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“The next wave of AI will be able to augment people to become superhuman. Solutions will be at the ready for nearly all problems facing humanity.” ~Alex Bates.

Habits2Goals presents a powerful interview with Alex Bates, a phenomenal entrepreneur, inventor and bestselling author of Augmented Mind: AI Superhumans and the Next Economic Revolution.

When Alex was growing up in Portland, battling for computer time with his siblings, he developed an obsession with the emerging Internet and artificial neural networks.

Alex, fascinated by entrepreneurship, took his interest in AI and machine learning and in 2006 founded Mtelligence to harness the deluge of sensor data in the industrial IoT with the mission of creating a “world that doesn’t break down.”

After spending a decade on the front lines of the AI revolution, Alex discovered the one key ingredient that was missing from mainstream AI research — humans!

His new book explains how augmenting humans, combining human intuition and artificial intelligence, will herald an unprecedented era of productivity and financial success.

Exponential Medicine is a unique and intensive four-day experience that gathers world-class faculty, innovators and organizations from across the biomedical and technology spectrum to explore and leverage the convergence of fast moving technologies in the reinvention and future of health and medicine.

http://exponentialmedicine.com

Quantum computers hope to excel at solving problems that are too large, complex, or cumbersome for even the most powerful supercomputers, but many hurdles remain before they can be reliably put to commercial use. Here, we share an update on PsiQuantum’s approach, and recent progress towards useful, large-scale machines.

PsiQuantum co-founder \& Chief Scientific Officer Pete Shadbolt presents at the 2024 MIT EmTech conference in Cambridge, MA.

How do we actually create and manipulate qubits, essential for realizing quantum computation? Chief Scientist of Hardware Technology Development at Quantinuum, Patty Lee, joins Brian Greene to discuss various quantum strategies, their achievements to date and pathways forward.

This program is part of the Big Ideas series, supported by the John Templeton Foundation.

Participant: Patty Lee.
Moderator: Brian Greene.

00:00 — Introduction.
01:51 — Participant Introduction.
02:44 — Approaches To Quantum Computing.
07:19 — The Trapped Ion Approach In Practice.
22:58 — Obstacles In Quantum Computing.
35:14 — The Future Of Quantum Computing.
40:10 — Credits.

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In this episode of the Eye on AI podcast, we dive into the world of Artificial General Intelligence (AGI) with Ben Goertzel, CEO of SingularityNET and a leading pioneer in AGI development.

Ben shares his vision for building machines that go beyond task-specific capabilities to achieve true, human-like intelligence. He explores how AGI could reshape society, from revolutionizing industries to redefining creativity, learning, and autonomous decision-making.

Throughout the conversation, Ben discusses his unique approach to AGI, which combines decentralized AI systems and blockchain technology to create open, scalable, and ethically aligned AI networks. He explains how his work with SingularityNET aims to democratize AI, making AGI development transparent and accessible while mitigating risks associated with centralized control.

Ben also delves into the philosophical and ethical questions surrounding AGI, offering insights into consciousness, the role of empathy, and the potential for building machines that not only think but also align with humanity’s best values. He shares his thoughts on how decentralized AGI can avoid the narrow, profit-driven goals of traditional AI and instead evolve in ways that benefit society as a whole.

Cognitive models of reading assume that speech production occurs after visual and phonological processing of written words. This traditional view is at odds with more recent magnetoencephalography studies showing that the left posterior inferior frontal cortex (pIFC) classically associated with spoken production responds to print at 100–150 ms after word-onset, almost simultaneously with posterior brain regions for visual and phonological processing. Yet the theoretical significance of this fast neural response remains open to date. We used transcranial magnetic stimulation (TMS) to investigate how the left pIFC contributes to the early stage of reading. In Experiment 1, 23 adult participants (14 females) performed three different tasks about written words (oral reading, semantic judgment and perceptual judgment) while single-pulse TMS was delivered to the left pIFC, fusiform gyrus or supramarginal gyrus at different time points (50 to 200 ms after word-onset). A robust double dissociation was found between tasks and stimulation sites — oral reading, but not other control tasks, was disrupted only when TMS was delivered to pIFC at 100 ms. This task-specific impact of pIFC stimulation was further corroborated in Experiment 2, which revealed another double dissociation between oral reading and picture naming. These results demonstrate that the left pIFC specifically and causally mediates rapid computation of speech motor codes at the earliest stage of reading and suggest that this fast sublexical neural pathway for pronunciation, although seemingly dormant, is fully functioning in literate adults. Our results further suggest that these left-hemisphere systems for reading overall act faster than known previously.

Significance Statement Recent neuroimaging data suggest that left posterior inferior frontal cortex, classically associated with spoken production, responds to print simultaneously with left fusiform and supramarginal gyri, each responsible for visual and phonological processing, contrary to traditional serial cascade models of reading. While the region is now known to mediate different aspects of cognitive processing, the functional significance of this fast neural response remains unclear. Using transcranial magnetic stimulation, we show that early inferior frontal activation plays a specific and causal role in speeded oral reading at 100 ms after word-onset. This fast sublexical neural pathway for pronunciation, although seemingly dormant, is fully functioning in literate adults. We also propose that the left-hemisphere reading systems act differently and faster than known previously.