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Anthropic launches powerful new models ahead of Wall Street debut

Fable 5.2 and Mythos 5.2 can perform up to 30% faster than previous versions, particularly on complex tasks such as coding.

Anthropic launches powerful new models ahead of Wall Street debut

Anthropic announced on Monday the launch of updated versions of two of its most powerful artificial intelligence models, Fable 5.2 and Mythos 5.2, ahead of its anticipated IPO this month. The new models are reported to perform up to 30% faster than previous versions, while costing 20% less. Fable 5.2 has built-in safeguards that restrict it to most cybersecurity and biology tasks, allowing Anthropic to offer it to all users.

In contrast, Mythos 5.2 has fewer restrictions and is only available to vetted organizations working in cybersecurity or biomedical research.

The announcement comes as Anthropic prepares for its initial public offering, which is expected to raise up to $100 billion and value the company over $1 trillion. The Wall Street debut is viewed as a key indicator of the longevity of the ongoing AI spending boom in the US economy. Anthropic's revenue reached $17 billion in the third quarter, up from $1.4 billion a year earlier, but its operating loss was $567 million during the same period due to increased costs for computing capacity.

Despite the IPO potential, Anthropic faces challenges in a competitive market, with major players like OpenAI and China's AI industry offering cheaper models. The company's valuation has also been impacted by a broader market pullback following a series of quarterly earnings reports and growing concerns about potential regulatory changes amid Democrats regaining control of Congress.

Ballot measures restricting data center construction could further hinder the growth prospects of AI developers, including Anthropic and its competitors like OpenAI, Meta, Microsoft, and Google.

Written by urgent.news from Free Malaysia Today's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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