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Yuval Boger is the Chief Commercial Officer of QuEra Computing, a leader in neutral-atom quantum computers.

Quantum computing and artificial intelligence stand at the forefront of modern technological advancement, each representing a paradigm shift that can transform industries ranging from healthcare and finance to logistics and materials science. Not long ago, these two fields appeared to be competitors vying for the same innovation budgets—while AI generated immediate returns, quantum computing was seen as a more speculative endeavor. However, the reality is more nuanced. Rather than being rivals, quantum and AI can symbiotically accelerate one another’s progress, sparking breakthroughs that neither could achieve in isolation.

AI is widely deployed today, driving business value via deep learning models, sophisticated analytics platforms and even self-driving technologies. Executives can see tangible returns in short timeframes, spurring widespread adoption. Quantum computing, by contrast, has yet to reach full commercial viability.

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As the age of technology continues to explode, it is essential that we do not gloss over the amount of learning and skill it takes to address the ever-increasing complexity of technology, society and business. This moment affords us a unique opportunity. To design our learning levels and to design our professionals. I thought I would take that opportunity to show some of the skills necessary in architecture and how important they are to creating the next generation of leaders.

As one person said to me just yesterday, “The current business environment does not allow the application of such deep learning and reflection in architecture. We have to get in and do what we can fast.” I hear similar quotes regularly. And that is ok, there are times when we have to move quickly. But there are many more times we need a deeply experienced professional to be able to move quickly!

What does it mean to learn a skill? It means to have repeated success at that competency, over and over with the guidance of someone even more experienced. It means understanding theory, practice, and what can go wrong!

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Chinese artificial intelligence startup DeepSeek’s latest AI model sparked a $1 trillion rout in US and European technology stocks, as investors questioned bloated valuations for some of America’s biggest companies.
DeepSeek’s latest AI model rose to the top of the Apple’s appstore charts over the weekend, presenting a visible challenge to costlier models like OpenAI and raising questions over the hundreds of billions in planned spending on the technology by the likes of Microsoft Corp., Meta Technologies Inc. and Alphabet Inc.
It also put a spotlight AI chip producer Nvidia Corp., whose shares soared ninefold in the past two years, making it the highest-valued company in the world. The Santa Clara, California-based firm slid more 10% in premarket trading Monday — a drop that would zap about $340 billion in market value if it were to hold in the cash session.
Nasdaq 100 futures tumbled as much as 5.2% in overnight trading before paring the loss to 3.9% as of 7:30 a.m. in New York. That marked the biggest intraday drop for the contracts since August. In Europe, tech stocks led market losses, with shares of chip equipment maker ASML Holding NV down as much as 12%. The Cboe Volatility Index, known as the VIX, surged to 21.5. The Nasdaq 100 and Europe’s Stoxx 600 technology sub-index were together set for a market capitalization wipeout of $1.2 trillion, if the losses hold.
Bloomberg Intelligence senior analyst Mandeep Singh provides analysis on Bloomberg Surveillance Radio.

#nvidia #nvda #msft #amzn #bitcoin #sofi #aapl #amd #qqq #goog #baba #pltr.
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Nvidia’s stock plummeted 18% due to investor concerns about Chinese AI startup DeepSeek, erasing a record $560 billion from its market capitalization.
The decline had a ripple effect on the market, causing the S&P 500 to fall as much as 2.3% and the Nasdaq 100 to tumble as much as 3.6%.
DeepSeek’s low-cost AI model has sparked concerns that US companies have overspent on AI development, and that the Chinese firm’s approach could disrupt the current AI business model. Gregory Allen, Director of the Wadhwani AI Center at the Center for Strategic and International Studies joins Balance of Power to discuss.
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Watch Bloomberg Radio LIVE on YouTube.
Weekdays 7am-6pm ET
WATCH HERE: http://bit.ly/3vTiACF

Follow us on X: / bloombergradio.

Bloomberg Daybreak: http://bit.ly/3DWYoAN
Bloomberg Surveillance: http://bit.ly/3OPtReI
Bloomberg Intelligence: http://bit.ly/3YrBfOi.
Balance of Power: http://bit.ly/3OO8eLC
Bloomberg Businessweek: http://bit.ly/3IPl60i.

Listen on Apple CarPlay and Android Auto with the Bloomberg Business app:
Apple CarPlay: https://apple.co/486mghI
Android Auto: https://bit.ly/49benZy.

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On September 20, as part of the TRIADS Speaker Series, philosopher David Chalmers will visit WashU to pose a seemingly straightforward question: “Can ChatGPT Think?”

While Chalmers isn’t in the business of providing a direct “yes” or “no” answer to philosophical quandaries like these, he’s perhaps one of the best-qualified minds to ask the question and unravel its potential implications. Whether in the form of books or TED Talks, Chalmers has grappled with the nature of human consciousness for the better part of three decades. And on a parallel track, he has kept a close eye on the development of artificial intelligence, penning journal articles on the subject and presenting at AI conferences since the early ’90s.

Chalmers, now a New York University Professor of Philosophy and Director of the NYU Center for Mind, Brain, and Consciousness, met via Zoom to discuss the marvels and mysteries of ChatGPT, how he uses philosophical questions to gauge the progress of large language models, and his two years spent at Washington University as a postdoctoral fellow.

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In today’s AI news, OpenAI released its o3-mini model one week ago, offering both free and paid users a more accurate, faster, and cheaper alternative to o1-mini. Now, OpenAI has updated the o3-mini to include an updated chain of thought.

In other advancements, Hugging Face and Physical Intelligence have quietly launched Pi0 (Pi-Zero) this week, the first foundational model for robots that translates natural language commands directly into physical actions. “Pi0 is the most advanced vision language action model,” said Remi Cadene, a research scientist at Hugging Face.

S Luxo Jr., Apple And, one year later the Rabbit R1 is actually good now. It launched to reviews like “avoid this AI gadget”, but 12 months have passed. Where is the Rabbit R1 now? Well with a relentless pipeline of updates and novel AI ideas…it’s actually pretty good now!?

In videos, Moderator Shirin Ghaffary (Reporter, Bloomberg News) leads a expert panel which includes; Chase Lochmiller (Crusoe, CEO) Costi Perricos (Deloitte, Global GenAI Business Leader) Varun Mohan (Codeium, Co-Founder and CEO) that ask, how are we building the infrastructure to support this massive global technological revolution?

Meanwhile, Humans are terrible at detecting lies, says psychologist Riccardo Loconte… but what if we had an AI-powered tool to help? He introduces his team’s work successfully training an AI to recognize falsehoods.

And, Mo Gawdat, the former Chief Business Officer for Google X, bestselling author, the founder of ‘One Billion Happy’ foundation, and co-founder of ‘Unstressable,’ joins Professor Scott Galloway to discuss the state of AI — where it stands today, how it’s evolving, and what that means for our future.

We close out with, Dialogue at UTokyo GlobE held an event with CEO Sam Altman of OpenAI and CPO, Kevin Weil. President Teruo Fujii and Executive Vice President Kaori Hayashi welcomed the two guests, along with 36 students whose major ranged from engineering to medicine to philosophy.

Thats all for today, but AI is moving fast — like, comment, and subscribe for more AI news! Please vote for me in the Entrepreneur of Impact Competition today! Thank you for supporting my partners and I — it’s how I keep Neural News Network free.

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This OpenAI update is available to free and paid users and could make getting the results you want easier.

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Moran Cerf disucssess why we dream, and goes deeper into explaining the different versions of the relevance of dreams in life.

FULL INTERVIEW — • moran cerf: neural implants, hacking…

ABOUT MORAN:
Prof. Moran Cerf is professor of business at Columbia business school. His academic research uses methods from neuroscience to understand the underlying mechanisms of our psychology, behavior changes, emotion, decisions, and dreams.

Learn More About Moran’s Work Here: https://www.morancerf.com.

Read more about my upcoming book here — https://throughconversations.substack…

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Continue reading “‘AI Will Become Conscious’ — Top Neuroscientist on Artificial Intelligence and Consciousness” | >