Ashan Jeevanathan

🇨🇭🇬🇧🇱🇰
Technocrat.
Breaking down Physics & Big Ideas.
1st Yr Physics @UoN_Physics
Building @QPlanckHQ @Sawaiahq @hestatsuk

[Ashan Jeevanathan @AJeevanathan]

Big Thank You to @UKDecline for the shoutout and feedback for this Platform, be sure to check out his work! Data Transparency and visualisation is extremely important for the population to understand what is truly going on and to fight back major governmental decisions.

[UK Decline Statistics @UKDecline]

Not affiliated with us but, if you are looking for university statistics then this is the place 👇

[Ashan Jeevanathan @AJeevanathan]

@UKDecline I Appreciate the Love!

[UK Higher Education Statistics @hestatsuk]

🚀 Introducing HEstats.

I've spent the last few months building an open-source intelligence platform for UK Higher Education.

Explore every UK institution through interactive financial statements, rankings, historical trends, university comparisons, degree outcomes, graduate employment, staff & employee intelligence, research metrics, sector intelligence, and AI-powered insights—all in one place.

The goal is simple:

Make higher education data transparent, accessible and genuinely useful.

Built independently.
Built by a student.
Free forever.
I'd love your feedback.
🎥👇

https://t.co/Cj0cdTcEum

[Ashan Jeevanathan @AJeevanathan]

Article coming soon about quantum data centers.

[Ashan Jeevanathan @AJeevanathan]

Quantum Computers on the Moon.

[Tim Stanley @timothy_stanley]

The last thing Henry Nowak heard was his rights. Let that sink in.

[Ashan Jeevanathan @AJeevanathan]

Better Vocational training systems in countries = low unemployment rate = less poverty = less people abusing the welfare system = huge economic growth.

I believe this is the reason why the UK is in much decline over the recent years.

[Ashan Jeevanathan @AJeevanathan]

We all are creative machines, we come across so many thoughts and ideas, but we choose to consume the work of others more often than create our own, not sure why this generation is like this, but these powerful algorithms develop by these social media companies has defo had an impact on progression within science, nature and technology, its created more divide within people in our generation, we have larger opposing political views and its certainly abstract, sucidal Empathy is greater than ever, it just all depends on what spectrum of the algorithm you were tailored towards, in previous generations there were only three things that made your character and personality, Family, Friends, Environment, in this generation, most of that makes up social media, barely your parents, and then you see why your sister, your brothers, your cousins, your parents, your kids start to notice some abnormal differences, since they indoctrinate to what they see via this algorithm, the more the subconscious mind takes up on it.
People might not see this as a serious thing, but no one in this world has enough metacognition to see through it, and question the systems that they were put in place for them.
No one really has their own thoughts, its always influnced by something or someone, just like how the creation of the universe was influnced by something or someone that we do not know of, it just all came from nothing, but idk, people need to just think for themselves for once, but how do we think for ourselves? Its a weird philsophical question, since our thoughts are always influenced in someway, through our brains background processing of information how did the human brain actually start off, how did it understand that this was an apple and that was an orange, and do you think our first influence of human was religion? who really set the ground rules for this simulated experience?
All im trying to say is, dont really let your brain hijacked by social media algorithms, you’d rather get hijacked by social conversations and the remininsents (yh i cant fucking spell) of nature and have a laid back approach to views in this world and create your own ideas and approach to things.
And only consume when you are information seeking actively.
Dont let your brain go numb for no reason.
Dont waste your potential, you have lots to leave out there before you die
You wont ever remember the 100 other reels you swiped past in the 1-2 hours your were bedrotting, but you will certainly remember a lot from being deeply interested in an area of life you enjoy and watching a 2 hour lecture video from MITopenware yt channel about it, the you can just express that knowledge to the world or your friends and family.
I do remember back in lockdown i was watching a harvard lecture video on bioelectricity and learning about Galvanis original experiment in the 18th century i think about the discovery of electricity in animals which was completely accidental and he did a bunch of random ass experiments and that led to inventing batteries
So Trust me when i say that curosity and creativity will lead to great things.

[Just unimpressed @justunimpressed]

@aroundliv And that is exactly why our country is screwed… an upstanding member of the workless society going on his hols paid for by benefits… unfortunately loosing it before he gets on board… priceless!!

[GN 🇬🇭 @_Greazemoden]

The buzzballs are making a lot of you shaped like one

[Ashan Jeevanathan @AJeevanathan]

@bigbadtechie @Matthardy_BR Sure looks like it.

[maro @ProofofMaro]

How to talk to aliens btw

[SP @sspencerukk]

Must be wank being obese in this weather

[Financelot @FinanceLancelot]

That's why the 3rd party is coming called "America 1st," controlled by the Technogarchs

[Ashan Jeevanathan @AJeevanathan]

@myles_premium_ All they needed was some good Wifi on trains.

[Ashan Jeevanathan @AJeevanathan]

UK Higher education Statistics Platform coming soon...

[✧˖ @colditioner]

Cinema is the art of making loneliness beautiful

[Massimo @Rainmaker1973]

Fun fact.

The Switzerlands largest supermarket, Migros, doesn’t sell alcohol or tobacco in stores, pays no dividends, caps profits by lowering prices if earnings exceeds 5%, is a cooperative with 2M+ members, and donates 1% of revenue to social projects, purely out of the founders moral philosophy.

[Dwarkesh Patel @dwarkesh_sp]

New blackboard lecture w @ericjang11

He walks through how to build AlphaGo from scratch, but with modern AI tools.

Sometimes you understand the future better by stepping backward. AlphaGo is still the cleanest worked example of the primitives of intelligence: search, learning from experience, and self-play. You have to go back to 2017 to get insight into how the more general AIs of the future might learn.

Once he explained how AlphaGo works, it gave us the context to have a discussion about how RL works in LLMs and how it could work better – naive policy gradient RL has to figure out which of the 100k+ tokens in your trajectory actually got you the right answer, while AlphaGo’s MCTS suggests a strictly better action every single move, giving you a training target that sidesteps the credit assignment problem. The way humans learn is surely closer to the second.

Eric also kickstarted an Autoresearch loop on his project. And it was very interesting to discuss which parts of AI research LLMs can already automate pretty well (implementing and running experiments, optimizing hyperparameters) and which they still struggle with (choosing the right question to investigate next, escaping research dead ends). Informative to all the recent discussion about when we should expect an intelligence explosion, and what it would look like from the inside.

Timestamps:

0:00:00 – Basics of Go
0:08:06 – Monte Carlo Tree Search
0:31:53 – What the neural network does
1:00:22 – Self-play
1:25:27 – Alternative RL approaches
1:45:36 – Why doesn’t MCTS work for LLMs
2:00:58 – Off-policy training
2:11:51 – RL is even more information inefficient than you thought
2:22:05 – Automated AI researchers