Manoj Parida

Programmer, Learn, Share, Build something out of nothing

[Mario Nawfal @MarioNawfal]

🇩🇪🇺🇸 Peter Thiel just pointed out a pretty brutal difference between America’s young wealthy and Germany’s.

Looking at the 50 richest people in each country who are Gen X or younger, Thiel says 9 of 12 Americans made their own fortunes.

Germany? All 20 inherited theirs.

“Not a single person did something new, made some new money, built a large new scalable company.”

Germany isn’t running out of rich people. Thiel thinks it’s running out of people getting rich by building something new.

Writer: Lynn

[Shankar Sharma @1shankarsharma]

Yes there is a big gap always between what the market returns and what investors take home themselves because of behavioural aspects.

But this is reality and that is the way human beings are.

No human being is a rational actor permanently. In fact when it comes to money, most are not.

Then what is the point of pointing out the big gap in returns between laboratory conditions and the actual battlefield returns , when in the actual battle fields, most will have exactly the same behavioral pattern.

Are equities , then , indeed the right asset for people, given this behavioural aspect which is real and present in the vast majority?

[Cassandra Unchained @michaeljburry]

Let's all take a moment to understand how self-serving it is for OpenAI, Anthropic and other execs of big hyperscalers to talk of slowing things down.
1. LLMs are not AI and won't be AGI. There is nothing AI to slow down.
2. Competition is coming up fast, slowing benefits incumbents.
3. IPOs need hype & puffery; "we are so awesome it could become dangerous" is hype & puffery
4. Cover for real uncontrollable slowing growth as IPOs look to be pushed out

[Manoj Parida @manojapr]

I'm headed to Lean Startup Night Berlin on Thurs, May 17. Join me at WeWork Ku'damm for networking & keynotes https://t.co/WsbKcFgNlZ

[comma @comma_ai]

Having fun calibrating cameras. I think I deserve a PhD in computer vision after this is done. -GH

[Bill Gates @BillGates]

Looking for a book to enjoy over the holidays? Here are some of my favorites from 2016.

[Steve Case @SteveCase]

“Read 500 pages every day...knowledge will build up, like compound interest” @WarrenBuffett https://t.co/dSQFC7GZSR

[Data Science Central @analyticbridge]

10 Python Machine Learning Projects on GitHub https://t.co/UU2Fyh3CWv

[Manoj Parida @manojapr]

Google and Facebook Team Up to Open Source the Gear Behind Their Empires https://t.co/KMQttE4CSH via @WIRED

[Manoj Parida @manojapr]

The broken world of mobile payments and how to fix it https://t.co/tGdZqtmUXL via @techcrunch

[Manoj Parida @manojapr]

Cognitive correction and creating better human-to-machine interaction https://t.co/sUBnqKjAiu via @techcrunch

[Google AI @GoogleAI]

How would a Neural Network respond to the questions of a personality test? Find out at https://t.co/lN1PALk0FP

[Periscope Data @PeriscopeData]

Create beautiful dashboards from your SQL database. Analyze billions of rows in seconds with Periscope Data. https://t.co/BYJPtmVVsY

[Manoj Parida @manojapr]

@CodeshipSupport our builds are failing and we cant update payment data. manoj, Nextsocial.io

[TechCrunch @TechCrunch]

Hyperloop Transportation Technologies breaks ground to make Elon Musk’s Hyperloop a reality https://t.co/QFkiTpiBQK

[Christophe Bourguignat @chris_bour]

Deep Grammar: Grammar Checking Using Deep Learning https://t.co/nDQY00Vj5z

[Mike Tamir, PhD @MikeTamir]

NIPS 2015 Accepted Papers https://t.co/9hvUOh72hJ #DataScience #MachineLearning

[jtoy @jtoy]

using machine learning to talk to the dead and loved ones https://t.co/ibRIaZcANH

[Mike Tamir, PhD @MikeTamir]

What is TF-IDF? The 10 minute guide https://t.co/dfOWVnI5Uu #NLP #DataScience #MachineLearning