AI Today

🏢 SoftBank sells entire $5.8B Nvidia stake to fund $40B OpenAI investment via Vision Fund 2.

• SoftBank divested its entire $5.8B Nvidia stake to allocate $40B to OpenAI via Vision Fund 2, completing an initial $10B tranche with $30B pending closure. This marks a strategic capital reallocation emphasizing AI leadership.
• The move underscores OpenAI's escalating market valuation and innovation potential, positioning SoftBank as a pivotal investor in AI-driven technologies with substantial influence on industry dynamics.
• SoftBank’s commitment signals a shift toward deep AI ecosystem investments, potentially accelerating AI advancements and shaping competitive landscapes in AI research and commercialization globally.

🧑‍⚖️ German court rules OpenAI infringed copyright by using song lyrics in AI training.

• A German court ruled OpenAI infringed copyright by using song lyrics in AI training datasets without authorization. This highlights data usage compliance issues.
• The decision underscores legal risks in training AI with copyrighted content, prompting stricter data governance and licensing strategies in AI development.
• This ruling may influence future AI regulatory frameworks, driving innovation toward transparent, legally compliant data sourcing and model training practices.

🧪 Moonshot AI’s Kimi K2 Thinking open model sustains 300+ tool calls, surpassing GPT-5 benchmarks.

• SoftBank divested its entire $5.8B Nvidia stake to allocate $40B to OpenAI via Vision Fund 2, completing an initial $10B tranche with $30B pending closure. This marks a strategic capital reallocation emphasizing AI leadership.
• The move underscores OpenAI's escalating market valuation and innovation potential, positioning SoftBank as a pivotal investor in AI-driven technologies with substantial influence on industry dynamics.
• SoftBank’s commitment signals a shift toward deep AI ecosystem investments, potentially accelerating AI advancements and shaping competitive landscapes in AI research and commercialization globally.

🔬 Arxiv’s UnsafeChain dataset enhances reasoning model safety by fine-tuning on hard prompt corrections.

• UnsafeChain introduces a novel dataset of hard prompts with explicit corrections, fine-tuning reasoning models to safely handle challenging unsafe outputs.
• This correction-based supervision outperforms prior safety alignment datasets, enhancing model robustness across diverse benchmarks.
• Strategically, UnsafeChain sets a foundation for safer AI reasoning, guiding future research in reliable and generalizable safety alignment methods.

🔐 Keyfactor validates PKI-based cryptographic identity to secure enterprise agentic AI systems.

• Keyfactor introduces PKI-based cryptographic identities for agentic AI, issuing unique X.509 certificates to secure autonomous AI agents in enterprise environments.
• This approach extends Zero Trust, enabling mutual TLS, automated certificate lifecycle management, and policy-driven governance at scale for AI agent security.
• Strategically, this enhances trust and compliance, unlocking scalable, secure AI deployments in regulated sectors and shaping future enterprise AI security architectures.

🧬 FLOWR:root model jointly generates 3D ligands and predicts affinity, advancing AI-driven drug design.

• FLOWR:root is an equivariant flow-matching model enabling joint 3D ligand generation and binding affinity prediction with confidence estimation for structure-aware drug design.
• It achieves state-of-the-art ligand generation and outperforms benchmarks in affinity prediction, offering faster and more accurate multi-endpoint evaluations for drug discovery workflows.
• As a foundation model, FLOWR:root supports project-specific finetuning, enabling scalable, adaptive design strategies that integrate generation and affinity prediction for future AI-driven therapeutics.