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Morning links — October 7, 2026

by LizDiscuss

A restaurant bankruptcy reveals the cost of emergency cash <Restaurant Business>
About a quarter of True Food Kitchen’s $42 million-plus debt came from alternative advances, including arrangements repaid through delivery orders and discounted meals.

Google’s nuclear power deal has a much larger, less nuclear companion <The Verge>
Google’s deal with Constellation promises 890 megawatts of added nuclear capacity; a separate agreement for 2,700 megawatts of existing power is not limited to nuclear plants.

Uber pays $2.3 billion for a seat at the office lunch table <TechCrunch>
Uber is buying ezCater to reach workplace meal budgets; the platform had $2.5 billion in gross bookings—not revenue—over the past year, according to Uber.

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Internal memos

Internal memo from CEO Sundar about Google’s Gemini

by LewDiscuss

From: Sundar Pichai

To: Google

—

“Hi everyone I want to address the recent issues with problematic text and image responses in the Gemini app (formerly Bard). I know that some of its responses have offended our users and shown bias — to be clear, that’s completely unacceptable and we got it wrong.

Our teams have been working around the clock to address these issues. We’re already seeing a substantial improvement on a wide range of prompts. No Al is perfect, especially at this emerging stage of the industry’s development, but we know the bar is high for us and we will keep at it for however long it takes. And we’ll review what happened and make sure we fix it at scale.

Our mission to organize the world’s information and make it universally accessible and useful is sacrosanct. We’ve always sought to give users helpful, accurate, and unbiased information in our products. That’s why people trust them. This has to be our approach for all our products, including our emerging Al products.

We’ll be driving a clear set of actions, including structural changes, updated product guidelines, improved launch processes, robust evals and red-teaming, and technical recommendations. We are looking across all of this and will make the necessary changes.

Even as we learn from what went wrong here, we should also build on the product and technical announcements we’ve made in Al over the last several weeks. That includes some foundational advances in our underlying models e.g. our 1 million long-context window breakthrough and our open models, both of which have been well received.

We know what it takes to create great products that are used and beloved by billions of people and businesses, and with our infrastructure and research expertise we have an incredible springboard for the Al wave. Let’s focus on what matters most: building helpful products that are deserving of our users’ trust.

-Sundar”

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