Feeding Birds is a very good habit astrologically:

Feeding black crows improves your relationship with Saturn.

Feeding pigeons improves your relationship with Mercury.

Making drinking water arrangement for birds improves your Moon.

Birds in general represent Mercury.

THE BATTLE OF TALIKOTA and the destruction of Vijaynagar (Hampi)
26 January 1565

A tale of valor, deception and decimation.

A grim reminder that if we fail to protect our heritage, it will eventually crumble under the onslaught of "forces of anarchy".
(Elaborate thread)

This decisive battle was fought between the Vijayanagara empire and the Deccan sultanates resulting in a rout of Vijayanagara and ending the last major medieval era Hindu kingdom in south India.(1)

The seeds of 1565 encounter were sown more than 250 years earlier when the forces of the Delhi Sultanate, during the time of Alauddin Khilji and later Md Bin Tughlaq swept through southern India in an expansion spree.(2)

By middle of the 14th century, facing rebellions, Tughlaq withdrew to Delhi, leaving behind 2 empires, Bahmani, which ruled the Deccan from Kalaburagi, and Vijayanagara, which ruled most south India with its capital at Vijayanagar.(3)

The Raichur Doab, between the Krishna and Tungabhadra rivers, existed as a natural boundary between these two kingdoms, with wars often breaking out over control of this territory.(4)

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

I've spoken to 1,500+ people about remote work in the last 9 months

A few predictions of what is likely to emerge before 2030

[ a thread ] 💻🏠🌍

🚜 Rural Living: World-class people will move to smaller cities, have a lower cost of living & higher quality of life

These regions must innovate quickly to attract that wealth. Better schools, faster internet connections are a must

⏰Asynchronous Work: Offices are instantaneous gratification distraction factories where synchronous work makes it impossible to get stuff done

Tools that enable asynchronous work are the most important thing globally remote teams need. A lot of startups will try to tackle this

⚽️Hobbie Renaissance: Remote working will lead to a rise in people participating in hobbies and activities which link them to people in their local community

This will lead to deeper, more meaningful relationships which overcome societal issues of loneliness and issolation

🌍Diversity & Inclusion: The most diverse and inclusive teams in history will emerge rapidly

Companies who embrace it have a first-mover advantage to attract great talent globally. Companies who don't will lose their best people to their biggest competitors