Sam Altman, AI and AGI
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In a new post, Meta CEO Mark Zuckerberg said that the company’s AI is on the slow road to superintelligence, a technological threshold beyond artificial general intelligence (AGI) when AI can begin improving itself.
Startup Character.AI once promised superintelligence. Its new CEO says it's now an entertainment company with 20 million users.
Months after Alexandr Wang switched from Meta to Scale AI, the groups he oversees have been re-sorted into research, product, and infrastructure divisions.
Developers have a front-row seat on the rollercoaster ride of generative AI. How we use it in our daily work tells us a lot about where the AI boom is headed.
Some tech workers preparing for an AI apocalypse — or utopia — by leaning into working out, building bunkers, or burning their retirement savings.
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Futurism on MSNMIT Student Drops Out Because She Says AGI Will Kill Everyone Before She Can Graduate
We're all probably feeling a little anxious about AI. It's horrible for the environment, is used as an excuse to fire workers, floods the internet with misinformation and slop, entrenches government surveillance,
AGI tutors could adapt teaching methods to each student's learning style, pace and interests. They might use virtual reality to create immersive learning experiences, making education more ...
In fact, AGI may ultimately help us solve problems we've long struggled with, like curing cancer. And even if that's the only thing a particular AI can do, that alone would be revolutionary.
Samsung establishes AGI Computing Labs in both the USA and South Korea, will 'create a completely new type of semiconductor' specifically for future AGI.
AGI is a suspiciously compelling story with the additional disadvantage of shrouding its purported subject in mystery. Within the AI community, some have raised concerns about the focus on AGI.
The technical challenges are substantial but more tractable than general-purpose AGI. EGI requires shifting from static prompts to real-time system integration, from text generation to multi-system orchestration and from human validation to autonomous error correction based on predefined, human-generated rules and guardrails.