Russian experts monitoring their moon-bound unmanned spacecraft Luna-25 have switched on its scientific equipment and started processing the first data.
Russia is aiming to become the first country to carry out a soft landing on the lunar south pole — a region thought to hold pockets of water ice.
Space agency Roscosmos said in a statement on Sunday: Luna-25 continues its flight to the Earth’s natural satellite — all systems of the automatic station are working properly, communication with it is stable, the energy balance is positive.
Cyrus Hodes alleges that CEO Emad Mostaque deceived him into selling his 15% stake for $100—three months before the startup reached a $1 billion valuation. His stake would be worth over $500 million now.
Mostaque convinced Hodes “that the company he had helped build was essentially worthless,” leading him to sell his shares to him in October 2021 and May 2022, according to a complaint filed in San Francisco federal court on July 13.
“But just a few months later, in August 2022, the company engaged in a seed funding round in which venture capital firms invested $101 million at a post-money valuation of $1 billion,” the complaint states. “More recently, the company has been in the marketplace seeking funding at a valuation of $4 billion.”
Alexandra is a very attentive girlfriend. “Watching CUBS tonight?” she messages her boyfriend, but when he says he’s too busy to talk, she says, “Have fun, my hero!” Alexandra is not real. She is a customizable AI girlfriend on dating site Romance. AI. As artificial intelligence seeps into seemingly every corner of the internet, the world of romance is no refuge. AI is infiltrating the dating app space – sometimes in the form of fictional partners, sometimes as advisor, trainer, ghostwriter or matchmaker. https://www.cnn.com/2023/08/13/tech/ai-dating-apps/index.html
An experimental video shows what video games could feel like if characters were aware of and responsive to themselves and their surroundings.
YouTuber Foxmaster took on the classic game “Tomb Raider” in its original version. Using various AI tools for machine vision, localization, object recognition, animation, text, and speech, he breathed digital life into the game character, or more specifically, a Lara Croft bot that controls its own character.
First of all, it is not clear from the video to what extent the individual components of the project have been fully implemented. The description states that the video is “possibly inaccurate” and intended for entertainment purposes.
Numerai is a groundbreaking platform which is taking the data science world by storm. Tim has been using Numerai to build state-of-the-art models which predict the stock market, all while being a part of an inspiring community of data scientists from around the globe. They host the Numerai Data Science Tournament, where data scientists like us use their financial dataset to predict future stock market performance.
In this fascinating interview, Dr. Tim Scarfe speaks with renowned philosopher Daniel Dennett about the potential dangers of AI and the concept of “Counterfeit People.” Dennett raises concerns about AI being used to create artificial colleagues, and argues that preventing counterfeit AI individuals is crucial for societal trust and security.
They delve into Dennett’s “Two Black Boxes” thought experiment, the Chinese Room Argument by John Searle, and discuss the implications of AI in terms of reversibility, reontologisation, and realism. Dr. Scarfe and Dennett also examine adversarial LLMs, mental trajectories, and the emergence of consciousness and semanticity in AI systems.
Throughout the conversation, they touch upon various philosophical perspectives, including Gilbert Ryle’s Ghost in the Machine, Chomsky’s work, and the importance of competition in academia. Dennett concludes by highlighting the need for legal and technological barriers to protect against the dangers of counterfeit AI creations.
On this episode, Daniel Schmachtenberger returns to discuss a surprisingly overlooked risk to our global systems and planetary stability: artificial intelligence. Through a systems perspective, Daniel and Nate piece together the biophysical history that has led humans to this point, heading towards (and beyond) numerous planetary boundaries and facing geopolitical risks all with existential consequences. How does artificial intelligence, not only add to these risks, but accelerate the entire dynamic of the metacrisis? What is the role of intelligence vs wisdom on our current global pathway, and can we change course? Does artificial intelligence have a role to play in creating a more stable system or will it be the tipping point that drives our current one out of control?
About Daniel Schmachtenberger: Daniel Schmachtenberger is a founding member of The Consilience Project, aimed at improving public sensemaking and dialogue.
The throughline of his interests has to do with ways of improving the health and development of individuals and society, with a virtuous relationship between the two as a goal.
Towards these ends, he’s had particular interest in the topics of catastrophic and existential risk, civilization and institutional decay and collapse as well as progress, collective action problems, social organization theories, and the relevant domains in philosophy and science.
For Show Notes and.
Daniel’s recommended content for further AI learning:
Peter has had a long and storied career, starting over 20 companies in the areas of longevity, space, venture capital and education since he graduated MIT in the early ‘80s and subsequently completing his Doctor of Medicine studies at Harvard Medical School.
Peter’s entrepreneurial spirit, fascination with space travel and thirst to innovate are central to his core business philosophy and approach of “exponential thinking”. He advocates that technology and innovation progress exponentially and that disruptive technologies and entrepreneurial approaches can solve humanity’s most significant challenges and create a future of abundance.
Since the release of ChatGPT, huge amounts of attention and funding have been directed toward chatbots. These A.I. systems are trained on copious amounts of human-generated data and designed to predict the next word in a given sentence. They are hilarious and eerie and at times dangerous.
But what if, instead of building A.I. systems that mimic humans, we built those systems to solve some of the most vexing problems facing humanity?
In 2020, Google DeepMind unveiled AlphaFold, an A.I. system that uses deep learning to solve one of the most important challenges in all of biology: the so-called protein-folding problem. The ability to predict the shape of proteins is essential for addressing numerous scientific challenges, from vaccine and drug development to curing genetic diseases. But in the 50-plus years since the protein-folding problem had been discovered, scientists had made frustratingly little progress.
Enter AlphaFold. By 2022, the system had identified 200 million protein shapes, nearly all the proteins known to humans. And DeepMind is also building similar systems to accelerate efforts at nuclear fusion and has spun off Isomorphic Labs, a company developing A.I. tools for drug discovery.
Demis Hassabis is the chief executive of Google DeepMind and the leading architect behind AlphaFold. So I asked him on the show to talk me through how AlphaFold actually works, the kinds of problems similar systems could solve and what an alternative pathway for A.I. development could look like.
Quantum computing could give us machines massively more powerful than today’s, but we still have a long way to go, say leaders in the field.
The tech story of the century so far has been the mainstream arrival of generative artificial intelligence, which drives the uncanny capabilities of systems such as ChatGPT, and is fast being absorbed into our everyday lives.
Whether to mimic human creativity, double as empathetic counsellor or eliminate clerical drudgery, generative AI has delivered an unprecedented surge in excitement for its potential benefits.
Of equal concern are possible negatives: catastrophic job losses, widespread disinformation, and even – at the wildly unsettling end of the… More.
Quantum computing will change the world as we know it, but more breakthroughs are needed before we see the hugely powerful processors become an everyday reality, say quantum physicists.
