Lifeboat Foundation

Singularity net Ben goerzel discusses artificial and general intelligence and cosmist intelligence.

Dr. Ben Goertzel discusses artificial general, non-human and cosmist intelligences with Ed Keller at The Overview Effect Lectures, which is a series positioned as a survey of some of the key operational themes critical to post planetary and universal design.

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At the end of the day it just got too expensive to make games, and too risky to release bad ones. Not to mention the political nonsense. AI is now in the wings poised for a take over game development. Will of mostly taken over around 2030. And, it will quickly be back to the old days.

There’s one topic that’s stayed on my mind since the Game Developers Conference in March: generative AI. This year’s GDC wasn’t flooded with announcements that AI is being added to every game — unlike how the technology’s been touted in connection with phones and computers. But artificial intelligence definitely made a splash.

Enthusiasm for generative AI was uneven. Some developers were excited about its possibilities, while others were concerned over its potential for abuse in an industry with shattered morale about jobs and careers.

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Almost 2,000 hacked WordPress sites now display fake NFT and discount pop-ups to trick visitors into connecting their wallets to crypto drainers that automatically steal funds.

Website security firm Sucuri disclosed last month that hackers had compromised approximately 1,000 WordPress sites to promote crypto drainers, which they promoted via malvertising and YouTube videos.

It is believed that the threat actors were unsuccessful with their original campaign and began deploying news scripts on the compromised sites to turn visitors’ web browsers into tools for brute-forcing the admin passwords at other sites.

The advent of AI has ushered in transformative advancements across countless industries. Yet for all its benefits, this technology also has a downside. One of the major challenges AI brings is the amount of energy required to power the GPUs that train large-scale AI models. Computing hardware needs significant maintenance and upkeep, as well as uninterruptible power supplies and cooling fans.

One study found that training some popular AI models can produce about 626,000 pounds of carbon dioxide, the rough equivalent of 300 cross-country flights in the U.S. A single data center can require enough electricity to power 50,000 homes. If this energy comes from fossil fuels, that can mean a huge carbon footprint. Already the carbon footprint of the cloud as a whole has surpassed that of the airline industry.

As the founder of an AI-driven company in the blockchain and cryptocurrency industry, I am acutely aware of the environmental impact of our business. Here are a few ways we are trying to reduce that effect.

This video explores 20 emerging technologies and their future. Watch this next video about the 10 stages of AI: • The 10 Stages of Artificial Intelligence.
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SingularityNET’s community leaders reflect back on last year’s progress, ecosystem updates, as well as the massive push towards building beneficial AGI in 2024 and beyond.

Register for our BGI Summit today by visiting: https://bgi24.ai.

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Cryptocurrency is usually “mined” through the blockchain by asking a computer to perform a complicated mathematical problem in exchange for tokens of cryptocurrency. But in research appearing in the journal Chem a team of chemists has repurposed this process, asking computers to instead generate the largest network ever created of chemical reactions which may have given rise to prebiotic molecules on early Earth.

This work indicates that at least some primitive forms of metabolism might have emerged without the involvement of enzymes, and it shows the potential to use blockchain to solve problems outside the financial sector that would otherwise require the use of expensive, hard to access supercomputers.

“At this point we can say we exhaustively looked for every possible combination of chemical reactivity that scientists believe to had been operative on primitive Earth,” says senior author Bartosz A. Grzybowski of the Korea Institute for Basic Science and the Polish Academy of Sciences.

A.I. for longevity and long lived flies.

Kennedy Schaal presents “Using Advanced A.I. and Blockchain Technology to Targey Aging” at the Longevity+DeSci Summit NYC (EARD 2023) hosted by Lifespan.io. Summary ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ Kennedy Schaal is the founder and CEO of Rejuve Biotech, an AI-driven therapeutics discovery company solving the problems for longevity and age-associated diseases. By using advanced Artificial Intelligence to combine data from the Methuselah Flies with data from people, Rejuve. Bio can shorten the drug discovery pipeline and rapidly develop novel therapeutics to help people live longer. They have two high-impact and novel data sources, as well as unique artificial intelligence technology. First and foremost, they are the sole owner of data from the Methuselah Flies (fruit flies) that have been bred for longevity. Second, because flies have a shorter life cycle, they can be tested for longevity much faster than other animal models. Rejuve Biotech has the unique ability to test multiple interventions and treatment combinations over the course of a fruit fly’s life and in various aspects of its life (e.g., mating, disease resistance). In addition, they also have quick access to Crowdsourced Human Data collected by a partner company, Rejuve Network. Kennedy Schaal is an accomplished biotechnology executive with a strong leadership track record in applied genomic research and Artificial Intelligence at the frontier of longevity science. She is also a multi-published author on the science of longevity and applied genomics trials. Kennedy is also a world-leading expert on genomic selection and breeding for innovative Drosophila Methuselah Flies, which together with applied Artificial Intelligence solve many of today’s pain points in longevity research, with the potential for massive impact on the health and lifespan of people across the planet. Experienced Laboratory Director and Chief Biologist with a demonstrated history of working in the biotechnology industry. Strong research professional skilled in evolutionary biology, genetics, and the study of aging-related diseases.

Manolis Kellis, an accomplished Computer Science Professor at MIT and member of the Broad Institute, is a trailblazer in computational biology. Renowned for leading the MIT Computational Biology Group, his impactful research spans disease genetics, epigenomics, and gene circuitry. With numerous cited publications and leadership in transformative genomics projects, Kellis has garnered prestigious accolades, including the PECASE and Sloan Fellowship, shaping the field with his international perspective from Greece and France to the US.

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Continue reading “Curing Disease With Genetics And AI” »