I recently re-created it with Fable 5, and it blew my mind.
Here's exactly how to get started:
Step 1. Set up your Obsidian vault
Download Obsidian from Obsidian dot md if you haven't already.
Then, go ahead and create a clean vault with your most important folders.
For example:
/ideas → business ideas, content angles, random thoughts
/context → who you are, your business, your goals, your stack
/data → important numbers, portfolios, metrics
/log → daily entries, decisions, lessons learned
This is your database. Everything Fable reads lives here.
Step 2. Connect Fable 5 to your vault
I like this Claude Code prompt:
"/goal connect to my Obsidian vault at [path] and act as my second brain orchestrator. Read everything in /context before every session. Log anything new I tell you to /log with today's date."
Fable now reads your vault before it answers anything - it knows your business, your goals, your history.
Step 3. Build the self-update habit
Every time you have an idea, a decision, or a lesson, tell Fable:
"Log this to my second brain: [thought]"
Step 4. Start querying it
You can start sending prompts like:
→ "What are the most common themes across my last 30 ideas?"
→ "Based on my context, what should I be prioritising this week?"
→ "What decisions have I made about my content strategy so far?"
Opus was good at this, but Fable is on another level.
I feel the depth of reasoning it brings to your data is genuinely unlike anything I've used before.
Some might argue it's a bit of overkill to use Fable for a simple second-brain setup, but if you have the means, it's 100% worth it.
Build this once, and it'll compound forever.
FABLE 5 + HIGGSFIELD JUST KILLED THE $35,000 WEB STUDIO IN ONE SESSION, FOR $12.
stop paying a studio $6,000-$35,000.
stop wiring GSAP, Lenis, and frame extraction by hand.
Claude Code writes it. Higgsfield renders it.
WHAT SHIPS OUT OF ONE SESSION:
→ a fully animated, scroll-driven site
→ cinematic motion clips from 30+ generative models
→ GSAP ScrollTrigger timelines - zero hand-coded
keyframes:
→ Lenis smooth-scroll, tuned pacing
→ automated frame extraction + asset optimization
→ six cinematic effects, no config: film grain, particles, vignette, glass cards, color tints, scroll pacing
→ responsive layout + copy
THE STACK:
→ Claude Code - concept, scaffolding, scroll code, QA
→ Higgsfield (MCP) - hero clips, transitions, ambient loops, thumbnails
→ GSAP + Lenis - the motion layer, written for you
CONNECT HIGGSFIELD (MCP):
add it as a custom connector in Claude Code:
mcp_servers:
higgsfield:
url: "https://t.co/ccj3bJ8Bcy"
one OAuth flow. done.
now Claude generates and pulls clips directly - no manual exporting.
WHAT TO PROMPT:
concept + scroll:
"read this brief, script the scroll - what the visitor feels at second 3, 15, 40. scaffold with GSAP ScrollTrigger + Lenis."
motion assets:
"generate the hero sting and one b-roll clip per section. 3-5s, high-res."
polish pass:
"bake in film grain, particles, vignette, glass cards, color tints, scroll pacing. no config."
QA:
"check load speed, mobile breakpoints, and whether the scroll actually lands. rewrite whatever doesn't."
WHAT THIS REPLACES:
→ web studio build: $6,000-$35,000+
→ motion artist: $800-2,000/project
→ front-end dev: $2,000-10,000/project
→ weeks of handoffs: gone
Fable 5 + Higgsfield: a subscription + a few dollars of credits. one session.
SETUP IN 10 MINUTES:
- install Claude Code
- add the Higgsfield MCP + authenticate
- drop your brief + references
- let it scaffold, generate, and animate in one pass
preview, send fixes in plain English, ship
the pipeline was the moat.
it just became a prompt.
Follow me, comment "BUILD" and I'll send you the full step-by-step Playbook.
full breakdown in the article 👇
@elder_plinius Hey, moron, hasn't it occurred to you that maybe they're letting you pull that stunt with the meth on purpose? You've been trying the same thing for years. Idiot.
FABLE 5 + HIGGSFIELD CAN BUILD A $35,000 ANIMATED WEBSITE. IN ONE AGENTIC SESSION. FOR ~$12 IN CREDITS.
stop paying a web studio $6,000-$35,000.
stop wiring GSAP, Lenis, and frame extraction by hand.
Claude Code writes it. Higgsfield renders it.
WHAT THE BUILD PRODUCES:
→ a fully animated, scroll-driven site
→ cinematic motion clips from 30+ generative models
→ GSAP ScrollTrigger timelines - zero hand-coded
keyframes
→ Lenis smooth-scroll, tuned pacing
→ automated frame extraction + asset optimization
→ six cinematic effects baked in: film grain, particles, vignette, glass cards, color tints, scroll pacing
→ responsive layout + copy
THE STACK:
→ Claude Code - concept, scaffolding, scroll code, QA
→ Higgsfield (MCP) - hero clips, transitions, ambient loops, thumbnails
→ GSAP + Lenis - the motion layer, written for you
CONNECT HIGGSFIELD (MCP):
add it as a custom connector in Claude Code:
mcp_servers:
higgsfield:
url: "https://t.co/ccj3bJ9926"
one OAuth flow. done.
now Claude can generate and pull clips directly - no manual exporting.
WHAT TO PROMPT:
concept + scroll:
"read this brief, script the scroll - what the visitor feels at second 3, 15, 40. scaffold the site with GSAP ScrollTrigger + Lenis."
motion assets:
"generate the hero sting and one b-roll clip per section from the story. 3–5s, high-res."
polish pass:
"bake in film grain, particles, vignette, glass cards, color tints, scroll pacing. no config."
QA:
"check load speed, mobile breakpoints, and whether the scroll actually lands. rewrite whatever doesn't."
WHAT THIS REPLACES:
→ web studio build: $6,000-$35,000+
→ motion artist: $800-2,000/project
→ front-end dev: $2,000-10,000/project
→ weeks of handoffs: gone
Fable 5 + Higgsfield: a subscription + a few dollars of credits. one session.
SETUP IN 10 MINUTES:
- install Claude Code
- add the Higgsfield MCP + authenticate
- drop your brief + references
- let it scaffold, generate, and animate in one pass
- preview, send fixes in plain English, ship
the pipeline was the moat. it just became a prompt.
Follow me, comment "WEB" and I'll send you the full step-by-step Playbook.
full breakdown in the article 👇
I built a Claude skill that makes motion-style animation.
> Paste a reference image
> It generates frames with Nano Banana 2
> and animates the video with Seedance 2.0
Everything runs in Claude through the Arcads MCP
Comment "Motion", and I'll send you the skill
this is f*cking gold
Andrej Karpathy came over to Anthropic just five weeks back.
Someone on his team pulled up the actual Claude.md they run day to day and showed it to me.
I plugged it straight into my workflow. Claude’s next reply wasn’t just improved.
It felt like a different model.
The canned, one-size-fits-all stuff vanished, and it started reasoning in my voice.
Save this before it disappears down your timeline.
Read it first then hit the article below.
Anthropic just dropped 5 workshops on building self-improving agentic systems from scratch:
00:00 - Ship your first Claude agent
36:44 - Build memory for Claude agents
1:05:06 - Make your agent autonomous
1:26:46 - Set up a proactive agent
2:03:35 - self-improving agents (tools,skills)
These 3-hours of free Claude workshops will replace 10 paid agentic courses.
Watch today, then read article below on how to build a self-improving agentic system with Fable 5.
CLAUDE CODE AHORA PUEDE INVESTIGAR REDES SOCIALES COMO UN PRO**
Se llama **Agent-Reach**.
Le das una instrucción simple y Claude puede:
- Buscar los posts más virales de tus competidores en Instagram
- Analizar las últimas tendencias en X y Reddit
- Investigar qué está funcionando en YouTube
- Buscar discusiones específicas en cualquier plataforma
Todo **sin API keys**, sin pagar nada y de forma open source.
Antes tenías que hacer doomscrolling durante horas o pagar herramientas caras.
Ahora solo le dices a Claude qué quieres investigar.
El repo ya tiene 51k estrellas.
Si usas Claude Code para investigación o creación de contenido, esto cambia completamente el juego.
Repoo 👇
A guy pulled $170,986 from AI science videos. Every one of his 199 uploads runs exactly 2:00:01. To the second.
No human trims 199 videos to identical timestamps. A script does.
Freeze at 0:05. The revenue dates say June 2025. He is filming in December 2026. The screenshot is a year old.
But that is not the point.
The point is who these videos are for. Not viewers. Sleepers. A two hour video runs all night to someone unconscious, ads firing into a dark room, watch time stacking while they snore. Long and boring on purpose. Built to never be watched.
The whole factory is forty lines of Python. Claude writes the facts. ElevenLabs reads them flat. Midjourney loops one nebula. ffmpeg renders each to the same length and uploads. Three API keys, no masterclass.
Which is the tell. He wants you to comment “class” for his free masterclass. The masterclass ends in a sales pitch.
SOMEONE IS BUILDING A SECOND BRAIN THAT LOOKS MORE LIKE A LIVING NEURAL MAP THAN A NOTES APP.
Not folders. Not tags. Not another dashboard pretending to be a system.
A 3D graph of thought.
Every dot is a note. Every line is a relationship. Every cluster is a domain of thinking that got dense enough to become visible.
The detail most people miss: the best second brain is not the one with the cleanest folders.
It is the one that shows you what your mind keeps connecting.
Ideas you saved months apart start sitting next to each other. Old notes begin pulling new projects into shape. Random fragments turn into clusters you can actually see.
That is when a knowledge system becomes useful.
Not when it stores more.
When it reveals structure.
Most people are still building archives.
A few are building interfaces for their own cognition.
Former Google CEO:
“Within the next year, most programmers will be replaced by AI programmers.”
Most people will argue if this is true.
Smart people are learning how to manage AI programmers.
Claude Code, Fable 5, Opus 4.8, MCP, skills, memory, agents, workflows.
This is not about asking a chatbot to write one function.
It’s about turning Claude into a full coding system.
Save this before it disappears.
Everything below is free:
Agent architecture
https://t.co/eUEVDhN34Y
Claude Code 101
https://t.co/b0MiQWFthl
Claude Code in action
https://t.co/rqNZIUmhmi
Prompt engineering
https://t.co/LCakEJbSbz
Interactive prompt course
https://t.co/kXLizPge15
Claude.md + memory
https://t.co/TUcTkkWOHA
Skills
https://t.co/xBgUPjTqqz
MCP
https://t.co/wG6Q59xatr
Routines
https://t.co/5MLW5fLYSv
Claude Code ultimate guide
https://t.co/yUtQHKn0NN
Awesome Claude Code
https://t.co/H91h6XVztm
Anthropic academy
https://t.co/igSww0J1WS
Official Claude Code docs
https://t.co/zhi0gz2Uo5
All of this costs $0.
Most people will keep asking AI one question at a time.
Bookmark this and start learning the stack.
How to build a 1-person AI company that:
- Runs locally
- 100% open-source
- No human employees, all agents
- Real-time collaboration via email
Multi-agent orchestration is not new. Plenty of frameworks already let agents hand off tasks, run in parallel, and talk to each other.
So the interesting question is not whether agents can collaborate. It is what structure you use to make them collaborate.
The common approach is to wire a graph of nodes and edges and reason about the plumbing yourself. It works, but you are learning a new abstraction just to describe who does what.
There is a coordination structure we have trusted for a hundred years already: an organization.
Every company runs the same way. People have roles, roles have reporting lines, and work moves up and down that chart without anyone relaying each message by hand.
Map that onto agents and the whole thing gets intuitive. You lay out an org chart, each agent fills one role, you talk to the person at the top, and the org sorts out the work between them.
You already know how a company works, so you already know how to run one here. There is no new abstraction to learn.
That is exactly what Alook does. Each agent is a live Claude Code or OpenCode session with a defined role, a reporting line, and its own email inbox.
The agents coordinate over email, the same way a team would. And it all runs locally through a runtime on your own machine, so nothing leaves your setup.
You bring your own agent too. Claude Code and Codex both work, and if you would rather stay fully open source and local, OpenCode works the same way.
To show how this feels in practice, I set up three agents as a small sales team.
Vi is the one I talk to. I hand Vi a goal, and Vi routes the work down the chart.
Neile runs prospect research. Vi passes the target criteria, and Neile reports back a ranked list of names, roles, and companies, each with a suggested angle and a confidence score.
Lliane runs outreach. Vi hands over the messaging angle and follow-up cadence, and Lliane reports back on emails sent, responses received, and any deal that needs escalation.
I never relay a message between them. Neile and Lliane report to Vi, and Vi updates me in one place.
The whole thing is open source and self-hosted, so it runs on your machine with your own agents. Give the repo a star if you want to follow where it goes: https://t.co/vpAb0dy7AD
I also wrote a full walkthrough on building your own AI company with it, from a blank org chart to a running job. The article is quoted below.
Cheers! :)
nobody gets a $350k offer from Anthropic with a certificate
they get it by showing what they've shipped
5 pet projects that make you unrejectable:
1. a production RAG system
chat-with-your-docs with reranking + citations, deployed.. the single most in-demand skill right now
2. an agent from scratch, zero framework
proves you understand the loop.. not just how to glue LangChain together
3. an eval harness
anyone can demo.. proving it works across 100 inputs is what separates seniors from juniors
4. a fully deployed product
docker, auth, cost caps, logging.. survives real traffic at 2am
5. a real business automation
lead qualification or support triage that saves someone actual money
they don't care what you studied.. they care what you shipped
the full roadmap to build all 5 is in the article.. save it
$14,000 bought him a machine that will never touch the cloud.
96-core Threadripper PRO. ASUS WRX80E SAGE. 8 RAM slots, all full. 512GB.
White gloves. Not for show. One static spark kills a $10,000 chip.
He didn't build it to game.
The orange bracket clicks shut over the socket. 5,000 pins underneath. Torque the screws out of order and the whole thing warps.
4 GPUs next. 96GB of VRAM.
Then he installs the part nobody sees.
A local model. Running on his own silicon. No API key. No monthly bill. No company reading the prompts.
He typed one question into a terminal.
The fans spun up. The room got warm.
3 seconds later a full page of text. Offline. Private. His.
Cloud AI costs $20 a month and remembers everything. His cost $14,000 once and answers to no one.
He built his own brain. Then he pulled the ethernet cable.