Musk's xAI challenges ChatGPT
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Today we will discuss-
🚀Elon Musk's xAI set to debut first GenAI model
🤖AI could match human intelligence by 2028: Google Chief
🤝Governments and companies to test new AI models together
😱13 amazing AI tools you might not have heard of
All this and more - Let's dive in!
👩🍳What’s cooking in the newsroom?
Elon Musk's AI startup, xAI, ready to launch its first GenAI model to a limited group
♨️News - Tech billionaire Elon Musk, has confirmed that his artificial intelligence startup, xAI, is set to launch its first GenAI model to a select group of people.
This announcement comes roughly a year after OpenAI's ChatGPT caught the eye of businesses and users worldwide, resulting in a notable surge in the adoption of generative AI technology. Interestingly, Musk was one of the co-founders of OpenAI in 2015. However, he made the decision to resign from the company's board in 2018.
Do we have any details on the new model though? Well, not really. But Musk has stated that xAI's new model is, in certain critical aspects, the best one currently accessible, highlighting its capabilities and potential.
Moreover, Musk had previously revealed that his intention is to create a "maximum truth seeking model," which simply means an AI designed to provide highly accurate and truthful information or responses. He had also mentioned that the model would be developed in a way that would enable it to understand the true nature of the universe, positioning it as a competitor to Google's Bard and OpenAI’s ChatGPT.
On a side note, the xAI team, formed in July of this year, comprises of experts from Google's DeepMind, Microsoft's Windows division, and other prominent AI research companies, raising expectations significantly.
Google DeepMind co-founder says AI has a 50% chance of matching human intelligence in 5 years
👨💻News - In a recent interview with tech podcaster Dwarkesh Patel, the co-founder of Google's DeepMind artificial intelligence lab – Shane Legg, stated that AI has a 50% chance of achieving human-level intelligence by 2028. This is a prediction he first made over a decade ago, and yet continues to stand by it.
It is a significant prediction, given the rapidly increasing interest in the field. In this regard, OpenAI CEO Sam Altman has long advocated for AGI (artificial general intelligence), an agent capable of performing intellectual tasks like a human, with the potential to benefit everyone.
🧐How did he make this prediction though? Legg started thinking about his 2028 prediction back in 2001 when he read a book called "The Age of Spiritual Machines" by Ray Kurzweil.
He said that there were two important points in the book that he believed could lead to AI achieving human-level intelligence. One that computational power would grow very fast, the second that there would be a lot more data in the world, and both would keep increasing for several decades.
🤔Has anything changed since then? Today, the co-founder believes that there are certain factors that researchers should consider if they are looking to create AGI.
According to him, the most important factor to consider is that it's tricky to define AGI because it's tied to how we define human intelligence, which is complex and not easy to test. However, he explained that if scientists could create a set of tests for human intelligence, and an AI system did well on those tests, then you could consider it an AGI.
Governments and companies reach agreement to test AI models, concluding UK's AI summit
☕News - On 2 November, British PM Rishi Sunak announced that a landmark agreement had been reached between like-minded governments and artificial intelligence companies. Under this agreement, AI developers and governments will work together to test new AI models before they're launched.
Until now, the only ones testing the safety of new AI models have been the companies developing them, which several leaders believe to be unreliable. Thus, this collaborative action on testing is aimed at better controlling the potential risks associated with the fast-paced AI models.
😃What's more? The agreement talks involved Microsoft-backed OpenAI, Anthropic, Google DeepMind, Microsoft, Meta, along with representatives from the U.S., EU, France, Germany, Italy, Japan, South Korea, Singapore, Canada and Australia.
However, China was not part of the list of countries that agreed to the safety testing collaboration, as their representatives were not invited during the second day of discussions.
Nevertheless, PM Sunak remarked that the Bletchley declaration, the commitment to testing, and the pledge to create an international panel on AI risks – all achieved during the summit, will shift the balance in humanity's favor.
👩🏼💻What else is happening?
The Radical AI Podcast - It highlights the voices of marginalized and radical people in the field of artificial intelligence. Hosted by Dylan and Jess, the podcast features interviews with researchers, practitioners, and activists who are working to create a more equitable and just future for AI.
Redefining AI - A tech podcast hosted by LinkedIn Top Artificial Intelligence voice Lauren Hawker Zafer. The show features candid conversations with global thought leaders about key narratives driving technical innovation and AI literacy. Guests are accomplished global thought leaders from a variety of tech-fueled ecosystems.
Adventures in Machine Learning - The podcast mainly focuses on machine learning fundamentals and interviews experts in the field. Topics covered include recommendation engines, maximizing efficiency in project development, and the challenges of LLM implementation.
👩🏼🚒Discover mind-blowing AI tools
Jaq n Jil - An AI writing assistant designed to help agencies, freelance writers, and small business owners
TwoShot - A music sampling tool that offers over 200,000 samples for music producers and artists
Airparser - A tool that uses AI and GPT technology to extract structured data from various documents
Elessar - A platform that enhances engineering productivity by providing visibility and documentation for development teams
Umbrellabird - A tool that simplifies the process of creating product documents from user interview recordings
CandyIcons - Offers a simple three-step process to generate unique icons based on keywords and preferences
InPixio - Photo editing tool that offers a range of features to enhance and transform images
Looking Glass Blocks - A holographic sharing platform that allows 3D creators to convert 2D images into holograms
LALAL.AI - Allows users to extract vocal, accompaniment, and various instruments from any audio and video file
QRCraft - Generates QR codes and transforms them into artistic works of art
Botsy Gifts - Helps users find gift ideas based on their loved one's social media accounts
GPTforSlides - Integrates seamlessly with Google Slides, enabling users to generate visually appealing presentations
Metering AI - It makes usage-based billing and Stripe billing easier by bridging the gap between the two
Do Androids Dream of Electric Sheep? by Philip K. Dick - It is a Sci-fi book set in a post-apocalyptic future where Earth has been devastated by a nuclear war. Adapted into the iconic film Blade Runner, the story follows Rick Deckard, a bounty hunter whose job is to "retire" or destroy rogue androids that have escaped to Earth from the off-world colonies where they were manufactured.
Queen of Angels by Greg Bear - It is a Sci-fi novel set in the year 2047. The plot revolves around the use of advanced technology in the future which allows for the examination and manipulation of human thoughts and emotions. The book is known for its intricate plot, complex characters, and exploration of the potential consequences of merging human minds with technology.
Neuromancer by William Gibson - It is a science fiction novel set in a dystopian future. The story's protagonist, Case, is a washed-up computer hacker who is hired to pull off a complex hack that exposes him to a powerful AI entity. Throughout the novel, Gibson explores the concept of artificial intelligence and its potential to achieve self-awareness and consciousness.
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