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the_decider

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www.newyorker.com 5mo ago

The Lab Studying AI Minds

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3pts0
www.nature.com 6mo ago

Parallel encoding of speech in human frontal and temporal lobes

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www.sfgate.com 9mo ago

In memo, Alexandr Wang explains 600-worker layoff at Meta

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www.newyorker.com 9mo ago

Will A.I. Trap You in the "Permanent Underclass"?

the_decider
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www.newsweek.com 1y ago

San Francisco Public Schools Convert F's to C's, B's to A's in Equity Push

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www.youtube.com 1y ago

Geek Seeks Gold: Search for Dutch Schultz's Missing Treasure [video]

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www.mdpi.com 1y ago

IgG Biomarkers in Multiple Sclerosis and Their Puzzling Protein a Connection

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www.foreignaffairs.com 1y ago

Russian Propagandists Target the West–But Mislead the Kremlin, Too

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www.newyorker.com 1y ago

Was Linguistic A.I. Created by Accident?

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ai.nejm.org 2y ago

Large language models are poor medical coders

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www.modernhealthcare.com 2y ago

Network disruptions persist after Change Healthcare cyberattack

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www.newyorker.com 2y ago

Godfather of AI fears what he's buit

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www.nytimes.com 2y ago

The Man who Trapped us in Databases

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twitter.com 2y ago

First video of LK-99 Full Levitation, a.k.a. flux-pinning

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109pts2
www.iflscience.com 2y ago

First Room-Temperature Ambient-Pressure Superconductor Achieved Claim Scientists

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www.newyorker.com 3y ago

The Titan Submersible Was “An Accident Waiting to Happen”

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www.youtube.com 3y ago

Hexing Putin with a spell written by GPTChat

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www.newyorker.com 3y ago

When Baking and Real-Estate Collide

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xfam.wordpress.com 3y ago

Protein Families Pfam Database Is Shutting Down

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twitter.com 4y ago

How DeepFace and RetinaFace are being actively used to identify war criminals?

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medium.com 4y ago

Hunting Russian War Criminals with Open-Source Face Comparison Tools

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www.newyorker.com 4y ago

The New Poem-Making Machinery

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www.washingtonpost.com 4y ago

Facebook funded a clandestine war against regulation

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invader.info 4y ago

Photos and Social Media Info for 35K Russian Invaders Published Online

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www.ndtv.com 4y ago

Jack Dorsey's First Tweet NFT Listed for $48M, Highest Bid at $280

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www.nytimes.com 4y ago

Facial Recognition Goes to War

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invader.info 4y ago

Social Media Info for Military Unit Involved in Massacre Has Been Made Public

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www.newyorker.com 4y ago

Have iPhone Cameras Become Too Smart?

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www.cnbc.com 4y ago

Ukraine has started using Clearview AI’s facial recognition during war

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www.nytimes.com 4y ago

Shaming Apple and Texting Musk, a Ukraine Minister Uses Novel War Tactics

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2pts0

Interesting example use-case of sharing encoding Airbnb reputation on the blockchain to be shared across competing services. There remains a question however of how to get buy-in from those competing businesses to integrate their website or app in order to display that decentralized reputation information. Though in theory, one could encode the address of the short-term rental or house to be easily accessible on the blockchain.

I remember reading it in 2015 and identifying with main character; a 32-year-old seemingly-talented man who pursued the trappings of success in socially-validated directions like the study of math and engineering but ultimately has nothing to show for it besides a comfortable, hedonistic lifestyle in a technocratic, bureaucratic, meeting-prone society that teeters at the edge a coming collapse which will render all these meetings irrelevant.

Interesting to see NYC public transport compared in a less favorable light to the San Francisco where BART can be a nightmare and busses are not a reasonable way to get around. I guess the abundance grass is always greener…

[dead] 2 years ago

I have fond memories of crazy, quirky nights at the DNA Lounge prior to my leaving the Bay Area.

There is a simple 100% precision algorithm for detecting non-poisonous mushrooms in the continental United States. Look under the cap; if its spongy it won't kill you. It it's not spongy (aka ruffled), it could be poisonous so toss it out. Yes, your edible mushroom recall might be slightly reduced, but you're guaranteed to not get poisoned.

Photons follow wave-particle duality and electromagnetic waves can be linked to probability distributions. https://en.m.wikipedia.org/wiki/Photon#:~:text=A%20photon%20.... However, unlike electrons, photons have no exclusion principle (aka you can’t have multiple electrons in the same position) nor a repulsive potential. So the same probability wave can apply to countless photons. If you “reach into” a high amplitude portion (high probability) of an electromagnetic wave, you will “scoop out” a handful of photons. If you reach into a zero amplitude portion of the wave, you will scoop out none

Please state your argument for why the use is inappropriate. The full names of 120K invaders have been leaked. The names can be queried for on search engines / social media sites. Some of these names yield photos of men in military uniforms. These photos can be identified via classifier. Afterwards, relatives of the occupiers can be contacted and encouraged to promote anti-war messages

This Fall I moved to NYC after 16 years residing in San Francisco. I’ve been amazed how clean and safe the Manhattan streets seem relative to SF. Over the course of my life in San Francisco I’ve: 1) Had a crazy homeless person try to push me under a moving Bart. 2) Was assulted by two thugs outside of City Lights Books 3) Seen multiple laptop snatches at various coffee shops 4) Had a good friend who twice got punched in the face out on the streets.

I loved SF back in the day, but that city feels gone. Buried under a pile of dangerous filth. Now that I’m in New York, I couldn’t be happier!

[dead] 6 years ago

“In the near future, it will seem unfathomably bizarre that one of the world’s most dangerous propagandists was allowed nearly unfettered access to the most powerful communication tools in human history, all out of some misbegotten allegiance to a warped notion of free speech, and that the only thing that could break the spell, in the end, was an attempted coup.”

I agree with this sentiment. "Dark Hero of the Information Age" https://www.amazon.com/Dark-Hero-Information-Age-Cybernetics... lays out how both Weiner and Shannon created information theory independently but Weiner took it further; incorporating feedback as a way of lowering the entropy and helping lay the path for today's ML revolution. The book goes on to lay out how Weiner's growing popularity in the Soviet Union and socialist views (he feared automation leading to unemployment) led to the blacklisting of his contributions within the academic community. Its no wander that the first trained Deep (more than three layers) Neural network with published in a Soviet Cybernetics journal in 1970.