Lifeboat Foundation: Safeguarding Humanity
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Category: employment – Page 4

Rufo Guerreschi.
https://www.linkedin.com/in/rufoguerreschi.

Coalition for a Baruch Plan for AI
https://www.cbpai.org/

0:00 Intro.
0:21 Rufo Guerreschi.
0:28 Contents.
0:41 Part 1: Why we have a governance problem.
1:18 From e-democracy to cybersecurity.
2:42 Snowden showed that international standards were needed.
3:55 Taking the needs of intelligence agencies into account.
4:24 ChatGPT was a wake up moment for privacy.
5:08 Living in Geneva to interface with states.
5:57 Decision making is high up in government.
6:26 Coalition for a Baruch plan for AI
7:12 Parallels to organizations to manage nuclear safety.
8:11 Hidden coordination between intelligence agencies.
8:57 Intergovernmental treaties are not tight.
10:19 The original Baruch plan in 1946
11:28 Why the original Baruch plan did not succeed.
12:27 We almost had a different international structure.
12:54 A global monopoly on violence.
14:04 Could expand to other weapons.
14:39 AI is a second opportunity for global governance.
15:19 After Soviet tests, there was no secret to keep.
16:22 Proliferation risk of AI tech is much greater?
17:44 Scale and timeline of AI risk.
19:04 Capabilities of security agencies.
20:02 Internal capabilities of leading AI labs.
20:58 Governments care about impactful technologies.
22:06 Government compute, risk, other capabilities.
23:05 Are domestic labs outside their jurisdiction?
23:41 What are the timelines where change is required?
24:54 Scientists, Musk, Amodei.
26:24 Recursive self improvement and loss of control.
27:22 A grand gamble, the rosy perspective of CEOs.
28:20 CEOs can’t really say anything else.
28:59 Altman, Trump, Softbank pursuing superintelligence.
30:01 Superintelligence is clearly defined by Nick Bostrom.
30:52 Explain to people what “superintelligence” means.
31:32 Jobs created by Stargate project?
32:14 Will centralize power.
33:33 Sharing of the benefits needs to be ensured.
34:26 We are running out of time.
35:27 Conditional treaty idea.
36:34 Part 2: We can do this without a global dictatorship.
36:44 Dictatorship concerns are very reasonable.
37:19 Global power is already highly concentrated.
38:13 We are already in a surveillance world.
39:18 Affects influential people especially.
40:13 Surveillance is largely unaccountable.
41:35 Why did this machinery of surveillance evolve?
42:34 Shadow activities.
43:37 Choice of safety vs liberty (privacy)
44:26 How can this dichotomy be rephrased?
45:23 Revisit supply chains and lawful access.
46:37 Why the government broke all security at all levels.
47:17 The encryption wars and export controls.
48:16 Front door mechanism replaced by back door.
49:21 The world we could live in.
50:03 What would responding to requests look like?
50:50 Apple may be leaving “bug doors” intentionally.
52:23 Apple under same constraints as government.
52:51 There are backdoors everywhere.
53:45 China and the US need to both trust AI tech.
55:10 Technical debt of past unsolved problems.
55:53 Actually a governance debt (social-technical)
56:38 Provably safe or guaranteed safe AI
57:19 Requirement: Governance plus lawful access.
58:46 Tor, Signal, etc are often wishful thinking.
59:26 Can restructure incentives.
59:51 Restrict proliferation without dragnet?
1:00:36 Physical plus focused surveillance.
1:02:21 Dragnet surveillance since the telegraph.
1:03:07 We have to build a digital dog.
1:04:14 The dream of cyber libertarians.
1:04:54 Is the government out to get you?
1:05:55 Targeted surveillance is more important.
1:06:57 A proper warrant process leveraging citizens.
1:08:43 Just like procedures for elections.
1:09:41 Use democratic system during chip fabrication.
1:10:49 How democracy can help with technical challenges.
1:11:31 Current world: anarchy between countries.
1:12:25 Only those with the most guns and money rule.
1:13:19 Everyone needing to spend a lot on military.
1:14:04 AI also engages states in a race.
1:15:16 Anarchy is not a given: US example.
1:16:05 The forming of the United States.
1:17:24 This federacy model could apply to AI
1:18:03 Same idea was even proposed by Sam Altman.
1:18:54 How can we maximize the chances of success?
1:19:46 Part 3: How to actually form international treaties.
1:20:09 Calling for a world government scares people.
1:21:17 Genuine risk of global dictatorship.
1:21:45 We need a world /federal/ democratic government.
1:23:02 Why people are not outspoken.
1:24:12 Isn’t it hard to get everyone on one page?
1:25:20 Moving from anarchy to a social contract.
1:26:11 Many states have very little sovereignty.
1:26:53 Different religions didn’t prevent common ground.
1:28:16 China and US political systems similar.
1:30:14 Coming together, values could be better.
1:31:47 Critical mass of states.
1:32:19 The Philadelphia convention example.
1:32:44 Start with say seven states.
1:33:48 Date of the US constitutional convention.
1:34:42 US and China both invited but only together.
1:35:43 Funding will make a big difference.
1:38:36 Lobbying to US and China.
1:38:49 Conclusion.
1:39:33 Outro

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The question is, can DEI proponents, who are already being marginalized, retool? Can they see themselves as champions who will guide humanity — regardless of peoples’ race, class, sexual orientation, gender, etc. — in this Fourth Industrial Revolution?

For, if political leaders are as unable as they seem to establish meaningful guardrails, AI will push those struggling to live their best lives (a right that should belong to all) to be thrown so far under the bus that roadkill will be more recognizable.

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Possible beginnings of the Economic Singularity 🤖

“A seemingly endless wave of mass layoffs is ravaging the tech industry as startup fails skyrocket and tech giants shovel their operating budgets into the AI furnace.”

Silicon Valleys software engineers are finding their previously ironclad careers crumbling under the growing cost of AI development.

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That statement, now signed by twice as many concerned citizens, warned about the risk of human extinction from AI, which was perhaps a bit of an overreach, because … well, extinction? Come on! That’s just a movie with Arnold Schwarzenegger.

What they should have warned about was jobs — the redundancy and destitution of most of humanity, unless there’s some kind of universal income funded by taxes on robots.

What no-one talks about, as the AI revolution unfolds in stock market hype and scientific gung-ho, is what they’re all really trying to do.

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The development of artificial intelligence has entered a pivotal phase. With groundbreaking advancements in large models such as ChatGPT and Sora, AI is approaching what has been termed as “technological singularity”.The allure of AI’s potential is undeniable, but its immense potential is accompanied by significant risks including deepfakes, frauds and autonomous weapons systems.

The complexities and interconnectedness of AI pose a new global challenge. Hence, building a coordinated global governance framework for AI is no longer optional; it is an urgent necessity.

AI transcends national boundaries, creating both global opportunities and risks that no country alone can manage. Hence, countries across the world need to work together to eliminate the risks.

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Basically chat gpt can allow people that need to do more jobs can actually do several if not all jobs needed. Also essentially increase ones mental capacity and mental health due to that chat gpt can be almost like an external brain interface that can do nearly any job so that people can make even more money. Also people think this would replace people I believe it augments people like Ironman from marvel comics allowing to do tasks in seconds.#Ironman

A new breed of overemployed workers has emerged, turning to artificial intelligence (AI)-powered language models like ChatGPT to handle a significant portion of their job responsibilities.

“ChatGPT does like 80% of my job,” stated one worker, while another, currently holding down four robot-performed jobs, says, “Five would be overkill.”

As the popularity of AI-powered tools like ChatGPT continues to soar, concerns are growing about the impact on the global job market. With the potential for jobs to be automated and replaced by chatbots, experts are warning of a possible future where human workers become obsolete.

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In today’s AI news, When rivals take a different approach and succeed, it sometimes pays to change course. This is what Sam Altman said OpenAI will do, according to a Reddit AMA session on Friday. Altman was asked about DeepSeek, which has taken the tech world by storm after rolling out top-performing AI models that are relatively cheap to use.

Then, Andreessen Horowitz general partner and Mistral board member Anjney “Anj” Midha first spied DeepSeek’s jaw-dropping performance six months ago. That’s when DeepSeek introduced Coder V2, which rivaled OpenAI’s GPT4-Turbo for coding-specific tasks, according to a paper it released last year.

S V3 and R1 models. These efforts “achieved significant bypass rates, with little to no specialized knowledge or expertise being necessary.” ‘ + And, MLCommons, a nonprofit AI safety working group, has teamed up with AI dev platform Hugging Face to release one of the world’s largest collections of public domain voice recordings for AI research. The dataset, called Unsupervised People’s Speech, contains more than a million hours of audio spanning at least 89 languages.

In videos, in this episode of “How To Build The Future,” YC President and CEO Garry Tan sits down with Bob to discuss the lessons learned from his time at OpenAI, scaling laws, his advice for startups, and what all of this means for the jobs of the future.

Then, “Maybe I Got Carried Away” is an experimental short film that fuses playful visuals with a surreal narrative. It was created by [@panaviscope](https://www.youtube.com/@panaviscope) using Sora generated shots. The story follows a protagonist who begins releasing vibrant balloons into the sky as a personal act of rebellion against her city’s monotony.

Meanwhile, Shashank Dogra breaks down AI Agents in the simplest way possible. AI Agents: The Future of Business & Technology Agents are the new apps. In the near future, we expect to see thousands of AI agents transforming the way businesses operate.

We close out with NVIDIA Developer showing how DeepSeek-R1 model is packaged as NVIDIA NIM microservice delivers superior throughput performance and can be easily deployed on any GPU-accelerated system with standard API. Get started now at build.nvidia.com.

Continue reading “Sam Altman Says OpenAI Will Adopt AI Approaches From DeepSeek And Meta” | >

Connor Leahy joins the podcast to discuss the motivations of AGI corporations, how modern AI is “grown”, the need for a science of intelligence, the effects of AI on work, the radical implications of superintelligence, open-source AI, and what you might be able to do about all of this. Here’s the document we discuss in the episode: https://www.thecompendium.ai Timestamps: 00:00 The Compendium 15:25 The motivations of AGI corps 31:17 AI is grown, not written 52:59 A science of intelligence 01:07:50 Jobs, work, and AGI 01:23:19 Superintelligence 01:37:42 Open-source AI 01:45:07 What can we do?

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Keep Your Digital Life Private and Be Safe Online: https://nordvpn.com/safetyfirst.
Welcome to our comprehensive guide on “Nano Robots.” In this enlightening video, we will take a look at what nano robots are, how they work, and the ways in which they are being used today. We will examine the potential of nano robots and how they could be used in the future. We will also discuss the advantages and disadvantages of using nano robots.

Nano robots are made up of very small robots that are only a few nanometers across and are powered by electricity, magnets, or light. These robots can be used for many different things, like fixing damaged cells, keeping an eye on and controlling the environment, and fighting off diseases and infections. Nano robots can also be used to do hard jobs like surgery, making things, and even going to space.

These robots are very accurate and good at what they do, which makes them perfect for use in medicine and industry. Nano robots can be programmed to do many different things, like keep an eye on and control the environment, find and fix damage, and even fight off diseases and infections. They can also be used for more complicated jobs, like surgery, making things, and going to space.

Nano robots have a lot of benefits, such as being small, accurate, and fast. They are also very flexible because they can be programmed to do many different things and used in many different ways. But there are some problems with using nano robots, such as the cost of making them and the chance that they will break down.

In the end, nano robots are an important part of the future of technology and robotics. They are very small and accurate, and they can be used for many different things. They have many pros and cons, but with the right programming and use, they can change the way people interact with the world around them.

#ai.

Continue reading “Nano Robots Explained” | >