In the last ten years, AI systems have developed at rapid speed. From the breakthrough of besting a legendary player at the complex game Go in 2016, AI is now able to recognize images and speech better than humans, and pass tests including business school exams and Amazon coding interview questions.
Last week, during a U.S. Senate Judiciary Committee hearing about regulating AI, Senator Richard Blumenthal of Connecticut described the reaction of his constituents to recent advances in AI. “The word that has been used repeatedly is scary.”
The Subcommittee on Privacy, Technology, and the Law overseeing the meeting heard testimonies from three expert witnesses, who stressed the pace of progress in AI. One of those witnesses, Dario Amodei, CEO of prominent AI company Anthropic, said that “the single most important thing to understand about AI is how fast it is moving.”
Peter Diamandis is best known as the founder of the XPrize Foundation, which offers big cash prizes as an incentive for tech solutions to big problems. The entrepreneur and investor is also co-founder of the Singularity University, a Silicon Valley-based nonprofit offering education in futurology. His new book, The Future Is Faster Than You Think, argues that the already rapid pace of technological innovation is about to get a whole lot quicker.
Do you think people are worried about where technology is going to take us? I can palpably feel how fast things are changing and that the rate of change is accelerating, and I have picked up a growing amount of fear coming from people who don’t understand where the world is going. And that is not good when you’re trying to solve problems. This book is about giving people a roadmap for where things are going over the next decade so they have less fear and more anticipation. Because, yes, in the next 10 years, we’re going to reinvent every industry on this planet, but the change is one that is for the benefit of masses, whether it’s in longevity or food or banking.
So with that old computer science adage in mind, what the heck is happening with Google’s AI-driven Search Generative Experience (SGE)? Not only has it been caught spitting out completely false information, but in another blow to the platform, people have now discovered it’s been generating results that are downright evil.
Case in point, noted SEO expert Lily Ray discovered that the experimental feature will literally defend human slavery, listing economic reasons why the abhorrent practice was good, actually. One pro the bot listed? That enslaved people learned useful skills during bondage — which sounds suspiciously similar to Florida’s reprehensible new educational standards.
In this video i will show everyone the Theoretical & Practical side of understanding and learning Reverse-Engineering, to modify Machine-Code/Code overall in the Memory inside Binary Software Files on Systems, and also the Fundamentals about the System Architechture x64/x32-x86 Bit, as how it works in the smallest of Bits/Bytes form on the Memory-Layout Architechture. I will be showing a variety of Techniques like Cracking Games, Manipulating basic “Hello World” compiled C++ code Binary, and overall i will show different kind of Debugging/Reverse-Engineering Techniques on the Tool x64DBG. - Educational Purposes Only.
If the Video was helpful and useful for learning Reverse-Engineering in a sense to understand Problematic Bugs/Vulnerabilities or Code in a Binary, subscribe for more videos!. Thanks.
The era of mainframe computers and directly programming machines with switches is long past, but plenty of us look back on that era with a certain nostalgia. Getting that close to the hardware and knowing precisely what’s going on is becoming a little bit of a lost art. That’s why [Phil] took it upon himself to build this homage to the mainframe computer of the 70s, which all but disappeared when PCs and microcontrollers took over the scene decades ago.
The machine, known as PlasMa, is not a recreation of any specific computer but instead looks to recreate the feel of computers of this era in a more manageable size. [Phil] built the entire machine from scratch, and it can be programmed directly using toggle switches to input values into registers and memory. Programs can be run or single-stepped, and breakpoints can be set for debugging. The internal workings of the machine, including the program counter, instruction register, accumulator, and work registers, are visible in binary lights. Front panel switches let you control those same items.
The computer also hosts three different microcodes, each providing a unique instruction set. Two are based on computers from Princeton, Toy-A, and Toy-B, used as teaching tools. The third is a more advanced instruction set that allows using things like emulated peripherals, including storage devices. If you want to build one or just follow along as the machine is constructed, programmed, and used, [Phil] has a series of videos demonstrating its functionality, and he’s made everything open-source for those more curious. It’s a great way to get a grasp on the fundamentals of computing, and the only way we could think of to get even more into the inner workings of a machine like this is to build something like a relay computer.
MIT researchers have created a detailed map of neuron activity in the C. elegans worm, revealing how neurons encode behavior. Using cutting-edge technology, they discovered neurons’ capability to adjust their encoding based on various factors and conditions. Their findings provide a comprehensive neural behavior atlas for further studies.
MIT
MIT is an acronym for the Massachusetts Institute of Technology. It is a prestigious private research university in Cambridge, Massachusetts that was founded in 1861. It is organized into five Schools: architecture and planning; engineering; humanities, arts, and social sciences; management; and science. MIT’s impact includes many scientific breakthroughs and technological advances. Their stated goal is to make a better world through education, research, and innovation.
Why is everyone so worried about teenagers using AI to write their term papers while no one is talking about AI crashing the financial markets? If high school Pat gets an A they didn’t earn that’s one thing, but Megla Corp using AI to corner the stock market and crash the world economy, well that is quite another. I have no proof that large corporations are in a competition to build the perfect trader, the ultimate hedge fund manager, the killer quant, and the optimal analyst all rolled into one ultra-economist AI, but I know, we all know, in our greedy little capitalist hearts, it’s true. This wanna-be hegemonic corporation will have unleashed an economic weapon that can’t be bargained with, can’t be reasoned with, doesn’t feel pity or remorse or fear, and absolutely will not stop… EVER, until you are broke!
The legendary Hedge fund manager Kyle Reese aside, think about the implications of a trading bot that has even just a 2% advantage and how much money that can mean. Casino empires were built on games that have less advantage than that so you are crazy if you don’t think there is a race to build the ultimate TradeGPT. Everyone is looking for an edge because, in a land where money is king, he or she who owns a money printer owns the crown. Wall Street was an early adopter of computers and networks and they got so far out ahead of the regulators that they crashed the market on Black Monday in 1987 dropping the US market almost 25% in a day that sent reverberations around the world.
Artificial Intelligence makes art, knows more than many humans and works faster than they do. But will people accept AI-controlled social robots working in the service industry or entertaining those in need of care?
What does a robot need to have to be accepted as a social partner by a human being? Does it need a face? Should the machine understand — or even show — emotions?
The psychologist, neurologist and philosopher Agnieszka Wykowska, currently researching at the Italian Institute of Technology in Genoa, says: “We tend to humanize everything. We even see faces in car hoods. This is further reinforced whenever a robot demonstrates humanlike behavior.
In a care home for the elderly in Rendsburg, the film shows what sort of relationship forms between residents and robots. Hannes Eilers from the Kiel University of Applied Sciences is carrying out tests there with robots for health insurance companies. The robots sing with the elderly people, play games or demonstrate physio exercises. The one thing they’re not allowed to do with them is pray. The systems there function autonomously. This means they can’t access an AI server, so they abide by data protection laws.
But AI servers are already controlling much of our communication. They don’t just suggest what we should read, eat or buy next: ‘chatbots’ also serve as personal contacts. At the Massachusetts Institute of Technology (MIT) in Boston, the scientist Hossein Rahnama is working on perfecting the appearance and communication skills of chatbots like these. His view: “We now have access to such immense computing power and data that we can create a digital version of every person. Before too long, we can even make them sentient.
In future, will we be able to tell the difference between a flesh-and-blood human, and their digital clone?
Since this book is about what I consider intellectual subject matter, I think it’s relevant to keep brains in top shape and thought it would be important to share this. You probably know about this sort of thing but I didn’t know the specific nutrients needed and what was lacking in people with Alzheimer’s. Best wishes.
Alzheimer’s disease is a progressive neurodegenerative disease estimated to affect 6 million Americans and 33 million people worldwide. Large numbers of those affected have not yet been diagnosed.
A new study published in the Journal of Alzheimer’s Disease by a Virginia Tech Carilion School of Medicine faculty member shows that brain levels of dietary lutein, zeaxanthin, lycopene, and vitamin E in those with Alzheimer’s disease are half those in normal brains. Higher dietary levels of lutein and zeaxanthin have been strongly linked to better cognitive functions and lower risk for dementia or Alzheimer’s disease.
“This study, for the first time, demonstrates deficits in important dietary antioxidants in Alzheimer’s brains. These results are consistent with large population studies that found risk for Alzheimer’s disease was significantly lower in those who ate diets rich in carotenoids, or had high levels of lutein and zeaxanthin in their blood, or accumulated in their retina as macular pigment,” said C. Kathleen Dorey, professor in the Department of Basic Science Education at the medical school. “Not only that, but we believe eating carotenoid-rich diets will help keep brains in top condition at all ages.”
