Ãyōbåmhï Tîmõtèē•🙂

Nigerian🇳🇬 • Student✍️ • Biochemistry × AI. 🧬🤖
Learning in public🌐and building for real problems.
Integrating the World🌍 one molecule at a time.🙂

[Ãyōbåmhï Tîmõtèē•🙂 @Timothy_202003]

Y'all have your lecturer's number?👀

[Surg_Akande @Pharm_Surg]

Y’all restrict your lecturers from viewing your status?

[Ãyōbåmhï Tîmõtèē•🙂 @Timothy_202003]

OAU go whine them and them goin' panick.😂😂

[AOJ𓃵 @aojjustaoj]

OAU aspirants wan use vlog wound us.😂

[Ãyōbåmhï Tîmõtèē•🙂 @Timothy_202003]

He made the VC's head in an oval shape.💀😂

[AOJ𓃵 @aojjustaoj]

Person wey design this too go dey claim graphics designer?

[AOJ𓃵 @aojjustaoj]

Person wey design this too go dey claim graphics designer?

[Ãyōbåmhï Tîmõtèē•🙂 @Timothy_202003]

Up next>>>>>

Sophomore year.🔥🔥✅✅😁

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[The White Rabbit @TheWyteRabbit1]

You can not catch a virus.

Listen to Dr. Tom Barnett explain

[Christoph Heilig @ChristophHeilig]

The entire field of New Testament studies as we know it us going to implode within the next 24 months.

[Ãyōbåmhï Tîmõtèē•🙂 @Timothy_202003]

@simonmaechling Hmmm.🤔

[Ãyōbåmhï Tîmõtèē•🙂 @Timothy_202003]

The singularity.

[Mr. El-Bonga @el_bonga]

Dangote went into cement, and BUA later joined him.

Dangote went into sugar, and BUA later joined him.

Dangote went into flour and later exited; BUA also entered the flour industry and eventually exited.

Dangote constructed a refinery in Lagos, while BUA is currently constructing one in Akwa Ibom.

Sometimes, the best business strategy is to study existing success stories and emulate what works. BUA does this particularly well. He understands that Dangote is unlikely to enter a business without doing extensive homework. So, BUA often watches, studies the market, and waits for Dangote to establish himself in a sector before making its own move.

I like their competition. It is good for business, good for consumers, and equally good for Nigeria.

[Alex Zhavoronkov, PhD (aka Aleksandrs Zavoronkovs) @biogerontology]

My dear friends, I am happy to report the publication of the most important paper in my life to date (we have several great papers coming out but this is very special). Tomorrow, I will present this paper for the first time at the Nature AI Healthcare in Paris and will post a longer post on this story and its broader implications for how to conduct clinical trials. Please read it and comment on it.
Many thanks to the great co-authors of the study and everyone who contributed. Many thanks to the many reviewers (friendly and unfriendly) for spending so much time and helping make it better.
Link in the comments.

[Ruben @rdominguezibar]

“Here is one of the things that takes founders a long time to learn: No matter how great your idea is, no one cares. Everybody is so distracted that you could probably put that idea with exact instructions for how to implement it on Tim Cook’s desk and take no risk.”

[Chris Hayduk @ChrisHayduk]

Learning resources play a key role in shaping where talent goes. Today I’m launching my side project, BioTorch, in public beta to give researchers a clearer path into biological AI.

LLMs have a wealth of great tutorials, courses, and minimal implementations from great teachers. They make the path from curiosity to contribution easy to see and offer researchers from fields like math or physics a legible roadmap to transition into AI research.

In bio AI, that path is much harder to piece together. That friction can mean fewer researchers entering the field, fewer startups getting built, and less investment allocated to promising ideas. This ultimately leads to fewer life-saving cures being discovered than would otherwise be possible.

BioTorch is my attempt to help change that.

It starts with 116 PyTorch exercises and 17 model guides. You implement the building blocks, test your code, and see how the pieces fit into seminal models like AlphaFold2, ESM2, and RFdiffusion.

The goal is to make influential papers in bio AI something you can understand and build on, bringing researchers up to the frontier as rapidly as possible.

I want more people working on biology’s hardest problems. My mission is to help researchers find their way into the field, and BioTorch is the result of that ambition.

BioTorch is completely free while in beta.

Try your first problem now!
https://t.co/BHmN59S3bI

[The Bridge @jointhebridge]

Do it anyway.

[Elon Musk @elonmusk]

@chesscom Wrong, all legal chess positions are ~40 oom less than the estimated atoms in the Universe. And ASI will figure out ways to solve and compress that are far beyond what we could possibly comprehend.

(Here I am arguing with some random intern at a chess website 🤦‍♂️)

[Derya Unutmaz, MD @DeryaTR_]

Another scientific application I’m building with GPT-6 Astra is a chemistry analysis platform. Chemistry isn’t my own area of expertise, but I’m developing this for a close scientist friend who works in drug discovery.

Slide video is a short preview of what I have so far working in the application. It can actually pull massive molecular formulas from the databases and analyze them for variety of functions and for drug discovery. This is also MacOS for now, but should be easy to port to other platforms.

The goal as always is very ambitious to build the best chemical analysis application possible, with AI continuously helping to improve, expand, and update its capabilities. It's a bit insane to think about this but the bar is so high now!

I’m also planning to make all of these scientific applications open source soon, so researchers and developers or citizen scientists everywhere can use them, improve them, and contribute to building them together!

[Saganism @Saganismm]

A God who made a billion galaxies only to obsess over what we eat on Fridays is a strangely limited being.

[Ãyōbåmhï Tîmõtèē•🙂 @Timothy_202003]

@Prodi_gee01 😂💔.
Tommy has a little bit more class and charm than those agberos.😂

[Sakshi @Sakshi50038]

1. Elon Musk: College won't make you rich. Curiosity and technology will.

2. Naval Ravikant: Turn yourself into a product. If it feels like play, you'll outwork everyone.

3. MrBeast: Live broke, build big. Reinvest. Money is fuel, not flex.

4. Warren Buffett: Get so good they can't ignore you. Your skills are your fortress.

5. Michael Jordan: Fail loudly. Miss more shots. That's how you win.

6. Taylor Swift: The dumb ideas are what lead to the genius ones. Try more.

7. Mark Cuban: Read like a maniac. knowledge compounds faster than money.

8. Jeff Bezos: Obsess over the customer, not the competition.

9. Charlie Munger: No one's handing you the map. Build your own route.

10. Peter Thiel: Stop stacking resumes. Start stacking value.