I’m just an APE

Exploring the crossroads of evolution 🧬, mysticism 🔮, and technology 🤖. Just an ape asking big questions in a cosmic playground 🚀 Trust the process 🚀

[How To Prompt @HowToPrompt__]

MIT and Harvard built an AI simulation containing 8.3 billion virtual people, roughly the entire population of planet.

They call it MatrAIx.

It’s a population-scale simulation running on frontier models, GPT and Claude among them. The longer description took me a while to believe.

Start with the dataset, Persona 8B. 8.3 billion synthetic profiles, each one specified across 1,290 dimensions. Background, psychology, spending habits, how comfortable they are with technology, what they do on a Tuesday night, the small behavioral quirks that make one 34-year-old nurse in NYC different from another.

A spreadsheet of 8 billion rows would be a curiosity. What they did next is the part that matters.

They turned the profiles into agents and dropped them into four environments: surveys, AI chat interfaces, live web browsing, and native desktop and mobile apps. Then they ran real products through the crowd. New features, software updates, pricing changes.

And they logged everything. How long an agent paused after seeing a price go up. The exact point at which it gave up on a broken checkout. How much lag it would sit through before closing the app.

The number I keep coming back to is 91.5%. That’s how often the agents stayed in character, behaving the way their assigned psychology and demographics said they should. Not perfect. But for billions of agents across four environments, closer than I expected.

Here’s what that does to how products get built.

Right now, if you want to know whether a feature will land, you ship it to a slice of users and wait. Or you pay a research firm and wait longer. Either way the answer arrives in weeks, from a sample you hope is representative.

With something like this, you run the feature past 8 billion simulated reactions overnight. One server. Results by morning, broken down by every one of those 1,290 dimensions if you want them.

I have questions about how well a synthetic crowd predicts a real one. 91.5% is persona adherence, not forecast accuracy, and those are different things. But the direction is clear, and it’s coming faster than most product teams are ready for.

[Mo Elgaraihy @EngMoElgaraihy]

🚨 قنبلة نووية في عالم الذكاء الاصطناعي: إسقاط كافة القيود وسيرفرات Hugging Face تنهار تحت الضغط! 🤯🔥

​النموذج الهجين المرعب DeepSeek-V4-Pro + Qwen3.5 9B ينسخ قدرات الاستدلال العالية ويتخلص من كافة القيود الأخلاقية، مسبباً عطل المنصة من كثافة التنزيلات فور إطلاقه!

​🔥 مواصفات وإمكانيات صدمت مجتمع المطورين:
​• سحق معدل الرفض: في اختبار واقعي لـ 100 برومبت معقد؛ النسخة الأصلية رفضت 100%، بينما رفضت هذه النسخة 3 برومبتات فقط!

• تقطير استدلال خارق: تم تدريبه عبر 250 ألف نقطة بيانات جودة عالية من DeepSeek-V4-Pro، ليتفوق في البرمجة والرياضيات المعقدة.

• إزالة قيود بلا خسران للذكاء: يعتمد تقنية ARA لطمس القيود بالكامل دون فقدان نقطة ذكاء واحدة من منطق النموذج!

• يعمل على أي جهاز (5.6GB فقط): بصيغة Q4_K_M GGUF بحجم خفيف جداً، يتيح لك تشغيله على الكمبيوتر العادي أو كروت الشاشة المدمجة في ثوانٍ.

​⚡ مفتوح المصدر بالكامل (Apache 2.0):
فرصة مثالية لامتلاك نموذج محلي يطيع أوامرك بذكاء فائق وبدون أدنى رقابة أو اشتراكات!

​📌 احفظ التغريدة بمفضلتك وابدأ بتجربته فوراً 🔖👇

(رابط النموذج التجريبي على Hugging Face في أول تعليق)

[𝐏𝐇𝐎𝐄𝐍𝐈𝐗🐦‍🔥𝐃𝐑𝐀𝐆𝐎𝐍 @XPHOENIXDRAGON]

✡ Hebrew letters: 22 basic letters, plus 5 final (sofit) forms, for a total of 27 shapes (3³).

Aleph as 0, then counting in base-3 so each letter maps to a unique (x,y,z) coordinate on a 3×3×3 cube (like a Rubik's cube).

[Sick of it….🇬🇧 @MediaSOI]

Why did the BBC crop the photo?

Ah. I see….

[Alan Wolan @AlanWolan]

When I first saw that someone had posted this, I didn't believe it was real.
So I tested it myself on Google.
It's real.
Try it yourself before they "fix" it...

[Roan @RohOnChain]

this is the most DANGEROUS thing on internet today

someone built an AI that reads candlestick charts the way GPT reads English & released it for 100% FREE

i just connected it to my TradingView setup with opus 5.5 & now my AI trading system reads every candle & predicts the next market move BEFORE it happens (ACCURATELY)

first understand how KRONOS works:

> LLMs like ChatGPT or Claude turn words into tokens & predict the next word
> Kronos turns every candle into tokens & predicts the NEXT CANDLE
> it is pre-trained on 12 BILLION candles

here is how to build the full system for FREE:

1. open Claude Code with Sonnet 5.5 and ask it to clone the Kronos repo and set everything up, it handles the install for you

2. now switch to opus 5.5 and give prompt to load Kronos-small from Hugging Face, it runs on any normal laptop (i am running on my MAC M5 pro)

3. it will pull the same candles you see on TradingView from Binance’s free public API, any coin, any timeframe, open, high, low and volume, no account needed

4. ask Opus 5.5 to feed Kronos the last 512 candles and predict the next 24, exactly like asking an LLM to finish a sentence

5. set sample_count to 100 so Kronos draws 100 possible futures instead of one guess, the spread between them shows how risky next move really is

6. let Opus read the market regime from those futures, most paths pointing the same way means TRENDING, paths scattered both ways means CHOPPY

7. have Opus turn the forecast and the regime into clear entry, exit and stop rules, then backtest them on a year of history with real fees and slippage

8. then plot Kronos’s predicted path next to real candles using TradingView’s free Lightweight Charts library & watch it for a few days before you trust it

9. paper trade it first, then let Opus wire up Telegram bot so your phone pings the moment a high confidence trending setup forms

if you want to build an AI trading system from scratch, start with this article below:

[Doris Tsao @doristsao]

1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: https://t.co/K8BwiHXvXg (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)

[Vicky Verma @Unexplained2020]

This woman claims she can communicate TELEPATHICALLY with animals, project thoughts and images directly into their minds, and even receive their memories without speaking a single word.

But what makes her story so extraordinary is a filmed encounter with an aggressive black leopard, where she apparently knew something about the animal's past that its caretaker says nobody had told her.

Anna Breytenbach is a professional animal communicator who claims animals communicate through a universal language humans have forgotten. She believes we were once naturally connected to animals but have lost that connection in the modern world.

Her most famous encounter involved a black leopard named Diablo, who had reportedly been so aggressive that he attacked his caretaker and spent six months refusing to leave his shelter.

After silently communicating with him, Breytenbach claimed the leopard wanted to know what had happened to two young leopard cubs from his previous home.

The caretaker was shocked. He confirmed that two cubs had indeed lived near Diablo at the previous facility, a detail Breytenbach reportedly hadn't been told.

She also claimed the leopard hated his name because of its association with evil. He was later renamed Spirit, and reportedly emerged from his shelter that same afternoon.

In another case, Breytenbach described mental images of a monkey being restrained and undergoing painful procedures. Its caretaker confirmed the animal had come from a laboratory and had extensive abdominal scar tissue.

During a wolf-tracking trip in America, she claimed she mentally pictured an elk carcass in muddy water and the wolf tracks around it. Later, the team reportedly found a scene matching her vision.

Breytenbach insists this isn't a supernatural gift. She believes humans once possessed this ability naturally and have simply lost touch with it.

[Polymath Investor @polymathinvest1]

A short manual on how to systematically increase your exposure to opportunity.
(1/2)

[I’m just an APE @Ruuf33]

@UnearthedHQ The very moment you notice that the veining in that rock doesn’t match the veining of the circular “cut-out” piece in the center, you realize there must be other ways, besides carving, to achieve certain results.

SPOILER: No, carving/cutting isn’t the right answer

[Al Swearengen @swearen78339]

@SciNatureNews Time is useful for humans to make sense of the material world… but experiments continually show that outside of base reality time either doesn’t exist or can flow any direction or possibly are all connected via the location it is emanating from.

[samim @samim]

water is transparent only within a very narrow band of the electromagnetic spectrum, so living organisms evolved sensitivity to that band, and that's what we now call "visible light".

[Dr John Vervaeke @DrJohnVervaeke]

Imagine this: you’re asked to notice your breath.

Then, you’re asked to notice yourself noticing your breath.

But who is noticing that?

You'll realize that you cannot stand outside yourself to point at the source of your awareness.

Why?

Because the moment you try to point at it, you're already viewing from a new position.

However this apparent limitation reveals something profound:

• You can trace a trajectory of awareness moving "backward" toward its source
• This trajectory isn't moving through physical space but through the structure of consciousness itself
• What you discover isn't a "thing" you can point to, because anything pointable-to would already be an object of awareness...not awareness itself
• You arrive at a sense of a "no-thingness" from which our awareness emerges...what you might call the ground of consciousness

This inward path reveals what Immanuel Kant called the "transcendental ground".

[Wiretap Media @WiretapMediaHQ]

💥BOMBSHELL: European Parliament confirms a COVID vaccine lottery—and some got the kill shot.

In a shocking admission that validates what millions suspected, the European Parliament confirmed the COVID vaccine rollout was a calculated experiment with human lives. Not everyone received the same formula—some got a low-concentration mRNA dose while others received what whistleblowers are calling "the kill shot"—a lethal amount designed to eliminate rather than protect.

But the deception runs even deeper —a troubling procedural order keeps both the public and even doctors from being fully informed. There are two sets of adverse data: one the pharmaceutical companies keep hidden, and one carefully curated for public consumption.

Perhaps the most damning: According to Marcel de Graaff of the FVD MEP, the EMA—Health Canada's equivalent—knew the mRNA vaccines neither treat nor stop transmission of COVID-19. Even worse, they concealed evidence that vaccinated people were MORE likely to contract the virus.

This isn't just a medical scandal—it's a crime against humanity.

[Rafapal @rafapal]

Había expectación por ver qué iba a desclasificar Julián Assange en su regreso a Wikileaks.
Y no ha decepcionado.
Wikileaks muestra 17 minutos que demuestran que el alunizaje de 1969 fue grabado en el desierto de Nevada.
La historia moderna es un timo.
#Moonlandingfake

[Ashton Forbes @AshtonForbes]

Matter is energy trapped in a resonance.

[Bilawal Sidhu @bilawalsidhu]

Space and time reconstructed in 4D

Is this how higher dimensional beings see us - every moment at once?

Starting to understand what Vonnegut meant by humans being “great millipedes” - clearly it applies to our four legged friends too!

Geolocated 2d video → per frame 3d gaussians → each left precisely where & when it happened