🚨BREAKING: Google DeepMind just dropped a research bomb!
It's called AlphaEvolve and it's using LLMs to automatically write better AI algorithms than humans can.
No manual tuning. No trial-and-error. No human intuition required.
AlphaEvolve treats algorithm source code as a genome
→ LLM acts as the mutation engine
→ Proposes semantically meaningful code changes
→ Auto-evaluates fitness on real game benchmarks
→ Keeps winners, evolves further
Here's the wildest part:
The AI discovered a warm-start threshold of iteration 500... without being told the evaluation horizon was 1000 iterations.
It found non-intuitive mechanisms humans never would have designed manually.
The results?
VAD-CFR beats every state-of-the-art baseline in 10 of 11 games tested.
SHOR-PSRO outperforms Nash, AlphaRank, and PRD solvers.
This is the recursion nobody was ready for AI systems that design better AI learning algorithms than the researchers who built them.
Paper dropped February 2026. Link in first comment.
For video generation in robotic applications, looking pretty is usually not enough.
Robot manipulation requires understanding how visual observations and 3D geometry evolve over time under agent actions, with temporal coherence and geometric consistency across camera views.
We study this challenge in our work (recently accepted by @iclr_conf ), 4D Video Generation for Robot Manipulation, which enforces multi-view 3D consistency via geometric supervision to generate spatio-temporally aligned videos.
Genie 3 🤝 @Waymo
The Waymo World Model generates photorealistic, interactive environments to train autonomous vehicles.
This helps the cars navigate rare, unpredictable events before encountering them in reality. 🧵
6 months in, after the IMO-gold achievement, I’m very excited to share another important milestone: AI can help accelerate knowledge discovery in mathematics, physics, and computer science! We’re sharing Two new papers from @GoogleDeepMind and @GoogleResearch that explore how Gemini #DeepThink together with agentic workflows can empower mathematicians and scientists to tackle professional research problems. Some highlights:
The first paper built a research agent #Aletheia, powered by an advanced version of Gemini Deep Think, that can autonomously produce publishable math research and crack open Erdős problems.
The second paper, built on similar agentic reasoning ideas, helped resolve bottlenecks in 18 research problems, across algorithms, ML and combinatorial optimization, information theory and economics.
See the thread for details about the two papers and the joint blog post.
@garyvee Hey! I’m currently studying AI engineering. I like spending time and learning about web3. Went to veecon 2022 and veecon 2023 and I love VEEFRIENDS!
Pulled an epic llama and got it signed by @garyvee!!
And as Gary said… it’s not all about blockchain & NFTs but also about life and creativity!
Greatful for @veecon this year, hope to see you all back next year!
#VeeCon2023