Zuckerberg has recruited the top minds in artificial intelligence and put together a superintelligence team to compete in the race! What has drawn the most

Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in the form of drugs prescribed for other conditions. A team of researchers from Lawrence Livermore National Laboratory (LLNL), Stanford University and the University of California, Los Angeles (UCLA) are using artificial intelligence and machine learning (AI/ML) to try to find them.
Clinical trials for new drugs can take up to 5–7 years, so repurposing existing drugs is one of the best ways to deliver treatments quickly. AI/ML can make it even faster. By analyzing long-term electronic health records (EHRs) of patients with ALS, the team can identify drugs — or combinations of drugs — prescribed for other conditions that may influence the progression of the disease. The drugs’ “off-target” effects may not only affect patient survival but also provide insight into how neurodegenerative diseases work and inform better therapies.
“If you talk to any ALS caregiver, you will be moved because the disease has such a grim prognosis, so being able to do something is tremendously motivating,” said Priyadip Ray, a staff scientist in LLNL’s Computational Engineering Division (CED) who leads the effort.
Massimo Pigliucci, Roman Yampolskiy, Anders Sandberg, and Nadine Dijkstra discuss the latest developments in neuroscience and computer programming.
Can we upload our minds to computers?
With a free trial, you can watch the full debate NOW at https://iai.tv/video/consciousness-in-the-clouds?utm_source=…escription.
The idea of uploading our minds to the digital cloud has not only been taken seriously by Silicon Valley, but turned into a detailed business plan. Elon Musk claims digitising consciousness will revolutionise humanity, and the industry is estimated to be worth $50 billion by 2030. But it’s unknown whether, in principle, we can replicate minds with computer code, or whether we should seek to do so. Critics argue we have no idea how a machine could create consciousness, and neuroscientists have yet to provide an explanation for how the brain does so. A survey of specialists by Nature found the majority thought it unlikely AI would achieve consciousness anytime soon.
Should we see talk of uploading our minds to the cloud as implausible tech marketing nonsense? Should we conclude that if thought and consciousness are unobservable, it will not be possible to replicate the mind with silicon chips? Or is digital immortality such a profound and important sea change in our lives and potential that we should pursue it at all costs?
#consciousness #ai #artificialintelligence #elonmusk #neuralink #neuroscience.
Questions to inspire discussion.
🚀 Q: How might Elon Musk’s diverse projects contribute to Tesla’s value? A: Musk’s involvement in AI, energy, transportation, and communication through projects like Tesla, SpaceX, and Neuralink demonstrates his capacity to make progress on multiple fronts, potentially creating significant value for Tesla.
Political Involvement and Economic Strategy.
🏛️ Q: Why is Elon Musk getting involved in politics? A: Musk’s political involvement aims to create a better political system on Earth, addressing the unsustainability of US government spending and debt to avoid a fiscal doom loop.
📊 Q: What is Musk’s strategy to improve the US economy? A: Musk plans to accelerate GDP growth through AI-driven growth, humanoid bots, and reducing government spending and waste, potentially breaking free from the constant 7% growth line of the US stock market.
💰 Q: How could reducing government spending benefit the economy? A: By cutting wasteful spending and implementing a balanced budget requirement, the US could potentially grow its economy faster than its spending, reducing interest costs and freeing up money for other investments.
Tesla’s launch of a robo-taxi network marks the beginning of a significant transportation disruption that will transform mobility, economy, geopolitics, and urban landscapes with the widespread adoption of electric autonomous vehicles ## ## Questions to inspire discussion.
Transportation Revolution.
🚗 Q: How will Tesla’s Robotaxi network impact transportation? A: Tesla’s Robotaxi network in Austin, Texas marks the ignition point for transportation disruption, with multiple companies competing to provide taxi rides without human drivers, potentially capturing 80–90% market share in 10–15 years.
🛢️ Q: What industries will be disrupted by autonomous electric vehicles? A: Autonomous electric vehicles will disrupt the oil and agriculture industries, as vehicles are the number one users of crude oil, and corn is the top agricultural product in the US, used to produce ethanol for gasoline.
🌆 Q: How will urban planning change with the rise of autonomous vehicles? A: Cities will repurpose parking spaces for retail, living areas, and solar panels, transforming urban planning and enabling new forms of transportation, including drones and aircraft.
Environmental Impact.
In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of artificial intelligence can resemble those of a human brain.
There are several similarities in how machines and human brains work, for example, in how they represent the world in abstract form, generalise from limited data, and process data in layers. A new paper in Nature Communications is adding another feature to the list: Convexity.
“We found that convexity is surprisingly common in deep networks and might be a fundamental property that emerges naturally as machines learn,” says the senior author.
Australian researchers, including those at the Charles Perkins Centre at the University of Sydney
The University of Sydney is a public research university located in Sydney, New South Wales, Australia. Founded in 1850, it is the oldest university in Australia and is consistently ranked among the top universities in the world. The University of Sydney has a strong focus on research and offers a wide range of undergraduate and postgraduate programs across a variety of disciplines, including arts, business, engineering, law, medicine, and science.
As waiting rooms fill up, doctors get increasingly burned out, and surgeries take longer to schedule and more get canceled, humanoid surgical robots offer a solution. That’s the argument that UC San Diego robotics expert Michael Yip makes in a perspective piece in Science Robotics.
Today’s surgical robots are costly pieces of equipment designed for specialized tasks and can only be operated by highly trained physicians. However, this model doesn’t scale.
Despite the drastic improvements in artificial intelligence and autonomy for industrial and humanoid robots in the past year, these improvements haven’t translated to surgical robots.
Researchers in Canada have developed an optical chip that harnesses the power of light to transfer data at unprecedented speed.