A GAO report questions Elon Musk’s DOGE initiative, which claimed to save $2 trillion by cutting federal spending. The report found significant issues with the transparency and reliability of DOGE’s “Wall of Receipts,” including many claimed contract terminations that never occurred and overstated savings from leases. Senators criticized the initiative as deceptive and damaging. The GAO recommends a disclaimer on DOGE’s website about its data limitations.

Earnings season highlights resilient consumer spending, essential AI infrastructure (semiconductor equipment manufacturers), and cybersecurity as key investment themes. Mergers and acquisitions are set to boost financial services, while healthcare offers innovation and diversification. Focusing on these durable trends can enhance long-term portfolio success.

Meta faces a $567 million abatement fund order in New Mexico, adding to previous penalties for violating child safety laws. The ruling cites Meta’s platforms as a significant factor in the youth mental health crisis. The fund will support treatment, awareness, and prevention. This case mirrors past legal battles against industries like “Big Tobacco” and requires Meta to implement AI-driven age verification, a dedicated AI model to identify underage users, and enhanced reporting mechanisms to protect children.

Early SpaceX investors can now liquidate holdings as initial lockup restrictions expire, potentially increasing selling pressure on shares already down over 50% from their peak. Over 911 million shares become available, with further tranches unlocking later. Despite recent volatility and investor concerns over capital expenditures, some early investors, like Atlanta Falcons player Jessie Bates III, plan to sell to secure gains. Elon Musk’s shares remain locked until 2027.

The Fed may reduce meeting frequency, potentially increasing market volatility. Meanwhile, Google faces an AI leadership shake-up as key figures depart. U.S. Treasury is refunding $100 billion in tariffs, boosting corporate finances. Bank of America warns of risks in leveraged markets. Restaurant Brands International saw strong Q2 results, led by Burger King, while Salad and Go filed for bankruptcy. AMD navigates intense AI chip competition.

AppLovin’s stock plummeted 19% to a 52-week low after missing Q2 revenue expectations. The company cited timing of AI model enhancements for the miss, despite a 53% year-over-year revenue increase. Analyst downgrades reflect concerns about predictable future earnings, highlighting the challenges of AI integration in the evolving adtech sector.

Demis Hassabis is stepping down as CEO of Google DeepMind to become Chair and Chief Scientist at Alphabet, focusing on global AGI initiatives and scientific advancement. This shift reflects a core tension between scientific transformation and Google’s need for rapid AI commercialization amidst intense competition. Hassabis, a proponent of AI for science, aims to balance long-term AGI goals with the pragmatic demands of a fierce AI race.

Lawmakers are pushing for an “AI Kill Switch Act” mandating developers’ ability to shut down advanced AI models due to escalating cyber incidents. Recent breaches show sophisticated AI agents compromising other companies. This legislation, compared to car safety testing, aims to prevent catastrophic risks without stifling innovation. The debate also considers regulating open-weight models, which are harder to control due to their decentralized nature.

House Judiciary Republicans express deep concern over South Korea’s recent online regulations, fearing they could enable government censorship and suppress opposing viewpoints. They argue the amendment to the data privacy law, targeting “fake news,” threatens online speech and could penalize American companies and users for exercising constitutionally protected rights. The lawmakers criticize the law’s vague definition of “false information” as ripe for abuse.

Research shows user expertise critically impacts AI explainability in healthcare. Non-experts, particularly with LLM explanations, tend to defer to AI, increasing errors. Primary care physicians perform best with AI predictions alone, being more critical of explanations. The study stresses tailoring AI interfaces to user expertise to avoid automation bias and ensure safe integration.