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The Download: AI agents for science, and the “censorship-industrial complex”

Plus: A new Amazon data center could become the US’s most polluting power plant. This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. —Eric Schmidt, the former CEO of Google and the cofounder of Schmidt Sciences, and Suhas Mahesh, who […]

By deepak · August 10, 2026 · 3 min read

Plus: A new Amazon data center could become the US’s most polluting power plant.

This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology.

—Eric Schmidt, the former CEO of Google and the cofounder of Schmidt Sciences, and Suhas Mahesh, who leads the AI for science work at the AI Center of Schmidt Sciences

In 2024, Google DeepMind scientists shared the Nobel Prize in Chemistry for a neural network, AlphaFold, which predicts the structures of proteins. It showed that AI could make groundbreaking scientific discoveries, but AlphaFold may not be the best template for accelerating science. Instead, another approach may hold the key: AI agents.

AlphaFold relied on a dataset of roughly 170,000 experimentally validated protein structures that took 53 years and roughly $21 billion worth of experimental work to assemble. Comparable datasets will be difficult or impossible to create in many fields.

AI agents can instead model the iterative, highly contingent process of actual research. While tools like AlphaFold apply a powerful approach to a limited question, agents are inherently generalists. They do not represent a new way to do science—instead, they digitally model the human process of discovery. 

Read the full op-ed on how agents could accelerate scientific discovery.

For years, the idea of a “censorship-industrial complex” that suppressed conservative and populist speech spread in right-wing circles online. But now, the theory has made its way into the Trump administration.

Over the past nine months, MIT Technology Review investigated its origins and traced its rise. In a virtual Roundtables session on Thursday, August 13, senior reporter Eileen Guo and executive editor Amy Nordrum will explore what they discovered, where the theory is going, and what it could mean for the future of democracy and the internet.

Register here to join the session at 19:00 GMT / 2:00 pm ET / 11:00 am PT.

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 A new Amazon data center could become the US’s biggest polluterThe Texas facility has a permit to release up to 33 million tons of CO2. (NYT $)+ It will be Amazon’s first off-grid AI data center. (Cleanview)+ The gas plant will generate up to 7.65 gigawatts of power. (Verge)

2 OpenAI has paused work on its Astra AI model over security concernsTests found it could launch cyber-attacks autonomously. (FT $)+ Critics warn such disclosures could be designed to spark hype. (Guardian)+ AI doesn’t need to be that smart to make online crimes easier. (MIT Technology Review) 

3 North Korean hackers have built AI tools for cyberattacksA new report says they’re used in spear-phishing campaigns. (Al Jazeera)+ They’re attributed to the state-linked group Kimsuky. (Reuters $)+ Which could automate attacks and analyse stolen data. (TNW)

4 China’s firms control 97% of global humanoid shipments Global shipments have more than tripled since last year. (Bloomberg $) + Chinese humanoid manufacturers are racing to public listings. (Reuters $)+ Gig workers are training humanoids at home. (MIT Technology Review)

Source: Read the original article on www.technologyreview.com