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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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Silicon Valley-based robotics startup Figure AI is in talks to raise a massive $1.5 billion round at a $39.5 billion valuation, Bloomberg reports.

That’s a whopping 15 times higher than Figure’s $2.6 billion post-money valuation for its $675 million Series B last year. Figure’s current round is expected to be led by Align Ventures and Parkway Venture Capital, Bloomberg reported.

Figure builds humanoid robots for commercial and residential purposes. Humanoid robots are all the rage thanks to the AI boom: Austin-based Apptronik just raised $350 million while Meta is reportedly looking to get into robotics, too.

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The highly pathogenic avian influenza H5N1 is an emerging and unexpected threat to many wild animal species, which has implications for ecological processes, ecosystem services and conservation of threatened species. International collaboration and information-sharing is essential for surveillance, early diagnosis and the provision of financial and technical instruments to enable worldwide actions.

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Send us a text (https://www.buzzsprout.com/twilio/text_messages/2405788/open_sms)

Join Heliox for a fascinating deep dive into the mind of Keyu Jin, one of the most insightful voices on China’s economic transformation. In this episode, we explore Jin’s unique perspective as both an academic heavyweight and seasoned financial advisor, examining how she bridges Eastern and Western viewpoints to decode China’s remarkable economic journey.

Learn about the innovative “mayor economy” concept that helped drive China’s unprecedented growth, and discover how cultural values shape economic decisions in unexpected ways. We unpack Jin’s analysis of China’s technological leap from manufacturing hub to digital innovator, and explore the fascinating “six wallets” phenomenon in Chinese society.

The episode also delves into China’s evolving role in the global financial system, examining the future of the RMB and digital currency innovations. Through Jin’s lens, we gain a nuanced understanding of China’s economic challenges and opportunities, moving beyond simplistic narratives to grasp the complex interplay of state intervention, cultural values, and generational shifts shaping the world’s second-largest economy.

Continue reading “The New China Playbook by Keyu Jin” | >

In today’s AI news, the OpenAI commercial, developed under new CMO Kate Rouch, deliberately avoids mentioning AGI or superintelligence, which are at the core of OpenAI’s mission. “We want the message to feel relevant to the audience that is watching the Super Bowl, which includes tens of millions of people who have no familiarity with AI,” Rouch said.

S $254-billion software industry by 45% over the next five years, according to a survey by consulting firm EY India. This boost will come through the dual effect of the IT industry integrating elements of GenAI and client projects move from concept to production. + Then, the French government plans Monday to pledge a gigawatt of nuclear power for a new artificial-intelligence computing project expected to cost tens of billions of dollars. France is making a bid to catch up in the artificial intelligence race by leaning on one of its strengths: plentiful nuclear power.

And, Canadian investment firm Brookfield plans to invest €20 billion by 2030 in artificial intelligence projects in France (around $20.7 billion at current exchange rates), according to a report from La Tribune Dimanche confirmed by news agency AFP. The majority of the sum will be used to build AI-focused data centers.

In videos, we join Adrian Locher, Merantix Capital, Wei Li, BlackRock, Scott Sandell, NEA, Rob Heyvaert, Motive Partners, and Guru Chahal, Lightspeed Venture Partners, discussing how to identify the next category-defining opportunities in AI across venture capital, private equity, and beyond?

Is what happens when millions of people get access to a transformational general purpose technology such as artificial intelligence, enabling superpowers that benefit both individuals and society.” + Then, check out the cutting-edge world of “hackbots”—AI agents designed to autonomously hack websites. Joseph Thacker, Principal AI Engineer at AppOmni as well as a security researcher who specializes in application security and AI, discusses the basics of hackbots, the current landscape of the technology, and its potential future implications.

Continue reading “Inside OpenAI’s Million Super Bowl Ad” | >

Risk assessment and fraud detection can be enhanced with its usage in the financial sector.

A UK-based firm has launched the world’s first quantum large language model (QLLM). Developed by SECQAI, the QLLM is claimed to be capable of shaping the future of AI.

The company integrated quantum computing into traditional AI models to improve efficiency and problem-solving.

According to a report, the development involved creating an in-house quantum simulator with gradient-based learning and a quantum attention mechanism.

Continue reading “World’s first quantum large language model can shape future of AI” | >

That statement, now signed by twice as many concerned citizens, warned about the risk of human extinction from AI, which was perhaps a bit of an overreach, because … well, extinction? Come on! That’s just a movie with Arnold Schwarzenegger.

What they should have warned about was jobs — the redundancy and destitution of most of humanity, unless there’s some kind of universal income funded by taxes on robots.

What no-one talks about, as the AI revolution unfolds in stock market hype and scientific gung-ho, is what they’re all really trying to do.

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In this video, Dr. Ben Goertzel, CEO of SingularityNET, TrueAGI and the Artificial Superintelligence Alliance (ASI Alliance), analyzes DeepSeek LLM as an efficiency advancement rather than an AGI breakthrough. The model’s open-source implementation and technical architecture (mixture of experts and multi-token training) improve accessibility while maintaining performance. This development demonstrates the continued democratization of AI capabilities and may redirect industry focus toward alternative computing architectures and decentralized systems.

0:00 Intro.
00:33 Initial Thoughts on DeepSeek.
01:25 Efficiency Gains and Their Implications.
02:58 Technological Singularity and Rapid Advances.
04:07 DeepSeek’s Underlying Technology.
07:27 Open Source Approach and Its Benefits.
09:58 China’s Role in AI and Open Source.
12:20 Broader Implications for AI and AGI
15:42 Conclusion: The Path to Technological Singularity.

#AGI #Deepseek #AI
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SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive, and beneficial Artificial General Intelligence (AGI). An AGI is not dependent on any central entity, is open to anyone, and is not restricted to the narrow goals of a single corporation or even a single country.

Continue reading “Ben Goertzel on DeepSeek And The Path To AGI” | >

In today’s AI news, Google launched its much-anticipated new flagship AI model, Gemini 2.0 Pro Experimental, on Wednesday. The announcement was part of a series of other AI model releases. The company is also making its reasoning model, Gemini 2.0 Flash Thinking, available in the Gemini app.

In other advancements, LinkedIn is testing a new job-hunting tool that uses a custom large language model to comb through huge quantities of data to help people find prospective roles. The company believes that artificial intelligence will help users unearth new roles they might have missed in the typical search process.

S Deep Research feature, which can autonomously browse the web and create research reports. ‘ + s up from hitting $50 million ARR, or the yearly value of last month s case for why they are the best positioned to take over TikTok And, in this episode, a16z Partner Marc Andrusko chats with Mastercard’s Chief AI and Data Officer Greg Ulrich about Mastercard’s long history of using AI, the opportunities (and potential risks) associated with integrating generative AI into fraud detection, determining what tech to employ based on use cases, and the best advice he’s ever gotten.

Then, power your AI transformation with an insightful keynote from Scott Guthrie, Executive Vice President, Cloud + AI Group at Microsoft, and other industry experts. Watch this keynote presentation from NYC stop on Microsoft’s AI Tour.

We close out with this insightful discussion with Malcolm Gladwell and Ric Lewis, SVP of Infrastructure at IBM. Learn how hardware capabilities enable the matrix math behind large language models and how AI is transforming industries—from banking to your local coffee shop.

Continue reading “Google Launches Gemini 2.0 Pro LLM” | >