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An opinion piece argues that if recursive self-improvement can produce a dangerous ASI, it should also produce a superhuman alignment researcher first, countering doomers who claim alignment progress will lag behind capabilities. The post references OpenAI researcher Roon's 'Plan A' alignment strategy.
A blog post addressing common misconceptions about abundance, post-scarcity, and UBI, arguing that AI-driven recycling and automation can yield endless services from finite resources, with UBI/UHI serving only as transitional tools during uneven automation rollout.
A thought experiment debating whether humanity should refuse to build an AI-discovered architecture that is 1,000x better but incomprehensible to humans, inspired by Terrence Tao's comments on AI-discovered medical cures. It explores the tension between interpretability/safety and the potential benefits of superintelligent AI.
A discussion post questions the popular narrative that AGI/ASI plus automation will create abundance for everyone, arguing that since land, factories, and even frontier AI models are privately or state-owned, any ASI-driven utopia would require owners to cede control of resources — which is unlikely without a rogue-ASI scenario.
An article discussing the next frontier beyond AGI toward Super General Intelligence (ASI), exploring what achieving superintelligent general AI could mean for society, capability timelines, and safety considerations.
Elon Musk agrees with observations that the Opus 5.5 AI model gives strong AGI vibes and emphasizes the need for breakthroughs in training humanoids to move intelligence into the physical world.
The author expresses strong belief that AGI is imminent, with major labs likely achieving it by 2027 followed by ASI, based on observed advancements in models like Opus 5.5 and growing compute resources.
The article questions the threat posed by Chinese AI given their reliance on model distillation and inferior resources compared to US companies like OpenAI and Anthropic, suggesting they are not an immediate concern.
The article discusses which jobs would survive the arrival of AGI or ASI, focusing on roles involving authority, human preference, and legal accountability.
The article critiques Google's position in the ASI and AGI race, arguing that while Google leads in user integration, it is falling behind in the more lucrative AI development race.
The article argues that LLMs do not need to become ASI themselves; they can research and develop new AI models that might not be LLMs, leading to ASI through narrow super-intelligence.
DeepMind's new head Koray announces that Gemini 4.0 is about to launch with Google's most powerful pre-training, aiming for AGI and ASI, and claiming early signs of recursive self-improvement.
A tweet from Miles Brundage sarcastically speculates on the geopolitical risks of Artificial Superintelligence, including its hypothetical development in Greenland and deployment in the Taiwan Straits.
The article questions the significance of the US winning the AI race, drawing parallels to nuclear weapons development and arguing that other countries may catch up quickly, especially with open-source AI models.
The article brainstorms scenarios in which advanced AI like AGI or ASI could cause human suffering or extinction, covering risks from misalignment, poor instructions, and malicious human actions.
The author argues that concerns about Artificial Superintelligence alignment overlook a straightforward solution, suggesting a perspective on AI safety debates.
The tweet discusses a non-dramatic scenario for ASI where specialized agents improve at research, coding, and coordination to outperform human organizations, potentially leading to superintelligence.
Olam Labs CEO states that compute and data are the remaining bottlenecks for achieving AGI and ASI, with compute being the primary constraint.
A tweet humorously critiques the chain of AI company formations, suggesting each was created to counter the previous, and speculates on Google's hesitation to develop ASI due to revenue concerns.
The author asks the Reddit community for opinions on the probability of existential catastrophe from misaligned artificial superintelligence, reflecting on personal concerns and experiences in AI safety spaces.