The firm investigated four distinct “sabotage” threat vectors for AI and determined that “minimal mitigations” were sufficient for current models.
Artificial intelligence firm Anthropic recently published new research identifying a set of potential “sabotage” threats to humanity posed by advanced AI models.
According to the company, the research focused on four specific ways a malicious AI model could trick a human into making a dangerous or harmful decision.
Source: Anthropic
The DeSci movement continues to gain steam among industry insiders.
The world of science has a problem with too much centralization and not enough incentivization, at least according to supporters of the decentralized science (DeSci) movement.
Among those supporters is Cardano co-founder Charles Hoskinson. The outspoken developer and CEO minced no words when he recently discussed the state of traditional scientific publishing, calling it “terribly broken.”
Charles Hoskinson claims DeSci can solve the peer review problem in a post on X.com. Source: Charles Hoskinson
AI is accelerating scientific breakthroughs and improving research outcomes. Here are eight projects harnessing its power to improve human life quality.
Sam Altman, co-founder and CEO of artificial intelligence firm OpenAI, released an essay on Sept. 23 proclaiming the arrival of the “Intelligence Age.”
In it, he claimed that humanity would see exponential advancement through artificial intelligence including “fixing the climate, establishing a space colony, and the discovery of all of physics – will eventually become commonplace.”
Many criticized his statements as the usual pie-in-the-sky ideas that have been coming out of Silicon Valley for years.
He also said it’ll solve all physics and usher in an era our grandparents couldn’t have imagined.
Sam Altman, co-founder and CEO of artificial intelligence firm OpenAI, published a cryptic blog post on Sept. 23, apparently celebrating that “deep learning worked” and claiming that humanity was on the precipice of an era of unimaginable prosperity.
The CEO also boasted that his company’s technology would be capable of creating more powerful versions of itself within a matter of decades that will accelerate humanity’s scientific progress “across the board.”
Altman announces the dawn of the “Intelligence Age” on X. Source: Sam Altman
The research focused on securing the machines against physical and cyber-attack while maintaining their decentralized learning capabilities.
A team of scientists in Belgium may have solved one of the biggest challenges in the field of AI using a blockchain-based, decentralized training method. While the research is still in its earliest stages, its potential implications could range from revolutionizing outer space exploration to posing an existential threat to humanity.
In a simulated environment, the researchers developed a way to coordinate learning between individual, autonomous AI agents. The team used blockchain technology to facilitate and secure the agents’ communications, thus creating a decentralized “swarm” of learning models.
The individual training results for each agent in the swarm were then used to develop a larger AI model. Because the data was handled via blockchain, this bigger system benefited from the swarm’s collective intelligence without accessing any of the individual agents’ data.
Scientists are using quantum algorithms to uncover new insights into how our brains learn and apply information.
Quantum computers are often referred to as a future technology that will give scientists and engineers a new tool with which to explore the deeper mysteries of the universe. But, based on a new study, they may end up making the whole species a little smarter.
A team of scientists in South Korea recently used a quantum computer to conduct research on how humans retain and retrieve information. This pioneering study could pave the way for new learning techniques to improve outcomes in fields such as science, mathematics, and finance.
There are numerous forms of quantum computing, though the industry remains in its infancy. Companies such as Google and IBM are heavily involved in developing what’s called “gate-based” quantum computers. These systems work in a somewhat similar fashion to modern digital circuits.
Scientists built a DNA computer capable of playing chess.
In the not-so-far future it may be possible to run entire computer networks inside of living cells thanks to a recent breakthrough in molecular computing from scientists in the US.
According to research published on Aug 22., a team of scientists at North Carolina State University and Johns Hopkins University have built a functional DNA computer.
As Cointelegraph previously reported, DNA storage has been around for a while. But this may be the world’s first functional molecular computer capable of conducting both storage and compute functions via DNA — instead of using electricity, like regular desktop computers and smartphones.
The technology could also help detect diseases such as cancer.
Artificial intelligence firm Osmo is working diligently to bring back the future we were promised in 1960 when Hans Laube introduced the world to “Smell-O-Vision.” Only this time, the goal is to improve the lives of humans everywhere by teaching computers how to interpret scent.
Osmo’s technology is a complex, multidisciplinary amalgamation of science and engineering at the cutting edge, but its purpose is simple. The company wants to build generative AI that can do for scents what OpenAI’s ChatGPT and Google’s Gemini can do for sounds and images.
Per the company’s website:
The organoids only live about 100 days, then, ostensibly, the AI dies.
Swiss technology firm FinalSpark recently launched a program that allows scientists to rent cloud access to “biocomputers” made out of human brain cells for a mere $500 a month.
The purpose of these biocomputers, according to FinalSpark, is to develop a highly efficient, low-energy solution to the ballooning costs associated with developing artificial intelligence models. The company says it could be as much as 100,000 times more efficient to use computers made of organic material to train AI than it is to use traditional silicon-based technology.
According to FinalSpark founder Fred Jordan, Neurospark is the only company to offer access to computers made out of clumps of human brian cells (called organoids). Their technology can be viewed live online.
The researchers based their ideas on “proof of personhood” technologies developed by the blockchain community.
Artificial intelligence researchers are worried that AI bots are eventually going to take over the internet and spread like a digital invasive species. Rather than approach the problem by attempting to limit the proliferation of bots and AI-generated content, one team decided to go in the opposite direction.
In a recently published preprint paper, dozens of researchers advocate for a system by which humans would need to have their humanity verified in-person by another human in order to obtain “personhood credentials”
The big idea appears to be the creation of a system wherein someone could prove they were human without having to disclose their identity or any further information. If that sounds familiar to those of you in the crypto community, it’s because the research is based on “proof of personhood” blockchain technologies.
