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The Nobel Prize in Chemistry – for a breakthrough in the study of proteins

A discovery in the field of proteins earned the Nobel Prize in Chemistry. The discovery solves one of the most difficult problems in biology and could be used to create drugs and vaccines.  Honorees were David Baker and Demis Hassabis. Both work for London-based research lab Google DeepMind, a division of Google. Professor John Jumper also received part of the award.

KEY FACTS

  • David Baker, Demis Hassabis and John Jumper have been awarded the 2024 Nobel Prize in Chemistry for their scientists’ research into the structure of proteins. The prize is worth SEK 11 million ($1.1 million).
  • Demis Hassabis is one of the founders of DeepMind. John Jumper led the development of the protein prediction software AlphaFold, and David Baker is a professor at the University of Washington.
  • Half of the prize was awarded to Baker “for computational protein design,” and the other half was split between Hassabis and Jumper “for protein structure prediction,” the academy said.
  • Proteins are the building blocks of life and are found in every cell of the human body. The discovery solves one of the most difficult problems in biology and could be used to create drugs and vaccines. 
  • This is the third prize awarded this year. Yesterday, the Nobel laureates in physics were announced, and the day before that, discoveries in medicine were honored.

IMPORTANT QUOTE

“The 2024 Nobel Prize in Chemistry is dedicated to proteins – the ingenious chemical weapons of life. David Baker has achieved the almost impossible feat of creating entirely new types of proteins. Demis Hassabis and John Jumper have developed an artificial intelligence model to solve a 50-year-old problem: predicting the complex structures of proteins. These discoveries have enormous potential,” the Nobel Committee said.

KEY STORY 

The Nobel Prize for Medicine was awarded on Monday. The prize went to the discoverers of micro RNA and its role in gene regulation. Yesterday, the distinction for physics went to scientists who made discoveries that give more opportunities to machine learning. John Hopfield of Princeton University and Geoffrey Hinton of the University of Toronto were honored for their pioneering work on artificial neural networks, which underpin much of modern artificial intelligence.

Cloudflare Sets New Default To Separate Search Crawlers From AI Bots

Cloudflare has drawn a sharper line between traditional search and artificial intelligence.

Beginning September 15, 2026, the company will change its default settings to block so-called mixed-use crawlers from pages that run ads, unless a site owner chooses otherwise. The policy applies to new Cloudflare customers, new sites created by existing customers, and all current free customers.

A Clearer Divide In Web Access

The shift could materially reshape how AI companies collect web data for model training and agentic products. Cloudflare’s central argument is straightforward: most publishers want their content to remain visible in search and accessible through certain AI services, but they do not want that same material repurposed without compensation.

In Cloudflare’s view, the problem is not crawling itself. It is the blending of three different functions: search, agentic use, and training into a single bot that makes it difficult for website owners to set meaningful boundaries.

The Google Question

Cloudflare pointedly referenced the “world’s largest search engine,” an unmistakable nod to Google, arguing that it has access to roughly twice as much information as rival AI companies because it makes it harder for customers to stay discoverable without also being used for AI.

Google has disputed that framing. The company offers Google Extended, a crawler setting that lets publishers opt out of having content used for training and AI products such as Gemini apps and Vertex AI, without affecting visibility in Google Search. At the same time, Googlebot still crawls for Search and for AI-powered features such as AI Overviews and AI Mode.

Publishers Want Reach, Not Exploitation

Matthew Prince, Cloudflare’s co-founder and chief executive, said the company is moving quickly because the internet is now dominated by machine traffic.

“Now that the majority of traffic on the Internet is non-human, we must go further and act faster so that a sustainable ecosystem can emerge,” Prince said, referring to the recent milestone in which bots surpassed human traffic online sooner than expected.

Prince added that Cloudflare’s tools and partnerships are designed to give publishers more visibility and commercial leverage, while also rewarding AI companies that are transparent about how they use content.

From Pay Per Crawl To Pay Per Use

Cloudflare has increasingly positioned itself as a gatekeeper for publishers looking to assert control in the AI era. The company already offers tools to block AI bots, along with a marketplace called Pay Per Crawl, which lets websites charge AI systems for scraping.

That framework is now expanding into Pay Per Use, which Cloudflare says will allow publishers to charge AI companies when content creates value, not merely when it is fetched. In practical terms, that shifts the economics from extraction to monetization.

Cloudflare says the move may also reduce waste. Its data suggests more than half of crawl traffic from AI bots is spent revisiting pages that have not changed, consuming bandwidth and compute without adding fresh value for either side.

Early Partners Signal The Commercial Model

To launch the new system, Cloudflare is working with Ceramic.ai and You.com. Under the opt-in model, publishers can be paid when their content appears in Ceramic’s AI search results or when You.com accesses premium material.

Cloudflare says other AI companies can adapt the model to fit their own products. The broader message is clear: the era of unrestricted crawling is giving way to one in which access, attribution, and compensation are increasingly negotiated rather than assumed.

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