Sam Altman isn't joking

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Today we will be talking about -

• 🚀Sam Altman bullish on global AI coordination

• 📓Global AI strategic business report 2023

• 🎁UK-based Gensyn AI to decentralize AI development

All this and more - Let's dive in!

🗞️What’s cooking in the newsroom

OpenAI CEO optimistic about global AI cooperation

☕News - Sam Altman, the CEO of OpenAI, said on Monday that he is "quite optimistic" about the prospects for global coordination on artificial intelligence after he visited the capital cities of several countries to meet with policymakers and discuss AI regulation.

Altman said this while attending an open dialogue with students at Keio University in Japan. He is scheduled to visit Singapore, Indonesia, and Australia before returning to the United States

🤔But why is Altman so optimistic? Well, his optimism is based on two factors. First, he believes that there is a growing consensus among governments that AI is a technology that needs to be regulated. Second, he accepts that countries are starting to realize that they can achieve more by working together than by trying to go it alone.

😈 What are some challenges in global AI coordination?

• One challenge is that countries have different values and priorities when it comes to AI regulation. For example, some countries are more concerned about the potential for AI to be used for malicious purposes, while others are majorly concerned about the potential for AI to lead to job losses.

• Another challenge is that there is no clear consensus on what the best approach to AI regulation should be. Some countries favor a top-down approach, where governments set strict rules that companies must follow. Others favor a bottom-up approach, where companies are allowed to develop their own AI systems but are held accountable for the risks that they pose.

Global Artificial Intelligence market to reach $459.3B by 2030

🥵News - According to the Global Strategic Business Report, the global AI market is expected to grow from $68.8 billion in 2022 to $459.3 billion in 2030, at a compound annual growth rate (CAGR) of 26.8%.

In simpler terms, this means that the AI market is expected to grow by more than 2.5 times in the next 8 years. This growth is being driven by the increasing adoption of AI in a wide range of industries, including healthcare, finance, manufacturing, and retail.

🌟Some key facts the report revealed:

• The AI market in the US was worth $24.4 billion in 2022.

• China is expected to have the largest AI market in 2030, at $87.6 billion.

• Japan and Canada are also expected to have significant AI markets, growing at 21.3% and 23.4% respectively.

• Germany can have the fastest-growing AI market in Europe, at 26.9% CAGR.

The report also talks about the challenges that the AI market faces, such as the need for more data, the lack of skilled workers, and the ethical concerns surrounding AI. However, it concludes that the AI market is poised for significant growth in the coming years.

Gensyn AI secures $43M to develop a decentralized machine learning platform

📻Context of the news - Gensyn AI is a UK-based company that is aiming to democratize machine learning and AI development by creating a decentralized machine learning compute protocol.

Gensyn's platform will connect all of the machine learning capable compute hardware in the world and make it accessible to engineers, researchers, and academics. The company believes that this will make machine learning more affordable and accessible to a wider range of people.

📰News - To meet their target, the company has raised $43 million in Series A funding led by Andreessen Horowitz (a16z) crypto.

👽What exactly Gensyn AI is trying to achieve? By making machine learning more scalable, cost-effective, and decentralized, Gensyn is making it possible for developers to create AI tools that can be used to solve a wide range of problems. This could have a major impact on a variety of industries, including healthcare, finance, and retail.

🤔What else is happening?

• People are pirating GPT-4 by scraping exposed API keys

• OpenAI, DeepMind, and Anthropic to give the UK early access to foundational models for AI safety research

• Salesforce pledges to invest $500M in generative AI startups

• Meta's MusicGen AI creates song genre mashups using text

• Google's Generative AI platform 'Vertex' is open for public use now

📽️AI movie recommendation

• Ex Machina (2014) - A sci-fi film about a young programmer who is invited to participate in a secret experiment involving a humanoid robot, starring Alicia Vikander and Domhnall Gleeson.

• Her (2013) - A sci-fi romance film about a lonely writer who falls in love with his computer's operating system, starring Joaquin Phoenix and Scarlett Johansson.

• 2001: A Space Odyssey (1968) - A sci-fi epic about a team of astronauts who are sent on a mission to investigate a mysterious black monolith, starring Keir Dullea and Gary Lockwood.

• The Terminator (1984) - A sci-fi action film about a cyborg assassin who is sent back in time to kill a woman who will give birth to the leader of the human resistance in a future war against machines, starring Arnold Schwarzenegger and Linda Hamilton.

🤯Discover mind-blowing AI tools

1. Kaiber - Enables users to create videos from their own images or text description

2. Sloped - Helps users turn their data queries into shareable and easy-to-read dashboards

3. Lingosync - Enables businesses to broaden their global reach by translating videos into over 40 languages

4. Any Summary - Quickly summarizes long interview audio or video files

5. MealGenie - Uses AI to help users discover vegan recipes

6. Wiseone - Understand complex concepts and words in an article

7. FigCopy - Helps UI designers generate realistic and engaging copy for their designs

8. Whisper JAX - Provides accurate transcription of audio files with over 70x faster performance

9. AI Time Machine - Create hyper-realistic AI avatars of a person as he may have looked at different points in history

10. Tome - Helps you create compelling stories with any type of content

📚AI-based books

1. Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark. This book explores the potential impact of artificial intelligence on humanity, and it discusses the ethical and philosophical implications of creating machines that are smarter than humans.

2. Superintelligence: Paths, Dangers, Strategies by Nick Bostrom. The book discusses the potential dangers of artificial intelligence, and it argues that we need to take steps to ensure that AI is developed in a safe and responsible way.

3. The Master Algorithm: How the quest for the ultimate learning machine will remake our world by Pedro Domingos. This book explores the different approaches to artificial intelligence, and it argues that the "master algorithm" is the one that can learn from any data and solve any problem.

4. AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee. This book argues that China is poised to become the world leader in artificial intelligence, and it discusses the implications of this for the global economy and geopolitics.