5 AI Predictions For The Year 2030

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Rob Toews is a venture capitalist at Radical Ventures.

Using Generative AI To Help Cope With That Exploding Trend Of People Doing Abundant Ranting And Trauma Dumping On OthersMaking predictions for the year ahead is difficult enough. What if we tried to predict the future not one year out, but half a decade out?

A Russian Drone Spotted A Ukrainian Patriot Air-Defense Crew Convoying Near The Front Line. Soon, A Russian Hypersonic Missile Streaked Down. As demand for AI chips continues to grow in the years ahead, relentless market forces will ensure that more competitors will enter, supply will increase,from training to inference: that is, from building AI models to deploying those models in real-world settings. Nvidia’s highly specialized chips are unrivaled when it comes to training models.

2. We will interact with a wide range of AIs in our daily lives as naturally as we interact with other humans today. Generative models that can converse knowledgeably on any topic, or produce high-quality videos on demand, or write complex code represent important advances in artificial intelligence. But these advances all occur in the world of software, the world of bits.

This is going to change in the years ahead. Generative AI is going to conquer the world of atoms—and it will make everything that has happened to date in AI seem modest by comparison. In more recent history, consider how many different physical devices were collapsed into a single product, the iPhone, thanks to the genius of Steve Jobs and others: phone, camera, video recorder, tape recorder, MP3 player, GPS navigator, e-book reader, gaming device, flashlight, compass.

Large language models will automate vast swaths of cognitive work in the years ahead. In parallel, humanoid robots will automate vast swaths of physical work. What we today refer to using the umbrella term “agents” is actually just a core set of capabilities that any truly intelligent entity possesses: the ability to think long-term, plan, and take action in pursuit of open-ended goals. Becoming “agentic” is the natural and inevitable end state for today’s artificial intelligence. Cutting-edge AI systems in 2030 will not just generate output when prompted; they will get stuff done.

By 2030, AI will be unfathomably more powerful than humans in ways that will transform our world. It will also continue to lag human capabilities in other ways. If an artificial intelligence can, say, understand and explain every detail of human biology down to the atomic level, who cares if it is “general” in the sense of matching human capabilities across the board?5. AI-driven job loss will be one of the most widely discussed political and social issues.

Source: Tech Daily Report (techdailyreport.net)


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