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We Can’t Predict All The Innovations AI Will Enable — But Here Are A Few

For example, Real Entrepreneur Women, a career coaching service, has developed an AI coach called Skye. “Skye is designed to help female coaches cut through overwhelm by providing actionable strategies and personalized support to grow their businesses,” said founder Sophie Musumeci. “She’s like having a dedicated business strategist in your pocket – streamlining decision-making, creating tailored content, and helping clients stay consistent. It’s AI with heart, designed to scale human connection in industries where trust and relationships are everything.”

In the next few years, Musumeci predicted, “I see democratized AI creating new business models where the gap between big and small players closes entirely, giving more entrepreneurs the confidence and capability to thrive.”

Education is another area ripe for AI disruption, and it’s possibilities for hyper-personalization in learning. “The current education system in USA is designed to educate the masses,” said Andy Thurai, principle analyst with Constellation Research. “It assumes everyone is at the same skill level and same interest in areas of topic and same expertise. It tries to push the information down our throats, and forces us to learn in a certain way.”

Which AI Agent Is The Best? This New Leaderboard Can Tell You

In today’s AI news, Galileo launched an Agent Leaderboard on Hugging Face, an open-source AI platform where users can build, train, access, and deploy AI models. The leaderboard is meant to help people learn how AI agents perform in real-world business applications and help teams determine which agent best fits their needs.

In other advancements, Bloomberg reported Friday that xAI is canvassing existing investors, including Sequoia Capital, Andreessen Horowitz, and Valor Equity Partners for the round, which would bring xAI’s total raised to $22.4 billion, according to Crunchbase. Bloomberg also noted that discussions are ongoing and that the terms of the fundraising round may change.

Ve done mobile app development will know how challenging it can be to deliver the right kind of experience on a smartphone. + And, while speaking with former U.K. Prime Minister Tony Blair at the World Governments Summit in Dubai on Wednesday, Oracle cofounder and executive chairman, Larry Ellison said that while government organizations collect massive amounts of data, it is highly fragmented, making it hard to feed it into an AI model.

In videos, the Imagination in Action video series from Davos 2025 is being uploaded and we’re featuring the sessions in today’s newsletter. First we dive into an in-depth panel discussion featuring AI visionaries Max Tegmark, Demis Hassabis, Yoshua Bengio, Dawn Song, and Ya-Qin Zhang. In this engaging conversation, the experts unpack the distinctions between narrow AI, AGI, and super intelligence …

And, an expert panel explores how regulation can drive innovation in AI, featuring perspectives from panelists: Robert Mahari, JD-PhD at Massachusetts Institute of Technology and Harvard Law School, Pablo Arredondo, Vice President of CoCounsel at Thomson Reuters and Founder of Casetext, Part of Thomson Reuters, Julia Apostle, Partner at Orrick, Herrington & Sutcliffe LLP, Gabriele Mazzini, Fellow at MIT Connection Science and Architect of EU AI Act.

Then, join AI pioneer Andrew Ng as he breaks down how artificial intelligence is moving beyond the hype to deliver tangible business results.

In this exclusive conversation with Link Ventures’ John Werner at Davos 2025, Andrew explains how AI innovations are saving costs—from making ships 10% more fuel efficient to boosting profitability in pricing analytics and legal compliance.

Quantum For AI, AI For Quantum

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.

Deep Learning

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!

DeepSeek Rattles Tech Stocks, Raises Question About AI Dominance in US

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 $465 Billion DeepSeek Rout Is Largest in Market History

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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Q&A: Philosopher David Chalmers on ChatGPT, consciousness, and his days at WashU

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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