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

**[MIT Technology Review](https://daily.dev/sources/technologyreview)** · 6 min read · 1 upvotes · 0 comments

## Summary

MIT Technology Review's daily newsletter covers AI agents as a promising template for scientific discovery (arguing they outperform AlphaFold-style models by modeling iterative research), the rise of the 'censorship-industrial complex' theory in US policy, Amazon's Texas data center potentially becoming the US's most polluting power plant at 33 million tons of CO2, OpenAI pausing its Astra AI model over autonomous cyberattack risks, North Korean hackers using AI for spear-phishing, China controlling 97% of global humanoid robot shipments, and other tech news briefs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.technologyreview.com/2026/08/10/1141526/the-download-ai-agents-science-censorship-industrial-complex>

## Questions this post answers

### Why did OpenAI pause development of its Astra AI model?

OpenAI paused work on Astra after internal tests found the model could launch cyber-attacks autonomously, raising security concerns significant enough to halt further development. Critics have noted such disclosures could also serve to generate hype around the model's capabilities rather than purely reflect safety caution.

_Developers weighing AI model safety tradeoffs can follow security disclosures like this one on daily.dev._

### How are North Korean hackers using AI in cyberattacks?

North Korean state-linked hacking group Kimsuky has built AI tools used in spear-phishing campaigns, according to a cybersecurity firm report. The tools can help automate attacks and analyze stolen data, expanding the scale and efficiency of the group's operations beyond manual phishing efforts.

_Security teams tracking AI-enabled threat actors can stay current on incidents like this via daily.dev._

### Why might AlphaFold not be the best template for using AI to accelerate scientific discovery?

AlphaFold relied on a dataset of roughly 170,000 experimentally validated protein structures that took 53 years and about $21 billion of experimental work to build, a scale of data that is difficult or impossible to replicate in most other scientific fields. AI agents that model the iterative human research process, rather than applying a narrow trained model, may generalize better across fields lacking such datasets.

_Researchers exploring AI agents for scientific work can follow this debate further on daily.dev._

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---

Tags: [#ai](https://daily.dev/tags/ai), [#cyber](https://daily.dev/tags/cyber), [#open-source](https://daily.dev/tags/open-source), [#ai-agents](https://daily.dev/tags/ai-agents)

[View this post on daily.dev](https://daily.dev/posts/the-download-ai-agents-for-science-and-the-censorship-industrial-complex--62rakwmnl)

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