🚀 U.S. Commerce Secretary Highlights AI's Impact On Job Market
#AI #JobMarket #AIEthics #AIEssentials #AIDeployment #AIGovernance #InternationalAI #AIsafety #Commercesecetary #Innovation
According to PANews, U.S. Commerce Secretary Gina Raimondo addressed the inaugural meeting of the International AI Safety Institute Network, emphasizing the unprecedented nature of artificial intelligence technology and its potential to significantly disrupt the job market. Raimondo stressed the importance of ensuring the safety of AI systems before their deployment, highlighting the necessity for rigorous testing and evaluation. She called for the establishment of international best practices for AI safety as an urgent priority.
Over the past year, progress has been made in promoting AI safety, with new initiatives now in place that did not exist before. The International AI Safety Institute Network currently comprises ten members, with plans to expand its membership in the future. The U.S. Department of Commerce's AI Safety Institute is focused on identifying national and public safety risks associated with AI. A team of scientists and engineers is developing advanced methods for testing AI models both before and after deployment.
The institute prioritizes scientific excellence rather than acting as a regulatory body. Its goal is to ensure that government AI initiatives are both intelligent and cutting-edge, guided by scientific principles.#AI #JobMarket #AIEthics #AIEssentials #AIDeployment #AIGovernance #InternationalAI #AIsafety #Commercesecetary #Innovation
🚀 Howard Marks Warns of Fed's Influence on Investment Risks
#HowardMarks #FederalReserve #InvestmentRisks #InterestRates #OaktreeCapital #FundingCosts #EconomicIntervention #AIImpact #EmploymentConcerns #DebtIssuance #AIDeployment
According to Odaily, Howard Marks, co-founder of Oaktree Capital Management, has cautioned that the Federal Reserve's intervention in funding costs could drive investors towards higher-risk investments amid a slowing return environment. Marks expressed skepticism about the necessity for interest rates to be significantly lower than their current levels. He stated, "I believe the Federal Reserve should remain passive most of the time, intervening only when the economy is severely overheating, heading towards rampant inflation, or in a deep slump unable to create jobs. I do not think the current situation warrants such action." Earlier this week, Marks wrote in a blog post about his concerns regarding the impact of artificial intelligence on employment. He also questioned the practice of large-scale enterprises issuing substantial debt at low yields to finance AI deployment, despite uncertain demand for AI.#HowardMarks #FederalReserve #InvestmentRisks #InterestRates #OaktreeCapital #FundingCosts #EconomicIntervention #AIImpact #EmploymentConcerns #DebtIssuance #AIDeployment
🚀 Vitalik Buterin Proposes Localized AI Deployment Strategy for Enhanced Privacy and Security
#VitalikButerin #LocalizedAI #Privacy #Security #LargeLanguageModels #LLM #DataPrivacy #AIdeployment #TechStrategy #ModelInference #AIhardware #NVIDIA #AMD #DGX #Qwen3.5 #LlamaServer #NixOS #HighPerformanceAI
Vitalik Buterin has outlined a strategy for deploying localized and private large language models (LLMs) by April 2026. According to Odaily, the plan emphasizes privacy, security, and autonomy, aiming to minimize the exposure of personal data to remote models and external services. The approach includes local inference, local file storage, and sandbox isolation to reduce risks of data leaks, model jailbreaks, and malicious content exploitation.
In terms of hardware, Buterin tested various configurations, including a laptop with an NVIDIA 5090 GPU, an AMD Ryzen AI Max Pro device with 128 GB unified memory, and DGX Spark setups. He utilized Qwen3.5 35B and 122B models for local inference, achieving approximately 90 tokens per second with the 5090 laptop, around 51 tokens per second with the AMD setup, and about 60 tokens per second with DGX Spark. Buterin expressed a preference for building local AI environments based on high-performance laptops, using tools like llama-server, llama-swap, and NixOS to establish the overall workflow.#VitalikButerin #LocalizedAI #Privacy #Security #LargeLanguageModels #LLM #DataPrivacy #AIdeployment #TechStrategy #ModelInference #AIhardware #NVIDIA #AMD #DGX #Qwen3.5 #LlamaServer #NixOS #HighPerformanceAI