NFTs, Explained | a16z Podcast

with @jessewldn @ljxie @smc90

Everything you need or want to know about NFTs (or to help others understand NFTs.) Cuts through the noise to share the signal:
covering what NFTs are, the underlying crypto big picture, and then specifically what forms they take; addressing common myths and misconceptions from “just a JPG” to the question of energy use; sharing briefly how NFTs work; providing a quick overview of the players/ ecosystem; and throughout, discussing various applications too.

This episode was originally released in March 2021.
— Read on a16z.simplecast.com/episodes/nfts-explained-CesNt_e1

Central Asia is stepping up battles with tech giants. Russia’s playbook is a model. – The Washington Post

Uzbekistan and Kazakhstan both pulled back attempts at restricting social media networks after public backlash.
— Read on www.washingtonpost.com/world/asia_pacific/uzbekistan-kazakhstan-big-tech/2021/11/06/857efe86-3db4-11ec-bd6f-da376f47304e_story.html

Why flat-Earthers are a clear and present threat to an AI-powered society

There are almost certainly people from every walk of life, in every industry, at every school, in every police precinct, and working for just about every news outlet who believe things about artificial intelligence that are simply not true.

Let’s make a short list of things that are demonstrably untrue that the general public tends to believe:

Big tech is making progress mitigating racial bias in AI
AI can predict crime
AI can tell if you’re gay
AI writing/images/paintings/videos/audio can fool humans
AI is on the verge of becoming sentient
Having a human in the loop mitigates bias
AI can determine if a job candidate will be successful
AI can determine gender
AI can tell what songs/movies/videos/clothes you’ll like
Human-level self-driving vehicles exist
And that list could go on and on. There are thousands of useless startups and corporations out there running basic algorithms and claiming their systems can do things that no AI can do.

Those that aren’t outright pedaling snake oil often fudge statistics and percentages to mislead people concerning how efficacious their products are.
— Read on thenextweb.com/news/why-flat-earthers-clear-present-threat-ai-powered-society

Running Machine Learning Projects: Things to know | by Prashant Mudgal | Oct, 2021 | Towards Data Science

In my experience, ML projects come in all shapes and sizes and vary greatly in their complexity. In the initial 2000/10s, the emphasis was on the model-centric approach which I always found a little bizarre as I heard umpteen times about the fancier models than the results(well, it was a different time and folks used to get awestruck when they would hear ML, AI, DS etc); slowly and steadily the focus has shifted to the result centric approach i.e. use whatever model you can but make use of the data and produce results that are directional, applicable, and coherent.
— Read on towardsdatascience.com/running-machine-learning-projects-things-to-know-316775338eab

Hackers bypass Coinbase 2FA to steal customer funds – The Record by Recorded Future

The Record by Recorded Future gives exclusive, behind-the-scenes access to leaders, policymakers, researchers, and the shadows of the cyber underground.
— Read on therecord.media/wp-content/themes/therecordmedia/

This is just to say,

No one should treat SMS based 2FA as secure or secret it is not a proper authentication method.

Least of all the massive banking institutions that use this method.

A World Without Sci-Hub – Palladium

Aaron Swartz was 26 years old when he took his own life. He did so under the shadow of legal prosecution, pursued by government lawyers intent on maximal punishment. If found guilty, he potentially faced up to 50 years in prison and a $1 million dollar fine. Swartz’s crime was not only legal, but political. He had accessed a private computer network and gained possession of highly valuable information with the goal of sharing it. His actions threatened some of the most powerful, connected, and politically protected groups in the country. Their friends in the government were intent on sending a message.

It’s the kind of story you would expect about some far-off political dissident. But Swartz took his life in Brooklyn on a winter day in 2013 and his prosecutor was the U.S. federal government. When Swartz died, he was under indictment for 13 felony charges related to his use of an MIT computer to download too many scientific articles from the academic database JSTOR, ostensibly for the purpose of making them freely available to the public. Ultimately, Swartz potentially faced more jail time for downloading academic papers than he would have if he had helped Al Qaeda build a nuclear weapon. Even the Criminal Code of the USSR stipulated that those who stored and distributed anti-Soviet literature only faced five to seven years in prison. While prosecutors later pointed toward a potential deal for less time, Aaron would still have been labeled a felon for his actions—and to boot, JSTOR itself had reached a civil settlement and didn’t even pursue its own lawsuit.

But Aaron’s cause lived on. This September marks the ten-year anniversary of Sci-Hub, the online “shadow library” that provides access to millions of research papers otherwise hidden behind prohibitive paywalls. Founded by the Kazakhstani computer scientist Alexandra Elbakyan—popularly known as science’s “pirate queen”—Sci-Hub has grown to become a repository of over 85 million academic papers.

The site is popular globally, used by millions of people—many of whom would otherwise not be able to finish their degrees, advise their patients, or use text mining algorithms to make new scientific discoveries. Sci-Hub has become the unacknowledged foundation that helps the whole enterprise of academia to function. 

Even when they do not need to use Sci-Hub, the superior user experience it offers means that many people prefer to use the illegal site rather than access papers through their own institutional libraries. It is difficult to say how many ideas, grants, publications, and companies have been made possible by Sci-Hub, but it seems undeniable that Elbakyan’s ten-year-old website has become a crucial component of contemporary scholarship.  
— Read on palladiummag.com/2021/09/24/a-world-without-sci-hub/

Top 10 Quantum Machine Learning Companies to Watch in 2021

Quantum machine learning is an emerging trend. Here are 10 quantum machine learning companies to watch in 2021.
— Read on www.analyticsinsight.net/top-10-quantum-machine-learning-companies-to-watch-in-2021/

Automation can be our friend, but we must not let it turn into a foe | Robert Skidelsky | The Guardian

The growth of mechanisation brings many benefits, yet vigilance is needed to keep it in check
— Read on www.theguardian.com/business/2021/sep/25/automation-can-be-our-friend-but-we-must-not-let-it-turn-into-a-foe

Argo Blockchain Becomes First Climate Positive Cryptocurrency Mining Company and Releases Climate Strategy

LONDON, August 17, 2021–Argo Blockchain plc (LSE:ARB; OTCQX:ARBKF), (“Argo” or the “Company”), a global leader in sustainable blockchain infrastructure and cryptocurrency mining, today announced it has become the first publicly traded cryptocurrency mining company to report it has become Climate Positive for Scope 1, 2, and 3 Greenhouse Gas (GHG) emissions associated with all of its respective crypto-related operations. Climate Positive means that the company is addressing its own GHG emissions
— Read on finance.yahoo.com/news/argo-blockchain-becomes-first-climate-130000123.html

Beyond the Bitcoin Bubble – The New York Times

Yes, it’s driven by greed — but the mania for cryptocurrency could wind up building something much more important than wealth.
— Read on www.nytimes.com/2018/01/16/magazine/beyond-the-bitcoin-bubble.html