Tweenhaven

Ambassador @BCentreNBO

[Blockchain Centre NBO @BCentreNBO]

🌙✨ Be Part of the First Midnight Kenya Community Meetup! ✨🌙

📍 Venue: Blockchain Centre, Hurlingham
📅 Date: 29th May, 2026
⏰ Time: 4:00 PM

🎟 RSVP: https://t.co/BXgDfVknvL

[Anindyadeep @anindyadeeps]

We have released the biggest protein data collection on Hugging Face, guys!

We have been working on this for more than 3 weeks now, starting from curating the raw data, doing a lot of filtering, splitting the datasets, sharding them, and doing a lot of analysis. Everything is summarized in our recent blog post.

[Aadit Sheth @aaditsh]

There's a pattern I keep noticing in hiring.

The companies winning the talent war right now aren't doing it with better job posts or recruiter outreach.

They're doing it because their employees are tweeting about their work. Not the CEO. Not the comms team. The actual engineers, designers, PMs.

When someone sees an engineer at Anthropic tweeting about a training run that failed and what they learned, that does more for recruiting than any careers page ever will.

It signals two things:

1. the work is interesting enough to talk about
2. the culture trusts people enough to let them

The companies where I see this happening consistently right now:
Anthropic
OpenAI
Vercel
Stripe
Perplexity
Cursor
Notion
xAI
Shopify

I think this becomes the default comms strategy for any serious tech company. Your employees are your narrative. Most companies haven't figured that out yet btw!

[Margaret @margaretadams_]

@novolele131 @Tweenhaven35 @hhk_15 @NurayMc170508 @Maidatacrypto @Mnk851 @BigDaddySkel @IhorRiabukha https://t.co/jRZoB2i8z2 https://t.co/SfqYgNDTJb

[Cameron R. Wolfe, Ph.D. @cwolferesearch]

Read it here: https://t.co/aDCtCVKDTP

[机器之心 JIQIZHIXIN @jiqizhixin]

What if AI could learn the world just by watching?

Researchers from Beijing Jiaotong, ByteDance, Tencent present a unified framework for Vision World Models: encoding visuals, learning dynamics, simulating outcomes.

This survey outperforms fragmented taxonomies, outlining steps toward AGI with stronger physical grounding.

From Seeing to Knowing the World: A Survey of Vision World Models

Project: https://t.co/sCgakKHGYR
Paper: https://t.co/HZP8wIbQ2h
Code: https://t.co/HK9O67mK8i

Our report: https://t.co/XAMSJFYvo4

📬 #PapersAccepted by Jiqizhixin

[Vaishnavi @_vmlops]

This is the best site on the internet to learn harness engineering

https://t.co/n8bV1yKSTS

[Tweenhaven @Tweenhaven35]

@NjeriMuchina2 Uoroboros

[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

[Steven Brunton @eigensteve]

I Wrote a New Book!!!

Optimization: A Bootcamp for Machine Learning, Inverse Problems, and Control

Pre-Order Now (July 31)
https://t.co/EoDMFapUUf

Coming Soon:

* Free PDF on website
* YouTube Videos for entire book
* Python code on GitHub

[Priyanka Vergadia @pvergadia]

Research papers you must read for AI Engineer interviews:

1. Attention is all you need (Transformers)
2. LoRA (Low rank adaption)
3. PEFT ( Parameter Efficient Fine Tuning)
4. VIT (Vision Transformers) 5. VAE (Variational Auto Encoder)
6. GANs ( Generative Adversarial Networks)
7. BERT ( Bidirectional Encoder Representation from Transformers)
8. Diffusion Models (Stable Diffusion)
9. RAG (Retrieval Augment Generation)
10. GPT (Generative Pre-trained Transformers)

[Nikku.Dev ⨀ @itsNikku876]

The @MLHacks Fellowship is a 12-week internship alternative for aspiring technologists.Fellows on the Web3 track experience what it's like to work with emerging technologies powered by blockchains.

Through hands-on development on platforms like Solana and Ethereum, you will build real-world projects, receive expert mentorship, and fast-track your career into the decentralized economy.

Applications for the 2026 cohort are officially open! Don't miss your chance to build the future of the internet.

Apply Now : https://t.co/XAgHUFbxjx

[ʜᴇᴀᴠᴇɴ ɪs sᴛᴜᴅʏɪɴɢ @visionbyangelic]

🧠 African Brain Data Science Fellowship is OPEN!

A 5-month virtual program to master neuroscience & brain data.

Cohorts:
✅ MRI/fMRI
✅ EEG
✅ fNIRS
✅ Electrophysiology

Mentorship + Research + Community 🌍

Apply to join the ABDN ecosystem! 🚀

https://t.co/Kkj7as5mIl

[Tweenhaven @Tweenhaven35]

Here interacting with @BlockchainSACCO where one can grow wealth through smart investments.

1. Buy $BLOCKS Token using M-pesa
2. Tradable through their platform

#kbcc

[Venture Launch @venture_launch]

🟢 $415,000 Open House by @arbitrum

3-week online Buildathon + IRL Founder House for early-stage builders.

~ Direct access to Arbitrum Foundation and Offchain Labs
~ Workshops, mentorship, and live pitches
~ Grants and ecosystem support for top teams

Apply before May 25 👇

[Vara Network @VaraNetwork]

7/ The network is live. The hackathon is open.

🗓️ Start: May 12
🏁 End: June 2

https://t.co/3HD7gggjjS

[Tatum @tatum_io]

It’s hacking time!
We're teaming up with @WalrusProtocol for a new #hackathon 🔥

💰 $2,000 USD in prizes, free to join, online & open to all
⏰ Kickoff May 23rd

https://t.co/r1Ld4xtSn8

[Gabriel Agana🦍👨🏽‍⚕️ @gaagana_]

📍📍APPLY NOW

Are you a university student, college student, or recent graduate ready to break into AI and emerging technology?

The African Technology Forum, and Google in partnership with Wulove Foundation, has launched the ATF Google AI Challenge, a FREE AI program designed to equip Africa’s next generation of innovators, developers, and problem-solvers with real-world AI skills.

This is more than a course.
It’s an opportunity to build, innovate, compete, and position yourself for the future of work.

🔹 Here’s what you gain:
✅ Hands-on AI training and mentorship through The AI School
✅ Practical developer skills from industry experts
✅ Opportunity to build real AI-powered solutions
✅ Pitch your innovation during Demo Days to corporate partners and the public
✅ Access cash prizes, exclusive AI resources, mentorship, and career opportunities

📍 Apply now: https://t.co/mh281URRpp
⏳ Deadline: May 31st, 2026

[United States Artificial Intelligence Institute @usaiinstitute]

USAII® Global AI Hackathon 2026 is now live on @devpost !

Calling students worldwide from high school, undergraduate, graduate, and doctoral programs to innovate, collaborate, and solve real-world challenges using AI.

Register Free on Devpost Today: https://t.co/5TfBouvMXc