#AI

Mythos, Anthropic’s AI model, has sparked concerns about AI-driven cybercrime due to its reported ability to find numerous software vulnerabilities. However, cybersecurity experts confirm similar capabilities exist in existing AI models, achievable through sophisticated orchestration. While Mythos highlights the increasing scale of vulnerability discovery, the core threat is already present, intensifying the AI arms race between companies like Anthropic and OpenAI.

French authorities have launched a criminal investigation into Elon Musk and his platform X (formerly Twitter). The probe focuses on alleged algorithmic manipulation influencing French politics and the platform’s alleged facilitation of Holocaust denial and explicit deepfake content generated by Musk’s AI chatbot, Grok. Musk denies the allegations, calling the investigation a “political attack.” The inquiry extends beyond France, with other international bodies also scrutinizing X and Grok.

Data center operator IREN and Nvidia have formed a strategic partnership to deploy up to 5GW of Nvidia’s AI infrastructure. This collaboration includes a five-year option for Nvidia to purchase up to 30 million IREN shares. IREN also secured a $3.4 billion contract with Nvidia for managed GPU cloud services. This deal signifies IREN’s successful pivot from bitcoin mining to the high-growth AI sector, highlighting the crucial role of data center operators in scaling AI technologies.

OpenAI has launched a limited preview of GPT-5.5-Cyber, a specialized AI model for cybersecurity teams. This version offers enhanced flexibility and permissiveness for tasks like vulnerability identification and malware analysis, removing some safeguards present in the general GPT-5.5 model. This move mirrors competitor Anthropic’s strategy with its Claude Mythos Preview, highlighting the growing importance of AI in national security and drawing attention from U.S. policymakers. Both companies are adopting a controlled release approach for these advanced models.

Cloudflare is significantly reducing its workforce by over 1,100 employees, about 20% of staff, citing AI’s transformative impact on operational needs. This decision follows strong Q1 earnings that beat expectations. The company is shifting to an “agentic AI-first operating model,” reallocating resources to AI-centric roles. Despite positive financial forecasts, the market reacted negatively to the news, with shares dropping.

Corning’s investment outlook brightened significantly following CEO Wendell Weeks’ discussion on CNBC about new hyperscale cloud provider agreements. These deals, larger than the previously announced Meta partnership, establish a new baseline of at least $12 billion in strategic partnerships, including one with Nvidia. This risk-sharing model revitalizes American manufacturing and positions Corning for robust future performance, evidenced by its stock surge.

Nvidia CEO Jensen Huang announced a partnership with Corning to boost U.S. manufacturing for AI infrastructure. This collaboration aims to significantly increase domestic optical connectivity capacity, creating over 3,000 jobs and revitalizing critical technology supply chains. Huang emphasized AI’s role as a fundamental global infrastructure pillar and highlighted the opportunity to reshore advanced manufacturing, particularly in optical technologies essential for data center growth. The initiative signifies a strategic move to build a resilient, domestically fortified technological ecosystem for AI innovation.

Datadog’s stock soared 31% after reporting record revenue and raising annual guidance, underscoring its crucial role in the AI revolution by powering major AI models. This positive momentum boosted Snowflake and MongoDB. Datadog secured two major hyperscale clients for AI training. Meanwhile, Twilio’s stock gained 50% on strong earnings, driven by AI agent enhancements offering “memory” for seamless customer service and increased revenue. Both companies demonstrate the value of AI-native solutions in the evolving tech landscape.

Propy, a real estate tech firm, is revolutionizing property transactions with blockchain and AI. They secured $100 million for an end-to-end closing platform, consolidating title and escrow companies. Propy’s AI agent, Avery, streamlines processes, and the GENIUS Act provides regulatory clarity for crypto in real estate. This technology aims to create a fraud-proof, efficient system, reducing closing times from weeks to hours and enhancing global property ownership security.

AI-powered remote monitoring is revolutionizing NHS care, enhancing efficiency and patient independence. Companies like Doccla utilize virtual wards and machine learning to predict patient deterioration, enabling proactive interventions. This technology has led to significant reductions in hospital bed days and GP appointments, while also offering substantial cost savings. By automating tasks and providing personalized insights, AI empowers clinicians and supports patients in managing their health at home, aligning with the NHS’s vision for future healthcare delivery.