Robotics/AI – Lifeboat News: The Blog

May 14
2026

S02E05 Design Thinking: Enhancing Human Outcomes | Trey Simmons | Wired For Wonder

In this conversation, Lori Kirkland and Trey Simmons from Tamr, explore the transformative impact of AI on the workplace, emphasizing the importance of human-centric design and creativity. They discuss the acceleration of creative processes, the need for prioritization in business, and the shift in mindset required for organizations to thrive in an AI-driven world. The dialogue highlights the significance of collaboration, fluid thinking, and the evolving nature of business assumptions as key elements for future success. In this engaging conversation, Lori Kirkland and Trey Simmons explore essential human skills for the future, the mindset organizations need to adopt for the evolving workplace, and the profound nature of consciousness and reality. They discuss the impact of AI on our understanding of existence and the importance of fostering a culture of love and support in professional environments. The dialogue emphasizes the interconnectedness of humanity and the need for a shift in perspective to embrace change and innovation.

Connect with Trey via / treysimmons.

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May 14
2026

Human vs. Machine Consciousness | Imperial’s Murray Shanahan

An interview with Murray Shanahan on philosophy and AI consciousness.

For more on how you can get involved with Cosmos including roles we are hiring for & how to receive our grants, visit: https://johnathanbi.com/cosmos.

You can read the full transcript here: https://www.johnathanbi.com/p/transcript-for-interview-with-…ahan-on-ai.

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Tyler Cowen on AI, US-China, Jobs, and War: • AI’s New World Order: US-China, War, Job L…
Nick Bostrom on how to AGI-proof Your Life: • Focus on These AGI-Proof Areas | Nick Bostrom.
Michael Wooldridge on the Singularity and AI Hype: • Don’t Believe AI Hype, This is Where it’s…

Further Reading:
Professor Shanahan’s book on Consciousness: https://amzn.to/42rdsT0 (affiliate)

Timestamps:

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May 14
2026

Signal-folding design helps neuromorphic chip slash AI energy use

Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze large amounts of data and rapidly generate desired content or identify meaningful patterns. However, when running on existing hardware, such as smartphones, laptops and tablets, these systems typically consume a large amount of energy.

Over the past decade or so, electronics engineers have been increasingly working on alternative hardware systems that could run AI models more energy efficiently. Many of these systems are neuromorphic, meaning that they are inspired by the structure and functioning of the human brain.

Researchers at Huazhong University of Science and Technology and the Chinese University of Hong Kong recently introduced a new approach for designing neuromorphic computing hardware based on two-dimensional materials. Their proposed strategy, introduced in a paper published in Nature Electronics, was used to develop a chip based on the 2D semiconductor molybdenum disulfide (MoS₂) that can reliably run AI algorithms while consuming less power.