EU Reaches Agreement to Delay and Ease AI Act Rules
EU countries and European Parliament lawmakers have reached a provisional agreement to delay and soften parts of the bloc’s AI Act, according to Politico. The deal follows overnight negotiations and marks the first major postponement of digital regulations in the European Union.
Under the agreement, rules governing high risk uses of artificial intelligence will be postponed until December 2027. The delay gives companies more time to comply with requirements such as watermarking AI generated content, which will now have a three month grace period instead of six.
The new compromise also exempts industrial applications of AI from the AI Act’s scope, allowing them to remain under existing machinery regulations. This exemption was supported by Germany to prevent overlapping obligations for companies such as Siemens and Bosch.
The deal includes a ban on AI systems that create sexualized deepfakes or unauthorized explicit images of identifiable people. These prohibitions respond to incidents involving AI tools generating intimate or abusive content. The agreement still requires formal approval by EU governments and the Parliament before it becomes law.
The European Union's AI Act initially came into force in August 2024, with a phased rollout of provisions intended to regulate high risk AI systems and protect users across member states.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 2 California Keeps AI Terminology Despite Federal SI Order Oct 2 Oversight Board Calls for Independent AI Governance Oct 2 MPTF Coalition Seeks Platform Liability for AI Scams Oct 2 Trump Consulted Grok Before Maduro Capture, Report Says Oct 1 RFK Jr. says AI can give patients better medical second opinionsAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
OpenAI Chief Scientist Calls for Slower AI Scaling
UN Rights Chief Calls for Global AI Safety Guarantees
House Democrats to Prioritize AI Action at Tuesday Meeting
UK Calls for Global AI Safety Standards at UN
Sanders and Casar Propose Ban on AI Superintelligence
Daily AI Brief: the AI news that matters, in your inbox.