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Sebastian Mallaby predicts that by 2028, AI will achieve recursive self-improvement, where frontier models autonomously code the next generation, leading to vertical progress and ending the race for superintelligence.
An opinion piece arguing that the real AI competition is not between the US and China, but involves broader factors and stakeholders.
China has reportedly matched Anthropic's capabilities in cybersecurity, resetting the dynamics of the global AI race according to a Wall Street Journal report.
An analysis arguing that the US is losing the AI race not at the frontier but in the volume of routine inference, where Chinese open-weight models like GLM and Kimi dominate the Global South, posing a geopolitical threat that export controls cannot counter.
US officials, including House Foreign Affairs Committee Chairman Brian Mast and Senator Jim Banks, warn that China is narrowing the US lead in AI, framing the competition as a moral and national security race between a 'superhero' and 'supervillain'.
The article argues that the AI race may ultimately be about trust and organizational intelligence rather than model benchmark competition, as enterprise adoption requires integration, governance, and accountability beyond raw intelligence.
A forum discussion speculating on which AI lab will achieve AGI first, referencing past predictions by Google, recent capabilities from OpenAI and Anthropic, and the competitive nature of DeepMind's Demis Hassabis.
DeepMind reportedly struggles to keep up with Anthropic and OpenAI, with its 3.5 Pro model not providing the significant advancement needed to be competitive.
The article argues that the window for nations to build sovereign frontier AI models has closed, as Anthropic's Mythos and Fable models represent a new accelerating paradigm where leading models help produce the next generation, leaving Europe and others dependent on external systems.
Andrew Curran reflects on the disappearance of the Fable model and the emergence of Mythos, arguing that the window for nations to achieve frontier AI capabilities has closed, and that Anthropic's predictions about an accelerating AI race are now being realized.
Moonshot AI is reportedly seeking a large funding round at a $30 billion valuation, reflecting the intensifying competition in China's AI sector.
The author analyzes the current AI race, arguing that big corporations are using high costs to outlast smaller competitors, but predicts a shift to flat-fee pricing and locally-run AI in the long term, advocating for government co-built data centers for sovereign AI infrastructure.
Greg Brockman recounts the 72 hours surrounding Sam Altman's firing at OpenAI, detailing the board call, his resignation, the Phoenix backup company, and Ilya Sutskever's tweet, in a podcast interview with The Knowledge Project.
Vinod Khosla warns that the US is in a techno-economic war with China over AI, stating that the winner will dominate economically and globally.
Meta laid off 8,000 employees (10% of its workforce) as part of a restructuring to focus on AI, with CEO Mark Zuckerberg warning that success in the AI race is not guaranteed. The company also moved 7,000 workers into AI roles and plans massive capital expenditures of up to $145 billion.
A subscriber-only roundtable discussion featuring AI reporter Michelle Kim and editor in chief Mat Honan explores the inside story of the Musk v. Altman trial and its implications for the AI race.
This newsletter covers Elon Musk's lost lawsuit against OpenAI over its for-profit shift, Anduril and Meta's prototype smart glasses for military use, and a preview of Google I/O where Google aims to catch up in the AI model race.
The article argues that US leadership in AI commercialization is decisive, driven by integrated infrastructure from chips to cloud and data platforms, while China lags in commercial reach and Europe struggles without cloud giants.
The article discusses the upcoming Trump-Xi meeting in Beijing and how the escalating AI rivalry between the US and China could reshape global power, touching on security, trade, and the future of society.
The article discusses the emerging competitive landscape between the US and other nations in the technology and AI sectors.