David Sacks: Leading AI firms have signed the Superintelligence White House Agreement and implemented new internal control and external audit mechanisms.
Beating AI Express News: David Sacks, chair of the U.S. President’s Council of Advisors on Science and Technology (PCAST), published a post stating that Trump convened leaders of top firms in the chips, data centers, and frontier AI model sectors to discuss the development of the "superintelligence" industry. He noted this new industrial revolution has created 1 million jobs, with its infrastructure construction scale exceeding the combined total of railroad, canal, and power grid projects. Sacks added that heads of multiple frontier AI lab companies have signed the "White House Superintelligence Agreement", committing to responsible product development and implementing new internal control and external audit mechanisms. He argued that rather than waiting for international agreements that could take years to finalize, companies signing such an agreement is a better choice, as it also helps the U.S. maintain its technological leadership.
10 minutes ago
Grayscale’s Chainlink ETF buys another $2.36 million worth of LINK.
According to Onchain Lens monitoring, Grayscale’s Chainlink ETF has made another purchase of $2.36 million worth of LINK. Five hours ago, the ETF bought and received 159,480 LINK tokens from Coinbase Prime, valued at approximately $2.36 million. So far this month, the ETF has accumulated purchases of at least 629,100 LINK tokens, totaling around $8.37 million.
10 minutes ago
Multicoin announces investment in DePIN project Grass, bullish on the AI real-time data retrieval market.
Multicoin Capital announced that its hedge fund and venture capital funds have invested in DePIN project Grass, positioning it as the "read layer for machine intelligence". Over the past 18 months, Grass has used crypto incentives to recruit users to share idle network bandwidth for querying and parsing the public internet, and has integrated into data processing workflows at several leading AI labs. Grass disclosed that more than 6 million contributors have received USD-denominated rewards backed by network revenue. The project generated $17 million in revenue in 2025, and matched that figure with $17 million in revenue in the first half of 2026. It is already profitable, and forecasts its training data business alone will hit $75 million in revenue in 2026. Multicoin noted that the market currently largely views Grass as a proxy network supplying pre-training data to AI labs, but has not fully factored in its potential for real-time retrieval during the inference phase. Grass plans to launch content APIs, search APIs, and web indexes to enable AI models and agents to access real-time web information; its system has already collected over 1 billion public videos.
10 minutes ago
OpenAI rolls out GPT-6 Sol update in just one week, with its performance approaching Astra.
Beating AI Express: Just a week after launching GPT-6 Sol, OpenAI has rolled out GPT-6.1 Sol. The new model focuses on improving performance in programming, Computer Use, and complex professional tasks, with prices remaining largely unchanged. In OpenAI's internal tests, GPT-6.1 Sol scored 75.2% on the DeepSWE 1.1 programming benchmark, 6.4 percentage points higher than GPT-6 Sol's top score, and is now on par with Astra. It also lagged Astra by just 2.1 percentage points in the Computer Use benchmark. Third-party tests yielded similar results. In Artificial Analysis' latest Intelligence Index, GPT-6.1 Sol Max scored 52 points, GPT-6 Astra scored 53, and GPT-6 Sol scored 48. The standard API pricing remains unchanged at $2 per million input tokens and $10 per million output tokens, matching GPT-6 Sol. Cached input pricing has also been reduced from $0.2 to $0.1 per million tokens. In comparison, Astra's standard pricing is $10 per million input tokens and $50 per million output tokens, making GPT-6.1 Sol's standard price just one-fifth of Astra's. GPT-6.1 Sol is now available via API, Codex, and ChatGPT Work, accessible to Plus and higher-tier users, though it has not yet been integrated into standard ChatGPT conversations. Early community feedback has focused heavily on cost-effectiveness. Many developers note it is significantly more suitable than GPT-6 Sol for use as a daily coding agent, though some real-world tests still find Astra more reliable for complex tasks. The move effectively brings most of the flagship model's capabilities down to a price point that supports frequent, high-volume use.
10 minutes ago
After AMD's acquisition of World Labs, Li Feifei's net worth is projected to reach at least $1.6 billion.
Beating AI News (via Bloomberg): AMD’s acquisition of AI startup World Labs at an $8.2 billion valuation will push co-founder and CEO Li Feifei’s net worth to at least $1.6 billion upon deal closure, a rise of over 50% from her previous fortune. Li Feifei became a billionaire in February this year after World Labs secured a funding round that valued the startup at more than $5 billion. The Bloomberg Billionaires Index estimates she holds roughly 19% of World Labs’ shares. Founded in early 2024, World Labs specializes in spatial intelligence and physical intelligence, using AI to develop physical space simulations applicable to design and robotics. Post-acquisition, Li Feifei will serve as AMD’s Chief Scientist, and World Labs’ research team and models will gain access to AMD’s computing resources. After AMD’s acquisition of World Labs, Li Feifei’s net worth is projected to rise to at least $1.6 billion.
10 minutes ago