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Top AiNews.com Headlines for Wednesday July 24th
US Lawmakers Demand AI Safety Commitments from OpenAI in New Letter
Alicia Shapiro
July 24, 2024 • Estimated Reading Time: 13 minutes
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Today’s Headlines:
US Lawmakers Demand AI Safety Commitments from OpenAI in New Letter - The lawmakers’ letter outlines 11 additional points, including securing OpenAI’s commitment to allocate 20% of its computing power to safety research and establishing protocols to prevent the theft of AI products by malicious actors or foreign adversaries. A significant point in the letter asks whether OpenAI will allow U.S. government agencies to conduct pre-deployment testing, review, analysis, and assessment of its next foundation model. This question is part of a broader inquiry into the company's practices.
OpenAI Shares Safety Updates Following Whistleblower Complaints - OpenAI has responded to growing concerns about the safety of generative artificial intelligence models by sharing updates on its safety initiatives. This comes after a seven-page complaint filed by whistleblowers, obtained by The Washington Post, and recent demands from US lawmakers for more transparency.
Colin Kaepernick Launches Lumi AI Platform for Creators - Former NFL quarterback and civil rights activist Colin Kaepernick has launched a new AI storytelling platform, Lumi, aimed at helping creators own and tell their stories. The platform uses generative AI to assist storytellers in developing and distributing their narratives.
Alphabet Beats Q2 Estimates with Cloud Growth, Rising AI Investments - Google parent Alphabet reported its fiscal second-quarter earnings on Tuesday, surpassing analysts' estimates. The company posted earnings per share of $1.89 on revenue of $84.7 billion, exceeding expectations of $1.85 on revenue of $84.3 billion. This marks a significant increase from the same period last year.
Stability AI Launches Stable Video 4D for Multi-Angle Video Generation - Stability AI has announced the launch of Stable Video 4D, an innovative AI model designed to transform single object videos into multiple novel-view videos from eight different angles. This cutting-edge technology marks a significant advancement in video generation capabilities.
Microsoft Boosts AI Capacity with Lumen Partnership - Microsoft has announced a partnership with Lumen Technologies to enhance its capacity for AI workloads. This collaboration will leverage Lumen's network equipment to address the growing demand at Microsoft's data centers. As part of the agreement, Lumen Technologies will utilize Microsoft's Azure cloud services to reduce costs.
New AI Regulation Agreement May Benefit Apple Intelligence in EU - A new agreement between the US, EU, and UK on AI regulation may pave the way for Apple to launch its Intelligence features in EU countries. This development comes as law enforcement bodies from these regions have agreed to adopt common principles in addressing antitrust concerns over AI products and services.
VCs Invest Billions in Generative AI Startups Despite Challenges - Investments in generative AI startups are not slowing down. However, these investments are becoming concentrated in a smaller number of early-stage ventures. According to Crunchbase data shared with TechCrunch, 225 generative AI startups raised $12.3 billion from VCs in the first half of 2023, from January to July 16.
Scientists Warn of AI ‘Model Collapse’ Risk from Self-Generated Data - British and Canadian researchers led by Ilia Shumailov at Oxford University have raised concerns about the potential for “model collapse” in AI, a degenerative process that could occur when machine learning models are trained on data generated by other AI models.
AI Advances Boost Fraud and Financial Crime Detection - Traditional methods of detecting financial crime are becoming increasingly insufficient in a data-saturated world. Financial institutions (FIs) worldwide face evolving challenges in combating financial crime, which grows in complexity and scale each day. Wolfgang Berner, co-founder and CPO of Hawk, discussed the potential of large transaction models (LTMs) in establishing robust detection and prevention mechanisms.
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