Points 15585


Rajat posted a link in subinterest 'Artificial Inte...'

'Thought vectors' could revolutionize artificial intelligence - ExtremeTech

This site may earn affiliate commissions from the links on this page. Terms of use. Despite all the recent hullabaloo concerning artificial intelligence, in part fueled by dire predictions made by the likes of Stephen Hawking and Elon Musk, there have been few breakthroughs in the field to warrant such fanfare.

"Thoughts are just these great big vectors, and that big vectors have causal powers. They cause other big vectors, and that's utterly unlike the standard AI view that thoughts are symbolic expressions."
Geoffrey Hinton


Rajat posted a video in subinterest 'Tennis'

Roger Federer - Top 1000 Best Shots of his Career
YouTube l https://www.youtube.com/

Cheers to our family idol!


Rajat posted a photo in subinterest 'Artificial Inte...'

New Theory Cracks Open the Black Box of Deep Learning

"The most important part of learning is actually forgetting."
Naftali Tishby



Rajat posted a link in subinterest 'Environment'

Amazing game theoretic take on "The evolution of trust" or rather mistrust :\
Sit back, it will be time well spent(my score 30). Offers a glimpse into the real world of trust, altruism in face of compounding effects of fake news and "virtually" social interaction!


Rajat posted a link in subinterest 'Design'

Simple designs may appeal to the limbic brain, but isn't design and ultimately success contextual? For example, a few successful hi-touch websites:-

Simple: Google; LinkedIn(only recently though!), Apple, Medium, Wikipedia

Complex: Facebook, eBay, Amazon, Craigslist, YouTube, Reddit

"Design is not just what it looks and feels like. Design is how it works"
Steve Jobs


Rajat posted a link in subinterest 'Education'

As MOOCs continue to experiment with delivery models to achieve better student outcomes in order to bridge the gap between user intent and user behavior ( as reflected in low completion rates). One could perhaps think of two broad approaches:

1)Data/AI driven: As laid out in this Berkley piece on a machine learned approach "(by).... both tracking learners’ behaviors in real-time and dynamically adapting content based on each learner’s individual clickstream history." A variant of this approach is already seen in likes of Khan Academy.

2) Human driven : By populating an online classroom with adequate number of mentors and close involvement of professors or TA's along with cohort driven peer evaluations to effectively deal with the fundamental problem of lack of feedback and collaboration in an asynchronous learning environment.


Rajat posted a link in subinterest 'Design'

Six Myths of Product Development

Most product-development managers are always struggling to bring in projects on time and on budget. They never have enough resources to get the job done, and their bosses demand predictable schedules and deliverables. So the managers push their teams to be more parsimonious, to write more-detailed plans, and to minimize schedule variations and waste.

Overengineering is the most ubiquitous pitfall of product development, both software and hardware. Does this sound familiar?

"Product-development teams seem to believe that adding features creates value for customers and subtracting them destroys value. This attitude explains why products are so complicated: Remote controls seem impossible to use, computers take hours to set up, cars have so many switches and knobs that they resemble airplane cockpits, and even the humble toaster now comes with a manual and LCD displays."

Source nor.org Six Myths of Product Development


Rajat posted a link in subinterest 'Artificial Inte...'

- "Algorithms give the illusion of being unbiased but are written by people and trained on socially generated data. So they can encode and amplify human biases. "

-"Algorithms can lead to inequitable outcomes"

We may not face an existential danger from AI yet. However, real actors would certainly take advantage of garb of AI driven by black-box algorithms. This becomes even more relevant when AI/Deep Learning incorporates unstructured data with limited contextual training to draw conclusions. Think of social media feeds, AI driven hiring processes.

Source Rand.org


Rajat posted a photo in subinterest 'Inequality'

The Fading American Dream "Children's prospects of achieving the "American Dream" of earning more than their parents have fallen from 90% to 50% over the past half century. This decline has occurred throughout the parental income distribution, for children from both low and high income families"
-the largest declines (are) for families in the middle class
-Absolute mobility fell in all 50 states, although the rate of decline varied, with the largest declines concentrated in states in the industrial Midwest, such as Michigan and Illinois.
-Reasons why this may have happened: lower Gross Domestic Product (GDP) growth rates and greater inequality in the distribution of growth.We find that most of the decline in absolute mobility is driven by the more unequal distribution of economic growth rather than the slowdown in aggregate
growth rates.

Source Stanford study by Raj Chetty and others.