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But Where Is Everybody? Fermi Paradox Explored: The Dark Forest Hypothesis

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Hello and welcome! My name is Anton and in this video, we will talk about another Fermi Paradox hypothesis: The Dark Forest.
Fermi Paradox playlist: https://www.youtube.com/playlist?list=PL9hNFus3sjE7lB0sJRnGLWng0uIPxUVqG
Images/Videos:
Henry Söderlund-CC BY 4.0 https://en.wikipedia.org/wiki/Liu_Cixin#/media/File: Cixin_Liu_at_Worldcon_75,_Helsinki,_before_the_Hugo_Awards.jpg.
Midjourney CC BY SA 4.0 https://midjourney.com/
Davidguam CC BY-SA 4.0 https://en.wikipedia.org/wiki/Hunt–Lenox_Globe#/media/File: Anfuorin.png.
#darkforest #fermiparadox #aliens.

0:00 Introduction to Dark Forest Hypothesis.
1:05 History of the Hypothesis.
2:05 Relationship to the Game Theory.
3:18 Assumptions.
4:10 Criticism.
5:00 Are Humans Breaking This Rule?
5:35 More Criticism.
7:05 Counter Arguments.
8:10 Is It Unscientific?
8:40 Here Be Lions.
9:45 Conclusions.

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Researchers think alien civilizations might be creating black holes to store quantum data

A new paper has proposed an absolutely wild idea. What if aliens are creating black holes to use as quantum storage? It sounds crazy, but some scientists say it could give us a solution to the Fermi Paradox, which essentially states that if life is common in our universe, why have we not found evidence of it beyond Earth?

This paradox has caused quite a few ripples throughout the scientific community, especially within parts that believe alien life is out there, just waiting to be discovered. The new paper has yet to be peer-reviewed, but it was created by a team of German and Georgian scientists who say we may be looking in the wrong direction in our search for alien life.

Currently, we rely on radio signals to search for signs of life out in the universe. But, these researchers suggest that we should instead approach black holes as if alien civilizations created them as massive quantum computers to store data in. As such, we should be looking for technosignatures emanating from megastructures like pulsars, white dwarf stars, and black holes.

Learning about Neuralink w/ James Douma (ChatGPT x Neuralink)

00:00 Intro.
01:01 ChatGPT x Neuralink.
16:45 Inserting stents into blood vessels.
26:48 Pros & Cons of Neuralink’s architecture.
31:55 Neuralink clinics.
33:51 Downloading our minds onto a Tesla Optimus Bot.
52:30 If you get a Neuralink, will you lose free will?
1:04:16 AI helping Neuralink.
1:09:55 Everyone’s brain is unique.
1:23:16 Getting a Neuralink as a baby.
1:25:20 Sleep paralysis.
1:30:01 Nanotechnology x Neuralink.
1:31:59 James has an idea for Neuralink.
1:46:22 James’ favorite answer to the Fermi Paradox.
1:55:08 Haha smile

Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.

Twitter: https://www.twitter.com/ryantanaka3/

Support: https://www.patreon.com/neurapod/

Please consider supporting by joining the channel above, or sharing my other company website with retirees: https://www.reterns.com/. Opinions are my own. Neura Pod receives no compensation from Neuralink and has no affiliation to the company.

#Neuralink #ElonMusk #Tesla

Obscure Biochemical Paradox May Explain Why We Can’t Find Alien Life

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Hello and welcome! My name is Anton and in this video, we will talk about a potential resolution to Fermi paradox using another — Levinthal’s Paradox.
Links:
https://theconversation.com/ai-makes-huge-progress-predictin…ent-151181
https://en.wikipedia.org/wiki/Levinthal%27s_paradox.
https://en.wikipedia.org/wiki/Protein_structure_prediction.
https://web.archive.org/web/20110523080407/http://www-miller…nthal.html.
Previous Fermi Paradox part: https://youtu.be/iCDM5uLYeJU
#fermiparadox #proteins #alienlife.

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https://www.patreon.com/whatdamath.

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Space Engine is available for free here: http://spaceengine.org.
Enjoy and please subscribe.

Twitter: https://twitter.com/WhatDaMath.

Do Androids Dream of Electric Sheep

https://youtube.com/watch?v=qusXSHkcQZg&feature=share

(Filmed as: Blade Runner) by Philip K. Dick full audiobook. With cast and corresponding animated imagery.

Bounty hunter Rick Deckard wakes up to a world devastated by nuclear war, where humans care for animals to prevent the mass extinction of several species, where androids are colonial slaves who kill their masters and flee to hide on Earth.
Deckard’s boss Harry Bryant tells him that Dave Holden, another bounty hunter, was hurt while hunting fugitive androids, and now Deckard has to finish the job.
The catch? The androids are Nexus-6 models, the most intelligent, advanced androids ever created.

We appreciate the support. Thank you for listening! As always, we truly hope you enjoy!
Please Like and Subscribe.
Thanks again to all those who’ve listened and joined our channel!

All male parts (except Roy Batty) voiced by Matthew Silas Sedgwick.
All female parts voiced by Makyla Meyer.
Roy Batty voiced by Chris Carter.

Prologue — 00:00:00
Chapter 1 — 00:00:40
Chapter 2 — 00:19:19
Chapter 3 — 00:38:44
Chapter 4 — 00:51:12
Chapter 5 — 01:10:13
Chapter 6 — 01:30:45
Chapter 7 — 01:42:17
Chapter 8 — 02:05:21
Chapter 9 — 02:23:44
Chapter 10 — 02:45:38
Chapter 11 — 02:58:12
Chapter 12 — 03:10:20
Chapter 13 — 03:33:27
Chapter 14 — 03:47:35
Chapter 15 — 04:06:07
Chapter 16 — 04:34:16
Chapter 17 — 04:53:27
Chapter 18 — 05:04:06
Chapter 19 — 05:25:33
Chapter 20 — 05:39:39
Chapter 21 — 05:43:52
Chapter 22 — 05:56:07

#philipkdick #bladerunner #audiobook

IBM unveils AI supercomputer ‘in the cloud’

Not going to happen unless some “doomsdayers” decide to take man back to analog. Perish the thought!

Which brings us to Big Blue – not Big Brother – and its move to take artificial intelligence into the cloud minus all the hardware.

Yes, IBM (and let’s not leave out Red Hat, IBM’s core cloud player) has found another way to tout its cloud computing business by creating what it calls an artificial intelligence-focused supercomputer that exists in the cloud.

Physicists Say Aliens May Be Using Black Holes as Quantum Computers

If life is common in our Universe, and we have every reason to suspect it is, why do we not see evidence of it everywhere? This is the essence of the Fermi Paradox, a question that has plagued astronomers and cosmologists almost since the birth of modern astronomy.

It is also the reasoning behind the Hart-Tipler Conjecture, one of the many (many!) proposed resolutions, which asserts that if advanced life had emerged in our galaxy sometime in the past, we would see signs of their activity everywhere we looked. Possible indications include self-replicating probes, megastructures, and other Type III-like activity.

On the other hand, several proposed resolutions challenge the notion that advanced life would operate on such massive scales. Others suggest that advanced extraterrestrial civilizations would be engaged in activities and locales that would make them less noticeable.

AI is putting our jobs as architects unquestionably at risk

Architects urgently need to get to grips with the existential threat posed by AI or risk, in ChatGPT’s words, “sleepwalking into oblivion”, writes Neil Leach.

In the near future, architects may become a thing of the past. Artificial intelligence (AI) is quickly advancing to a point where it can generate the design of a building completely autonomously. With the potential to create designs faster and with more accuracy than ever before, AI has the potential to revolutionize the architecture industry, leaving traditional architects out of the equation. This could spell the end of the profession as we know it, raising questions of what the future holds for architects in a world of AI-generated buildings.

I did not write the paragraph above. It was generated by ChatGPT, a highly impressive AI text generator that recently launched. Make no mistake: despite its innocuous-sounding name, ChatGPT is no simple chat bot. It is based on GPT3, a massive Generative Pre-Trained Transformer (GPT) that uses Deep Learning to produce human-like text from user-inputted prompts.