The 10 Biggest Rounds Of March: Anthropic Leads with Massive Round

Anthropic secures a massive funding round, making it a key player in the Artificial Intelligence startup space.

March marked a significant period for big funding rounds, headlined by Anthropic’s massive fundraising achievement. Anthropic, a ChatGPT rival known for its AI assistant Claude, secured a billion-dollar-plus funding round led by Lightspeed Venture Partners. This remarkable financial move briefly positioned Anthropic as the second-most valuable Artificial Intelligence startup globally. Although subsequently overshadowed by xAI’s acquisition of X, the fundraising placed Anthropic with a valuation exceeding several key competitors, signaling its growing influence.

Alongside Anthropic, other technology companies also saw significant investment. Nerdio, a firm aiding IT professionals through automation, garnered substantial equity support from General Atlantic, achieving a valuation over a billion. Meanwhile, Fleetio, focusing on fleet management software, expanded its capabilities through a new funding round that helped in acquiring Auto Integrate.

Fintech and cybersecurity landscapes experienced notable activity as well. Mercury secured a hefty Series C funding round led by Sequoia Capital, while Flock Safety, a public safety tech company, raised funds that highlighted its growth into the billion-dollar valuation club. The flurry of investment rounds across various tech sectors underscores a vibrant ecosystem where startups vie for breakthroughs and market dominance.

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Nvidia to sell fully integrated Artificial Intelligence servers

A report picked up on Tom’s Hardware and discussed on Hacker News says Nvidia is preparing to sell fully built rack and tray assemblies that include Vera CPUs, Rubin GPUs and integrated cooling, moving beyond supplying only GPUs and components for Artificial Intelligence workloads.

Navigating new age verification laws for game developers

Governments in the UK, European Union, the United States of America and elsewhere are imposing stricter age verification rules that affect game content, social features and personalization systems. Developers must adopt proportionate age-assurance measures such as ID checks, credit card verification or Artificial Intelligence age estimation to avoid fines, bans and reputational harm.

Large language models require a new form of oversight: capability-based monitoring

The paper proposes capability-based monitoring for large language models in healthcare, organizing oversight around shared capabilities such as summarization, reasoning, translation, and safety guardrails. The authors argue this approach is more scalable than task-based monitoring inherited from traditional machine learning and can reveal systemic weaknesses and emergent behaviors across tasks.

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