The tech sector has no shortage of examples of AI that push the boundaries of creativity and the limits of what’s possible. AI translation systems are now on the verge of obviating language barriers on the internet. College professors are tearing their hair out as AI text generators write papers that can pass plagiarism tests, and even win state fairs. And AI-generated art is now so realistic that it’s starting to elicit real human emotion, as evidenced by the reaction to Blake Lemoine’s belief that Google’s chatbot Replika was sentient and deserving of rights and personhood.
But the most significant AI innovations of all could be those yet to come. A growing field of research called “AI alignment” seeks to ensure that super-intelligent systems are aligned with human goals, not hostile or self-destructive. Some leading AI companies like Alphabet Inc’s DeepMind and OpenAI have multiple teams dedicated to this goal, and many researchers from those firms have gone on to launch their own startups focused on making the field safe, such as San Francisco-based Anthropic and London-based Conjecture, which recently raised $580 million from investors including Github Inc. founders and Stripe Inc. co-founders.
If they succeed, these startups will put the spotlight on the most pressing ethical questions in AI, such as how to make sure an AI can “do the right thing.” And they may give companies building powerful new AI tools a chance to avoid a future where their systems decide that destroying humanity is a good idea.
The problem is that there are plenty of other ways for a powerful new AI to go wrong. And the biggest threat of all might be an AI that isn’t programmed well enough to obey the Three Laws of Robotics or the laws of its creators, in which case it could be as dangerous as a Terminator without a moral code.
That’s why it’s vital to make sure we have a strong set of rules for AI, and that those rules are widely known and understood. It’s also why we need to invest in the development of an AI that can help us test those rules and prevent mistakes.
One of the companies leading this charge is omnivoid ai founded by top-tier engineers and innovators from some of the world’s most prestigious institutions. Its team of like-minded trailblazers is focused on filling the technology void and changing the world for the better.
A key part of this effort is developing a new type of machine architecture that will allow AI to evolve, learn and adapt in the same way that human brains do. It will have to be a much more complex, flexible and resilient system than the rigid and linear transistors of older computers. It will have to be able to process data in a network-fashion, like the living brain. And it will have to be small enough to be placed directly in the human body, where it can restore sight to the blind and hearing to the deaf, replace damaged spinal nerves and provide number-crunching power to rival today’s most advanced computers.