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23andMe Files For Chapter 11: Anne Wojcicki Resigns Amid Struggles to Revive Company

In a bold and unexpected move, 23andMe has filed for Chapter 11 bankruptcy, signaling the company’s struggle to stay afloat amid mounting financial pressure. In its filing with the Eastern District of Missouri federal bankruptcy court, the DNA testing giant revealed it has initiated the process of selling its assets in an attempt to salvage what’s left of its business. Despite the looming uncertainty, 23andMe reassured customers that it would continue operations throughout the asset sale process, emphasizing that there would be no disruptions to how customer data is stored, managed, or protected.

If the bankruptcy court approves its Chapter 11 plan, 23andMe will embark on a 45-day window to solicit bids. If multiple buyers emerge, the company will hold an auction to maximize its value. A key condition for any potential buyer: they must adhere to legal requirements for handling customer data, a significant concern after recent breaches.

In a related shakeup, co-founder Anne Wojcicki, who once helmed the company, has stepped down as CEO. However, Wojcicki isn’t entirely distancing herself from the company—she will remain on 23andMe’s board and is reportedly preparing to bid on the company’s assets herself. Her resignation follows a failed attempt to take 23andMe private. Last month, she made a bid to acquire the company for $2.53 per share, but the deal collapsed when her partner, New Mountain Capital, pulled out. This was followed by a new bid this month, offering just 41 cents per share—a move swiftly rejected by the company’s board. In a statement on X (formerly Twitter), Wojcicki expressed her disappointment, but also her intent to pursue the company’s assets independently, citing her resignation as a strategic move to position herself better for the bidding process.

The Rise And Fall Of 23andMe

Once a market darling, 23andMe went public in 2021 through a merger with a Special Purpose Acquisition Company (SPAC), reaching a market cap of $6 billion. Wojcicki, a co-founder of the company, saw her fortune soar into the billions. But since then, the company’s stock has plummeted by over 99%, as it failed to reach profitability despite its promising start.

Adding fuel to the fire, the company suffered a major data breach in 2023, when hackers exploited recycled passwords to access sensitive user data. The breach involved over a million genetic data points, including information from high-profile individuals, and was shared across hacker forums. The exposed data included genetic ancestry, birth years, and even personal details of well-known tech figures such as Mark Zuckerberg and Elon Musk. In the aftermath, 23andMe settled in court, agreeing to pay $30 million and offer three years of security monitoring to those affected by the breach.

As 23andMe enters its next phase under bankruptcy proceedings, the company faces a steep uphill battle to regain trust and value. The fate of its assets—and its brand—now rests in the hands of potential buyers.

Anthropic’s Opus 5.5 Arrives With Lower Costs, Faster Performance And Sharper Safety Guardrails

Anthropic on Tuesday unveiled Opus 5.5, its latest flagship model and, by the company’s account, a new state of the art in coding and knowledge work.

Opus remains the top tier in Anthropic’s three-model Claude family, positioned above Sonnet and Haiku, which serve the middle and entry-level segments respectively. The company says the new release not only outperforms the larger Fable model on several benchmarks, but also completed a number of informal tasks that Fable could not finish.

A More Efficient Frontier Model

One of the most notable changes is economic, not just technical. Anthropic says output tokens for Opus 5.5 will be priced at $20 per million, down from $25 for the previous version. Other usage metrics have also declined, and the model is faster to run, reflecting lower compute requirements to serve it.

That matters because model economics are increasingly central to enterprise adoption. In practice, a more capable model is only part of the equation; speed and cost often determine whether it can be deployed at scale across software development, research, customer operations, and internal knowledge workflows.

Sharper Communication, Less Jargon

Anthropic says the update also changes how Opus communicates. The new model is less likely to lean on jargon and more likely to lead with the most important information first. For business users, that is more than a stylistic adjustment. It improves readability, reduces friction in decision-making, and makes AI output easier to use in executive settings where time is scarce and clarity matters.

A Rapid Follow-Up To Opus 5

The launch comes just two months after the debut of Opus 5 on July 24. Anthropic said Sonnet 5.5 and Haiku 5.5, the next models in the lineup, will follow “in the coming weeks,” with similar performance gains expected.

Safety Remains Central To The Release

Anthropic says Opus 5.5 is comparable to Mythos in biology and cybersecurity capabilities, which means the model is subject to the same safeguards as the company’s Fable model. Those restrictions limit the model’s use in areas such as discovering exploits in compiled programs or developing recognizable biological weapons, among other sensitive tasks.

The release is also notable because it is Anthropic’s first since CEO Dario Amodei publicly embraced calls to pace the frontier, a strategy designed to slow the rate of capability gains so alignment and safety measures can catch up. In a recent post, Amodei wrote: “I have become convinced that fully addressing the risks requires even more prudence, not just investing in risk prevention, but pacing the rate of capabilities advancement so that risk prevention has time to keep up.”

Preparing The Next Layer Of Oversight

Anthropic said Opus 5.5 underwent safety training broadly similar to earlier models, including alignment testing and pre-release evaluation by external groups such as METR and Frontier Design. At the same time, the company said it is already building more advanced training and evaluation systems for future releases, including stronger security and monitoring infrastructure.

“As AI becomes more capable, public policy should play a larger role in making sure the systems people rely on are safe,” the company wrote in its announcement. “That capacity takes time to build, and we’ve started to put the infrastructure in place to support it. We expect to share more details on these efforts soon.”

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