Sam Altman, AI and AGI
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Snowflake is positioning itself as the “factory floor” for enterprise AI, embedding LLMs, RAG, and skills into its AI Data Cloud where governance and
In his speech at an AI conference on the Las Vegas Strip, Geoffrey Hinton discussed the launch of GPT-5, how humans are getting AI wrong and when we’ll reach Artificial General Intelligence.
Some tech workers preparing for an AI apocalypse — or utopia — by leaning into working out, building bunkers, or burning their retirement savings.
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.
Futurism on MSN5d
MIT 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,
Months after Alexandr Wang switched from Meta to Scale AI, the groups he oversees have been re-sorted into research, product, and infrastructure divisions.
Startup Character.AI once promised superintelligence. Its new CEO says it's now an entertainment company with 20 million users.
To Dr. Fei-Fei Li, AI isn’t a race or a looming contest of strength. It’s another step in building systems that work alongside people and protect the things we value.
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.
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.
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