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Planets may start forming before stars even finish growing

New high-resolution images of protoplanetary disks in the Ophiuchus star-forming region, created with improved analysis. The resolution is shown by the white ellipse in the lower left of each panel, with a smaller ellipse indicating higher resolution. The white line in the lower right of each panel indicates a scale of 30 au. The evolution stage of the central stars progresses from left to right, and from top to bottom in the same row. (Credit: ALMA(ESO/NAOJ/NRAO), A. Shoshi et al.)

In a stellar nursery 460 light-years away, astronomers sharpened old ALMA data and spotted crisp rings and spirals swirling around 27 infant stars—evidence that planets start taking shape just a few hundred thousand years after their suns ignite, far earlier than anyone expected.

Signs of planet formation may appear earlier than expected around still-forming baby stars, according to new results of higher resolution images produced using new improved techniques to reanalyze radio astronomy archive data. These newly discovered signs of planet formation will provide a better understanding of when it begins around a young star, thereby elucidating the process that leads to planet formation, including habitable planets like Earth.

Can we upload consciousness to computers? | Pigliucci, Yampolskiy, Sandberg, Dijkstra

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.

Continue reading “Can we upload consciousness to computers? | Pigliucci, Yampolskiy, Sandberg, Dijkstra” | >

Elon Just Made Tesla Unstoppable

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.

Continue reading “Elon Just Made Tesla Unstoppable” | >

Rivian CEO Exposes Legacy Automaker EV Lies

Rivian CEO RJ Scaringe claims that legacy automakers are intentionally slowing down electric vehicle adoption and hindering competition to protect their profits from gas-powered vehicles, which could threaten their survival and allow newer EV makers like Rivian and Tesla to dominate the market ## ## Questions to inspire discussion.

Legacy Automakers and EVs.

🚗 Q: Why are legacy automakers resistant to selling EVs? A: Legacy automakers don’t want to sell EVs because they make good margins on low-efficiency gas cars and can sell them at a premium price, preferring to see the EV market disappear.

🏛️ Q: How are legacy automakers fighting against EV policies? A: Legacy automakers are the biggest adversaries of EV policies, spending the most energy fighting against them in DC, reflecting their desire for the EV market to vanish. Rivian’s Challenges and Strategy.

💰 Q: What financial challenge does Rivian face? A: Rivian has a massive $23 billion debt, making it more indebted than any startup has ever been, requiring 10–20 years to become cash flow positive.

🛻 Q: How is Rivian addressing its product pricing? A: Rivian’s R2 electric truck, launching in 2025, will target a **$45,000 starting price, a strategic move to make their products more accessible.

Continue reading “Rivian CEO Exposes Legacy Automaker EV Lies” | >

The Dawn of Tesla’s Robotaxi Network & Automated Transportation

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.

Continue reading “The Dawn of Tesla’s Robotaxi Network & Automated Transportation” | >

Largest review of antidepressants to date finds most people do not experience severe withdrawal

The largest review of “gold standard” antidepressant withdrawal studies to date has identified the type and incidence of symptoms experienced by people discontinuing antidepressants, finding most people do not experience severe withdrawal.

“Incidence and Nature of Antidepressant Discontinuation Symptoms, A Systematic Review and Meta-analysis” was published in JAMA Psychiatry.

In a and meta-analysis of previous randomized controlled trials relating to antidepressant withdrawal, a team of researchers led by Imperial College London and King’s College London concluded that, while participants who stopped antidepressants did experience an average of one more symptom than those who continued or were taking placebos, this was not enough to be judged as significant.

Dark matter could create dark dwarfs at the center of the Milky Way

Dark matter is one of nature’s most confounding mysteries. It keeps particle physicists up at night and cosmologists glued to their supercomputer simulations. We know it’s real because its mass prevents galaxies from falling apart. But we don’t know what it is.

Dark matter doesn’t like other matter and may prefer its own company. While it doesn’t seem to interact with regular baryonic matter, it could possibly react with itself and self-annihilate. It needs a tightly-packed environment to do that, and that may lead to a way astrophysicists can finally detect it.

New theoretical research outlines how this could happen and states that sub-stellar objects, basically , could host the process. The research is titled “Dark dwarfs: -powered sub-stellar objects awaiting discovery at the ,” and it’s published in the Journal of Cosmology and Astroparticle Physics. The lead author is Djuna Croon, a and assistant professor in the Institute for Particle Physics Phenomenology in the Department of Physics at Durham University.

Machines learn like us!

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.