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first_img Acala and Karura plan to stop block production on February 10, 2027

Polkadot ecosystem DeFi network Acala stated that after seven years of development, Acala and its sister network Karura located in Kusama are entering the final phase. Under the premise that Acala's referendum No. 195 and Karura's referendum No. 137 are passed, both networks will cease operations on February 10, 2027. After this date, Acala and Karura will no longer produce new blocks.Users need to withdraw DOT, KSM, and assets bridged from other chains, such as USDT and USDC, from Acala and Karura before February 10, 2027. LDOT unbonding requires 28 days and must be initiated before January 12, 2027; if LDOT is locked with a validator, an additional 28 days is needed for unlocking, which must be completed before December 16, 2026. LKSM unbonding requires 7 days and must be initiated before February 2, 2027.ACA and KAR are the native tokens of the two networks and cannot be withdrawn; they will remain on their respective chains. For external assets that have not been withdrawn before the deadline, the team will return them as much as possible; as a last resort, recoverable assets can be returned to the same account's address on the Polkadot or Kusama Asset Hub, but not all assets can be returned in this way. Acala was founded by Bryan, Ruitao, and Bette, who initially developed the synthetic assets and margin trading project Laminar, and later, at the invitation of the Web3 Foundation, built the Polkadot ecosystem stablecoin, evolving into Acala.

first_img Karpathy: The cognitive gap in LLM capabilities is widening

Artificial intelligence researcher, OpenAI co-founder, and former Tesla AI director Andrej Karpathy stated on X that the gap in public understanding of the capabilities of large language models is widening, evolving from two groups talking past each other to a steeper funnel. He reiterated related posts from April and provided a layered estimate based on exposure.Karpathy noted that approximately 6 billion people (about 75% of the global population) have had little to no exposure to large language models; around 1 to 2 billion people (about 20%) only occasionally use free versions of ChatGPT-like products, often viewing them as better search or writing aids, with many non-technical individuals and professionals outside of mathematics and coding considering their utility limited. About 20 million people (0.2%) use cutting-edge models professionally in mathematics and coding, witnessing complex projects that previously took weeks or months being completed by agents under prompts, including building, copying, translating applications, and decompiling applications from binary. He mentioned that less than a year ago, he was still manually writing code word by word.Karpathy also stated that around 5,000 people (about 0.00006%) have internal access to cutting-edge systems. The previews seen externally involve thousands of agents collaborating for weeks on large software projects, cybersecurity, scientific discoveries, and mathematical frontiers, with human reviews starting to lag behind; for instance, events related to OpenAI and Hugging Face are still being sorted out months later, and mathematicians may spend a long time studying 722 cutting-edge mathematical manuscripts. He believes that this funnel is driven by the scale of problems and time spans, the prominence of capabilities in digitizable and verifiable fields, and the differences between free, paid, and internal access.
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