Amar Kanala

Software Engineer at Meta, autonomous farming robot enthusiast. ExAmazonian (Tweets & opinions are personal).

[Amar Kanala @amarkanala]

@wholemars 003 vs 007

[Amar Kanala @amarkanala]

Cool product by a Austin based company - https://t.co/hNOBidCa4w

[Amar Kanala @amarkanala]

Apple just shipped Core AI at WWDC26 — the same inference engine powering Apple Intelligence, now open to all devs.

Key highlights:
• Load .aimodel files in Swift with 2 lines
• Runs on CPU, GPU & Neural Engine
• Zero server costs, fully on-device
• PyTorch → .aimodel conversion built-in
• Pre-converted models (Qwen, SAM3) ready to use

On-device AI just leveled up 🔥

#CoreAI #WWDC2026 #iOS #AppleDeveloper

[Amar Kanala @amarkanala]

@elonmusk Huge potential for deep integration into various services, e.g fast food order queuing, appointment arrivals, and not to mention the Ad potential

[AI at Meta @AIatMeta]

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.

Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.

Try the demo and learn more here: https://t.co/VkMd1YpQWI

[Amar Kanala @amarkanala]

@forestmanjohn Love the design! Allowing people especially kids to open it up and peek inside sparks curiosity and fuels future innovations. 🚀

[Math Files @Math_files]

Bayes’ theorem is probably the single most important thing any rational person can learn.

So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works.

Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it?

Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them.

For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information.

Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible.

Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.

[Amar Kanala @amarkanala]

@forallcurious @grok what are those red blinking satellites?

[Night Sky Now @NightSkyNow]

🚨 Scientists Just Broke Light — One Photon Now Holds 37 Realities

What if a single particle of light could hold layers of information at the same time — not one message, but dozens? This isn’t science fiction anymore. In a peer-reviewed quantum breakthrough, scientists have created one photon that exists in 37 quantum dimensions simultaneously. These aren’t physical directions like up or down — they’re informational layers hidden inside the light itself.

Using a powerful method called GHZ entanglement, researchers linked the photon’s color and phase into one perfectly synchronized quantum state. Think of it like turning one ordinary light particle into a multi-lane superhighway for data. Each lane carries information at the same time, massively increasing how much data a single photon can transport.

Why does this matter? Because this could lead to ultra-secure quantum networks, next-generation encryption that’s nearly impossible to hack, and computing systems capable of solving problems today’s fastest machines can’t even touch. Instead of light being just a beam, it becomes programmable, layered, and intelligent.

And this is just the beginning. If scientists scale this from 37 dimensions to hundreds, it could completely reshape how we think about data, security, and computation — and even hint that reality itself is far richer than what we can see.

One photon. Many dimensions. A glimpse into the hidden structure of the universe. ✨

[Scott Adams @ScottAdamsSays]

A Final Message From Scott Adams

[Kekius Maximus @Kekius_Sage]

Here is the map of over 900 Earth-like planets discovered so far

Could one of them become our second home?

[Amar Kanala @amarkanala]

@chaitu_724 Pick your own pace - consistency & code by hand.

https://t.co/Ih2czYWqWQ
https://t.co/G10BB9wWyX

Best of luck

[Amar Kanala @amarkanala]

@farzyness @TheSonOfWalkley

[Amar Kanala @amarkanala]

Love it! Hope this becomes a reality

[Minimal Nerd @minimalnerd1]

If Apple gave us the Clear-Colored icons on iOS26

[Amar Kanala @amarkanala]

Just read an awesome article on Transformers! 🤖📚 Check out this clear, visual guide to how they work: https://t.co/6PtTKEWiCl #AI #MachineLearning #NLP

[Amar Kanala @amarkanala]

@gailalfaratx

[Amar Kanala @amarkanala]

@axelshowx Feels like a another form of remote control

[Amar Kanala @amarkanala]

@ArunBee

[Amar Kanala @amarkanala]

@mattinator66 Get up to $1,000 off the purchase of a Tesla with my referral link. https://t.co/Xp74f0PqXE

[Amar Kanala @amarkanala]

@ryderham05