Classic game theory models that are relevant to DeFi and blockchain governance dynamics.

Source: https://www.appcraver.com/news/vitalik-buterin-objects-voting-governance-for-defi-coin/


Artificial Intelligence

The framework enables the training and testing of sophisticated dialog models.

Image Credit: Facebook AI Research


Artificial Intelligence

Optimus, FQ-GAN, and Prevalent bring new ideas to apply generative models at a large scale.

Source: https://learnopencv.com/generative-and-discriminative-models/


Weekly newsletter with over 100,000 subscribers that discusses impactful ML research papers, cool tech releases, the money in AI, and real-life implementations.

📝 Editorial: Big Tech and their Favorite Deep Learning Schools

Last week we started a new series in The Sequence focused on self-supervised learning(SSL). One thing that you will notice that you read through that series is that a lot of the relevant papers and tech comes from the Facebook AI Research(FAIR). This is because FAIR has become the main AI lab championing SSL but this is not an isolated pattern. Most of the top AI labs in the world have sort of picked different schools of deep learning to champion. Here are some of my favorite examples:


Mathematics

A century-old geometry problem that has almost got solved last year.

Source: https://www.quantamagazine.org/new-geometric-perspective-cracks-old-problem-about-rectangles-20200625/


Google researchers designed a universal machine translation system that can work across a hundred languages.

Source: https://mycroft.ai/blog/languages-are-hard/


Deep Learning

The research combines language, computer vision in a clever way that simulates human creativity.

Source: https://www.iflscience.com/technology/ai-is-now-writing-poetry-and-its-hilariously-terrible/


Weekly newsletter with over 100,000 subscribers that discusses impactful ML research papers, cool tech releases, the money in AI, and real-life implementations.

📝 Editorial: The Fight Against Labeled Dataset Dependencies

Supervised learning has dominated the world of machine learning (ML) for the last few decades. The predominance of supervised models in mainstream ML applications seems logical considering that they are easier to model, interpret, and optimize than the non-supervised alternatives. However, supervised ML models have the big limitation of their dependency on large, labeled datasets which are very expensive to build and maintain. The dependencies on labeled data are not only technological but also economical as it has made ML research a privilege of large organizations with access to highly curated datasets. To that, we should add that supervised learning…


Mathematics

One of the oldest unsolved problems in mathematics.

Source: https://www.easycalculation.com/maths-dictionary/goldbach_conjecture.html

Jesus Rodriguez

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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