AI News Roundup
Trump Administration’s New AI Guidelines
The Trump administration is drafting new guidelines concerning AI contracts for federal agencies amidst a dispute with Anthropic. According to the Financial Times, the new draft guidance from the General Services Administration (GSA) mandates that AI vendors provide the government with an irrevocable license to use their AI systems for any lawful purpose. Additionally, the GSA requires vendors to ensure that their AI tools do not manipulate responses in favor of ideological dogmas such as diversity, equity, and inclusion.
This proposed guidance follows a public split between the Defense Department and AI company Anthropic over the use of the Claude AI system, leading to a government ban on Anthropic products, set to take effect later this year. This designation has been challenged by Anthropic in court, with further changes to GSA guidelines expected in the coming weeks.
AI’s Impact on Workplace Productivity
The Wall Street Journal reports that the integration of AI in the workplace may be increasing workloads rather than alleviating them. Data from over 164,000 workers collected by ActivTrak indicates that the time spent on email and messaging apps more than doubled with the use of AI tools. Time spent using HR or accounting software also rose by 94%.
Interestingly, AI use was linked to a 9% decrease in focused, uninterrupted work time. An ActivTrak official suggested that any time saved through AI is quickly repurposed into other tasks, often at the expense of worker focus. While AI proponents have claimed that the technology enhances efficiency and could lead to shorter workweeks, these findings suggest caution in large-scale AI adoption.
Nvidia’s Open-Source AI Initiative
Nvidia plans to invest billions in developing its own open-source AI models, as reported by WIRED. The company has announced a $26 billion budget over the next five years for this endeavor. Their newly released Nemotron 3 Super model, featuring 128 billion parameters, claims performance on par with OpenAI’s largest models.
This strategic move positions Nvidia not only as a leading AI chipmaker but also as a direct competitor in the AI development space, aligning itself with other companies that have released open-source models. An Nvidia executive indicated that these models will also aid in improving their chips and datacenters.
Regulatory Challenges in China
In China, the viral success of the AI agent OpenClaw has strained government efforts to regulate AI technology. OpenClaw, which powers the Moltbook AI social network, has prompted major companies like Tencent and Alibaba to launch compatible AI tools, while local governments offer subsidies for startups utilizing this technology.
However, the central government in Beijing struggles to keep pace with these advancements while attempting to impose stricter regulations. A government-affiliated entity plans to test OpenClaw later this month and develop usage standards, as concerns grow over potential security vulnerabilities.
Emerging Gig Economy in AI
According to the Los Angeles Times, a new gig economy job is emerging that involves training AI models for robotics. Hundreds of California residents are now capturing footage while performing daily tasks, which is used to train physical AI systems that operate robotic arms and devices. One startup, Scale AI, has amassed over 100,000 hours of this data, indicating a growing market for such data collection.
While some criticize this method of data collection as exploitative, many workers are drawn to these opportunities amid economic uncertainty. This innovative approach to data capture is anticipated to evolve into one of the largest sectors within the gig economy.
