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Dr. Demis Hassabis Awarded Nobel Prize in Chemistry for Groundbreaking AI Contributions

Dr. Demis Hassabis, a renowned British-Cypriot artificial intelligence (AI) researcher and co-founder of DeepMind, has been awarded the Nobel Prize in Chemistry for his revolutionary work in using AI to advance the understanding of chemical processes. His contributions have transformed the fields of chemistry and molecular biology, propelling scientific discovery into new realms of possibility.

Hassabis’ award marks a significant milestone in the intersection of AI and the natural sciences. By leveraging AI to tackle complex scientific challenges, he has helped scientists understand the intricate molecular structures and interactions that underpin biological systems and chemical reactions. His work has not only provided deep insights into the fundamental processes of life but also paved the way for innovative approaches to drug discovery, materials science, and renewable energy solutions.

One of the key breakthroughs that earned Hassabis this prestigious recognition is DeepMind’s AlphaFold, an AI system designed to predict the 3D structures of proteins. Understanding protein folding is one of the most complex problems in molecular biology, and accurate predictions of these structures are crucial for numerous applications, including the development of new medications and therapies. Before AlphaFold, scientists relied on time-consuming and expensive methods to determine protein structures. Hassabis’ innovation has significantly accelerated this process, offering a more efficient and cost-effective solution that has already had a profound impact on research worldwide.

AlphaFold’s ability to predict the structure of nearly every known protein has been hailed as one of the most important scientific achievements in recent years. The system’s accuracy and speed have opened up new opportunities for scientists, enabling them to conduct research that was previously impossible or too resource-intensive. From addressing global health challenges like antibiotic resistance to advancing personalised medicine, the implications of AlphaFold’s success are far-reaching and transformative.

Dr. Hassabis’ achievement also highlights the growing role of AI in scientific discovery. Traditionally, the Nobel Prize in Chemistry has been awarded for advancements in laboratory-based research, but Hassabis’ work demonstrates the potential of AI as a powerful tool for solving some of the most pressing challenges in the natural sciences. This recognition by the Nobel Committee underscores the importance of interdisciplinary collaboration, where AI, computer science, and traditional scientific disciplines converge to create groundbreaking innovations.

Beyond his work in chemistry, Hassabis has been a key figure in advancing AI research and its applications across various fields. As the co-founder of DeepMind, he has driven the development of AI systems that can not only solve scientific problems but also tackle challenges in areas such as healthcare, gaming, and climate change. His visionary leadership has positioned DeepMind as a global leader in AI research and innovation, influencing industries and academic institutions alike.

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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