Evo is a large language model that is not trained on words but on the genomes of millions of microbes. It can accurately predict the effects of mutations.
Category: robotics/AI – Page 368
From Homo Sapiens to Holo Syntellectus: A Journey into the Cybernetic Singularity
Step Into the Future with The Cybernetic Singularity: The Syntellect Emergence 🎧 The groundbreaking third volume of The Cybernetic Theory of Mind series by Alex M Vikoulov is now available as an audiobook!
Ecstadelic Media Group releases a new non-fiction audiobook The Cybernetic Singularity: The Syntellect Emergence, in addition to a previously published Kindle eBook, part of The Cybernetic Theory of Mind series. Written by Alex M. Vikoulov; Narrated by Virtual Voice; Foreword by Antonin Tuynman, PhD; Format: Audible audiobook (Press Release, Burlingame, CA, USA, November 16, 2024 09.23 AM PST)
The Cybernetic Singularity: The Syntellect Emergence is a visionary exploration of humanity’s impending transition into a post-biological state of existence, where artificial intelligence, advanced cybernetics, and collective intelligence converge to form a unified Global Mind. As the third installment in The Cybernetic Theory of Mind series, this book delves into the transformative potential of AI and the emergence of hyperconnected “infomorphs” — substrate-independent minds transcending biological limitations. It examines the profound philosophical, technological, and existential implications of this evolutionary leap, which may redefine what it means to be human. The book also introduces key concepts like Cybernetic Immortality and Experiential Realism, suggesting how we might engineer a future of infinite creativity and bliss.
With the Syntellect Hypothesis as its foundation, The Cybernetic Singularity presents a roadmap to the ultimate phase transition of civilization — the awakening of a universal consciousness network capable of synthesizing knowledge, experience, and purpose at unimaginable scales. From the rise of transhumanism to the development of a planetary superorganism, the narrative connects cutting-edge scientific insights with metaphysical musings on the nature of reality. Opening with Norbert Wiener’s quote, “The world of the future will be an even more demanding struggle against the limitations of our intelligence,” the book invites readers to contemplate their role in this grand cosmic drama. Whether you are a technophile, philosopher, or futurist, this volume is an essential guide to understanding and embracing the dawn of the Syntellect Emergence.
Our brains are vector databases — here’s why that’s helpful when using AI
The parallels between human memory and vector databases go deeper than simple retrieval. Both excel at compression, reducing complex information into manageable patterns. Both organize information hierarchically, from specific instances to general concepts. And both excel at finding similarities and patterns that might not be obvious at first glance.
This isn’t just about professional efficiency — it’s about preparing for a fundamental shift in how we interact with information and technology. Just as literacy transformed human society, these evolved communication skills will be essential for full participation in the AI-augmented economy. But unlike previous technological revolutions that sometimes replaced human capabilities, this one is about enhancement. Vector databases and AI systems, no matter how advanced, lack the uniquely human qualities of creativity, intuition, and emotional intelligence.
The future belongs to those who understand how to think and communicate in vectors — not to replace human thinking, but to enhance it. Just as vector databases combine precise mathematical representation with intuitive pattern matching, successful professionals will blend human creativity with AI’s analytical power. This isn’t about competing with AI or simply learning new tools — it’s about evolving our fundamental communication skills to work in harmony with these new cognitive technologies.
A “Chemical ChatGPT” for New Medications
Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model — a kind of ChatGPT for molecules. Following a training phase, the AI was able to exactly reproduce the chemical structures of compounds with known dual-target activity that may be particularly effective medications. The study has now been published in Cell Reports Physical Science.
Anyone who wants to delight their granny with a poem on her 90th birthday doesn’t need to be a poet nowadays: A short prompt in ChatGPT is all it takes, and within a few seconds the AI spits out a long list of words that rhyme with the birthday girl’s name. It can even produce a sonnet to go with it if you like.
Researchers at the University of Bonn have implemented a similar model in their study — known as a chemical language model. This does not, however, produce rhymes. Instead, the AI displays the structural formulas of chemical compounds that may have a particularly desirable property: They are able to bind to two different target proteins. In the organism, this means, for example, they can inhibit two enzymes at once.
Texas A&M looks to the moon, Mars with $200 million space center
Texas A&M University made a giant leap toward bolstering its contributions to space exploration on Friday, when university officials marked a groundbreaking ceremony for its $200 million space center in Houston. Work will begin in January on the Texas A&M University Space Institute, which is designed to support efforts in aeronauts, robotics and space engineering.
“As space exploration expands, there will be a growing demand for highly skilled engineers, scientists, and professionals. Texas A&M is ready,” said Texas A&M University System Chancellor John Sharp in a statement. “With this new facility, A&M will create workforce development opportunities in space-related fields.”
On lame-duck AI bill, Congress shouldn’t push too far
Artificial intelligence holds the potential to bring a commercial and economic rebirth for the United States and its allies. Yet the U.S. Congress is getting skittish. Its leaders are reportedly negotiating a lame-duck bill to regulate the AI industry.
As officials push and prod on the new technology, they should exercise caution.
A new system of logic could boost critical thinking and AI
The rigid structures of language we once clung to with certainty are cracking. Take gender, nationality or religion: these concepts no longer sit comfortably in the stiff linguistic boxes of the last century. Simultaneously, the rise of AI presses upon us the need to understand how words relate to meaning and reasoning.
A global group of philosophers, mathematicians and computer scientists have come up with a new understanding of logic that addresses these concerns, dubbed “inferentialism”
One standard intuition of logic, dating back at least to Aristotle, is that a logical consequence ought to hold by virtue of the content of the propositions involved, not simply by virtue of being “true” or “false”. Recently, the Swedish logician Dag Prawitz observed that, perhaps surprisingly, the traditional treatment of logic entirely fails to capture this intuition.