30 companies just formed an AI security alliance! The 3 biggest labs aren't in it

• The Model Context Protocol (MCP), which allows AI assistants to integrate with company tools and data, has undergone its most significant revision since launch. • The final technical specification for this major rewrite was released on July 28 to address scaling challenges and operational "headaches" for maintainers.

• India is implementing the National Cyber Crisis Management Framework to address unprecedented cyber threats emerging from the country's rapid digital transformation. • The government has introduced the Cyber Shikshit Bharat initiative, which evolves previous awareness programs to focus on skills development and indigenous innovation.

• On August 1, 2026, over 1,000 employees from top AI labs, including OpenAI, Anthropic, Google DeepMind, Meta, and Mistral, signed a joint statement titled "Pacing the Frontier." • The signatories are calling on the U.S. government to lead an international effort to develop technical and governance tools to deliberately slow down automated AI development.

• SemiAnalysis, a research firm specializing in chips and AI infrastructure, is raising a $400 million venture fund according to a U.S. SEC filing. • The move allows the firm to transition from providing research to directly investing in the industries it tracks, building on founder Patel's existing stakes in 20 startups, including Enfabrica and Thinking Machines Lab.

• A July report from Goldman Sachs reveals that AI infrastructure investment is expanding beyond major hyperscalers to include neoclouds, sovereign projects, and broader enterprise adoption. • The report highlights key deals involving companies such as Meta and IREN, signaling a diversified growth pattern in AI computing capacity.

• Asia is entering a $5 trillion energy investment "supercycle" as the rapid expansion of AI-driven data centers creates an unprecedented surge in power demand. • Morgan Stanley analyst Mayank Maheshwari warns that the region has reached a critical inflection point where energy infrastructure cannot keep pace with AI growth.

• Major technology companies have invested over $1.1 trillion in capital expenditure since the AI boom began in 2023. • This massive spending is driven by an intensifying infrastructure race to build the data centers and hardware necessary for advanced AI.

• Indian startups raised $142.3 million during the final week of July, reflecting a broader funding slowdown characterized by a shift toward more selective investing. • Investors are increasingly prioritizing artificial intelligence, profitable business models, and proven founders over broad venture portfolios.

• The European Commission has launched a competitive funding call to establish seven specialized AI supercomputing centers across the European Union. • This initiative aims to mobilize an estimated €30 billion in total funding by unlocking significant national and private investments.

• Big tech companies have invested over $1 trillion into AI infrastructure, with an additional $745 billion in spending projected for 2026 alone. • Critics argue that these massive investments are focused on "Second Wave" Large Language Models (LLMs), which they claim are fundamentally and systemically flawed.

• Situational Awareness, a high-profile AI hedge fund led by 24-year-old Leopold Aschenbrenner, collapsed this month. • The fund, which was heavily marketed despite Aschenbrenner's lack of prior investment experience, imploded following a broader mass sell-off in the tech sector.