This pushes back on the notion that high-paying roles requiring advanced education are immune to automation.
Category: robotics/AI – Page 74
We speak with Sakana AI, who are building nature-inspired methods that could fundamentally transform how we develop AI systems.
The guests include Chris Lu, a researcher who recently completed his DPhil at Oxford University under Prof. Jakob Foerster’s supervision, where he focused on meta-learning and multi-agent systems. Chris is the first author of the DiscoPOP paper, which demonstrates how language models can discover and design better training algorithms. Also joining is Robert Tjarko Lange, a founding member of Sakana AI who specializes in evolutionary algorithms and large language models. Robert leads research at the intersection of evolutionary computation and foundation models, and is completing his PhD at TU Berlin on evolutionary meta-learning. The discussion also features Cong Lu, currently a Research Scientist at Google DeepMind’s Open-Endedness team, who previously helped develop The AI Scientist and Intelligent Go-Explore.
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Rather than simply scaling up models with more parameters and data, they’re drawing inspiration from biological evolution to create more efficient and creative AI systems. The team explains how their Tokyo-based startup, founded in 2023 with $30 million in funding, aims to harness principles like natural selection and emergence to develop next-generation AI.
Summary: Concerns over potential negative impacts of AI have dominated headlines, particularly regarding its threat to employment. However, a closer examination reveals AI’s immense potential to revolutionize equal and high quality access to necessities such as education and healthcare, particularly in regions with limited access to resources. From India’s agricultural advancements to Kenya’s educational support, AI initiatives are already transforming lives and addressing societal needs.
The latest technology panic is over artificial intelligence (AI). The media is focused on the negatives of AI, making many assumptions about how AI will doom us all. One concern is that AI tools will replace workers and cause mass unemployment. This is likely overblown—although some jobs will be lost to AI, if history is any guide, new jobs will be created. Furthermore, AI’s ability to replace skilled labor is also one of its greatest potential benefits.
Think of all the regions of the world where children lack access to education, where schoolteachers are scarce and opportunities for adult learning are scant.
Firefly robot spacecraft landed on the Moon! 🤖🌒
Blue ghost’s amazing view of the moon from 62 miles up.
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Shipping bots ready. Amazon has 1.5 MILLION employees. Economic Singularity approaches.
Introducing a new real-world application for Figure robots: logistics package manipulation and triaging.
Here’s a detailed report on Helix in Logistics: https://www.figure.ai/news/helix-logistics
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
OpenAI and nine national labs bring together leading scientists for first-of-its kind event.
While the robot presents a glimpse into the future of robotic caregiving, it will only be ready by 2030.
Developed by researchers from Waseda University, the AI-driven robot addresses Japan’s caregiver shortage in the wake of an ageing population.
Could your driving habits reveal your mental health? Research shows AI can analyze driving data to identify depression risk in older adults.
Meta AI will soon become one of the social media company’s standalone apps, joining Facebook, Instagram and WhatsApp, CNBC has learned.
S plans to make his company the leader in artificial intelligence by the end of the year, ahead of competitors such as OpenAI and Alphabet, said the people, who asked not to be named because the project is confidential. + The Meta AI chatbot launched in September 2023, with the company pitching it as a generative AI-powered digital assistant that can provide responses and create images based on user prompts within its existing apps. The company brought Meta AI to the forefront of its apps in April, when it replaced the search feature for Facebook, Instagram, WhatsApp and Messenger with the chatbot.
S generative AI technologies to billions of consumers. This is going to be the year when a highly intelligent and personalized AI assistant reaches more than 1 billion people, and I expect Meta AI to be that leading AI assistant, Zuckerberg told analysts during the company s apps such as Facebook and WhatsApp. Although Meta [ https://open.substack.com/pub/remunerationlabs/p/meta-ai-cou…Share=true](https://open.substack.com/pub/remunerationlabs/p/meta-ai-cou…Share=true)
The Meta AI app marks a major step in CEO Mark Zuckerberg’s plan to make his company the leader in AI by the end of the year, ahead of competitors such as OpenAI and Alphabet, the people said.