Fluid

[Fluid @NdNym]

Every PD Array entry, in 2023... I'll make it easy, it'll be okay. ICT

Music Credit: Rachel Grae - It'll Be Okay
Video: ICT

[🧬Maxpein🧬 @maximumpain333]

Neuroscientists documented something strange: people who become "unnaturally intelligent", they run 5 daily protocols that restructure the brain. Most look too weird to take seriously.

1. Reverse Learning
Read the last chapter of every book first. Your brain calls this a "mystery gap", it switches into active reconstruction mode, firing more neural connections. This is how prodigies read. From the answer backward.

2. Theta State Immersion
Also called Sensory deprivation thinking
20 minutes daily in complete darkness with earplugs. Within 8-12 minutes, brainwaves drop into theta, the state Einstein called "combinatory play." Breakthroughs appear from nowhere. Not because you thought harder because you stopped blocking the signal.

3. Neural Cross-Wiring/Pattern interruption - Write with your non-dominant hand 10 minutes daily. Neuroscience calls this "contralateral activation." You force new pathways unused since infancy. Result: dominant thinking sharpens, you've broken the loop you were trapped in.

4. Cross-Domain Collision/Strategic Confusion.
Study something unrelated to your field weekly. Medieval poetry Monday. Quantum physics Wednesday. The brain begins "conceptual bridging" — connecting impossible dots into insights no specialist sees. This is how every genius thought. Not deeper. Wider.

5. Cognitive Inversion/Argument reversal
Defend the opposite of what you believe 15 minutes daily. Out loud. You're building "steel-manning" holding two opposing truths without collapsing. Your original position becomes unshakeable because you've seen every angle used to attack it.

Here's what no one tells you: intelligence isn't fixed. It's a frequency your nervous system tunes into or blocks. Most block it with the same 3 mental loops on repeat. Break the loops, and the intelligence was always there waiting.

The truly awake aren't smarter. They've stopped interfering with the signal.

[Yarchi @undefinedKi]

The winner of an Anthropic hackathon open sourced his entire Claude Code setup. 68 subagents, 286 skills, 94 commands, MIT license

ECC turns Claude Code from one assistant into a full engineering team. It plans before it builds, writes the failing test first, then reviews its own work from a fresh context.

The agents, by job:

Planning. Turns a one-line request into a blueprint you approve before any code exists.

Review. Reads your diff in a clean context, with separate reviewers for Go, Python, TypeScript, Rust, Java and more.

Build repair. One resolver per toolchain, down to PyTorch and CUDA errors.

Security. An OWASP pass on your code, plus a scanner that audits your own agent config for injection risks.

Architecture. System design calls before they turn into migrations.

Domain work. Database queries, ML pipelines, end-to-end tests, docs.

The skills, by category:

Testing. tdd-workflow gates you from red to green, with eval-harness and verification-loop sitting on top of it.

Language packs. Idioms, testing and security for Python, Go, Rust, C++, Django, Laravel, Spring Boot, Next.js.

Context. search-first makes it read the docs before writing, iterative-retrieval keeps subagents from dragging your whole repo into the window.

Shipping. Docker, CI/CD, health checks, rollbacks, and migration patterns for Prisma, Drizzle and Django.

Work that is not code. Writing in your voice, market research with sources, pitch decks, slide decks.

Start with one plan and one rules pack. Installing all 286 skills at once is the fastest way to make it worse.

[Fluid @NdNym]

@TakeProfitLLC I like Futures because the price is the same for everybody :) @ProTrader_Mike @AbuBakar1524390 @Ymehui44562

[Mahax @Mahaximus_]

Google Brain founder, Andrew Ng:

"Prompting will die in 6 months.

Loops and Graphs are what's replacing it."

In 2 hours, he shows exactly what the best engineers already build instead, and how to start building it yourself.

The missing piece most people skip: how to connect those loops into a graph that compounds every time it runs.

Watch it, then read the full guide on loops and graphs below.

[ard @ardchain]

this creator just built a zero-delay auto-aim system on an $8 microcontroller

he deployed a custom local AI algorithm on a cheap ESP-32 to track human movement with absolute 0-pixel accuracy.

the system completely eliminates standard computation delay. it processes the bounding box and moves the sniper reticle instantly, locking onto the target in real time. the next step is hooking it up to a physical robotic arm.

it proves you don't need a massive GPU rig to run complex computer vision.

1. runs locally on a microcontroller
2. local AI inference for zero latency
3. 100% targeting precision

when an eight-dollar chip can track movement with zero latency, AI becomes dangerous local infrastructure. this article breaks down exactly how the ESP-32 is powering this physical hardware shift.

[Prof. Dr. B. Gültekin Çetiner @drcetiner]

Üniversiteye gitmeden bilgisayar bilimi müfredatı tamamlanabilir mi?

GitHub’daki Açık Kaynak Bilgisayar Bilimleri Derecesi (Open Source Computer Science Degree), Harvard, MIT, Stanford, Princeton ve Duke gibi üniversitelerin derslerini bir bilgisayar bilimi lisans programı düzeninde bir araya getiriyor.

Programlama, matematik, bilgisayar sistemleri, algoritmalar, makine öğrenmesi, veritabanları ve kriptografi…

Üstelik her dersin süresi, haftalık çalışma yükü ve ön koşulu belirtilmiş.

Diploma vermiyor; fakat diplomaya giden bilgi haritasını ücretsiz sunuyor.

22 binden fazla yıldız alan bu kaynak, bilgisayar bilimini rastgele videolarla değil, sistemli biçimde öğrenmek isteyenler için gerçek bir yol haritası.

https://t.co/XSMSysd0Hd

[Alex Lieberman @businessbarista]

I stole this idea and now use it with every single employee.

It’s the best illustration I’ve seen of teaching someone to be high agency.

It says there are 5 levels of work:

Level 1: “There is a problem.”

Level 2: “There is a problem, and I’ve found some causes.”

Level 3: “Here’s the problem, here are some possible causes, and here are some possible solutions.”

Level 4: “Here’s the problem, here’s what I think caused it, here are some possible solutions, and here’s the one I think we should pick.”

Level 5: “I identified a problem, figured out what caused it, researched how to fix it, and I fixed it. Just wanted to keep you in the loop.”

Using this framework, here’s what I say to every new employee…

You will live at Level 4 from Day 1 and as we build trust you will rise to Level 5.

Being high agency doesn’t just mean tackling problems in this way. It means your entire way of working should be oriented to being a Level 4+ employee.

Plz feel free to steal it as well.

And ty @stephsmithio for the framework!

[Rossst.03 @Rossst_03]

Raphael Townshend, Stanford AI PhD and founder of Atomic AI (Forbes 30 Under 30):

""Wall Street will pay you $500K a year to build these models. I'd rather teach them to you for free."

this free stanford lecture holds the entire "77% win rate, pure math" random forest the 2026 quant threads sell you. and the guy teaching it didn't take the wall street money either, townshend went on to found an ai drug-discovery company and land forbes 30 under 30.

at the board he builds it from scratch: one decision tree overfits, so you grow hundreds on random subsets of the data and features and average them. the errors cancel, the signal survives. that's the whole "100 ai agents auditing the market" idea, minus the marketing.
the √N feature rule, the out-of-bag error, the probability output, all of it is standard ensemble learning, taught free by stanford for years. random forests came out of leo breiman's public paper in 2001. the thread didn't discover it. it renamed it.

and here's the honest part the win rate hides. a model that scored 77% on past data is describing the past, not promising the future. ensembles cut variance, they don't turn a weak edge into a real one, and markets shift under the model in ways the training set never warned about. the lecture is free. knowing whether your 77% survives out of sample and on live capital is exactly the part the post skips."

[Allen Braden @allen_explains]

50 WEBSITES GOOGLE DOESN'T WANT YOU TO KNOW

1. 12ft. io — bypass any paywall
2. libgen. is — millions of free textbooks
3. sci-hub. se — free research papers
4. alternativeto. net — find free app alternatives
5. justwatch. com — find where to stream anything
6. archive. org — access any old webpage ever
7. gutenberg. org — 70K free classic books
8. pdfdrive. com — free PDF downloads
9. openculture. com — free courses from top unis
10. wolframalpha. com — solve any math instantly
11. photopea. com — free Photoshop in browser
12. squoosh. app — compress any image free
13. remove. bg — remove image backgrounds free
14. cleanup. pictures — erase objects from photos
15. unscreen. com — remove video backgrounds
16. carbon. now. sh — turn code into art
17. ray. so — beautiful code screenshots
18. shots. so — free product mockups
19. smartmockups. com — mockups without Photoshop
20. haveibeenpwned. com — check if you were hacked
21. virustotal. com — scan any file for malware
22. privnote. com — send self destructing messages
23. temp-mail. org — disposable email instantly
24. file. io — share files that auto delete
25. archive. ph — save any webpage forever
26. similarsites. com — find any site alternatives
27. radio. garden — listen to any radio worldwide
28. everynoise. com — explore every music genre
29. tunefind. com — find songs from any show
30. musicforprogramming. net — music to focus with
31. mynoise. net — custom focus soundscapes
32. coffitivity. com — cafe sounds for productivity
33. elicit. org — AI research paper assistant
34. consensus. app — search what science agrees on
35. connectedpapers. com — map research visually
36. semanticscholar. org — free academic search
37. scispace. com — understand any research paper
38. summarize. tech — summarize any YouTube video
39. phind. com — AI search for developers
40. regex101. com — test any regex instantly
41. codebeautify. org — format any code cleanly
42. jsonformatter. org — read JSON like a human
43. explainshell. com — understand terminal commands
44. raindrop. io — bookmark manager that works
45. downdetector. com — check if any site is down
46. tineye. com — reverse image search
47. fast. com — check your internet speed
48. smallpdf. com — edit PDFs free
49. ilovepdf. com — merge and split PDFs
50. 10minutemail. com — temp email in seconds

The internet is bigger than Google shows you.

Most people never leave the first page.

[Prajwal Tomar @PrajwalTomar_]

Vibe coders are getting sued.

People are shipping apps with real users and skipping the boring stuff that kills them.

A 20+ year dev shared the pre-launch checklist every AI builder needs.

I added what I learned after shipping 60+ apps at the agency.

Don't skip this:

1. Protect yourself, not just your app. The moment you collect user data you're in legal territory (GDPR, CCPA). Have a privacy policy. Know where user data lives.

2. Row Level Security. Without RLS, anyone can open DevTools and read your entire database. Supabase → Auth → Policies. Zero policies means your app is naked. 5 min to fix.

3. Test the failure path, not just the happy path. Wrong password 5x. Reset for an email that doesn't exist. Verification link clicked twice. Signup with an existing email. Catches 80% of auth bugs.

4. Security baseline in 2 min. Prompt your AI: "Review my app as a security specialist and make sure I have strong security headers and a solid baseline security posture."

5. OWASP. Prompt: "Review my app against OWASP standards and highlight vulnerabilities." This is where SQL injection, XSS and auth bugs actually get caught.

6. Client-side validation is UX, not security. Attackers disable JS and hit your API directly. Validate again on the server. Every time.

7. AI code leaks data in 3 spots: .env values in the frontend, API responses returning too much, secrets in logs. Prompt: "Check my app for credential or sensitive data leaks in frontend or API routes."

8. API keys in the frontend means game over. If it's in the browser, assume it's already taken. Move it server-side or proxy it.

9. Rate limits before someone burns your API bill. Cap every endpoint hitting a paid API. I've watched a Supabase bill jump from $20 to $200 in a day.

10. CAPTCHA on public forms (Cloudflare Turnstile is free) plus CORS locked to your domain. 10 min, kills bot floods.

11. Error messages that don't leak. "User not found", not "SELECT * FROM users failed". Log full errors server-side, show users generic messages.

Build fast. Just don't ship naked.

(full breakdown in my article below)

[Nav Toor @heynavtoor]

Jack Dorsey put 1.3 million dollars into it.

Vitalik Buterin gave it 128 ETH.

You have never heard of it.

It is called SimpleX. It is a messenger. It does not need a phone number. It does not need an email. It does not need a username. It does not need a user ID.

Not a hidden ID. Not a hashed ID. None at all.

Signal needs your phone number. WhatsApp needs your phone number. Telegram needs your phone number. Every messenger you have ever called "private" knows the one thing your bank, your stalker, and your country use to identify you.

SimpleX knows nothing.

It was built by Evgeny Poberezkin, a London-based engineer. Before this he wrote Ajv, the JavaScript validator that runs in 300 million downloads every month. He could have built anything.

He built the messenger with no users on the server.

Here is the trick.

Every other messenger gives you an identity. SimpleX gives you a connection. Each chat is its own one-way pipe. The server never sees who you are talking to. It does not even know you exist as a user.

11,327 stars. AGPL-3.0. Version 7.0 beta released two days ago.

iOS. Android. macOS. Windows. Linux. Free.

A 4-person team in London is the last line of defense between your conversations and every government, every advertiser, and every database breach.

The most private messenger ever built is the one you have never heard of.

(Link in the comments)

[Kanika @KanikaBK]

OMG.. this is wild...

SOMEONE BUILT A FREE OPEN-SOURCE TOOL THAT TRANSCRIBES AND SUMMARIZES ANY VIDEO OR PODCAST IN SECONDS.

YouTube, TikTok, Apple Podcasts, SoundCloud, 30+ platforms. Paste the URL. Read the summary in 30 seconds.

↳ Transcribes in 100+ languages automatically
↳ Generates summaries in English, Hindi, Japanese, Spanish, French, and more
↳ Works with local files too, MP3, MP4, WAV, and more
↳ YouTube videos with subtitles process in under 10 seconds
↳ Bring your own AI model, OpenAI, OpenRouter, or any local LLM
↳ 100% open source, MIT license, free forever

That 2 hour podcast you bookmarked 3 months ago and never listened to.

[Valerie Anne Smith @ValerieAnne1970]

🚨THEY BURIED THIS FOR A REASON:

Hydroxychloroquine doesn’t just block viruses — it reprograms them into cancer hunters that zero in on tumor cells while leaving healthy ones untouched.

One of America's Frontline Doctors, Dr. Richard Urso exposes the truth. The real question: why was every trace of this research suppressed and ridiculed?

A dirt-cheap, decades-old drug that could selectively destroy cancer would obliterate the multi-trillion-dollar oncology cash machine overnight.

They don’t want cures. They want lifetime customers paying for toxic chemo, radiation, and “new” drugs that cost hundreds of thousands.

This information was deliberately buried.
The truth is leaking out again.

[matt @mattknowsai]

ESTA HERRAMIENTA REVELA EL PROMPT DETRÁS DE CUALQUIER REPOSITORIO DE GITHUB.

usarlo es muy sencillo:

→ cambia “github” por “gitreverse” en la url

→ te da el prompt para replicar el proyecto

sin instalar ni configurar nada.

solo editas la url.

ingeniería inversa de cualquier proyecto en segundos.

100% gratis.

enlace abajo 👇

[Alok Pathak @1005Alok85200]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/uZ2v8qbdkD

2 - Google:
https://t.co/Y4cpwivR3q

3 - Meta:
https://t.co/12OIxNe2pa

4 - NVIDIA:
https://t.co/SkEVwFVo45

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

6 - OpenAI:
https://t.co/5vUkc146yj

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

8 - AWS:
https://t.co/e5oRT6dPVi

9 - https://t.co/tCOyqZvYdD:
https://t.co/JUsjaicTAK

10 - Hugging Face:
https://t.co/CE9JyIFz5U

Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.

[OpenArt @openart_ai]

The way videos are made is about to change.

Introducing OpenArt Director - and a new way to create: VIBE DIRECTING.

The same way vibe coding changed how software gets built, Vibe Directing changes how videos are made.

All you need is an idea in your head and a conversation to see it come to life.

Describe what you want. Chat it into perfection. Walk away with something only you could have imagined, with the quality only a professional could deliver.

Because there's a director in all of us. 🎬

[Nav Toor @heynavtoor]

YouTube deleted 16.7 million videos in six months.

Gone.

Channels you subscribed to.
Tutorials you bookmarked.
Music you saved for later.
Creators you supported for years.

Gone.

So one engineer named Simon, originally from Switzerland, now living in South East Asia, built a tool that ends this forever.

It is called TubeArchivist.

Nearly 8,000 stars on GitHub. GPL-3.0. Free.

It downloads any YouTube channel you subscribe to, stores every video on your own server, and gives you a Netflix-style library you fully own.

No ads.
No "this video is no longer available."
No algorithm.
No Premium subscription.

Then YouTube did the unthinkable.

July 18, 2024. They rolled out the "Sign in to confirm you're not a bot" wall.
October 29, 2024. They started IP-banning entire data centers. Hetzner gone. OVH gone.

Coincidence.

Here is the wildest part.

TubeArchivist did not fold.

March 28, 2026. Simon shipped v0.5.10. New release. Same one engineer. 17x more commits than anyone else on the repo.

It still works.
It still downloads.
It still restores the dislike count YouTube deleted in November 2021.

One Swiss engineer vs. a trillion-dollar ad machine.

YouTube Premium costs $13.99 a month. $167.88 a year. Forever.

TubeArchivist costs zero. Forever.

But DO NOT install it. We should all keep paying Google $168 a year to watch the videos we already chose to watch.

100% Open Source. (Link in the comments)

[Shann³ @shannholmberg]

what is agent looping

for the last two years we prompted agents one task at a time. that is starting to change

instead of asking an agent to build the landing page and then driving every step yourself, you set up a loop that handles discovery, planning, the work, checking, and iterating until the goal is met

looping is a setup you build. almost any agent harness can run it, it just depends on how you wire it up

at its simplest, looping is one agent working on itself:

> researches
> drafts
> checks the draft against a goal
> fixes what is weak
> runs that cycle again until the work clears the requirements

you are not prompting each step anymore. the agent repeats the cycle for you

the bigger version is a fleet looping. you give an orchestrator agent a goal, it breaks the goal into pieces, hands each piece to a specialist agent, and those specialists hand smaller jobs to their own subagents

the whole tree keeps looping through discovery, planning, execution, and verification until the goal is met

one agent looping is like a person redoing their own draft. a fleet looping is a whole team running a project end-to-end

you create a goal, and the system runs the loop until it finishes within the reqs you set

open and closed looping:

OPEN LOOPING is exploratory. it still has conditions and a goal, but you give the agent or the fleet a wide space to move in. it can try different paths, discover things, build something you did not fully spec out

this is the exciting end, it is what Peter and others are doing, and tbh it is where I want to spend more time

the catch is cost, an open loop with real room to explore burns an insane amount of tokens. for the 90 percent of people without an unlimited budget it is not runnable yet, and pointed at projects with a loose standard it turns into a slop machine

CLOSED LOOPING is bounded. a human designs the end-to-end path first:

> clear goal
> defined steps
> an eval at each step
> a point where it stops or hands back to you (and feeds back performance data)

the agents still loop, but inside framework you built. it gets better every run because each pass feeds the next, and it runs on a normal budget because the path is tight.

for most marketing work, closed is the one that pays off today.

> the orchestrator owns the goal
> the specialists own the steps
> the subagents do the narrow work
> an eval gate make sure its not slop

[Yarchi @undefinedKi]

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC

Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team

Repo: affaan-m/ecc

This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products

What's inside:

A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review

Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work

The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed

This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to

Bookmark this

[SkalskiP @skalskip92]

supervision just hit 40,000 GitHub stars!

it now powers over 6.5k open-source computer vision projects, including all my demos like basketball AI

link: https://t.co/xXMRaS4ejS