🚀 SEC Chair Advocates for Reduced Data Requirements for Private Fund Advisors
#SEC #PrivateFunds #DataRequirements #PaulAtkins #RegulatoryPolicies #HedgeFunds #PrivateEquity #DataCollection #Compliance #FinancialRegulation
According to Odaily, U.S. Securities and Exchange Commission (SEC) Chair Paul Atkins has expressed a desire for the agency to consider reducing the scope of data that private fund advisors must provide to regulators in upcoming regulatory policies. The deadline for complying with the new data reporting requirements has been postponed from June 12 to October 1. This potential reduction in data collection could be seen as a significant win for hedge funds and private equity firms.
Atkins has raised concerns about whether the Trump administration's use of data aligns with the substantial burden it imposes. He has requested a comprehensive review of the increased data collection requirements implemented during the tenure of former SEC Chair Gary Gensler. Private fund advisors have highlighted challenges, including technological ones, as they approach this week's deadline.
During a commission meeting on June 11, SEC staff noted that many funds originally had over two months before they were required to begin submitting the new data.#SEC #PrivateFunds #DataRequirements #PaulAtkins #RegulatoryPolicies #HedgeFunds #PrivateEquity #DataCollection #Compliance #FinancialRegulation
🚀 Korean Scientist Predicts Shift from HBM to HBF Due to AI Demands
#AI #HBM #HBF #ArtificialIntelligence #DataRequirements #TechnologyDevelopment #MemoryCentricComputing #GPU #ChipArchitecture
Recently, Professor Kim Jeong-ho, known as the 'Father of HBM' from the Korea Advanced Institute of Science and Technology, highlighted the increasing importance of artificial intelligence's thinking and reasoning capabilities. According to Jin10, during the 'HBF Research Content and Technology Development Strategy Briefing,' Kim emphasized that the transition from text to voice interfaces will inevitably lead to a dramatic increase in data requirements. Kim predicts that due to HBM's inability to meet the rapidly growing demand, the industry will inevitably adopt HBF. Currently, the structure involves vertically connecting up to two graphics processing units (GPUs) and attaching HBM alongside GPUs to handle operations. However, in the future, the simultaneous attachment of HBM and HBF could eliminate capacity limitations. Once the MCC (Memory-Centric Computing) architecture, which organically combines CPU, GPU, and memory on a single basic chip, is completed, the required HBF capacity will further increase. From 2038 onwards, the demand for HBF is expected to surpass that of HBM.#AI #HBM #HBF #ArtificialIntelligence #DataRequirements #TechnologyDevelopment #MemoryCentricComputing #GPU #ChipArchitecture