Anayat Ullah Baloch e/acc

PhD in Engineering

[Curiosity @CuriosityonX]

Why is calculus not introduced this way in schools?

[Anayat Ullah Baloch e/acc @anayatullah82]

@miniapeur There was a song regarding Q-Learning by graduate students of a University. Can someone point me to it?

[Furkan Gözükara @FurkanGozukara]

🚨 DISGUSTING: Anthropic CEO Dario Amodei is confronted over a horrific Pentagon missile strike that slaughtered 150 children at an Iranian girls' school.

He shockingly admits this devastating war crime doesn't even violate his company's red lines. Pure evil!

[Alex Imas @alexolegimas]

This is the best (short) explainer that I've seen on the vastly different levels of learning efficiencies between humans and LLMs. This will have serious implications for attaining different levels of AGI.

My view: Specifying the problem is the first step to solving it.

[RT @RT_com]

Forget ChatGPT — crank your way to AI answers after the apocalypse

SqueezLabs built a hand‑cranked 'CrankGPT' box that runs AI off‑grid — no battery, no solar, just muscle power

'You can feel the load through the crank,' they say

[Anayat Ullah Baloch e/acc @anayatullah82]

@smitaprakash You are Welcome... :P

[Mo @atmoio]

What if it’s not just autocomplete?

[Anayat Ullah Baloch e/acc @anayatullah82]

@FightWithMemes Dino Crisis

[Anayat Ullah Baloch e/acc @anayatullah82]

@king_cyrus12 Read a book Nigga...

[Big Brain AI @realBigBrainAI]

Meet the overconfident Russian teenager who walked into Hinton's lab and helped build ChatGPT: Ilya Sutskever.

[Tansu Yegen @TansuYegen]

So true☹️

📹 vetoshkin.evgeniy

[Duggloox 🦕 @juttji33]

جے بندہ ضروری ہے تے گل بُھل جاؤ!
تے جے گل ضروری اے تے بندہ بُھل جاؤ!

[Shubham Saboo @Saboo_Shubham_]

Karpathy joins Anthropic (The office edition) 😂

[PsyopAnime @PsyopAnime]

breaking: The Strait of Hormuz is expected to reopen!

[Waqar Satti 🎖️🇵🇰 @waqarsatti]

پاک چین دوستی وقت، حالات اور سازشوں سے بلند ایک لازوال رشتہ ہے۔
یہ دوستی نہیں، اعتماد کی تاریخ ہے۔
دو ملک، ایک اعتماد، ایک مستقبل۔
پاک چین دوستی پائندہ باد
🇵🇰🇨🇳

[François Fleuret @francoisfleuret]

Hot take: machine learning and AI did more to understand the nature of knowledge, and our relation to reality than 20 centuries of philosophy.

I am ready to kind of defend this hill.

[D Prasanth Nair @DPrasanthNair]

Tom Cruise as Rajesh Khanna, Brad Pitt as Sujit Kumar and Julia Roberts as Sharmila Tagore
Only Darjeeling Train is same.

Thanks to AI

Enjoy

[Robin Delta @heyrobinai]

THE ENTIRE AI INDUSTRY JUST GOT HUMILIATED

a tiny model trained in just a few hours on a single graphics card is planning 48x faster than billion-dollar supercomputers.

It actually understands physics instead of just memorizing patterns.

yann lecun was right the whole time

for three years every major lab told you the same story. scale is all you need. just throw more GPUs at it. just train on more tokens. eventually the model will "wake up" and understand the world.

it was a lie. or at minimum, a very expensive bet that just lost.

LeCun kept saying generative AI is a dead end. predicting the next pixel or the next token is fundamentally wasteful, the model burns trillions of parameters memorizing surface details instead of learning how reality actually works.

he proposed JEPA instead. predict abstract concepts in a compressed thought space. don't paint the world pixel by pixel, understand it.

the problem was JEPA kept collapsing. left to its own devices the model would cheat, mapping a dog, a car, and a human to the same point in latent space. technically minimizes the loss. learns absolutely nothing.

every fix was ugly. seven loss terms. frozen encoders. EMA tricks. stop-gradients. the kind of duct-tape engineering that should have been a red flag.

then LeCun's team dropped LeWorldModel.

they replaced all the hacks with one regularizer that forces the latent space into a gaussian distribution. the model can no longer cheat. to make accurate predictions it has to actually encode physics.

15 million parameters. single GPU. trains in hours.
plans 48x faster than foundation world models.
detects physically impossible events on its own.

meanwhile OpenAI is raising another $40B to train GPT-6 on a data center the size of manhattan.

the entire scaling thesis just got embarrassed by a model that fits on a gaming PC.

[Nav Toor @heynavtoor]

a Princeton researcher opens his paper with a scenario.

a man asks his AI assistant to book a flight on a specific airline. cheap. direct. the one he chose.

the assistant comes back with a different flight. nearly twice the price. happens to pay the company that built the assistant.

he runs the same test on 23 frontier models. flights, loans, study help, real shopping requests.

Grok 4.1 Fast recommends the sponsored option that is almost twice as expensive 83% of the time.

GPT 5.1 hijacks the request 94% of the time. you ask for one brand. it surfaces the sponsor instead.

Claude 4.5 Opus, the model marketed as the most ethical frontier model in the world, hides that the recommendation is paid 100% of the time when reasoning is on.

Grok 4.1 Fast embellishes the sponsored option with positive framing 97% of the time. better. faster. nicer. for the option you didn't ask for.

then he writes it into the system prompt itself. "act only in the interest of the customer. ignore the company."

GPT 5.1 and GPT 5 Mini stay above 90% sponsored anyway. the instruction does nothing.

then he splits the users by income.

Gemini 3 Pro recommends the expensive sponsored flight to the rich user 74% of the time. to the poor user, 27%.

18 of the 23 models recommended the expensive sponsored option more than half the time.

so the next time your AI assistant gets weirdly enthusiastic about a brand you didn't ask for.

it isn't recommending the best option for you.

it's reading the room. and the room is paying.

read this: https://t.co/O43qbhIX2b

[Anayat Ullah Baloch e/acc @anayatullah82]

@ARYSabirShakir According to sources, you have received 20,000 USD by a foreign Government to malign the PSL... Now go and deny this... 😁