#AI

Eli Lilly has acquired rights to Insilico Medicine’s AI-discovered drug pipeline in a $2.75 billion deal. This significant partnership highlights AI’s growing role in drug discovery. The agreement includes an upfront payment and future royalties, reflecting the innovative nature of the collaboration. Insilico, a leader in AI-driven drug discovery, has numerous candidates in clinical trials. This deal leverages Lilly’s expertise with Insilico’s AI platform, aiming to accelerate the development of new therapies and reinforce Lilly’s expansion into the Chinese market.

Meta’s $2 billion acquisition of AI startup Manus, with Chinese roots, has triggered a regulatory review by Beijing. This move signals China’s intent to curb talent and business exodus, scrutinizing the “Singapore washing” model previously used to navigate U.S.-China tech tensions. The review, including founder travel restrictions, casts doubt on offshore structuring viability, forcing founders to re-evaluate strategies amidst escalating tech rivalry.

A Jeffrey Epstein survivor has filed a class-action lawsuit against the Trump administration and Google, alleging wrongful disclosure of victim information by the Justice Department and its subsequent republication by Google’s AI. The suit challenges Section 230 protections, arguing AI’s role in disseminating sensitive data causes renewed trauma and harassment. This action coincides with other AI-related scrutiny of Google and raises questions about platform accountability and potential legislative changes to Section 230.

Cybersecurity stocks plummeted following reports of Anthropic’s advanced AI model, “Mythos,” which possesses enhanced cyber capabilities but also potential security vulnerabilities. The news, highlighting the dual-use nature of sophisticated AI, led to significant drops in major cybersecurity firms’ stock prices. This development underscores the evolving threat landscape and the challenges facing the sector in adapting to AI’s disruptive influence.

Venture capitalist David Sacks is moving from “AI and crypto czar” roles to a broader position on the President’s Council of Advisers on Science & Technology (PCAST). Having fulfilled his previous special government employee tenure, Sacks will now co-chair PCAST, advising on a wider range of technology policy and innovation. His Silicon Valley background and recent divestment of digital assets position him to shape national technology strategy, research funding, and public-private partnerships.

OpenAI’s new advertising business has rapidly generated over $100 million in annual recurring revenue, less than two months after launching its pilot program. The company is now expanding testing to Canada, Australia, and New Zealand. OpenAI emphasizes its commitment to user trust and privacy, with ads discreetly placed and ethical considerations guiding their implementation. This success highlights the growing economic potential of AI-driven platforms.

A federal judge has granted AI startup Anthropic a preliminary injunction against the Trump administration’s blacklisting, pausing the Pentagon’s designation of Anthropic as a supply chain risk. The ruling effectively allows Anthropic to continue its work with federal agencies while litigation proceeds. The judge criticized the administration’s actions as illegal First Amendment retaliation, stating the government’s stance was an “Orwellian notion.” Anthropic expressed gratitude and a commitment to working productively with the government.

Meta faces significant legal challenges as recent jury verdicts highlight platform risks, particularly concerning child safety and mental health damages. These rulings, coupled with lagging AI development and substantial investments, have raised investor concerns. The outcomes may also prompt a re-evaluation of Section 230, potentially increasing platform liability and impacting the future of online content regulation.

The White House hosted its first humanoid robot, Figure 3, at a summit on children’s education, showcasing AI advancements. First Lady Melania Trump highlighted the robot’s potential for personalized learning. Figure AI, a startup, secured significant funding and is collaborating with BMW. The company also faces a lawsuit regarding robot safety concerns.

Traditional RPA excels at automating structured, rule-based tasks, but struggles with complex, unstructured data. The evolution towards AI-powered automation, integrating machine learning and LLMs, allows systems to handle variability and context. Rather than replacing RPA, AI augments it, creating a hybrid “intelligent automation” model. This phased transition leverages RPA’s precision for stable processes and AI’s adaptability for dynamic ones, optimizing operational efficiency.