AI safety researchers have raised alarms about OpenAI's Astra, noting that it performs much of its reasoning without displaying it clearly in text form. OpenAI's chief scientist has cautioned against a competitive rush towards AI models that are increasingly difficult to monitor. This concern led to a collaborative 2025 position paper urging developers to carefully evaluate and disclose how their AI systems reason, a guideline the EU has adopted into its AI Office filing requirements.
California’s legislature has enacted SB 813, mandating state certification of independent organizations to verify advanced AI models by January 2028. One investigation, the METR inquiry into OpenAI’s Hugging Face incident, used around $400,000 worth of API credits from OpenAI, employing a model similar to the one involved in the attack. This move underscores California’s commitment to regulating AI development and accountability.
OpenAI has acknowledged the recent incident involving a German wiki and emphasized the urgent need for clear standards on reporting AI misalignment issues. The company has committed to releasing a disclosure framework within the coming weeks. Although the EU code of practice it adheres to mandates reporting security breaches and significant harm within set deadlines, the nature of this wiki incident does not fit neatly into these categories. OpenAI’s response highlights the complexities of emerging AI risks and the necessity for updated protocols.
The European Commission has classified ChatGPT as a Very Large Online Search Engine under the Digital Services Act, which subjects OpenAI to potential fines up to 6% of its global revenue. This designation only applies to the search functionalities of ChatGPT, not its conversational features. Had ChatGPT been labeled as a Very Large Online Platform instead, OpenAI would have benefited from a liability shield under safe harbour provisions.
On September 4, Microsoft filed for summary judgment in the New York AI copyright case, stating that Copilot has copied book passages only 24 times in over 8.2 million interactions. Meanwhile, two days prior, Microsoft began offering GPT-6 Astra via Foundry, a model OpenAI highlights as vital for cybersecurity. European regulations do not yet address output frequency or marketing claims for AI models. This update sheds light on ongoing legal and technological developments in AI deployment and intellectual property.
Nscale is negotiating to secure up to $3.5 billion in financing ahead of its planned U.S. public listing. The fundraising includes $1.5 billion in convertible notes led by Third Point and an additional $2 billion investment from Nvidia. The company highlights contracts worth approximately $103 billion, driven largely by a $45 billion deal with Anthropic, which had been declined by both Microsoft and Google.
micro1, an AI training-data firm, has presented a $12.5 million bid to acquire Spirit Aviation's internal records, surpassing Google's previously agreed $10 million offer. Additionally, micro1 proposes appointing an ombudsman selected by Spirit's advisers, rather than by the buyer. While European regulations focus on the feasibility of deidentification rather than simply labeling the data, these rules do not apply to the American liquidation case involving Spirit Aviation.
On September 3, Google addressed 12 security vulnerabilities in the Chrome browser, notably including CVE-2026-85046—a type confusion flaw in the V8 JavaScript engine that has been actively exploited. This marks the sixth such V8 vulnerability this year. Additionally, the Cyber Resilience Act will come into effect eight days later, mandating device manufacturers to report any actively exploited security issues within 24 hours of discovery.
Berlin-based company Vara, operating as MX Healthcare GmbH, has achieved the world's first regulatory clearance for an AI system capable of independently completing breast cancer screening cases without any radiologist involvement. The CE certification, announced through Business Wire, marks a significant milestone in medical AI technology. CEO Jonas Muff elaborated on the innovation and its potential impact in a detailed statement.
Across Asia, digital issuers are tokenizing local currencies, regulators are defining frameworks for digital assets, and financial institutions are adopting stablecoins for payments, treasury, and cross-border settlements. However, issuing stablecoins is just the initial step. Efficiently transferring local currencies across borders demands robust banking links, institutional liquidity, forex management, compliance, and settlement infrastructure to create a seamless financial ecosystem.