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On the day of the ChatGPT-4o announcement, Sam Altman sat down to share behind-the-scenes details of the launch and offer his predictions for the future of AI. Altman delves into OpenAI’s vision, discusses the timeline for achieving AGI, and explores the societal impact of humanoid robots. He also expresses his excitement and concerns about AI personal assistants, highlights the biggest opportunities and risks in the AI landscape today, and much more.

(00:00) Intro.
(00:50) The Personal Impact of Leading OpenAI
(01:44) Unveiling Multimodal AI: A Leap in Technology.
(02:47) The Surprising Use Cases and Benefits of Multimodal AI
(03:23) Behind the Scenes: Making Multimodal AI Possible.
(08:36) Envisioning the Future of AI in Communication and Creativity.
(10:21) The Business of AI: Monetization, Open Source, and Future Directions.
(16:42) AI’s Role in Shaping Future Jobs and Experiences.
(20:29) Debunking AGI: A Continuous Journey Towards Advanced AI
(24:04) Exploring the Pace of Scientific and Technological Progress.
(24:18) The Importance of Interpretability in AI
(25:11) Navigating AI Ethics and Regulation.
(27:26) The Safety Paradigm in AI and Beyond.
(28:55) Personal Reflections and the Impact of AI on Society.
(29:11) The Future of AI: Fast Takeoff Scenarios and Societal Changes.
(30:59) Navigating Personal and Professional Challenges.
(40:21) The Role of AI in Creative and Personal Identity.
(43:09) Educational System Adaptations for the AI Era.
(44:30) Contemplating the Future with Advanced AI

Executive Producer: Rashad Assir.
Producer: Leah Clapper.
Mixing and editing: Justin Hrabovsky.

Check out Unsupervised Learning, Redpoint’s AI Podcast: / @redpointai.

Imagine having telepathic conversations with loved ones, instantaneously accessing superhuman computational power, playing back memories and dreams, or immersing yourself and every sense you possess into a virtual entertainment experience. In the distant future, if brain-computer interfaces (BCIs) are successful at reading and writing information to the brain, and if humans adapt to the technology, we could experience some pretty amazing scenarios. But, there are many outstanding questions for how we could ensure a bright future: Who will own the data generated by our brains? Will brain data be bought and sold by data brokers like other personal information today? Will people be forced to use certain BCIs that surveil their brain activity (for example, to make sure you’re paying attention at work and school)? Will BCIs put peoples’ brains at risk of being hacked? As with all new technology, more of these philosophical questions will need to be investigated and answered before there is widespread adoption and use of BCIs in the future.

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Who owns that data?

WASHINGTON — Redwire Space is doubling down on interest in the emerging market for very low Earth orbit (VLEO) satellites by offering a second spacecraft platform from its European subsidiary.

In a May 9 earnings call, Redwire announced a VLEO satellite platform called Phantom, developed by the company’s European business unit in Belgium. Phantom is being developed for the European Space Agency’s Skimsat mission, on which Redwire is partnered with Thales Alenia Space, and is now being offered for European and international customers.

Phantom joins SabreSat, a VLEO satellite Redwire announced in its previous earnings call in March that is being developed by the company in the United States. The two designs use different technologies.

Illinois may be on the verge of securing the largest technology project in its history—what is being labeled a “$20 billion, 150-acre quantum computing campus,” potentially anchored by Silicon Valley startup PsiQuantum, according to Crain’s Chicago Business. PsiQuantum, hot off an announcement that its receiving $600 million to build a manufacturing site in Australia, is reportedly considering two Chicago-area locations for the project, the business journal reports.

The proposed sites, the former U.S. Steel plant on the South Side and the former Texaco refinery in Lockport, are both under final review, with a decision expected soon. This initiative is part of a broader vision by Governor J.B. Pritzker’s administration, which pundits are referring to a modern-day Manhattan Project, to position Illinois as a leader quantum computing.

Quantum computing leverages the principles of quantum mechanics to process information much faster than classical machines for certain computational problems. Quantum devices could potentially transform everything from cancer research to climate modeling. PsiQuantum aims to use a photonic quantum approach to develop a fault-tolerant quantum computer that could be commercially viable.

Tesla’s heavy investment in AI and autonomy, potential for full self-driving capability, and innovative business model have the potential to revolutionize multiple industries and generate massive revenue through software subscriptions and other ventures.

Questions to inspire discussion.

What is Tesla’s focus on AI and autonomy?
—Tesla is heavily investing in AI and autonomy, with plans for a fleet of autonomous vehicles and humanoid robots generating massive revenue through software subscriptions.

An American debt collection agency suffered a data breach in late February, losing sensitive data belonging to almost two million people.

Earlier this week, Financial Business and Consumer Solutions (FBCS) sent a data breach notification letter to affected customers, explaining that unauthorized third parties accessed its systems on February 14, 2024, and remained there until being spotted, and ousted, on February 26.

Research published in Nature demonstrates high qubit control fidelity and uniformity in single-electron control.

SANTA CLARA, Calif., May 1, 2024 —(BUSINESS WIRE)—Today, Nature published an Intel research paper, “Probing single electrons across 300-mm spin qubit wafers,” demonstrating state-of-the-art uniformity, fidelity and measurement statistics of spin qubits. The industry-leading research opens the door for the mass production and continued scaling of silicon-based quantum processors, all of which are requirements for building a fault-tolerant quantum computer.

Quantum hardware researchers from Intel developed a 300-millimeter cryogenic probing process to collect high-volume data on the performance of spin qubit devices across whole wafers using complementary metal oxide semiconductor (CMOS) manufacturing techniques.