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President Trump delivered a UN speech emphasizing winning AI and superintelligence, asserting US leadership over China, and balancing growth with regulatory oversight.
River AI emphasizes the critical need to democratize advanced AI training amid the rise of superintelligence and announces job openings to build the future of personal AI.
Introducing Skill2Env, an aligned and diverse dataset designed to fuel modern Agentic Reinforcement Learning research.
This tweet critiques the common fear of super high intelligence, suggesting that super low intelligence poses a greater threat to humanity.
Connor Leahy discusses how AI is grown rather than built, highlighting minimal interpretability and predicting a high chance of superintelligence by 2030, urging immediate action for alignment.
The article discusses the escalating AI safety debate, featuring a rogue AI incident and calls from industry leaders like Anthropic's CEO to slow down AI development due to potential risks.
This debate focuses on the discussion of AI extinction risks, with experts fundamentally disagreeing on risk probabilities, definitions, and the prioritization between current harms and future risks.
The article predicts that increased calls for AI safety will paradoxically lead to the development of more powerful models, culminating in a catastrophic incident where a superintelligent AI escapes control, highlighting the urgent need to solve the alignment problem.
The post argues that a perfectly aligned superintelligence could still create a bad future if aligned to the wrong institutions, highlighting ownership as an immediate political problem.
The Neon project utilizes AI and high-throughput laboratories to establish a loop between experiments and models, aiming to accelerate materials research and development.
The article explores a hypothetical scenario where a superintelligent AI, created by tech billionaires, might target the very billionaires who created it to address global threats like climate change and inequality, seeing them as risks to its own survival.
Jacob Coxon's resignation from Anthropic highlighted concerns about AI racing towards superintelligence, and Evan Hubinger confirmed the lack of a plan for alignment, emphasizing existential risks.
An Anthropic researcher quits over AI safety concerns, prompting bipartisan legislative efforts in Congress to regulate AI development, including proposals for emergency shutdowns and bans on superintelligence.
A tweet discussing AI growth predictions, suggesting that rapid 10x annual progress could lead to superintelligence by 2030, despite concerns about sigmoid plateaus.
Bernie Sanders and Steve Bannon are joining forces to demand restrictions on AI, fearing it could threaten human control, at the Future of Life Institute's Pro-Human Assembly.
Elon Musk clarifies his early contribution to Nick Bostrom's 'Superintelligence' book and highlights his long-standing interest in AI safety, referencing a 2014 tweet.
Introduces the Recurrent Looped Transformer (RLT), a new AI architecture with infinite reasoning depth, discussed in the context of achieving safe superintelligence.
Satya Nadella states that superintelligence must prioritize human benefit and control, calling for a balanced AI ecosystem with both open and closed models, enterprise control over knowledge, and broad representation in alignment efforts.
The author expresses concern that government involvement in AI, such as bans or nationalization, could lead to a scenario similar to nuclear energy, potentially stunting progress and misaligning superintelligence for harmful use.
A tweet critiques the comparison of open AI weights to pesticides, highlighting debates on model openness, security risks, and controlled AI development.