Tech

Federal Reserve Chair Jerome Powell and Treasury Secretary Scott Bessent met with top U.S. bank executives to discuss cybersecurity risks associated with Anthropic’s new AI model, Claude Mythos Preview. The meeting highlights growing concerns about advanced AI’s potential misuse. Discussions focused on threat assessment, regulatory frameworks, industry collaboration through initiatives like Project Glasswing, and incident response to safeguard the financial system.

Alibaba has officially claimed development of HappyHorse-1.0, an AI video generation model that quickly topped global leaderboards. This move signifies a major step in Alibaba’s AI expansion. The model, initially unbranded, excelled in text-to-video and image-to-video generation, sparking widespread speculation. Alibaba’s stock saw an increase following the confirmation, underscoring the strategic importance of AI for the company amidst intense competition and challenges faced by other tech giants in the generative video space.

TSMC reported record first-quarter revenue of NT$1.13 trillion, driven by soaring demand for AI chips. The company’s March revenue surged 45.2% year-on-year. Despite geopolitical concerns, the AI segment is a key growth driver. TSMC’s advanced manufacturing capabilities, coupled with recent price increases, contributed to its strong financial performance, surpassing analyst expectations and reinforcing its dominant position in the semiconductor industry.

The EU’s aggressive enforcement against major tech firms is causing a significant rift with the U.S. The EU has levied billions in fines since 2024 for alleged antitrust and digital regulation violations. The U.S. views this as protectionism hindering innovation, while the EU insists it’s necessary for fair competition and consumer protection. This divergence highlights fundamental disagreements on digital regulation, innovation, and competition in the digital age.

Alibaba Cloud is investing heavily in “world models,” moving beyond text-based LLMs. These models aim to simulate reality using multimodal data. Alibaba led a 2 billion yuan investment in ShengShu, a startup developing a general world model for bridging digital and physical realms, exemplified by their Vidu AI video tool. This strategy aligns with Alibaba’s broader push into embodied intelligence and AI grounded in physical space, signaling a significant shift in AI development.

OpenAI has informed investors that rival Anthropic is “compute constrained” with a smaller operational capacity. OpenAI projects significantly more compute power by 2030 than Anthropic estimates for 2027, highlighting a perceived advantage. This competitive stance occurs as both companies, valued over $1 trillion, prepare for potential IPOs. Anthropic is focusing on specialized applications and cybersecurity, while OpenAI emphasizes its strategy of leveraging vast compute for model advancement and cost reduction, aiming for broader AI accessibility.

Amazon CEO Andy Jassy’s shareholder letter signals a strategic pivot, emphasizing aggressive investments in AI, faster delivery, robotics, and satellite internet. Despite concerns over high capital expenditures potentially impacting free cash flow, Jassy defends these “once-in-a-lifetime” AI bets, citing customer commitments and significant future growth potential. The company’s history of bold bets suggests these investments are crucial for long-term profitability, urging investor patience.

Businesses are adapting their enterprise software strategies in the AI age. While not abandoning giants like Salesforce, companies like Blavity are seeking cost-effective AI-driven solutions, potentially shifting away from some core CRM functions. However, they often retain services like Slack due to integration complexities. Salesforce emphasizes AI integration, citing Agentforce’s success and financial outlook, while acknowledging AI’s disruptive potential. Despite stock volatility, analysts remain largely bullish, believing established vendors will continue to play a crucial role for large enterprises navigating AI adoption.

OpenAI introduces a new $100/month ChatGPT Pro tier, significantly increasing usage limits for its AI coding tool, Codex. This move intensifies competition with rivals like Anthropic and caters to developers needing extensive coding capabilities. The expanded subscription structure reflects the booming AI coding assistant market, with OpenAI aiming to maintain its leadership.

Meta has launched its new AI model, Muse Spark, marking a significant step after substantial investments and hiring. Unlike its previous open-source Llama models, Muse Spark is proprietary, aiming to generate revenue through paid API access. While competitors have already established strong market positions, Meta’s key advantage lies in its vast user base, with analysts suggesting the model’s primary monetization will be through enhancing advertising effectiveness and targeting.