Searching for Cancer Cures Is Part of Google’s AI Story. It Deserves to Be More Than a Footnote


One hour and 45 minutes into the Google I/O keynote, I suddenly sat upright in my chair. The CEO of Google DeepMind and Alphabet’s Isomorphic Labs, Demis Hassabis, was on stage talking about Gemini for Science and the work his team is doing to solve meaty, difficult real-world problems with AI. It’s important, compelling stuff, and I was hooked immediately. 

In case you didn’t stick around until the very end, here’s what you need to know: Google is predicting the path of hurricanes to put early-warning systems in place at a time when climate change is making extreme weather more unpredictable than ever — and as the government is defunding National Oceanic and Atmospheric Administration. It’s creating digital twins of the planet to tackle deforestation and food insecurity. It’s in the preclinical stage for multiple medical projects, including treatments for immune disorders and cancer.

Amid the ongoing slopification of the internet and the looming threat of mass unemployment, it’s easy to forget that there are a handful of indisputably noble reasons for AI to exist. None are obviously profitable, of course, but surely they deserve to be more than a mere footnote in Google’s I/O agenda?

Perhaps this last-minute mention of Gemini for Science was a Hail Mary attempt to leave things on a positive note after over 100 minutes of talk about incremental improvements to AI models that the wider world never asked for. But more likely, it simply speaks to how Google (de)values this work in comparison to the search, shopping and generative AI tools that occupied the bulk of the keynote.

gemini science demo during google i/o 2026 event shows a predictive path of hurricanes.

Google is mapping the path of hurricanes to keep people safe.

Google/Screenshot by CNET

It feels like an oversight — not only because this work should be a moral priority, but also because AI isn’t exactly universally beloved outside Silicon Valley. Showing how it can genuinely benefit humanity could provide a sorely needed reputational boost for this technology, which many people are skeptical of and even, justifiably, fear.

Google wants people to be excited about AI that can plan a block party for them, and it’s a big ask. Many of us are more worried about the potential for our block parties to be ruined by an AI data center being built in our neighborhoods. 

But do you know what might actually get people excited about AI? The potential of curing, or at least more effectively treating, cancer.

I’ve read endless interviews with Hassabis over the years and have seen him speak at events. It’s clear that pursuing AI for its medical benefits is where his real passion lies. 

“I’ve always believed the number one application of AI should be to improve human health,” he said at I/O. This is a man who won the Nobel Prize for Chemistry, who has pioneered new tools for drug discovery and who, I believe, has genuinely honorable intentions for using AI to solve the health challenges of our time. 

demis hassabis gives gemini science demo at Google I/o 2026 event

Using AI to simulate the world can help solve some of Earth’s most pressing problems.

Google/Screenshot by CNET

I question the wisdom, then, of Google also putting him on stage to announce a new generative video model that has no obvious benefit to humanity. In the future, Hassabis could well be a household name, hailed as among the truly impactful scientists of this generation. But he needs to be allowed to get on with it, to direct his talent and passion toward things we all agree matter.

If Hassabis succeeds in his missions, Google will get its flowers too. The company could one day be credited with bankrolling his breakthroughs at a time when scientific funding was harder to come by than ever. But it means playing the long game rather than living from one financial quarter to the next. It means being prepared to prioritize good-for-humanity efforts that require an endless font of money, but provide few, if any, benefits to shareholders.

Google should be shouting from the rooftops about the work Hassabis’ team is doing through DeepMind and Isomorphic Lab and prioritize it above shopping on your phone. Gemini for Science should be the headline, not an afterthought.





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Google Gemini

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ZDNET’s key takeaways

  • Google is downloading a 4GB file to the PCs of many Chrome users.
  • The file is harmless and is used for the Gemini Nano on-device LLM.
  • You’ll see it if you’ve opted into the on-device AI setting in Chrome.

Google is silently saving a Chrome-related file to many computers. That’s nothing earth-shaking. But this file is a hefty 4GB in size, which has caught the attention of some Google watchers. What is the file, why is it being installed, and how can you check for it?

Also: I let Chrome’s AI agent shop, research, and email for me – here’s how it went

In a new blog post, computer scientist Alexander Hanff, aka the Privacy Guy, pulled back the curtain on this mysterious file. Named weights.bin, the file is being downloaded deep within the user data folder of many Chrome users. The file itself is related to Gemini Nano, which Google is using as the on-device AI model for Chrome users.

If you delete the file, it comes back

Though there’s nothing risky or dangerous about the file, Hanff and others have expressed concerns that it’s being downloaded without users’ knowledge or permission. And if you delete the file, it eventually comes back, Hanff said. That by itself is hardly alarming; that’s part of any software update. Rather, some of the criticism centers on the file’s size. If you have ample hard disk space, then 4GB is likely not a big deal. But if you’re running low, that big a file might chew up space you can’t spare.

Traditionally, AI models like Gemini use the cloud to interact with you. Submit a request, ask a question, or kick off a conversation, and the AI taps into its online data and resources to respond. But that method can be slow and naturally requires that you be connected. By traveling between your device and the cloud, your data can also be exposed.

A trend has emerged in which companies are experimenting with locally stored LLMs (large language models). That not only speeds up the process, but it also means you can use the AI offline and more securely. Gemini Nano has already been in play on Google’s own Pixel phones.

That explains why the file is so large; it has to pack in a lot of data. In this case, a weights file contains numbers that measure the level of importance an AI model assigns to your input. The AI uses these values to determine what should come next. For example, let’s say you start typing the phrase “Why did my new phone cost me an arm and a…” at the prompt. The AI assigns weights to your input to help it predict that the next word would be “leg.”

Also: This powerful Gemini setting made my AI results way more personal and accurate

How can you tell if the file has been downloaded to your PC? First, open Chrome, go to Settings, and select System. On the System screen, check whether the On-device AI option is turned on. If so, then you probably have the file or will soon get it.

To double-check, you’ll have to navigate to the user folder on your PC. That location varies based on your operating system. On my Windows 11 PC, I ran a search in File Explorer for weights.bin. The search took a long journey through the following path: C:\Users\lance\AppData\Local\Google\Chrome\User Data\OptGuideOnDeviceModel\2025.8.8.1141. At that final location, the weights.bin file appeared, measuring 4GB.

Since the file is downloaded again if you simply delete it, you’ll have to take an extra step to get rid of it permanently. After you delete the file, go back to Settings in Chrome and select System. Then  turn off the switch for On-device AI.

But as long as you have enough disk space (and if you can’t spare 4GB, then it’s time to clean up your drive), the file is little cause for concern. Just forget about it, especially if you’re keen to try on-device AI, and we’ll see what the future holds for Gemini Nano.





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