Lifeboat Foundation

Accumulation of senescent cells drives aging and age-related diseases. Senolytics, which selectively kill senescent cells, offer a promising approach for treating many age-related diseases. Using a senescent cell-based phenotypic drug discovery approach that combines drug screening and drug design, we developed two novel flavonoid senolytics, SR29384 and SR31133, derived from the senolytic fisetin. These compounds demonstrated enhanced senolytic activities, effectively eliminating multiple senescent cell types, reducing tissue senescence in vivo, and extending healthspan in a mouse model of accelerated aging. Mechanistic studies utilizing RNA-Seq, machine learning, network pharmacology, and computational simulation suggest that these novel flavonoid senolytics target PARP1, BCL-xL, and CDK2 to induce selective senescent cell death. This phenotype-based discovery of novel flavonoid senolytics, coupled with mechanistic insights, represents a key advancement in developing next-generation senolyticss with potential clinical applications in treating aging and age-related diseases.

LJN and PDR are cofounders of Itasca Therapeutics, developing senotherapeutics for aging and age-related diseases. LJZ, LJN, PDR and the University of Minnesota have filed a provisional patent on the application of flavonoid analogs, including SR29384 and SR31133, as a strategy to treat age-related diseases.

Joscha Bach, a prominent cognitive scientist and AI researcher, explores the essence of artificial intelligence and consciousness. Bach elaborates on the history and philosophical underpinnings of AI, tracing its roots from Aristotle to contemporary deep learning. He discusses the current challenges and limitations in machine learning, particularly in achieving human-like understanding and consciousness.

Bach raises critical questions about the alignment of AI with human values and the feasibility of building systems smarter and more ethical than humans. He delves into the nature of consciousness, proposing that it is not merely a computational process but a fundamental aspect of how minds perceive and interact with the world. Bach also addresses the potential and risks of advanced AI, emphasizing the need for ethical considerations and a deeper understanding of consciousness to guide future developments.

Continue reading “Machine Consciousness | Joscha Bach” »

The 3 Body Problem Explored: Cosmic Sociology, Longtermism & Existential Risk — round table discussion with three great minds: Robin Hanson, Anders Sandberg and Joscha Bach — moderated by Adam Ford (SciFuture) and James Hughes (IEET).

Some of the items discussed:
- How can narratives that keep people engaged avoid falling short of being realistic?
- In what ways is AI superintelligence kept of stage to allow a narrative that is familiar and easier to make sense of?
- Differences in moral perspectives — moral realism, existentialism and anti-realism.
- Will values of advanced civilisations converge to a small number of possibilities, or will they vary greatly?
- How much will competition be the dominant dynamic in the future, compared to co-ordination?
- In a competitive dynamic, will defense or offense be the most dominant strategy?

Continue reading “The 3 Body Problem Explored — Robin Hanson, Anders Sandberg & Joscha Bach” »

Joscha Bach is a German artificial intelligence researcher and cognitive scientist who works on on cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems. We got connected over the hard problem of consciousness — namely, why do people seem to think it’s so hard? During our conversation we deal with the foundational questions of the technological future being built in Silicon Valley, the fever dream of machine intelligence, and try to understand why people seem to think that there’s even such a thing as the hard problem of consciousness in the first place.

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Continue reading “Is There Really a Hard Problem of Consciousness? — Joscha Bach, Artificial Intelligence Researcher” »

All the Apple Intelligence features.

An estimated one in five Americans live with chronic pain and current treatment options leave much to be desired. Feixiong Cheng, Ph.D., Director of Cleveland Clinic’s Genome Center, and IBM are using artificial intelligence (AI) for drug discovery in advanced pain management. The team’s deep-learning framework identified multiple gut microbiome-derived metabolites and FDA-approved drugs that can be repurposed to select non-addictive, non-opioid options to treat chronic pain.

The findings, published in Cell Press, represent one of many ways the organizations’ Discovery Accelerator partnership is helping to advance research in healthcare and life sciences.

Treating chronic pain with opioids is still a challenge due to the risk of severe side effects and dependency, says co-first author Yunguang Qiu, Ph.D., a postdoctoral fellow in Dr. Cheng’s lab whose research program focuses on developing therapeutics for nervous system disorders. Recent evidence has shown that drugging a specific subset of pain receptors in a protein class called G protein-coupled receptors (GPCRs) can provide non-addictive, non-opioid pain relief. The question is how to target those receptors, Dr. Qiu explains.

A new photonic processor efficiently solves complex NP-complete problems using light, offering faster computation and scalability for future applications in optical neural networks and quantum computing.

As technology continues to evolve, the limitations of traditional electronic computers are becoming more evident, particularly when addressing highly complex computational problems. NP-complete problems, which grow exponentially in difficulty as their size increases, are among the most challenging in computer science. These issues affect a wide range of fields, from biomedicine to transportation and manufacturing. To find more efficient solutions, researchers are turning to alternative computing methods, with optical computing showing significant promise.

Breakthrough in Photonic Processor Development.

Michael Levin is a Distinguished Professor in the Biology department at Tufts University and associate faculty at the Wyss Institute for Bioinspired Engineering at Harvard University. @drmichaellevin holds the Vannevar Bush endowed Chair and serves as director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology. Prior to college, Michael Levin worked as a software engineer and independent contractor in the field of scientific computing. He attended Tufts University, interested in artificial intelligence and unconventional computation. To explore the algorithms by which the biological world implemented complex adaptive behavior, he got dual B.S. degrees, in CS and in Biology and then received a PhD from Harvard University. He did post-doctoral training at Harvard Medical School, where he began to uncover a new bioelectric language by which cells coordinate their activity during embryogenesis. His independent laboratory develops new molecular-genetic and conceptual tools to probe large-scale information processing in regeneration, embryogenesis, and cancer suppression.

TIMESTAMPS:
0:00 — Introduction.
1:41 — Creating High-level General Intelligences.
7:00 — Ethical implications of Diverse Intelligence beyond AI & LLMs.
10:30 — Solving the Fundamental Paradox that faces all Species.
15:00 — Evolution creates Problem Solving Agents & the Self is a Dynamical Construct.
23:00 — Mike on Stephen Grossberg.
26:20 — A Formal Definition of Diverse Intelligence (DI)
30:50 — Intimate relationships with AI? Importance of Cognitive Light Cones.
38:00 — Cyborgs, hybrids, chimeras, & a new concept called “Synthbiosis“
45:51 — Importance of the symbiotic relationship between Science & Philosophy.
53:00 — The Space of Possible Minds.
58:30 — Is Mike Playing God?
1:02:45 — A path forward: through the ethics filter for civilization.
1:09:00 — Mike on Daniel Dennett (RIP)
1:14:02 — An Ethical Synthbiosis that goes beyond “are you real or faking it“
1:25:47 — Conclusion.

Continue reading “Michael Levin: What is Synthbiosis? Diverse Intelligence Beyond AI & The Space of Possible Minds” »

The world of personal AI assistants is crowded. No doubt, you’ve probably seen or heard a cacophony of complaints around the recent launches of AI-powered gadgets that are meant to act as personal assistants, while minimizing use of your smartphone. We’ve seen the reviewers trash the Humane AI Pin, and the Teenage Engineering-designed, Rabbit R1.