







I work at Google DeepMind. This won't make me popular. But it's all public reporting: 2014: DeepMind reportedly sold to Google on conditions: no military use, independent oversight 2026: a Pentagon contract for "any lawful government purpose" Not one safeguard survived intact
Jul 14, 2026 at 12:37 PM
Why I Left Google DeepMind
I fought against Google’s Pentagon AI deal from the inside. Powerful people and institutions failed to keep their AI ethics promises under pressure.

News Factory: Musk’s fixation on Google AI chief Demis Hassabis highlighted in trial testimony
During the high‑profile lawsuit between Elon Musk and OpenAI co‑founder Sam Altman, testimony revealed that Musk repeatedly mentioned Google DeepMind founder Demis Hassabis. Court transcripts show Musk called Hassabis "evil," worried about Google’s lead in artificial intelligence, and exchanged a series of urgent emails warning that OpenAI could not keep pace. Witnesses, including OpenAI president Greg Brockman, confirmed Musk’s obsession with the British scientist, describing it as a driving force behind strategic discussions at Tesla and beyond.

Elon Musk’s vicious AI rivalry with Nobel winner revealed in court
Emails released as part of a lawsuit show the feud between Musk and Sir Demis Hassabis, the chief executive of Google DeepMind

The Technical Feasibility of Divesting Google Chrome – Knight-Georgetown Institute
As the European Commission advances efforts under the Digital Markets Act to require Google to share its search data with competitors, lessons from historic antitrust remedies underscore how data access could be transformational in the AI-powered search market. While the Commission’s proposals represent a novel and comprehensive approach, key improvements to data scope and sharing frequency, privacy protections, and dispute resolution are needed. US courts and enforcers charged with implementing similar provisions should take note.

Revealed: Google facilitated Russia and China’s censorship requests
An investigation has exposed the tech firm’s cooperation with autocratic regimes to remove unfavourable content

Google DeepMind CEO Demis Hassabis: The Path To AGI, Deceptive AIs, Building a Virtual Cell
Google and Amazon: Acknowledged Risks, and Ignored Responsibilities
In late 2024, we urged Google and Amazon to honor their human rights commitments. Since then, a stream of additional reporting has reinforced that our concerns were well-founded. Yet despite mounting

Google DeepMind and partners announce multi-agent safety research funding call.
Google DeepMind and partners are announcing a new technical research funding call of up to $10M for researchers worldwide to strengthen multi-agent safety.
Google shakes up AI leadership as DeepMind chief shifts role
Google parent company Alphabet on Wednesday announced a leadership overhaul of its AI division, with AI chief Demis Hassabis leaving his main managerial role and several leaders of its Gemini model,...
How Google and AI Nearly Made a Seasoned Reporter Spiral — ProPublica
I thought I had missed something major in my reporting. Turns out I had stumbled into an AI-fueled feedback loop that involved a real LLC’s fictional website and a search engine that’s thrusting unreliable answers on users.

EFF to State AGs: Investigate Google's Broken Promise to Users
Google's Failure to Warn Users About Law Enforcement Demands for Data Is Deceptive

Just Asking Questions: Doing Our Own Research on Conspiratorial Ideation by Generative AI Chatbots
Interactive chat systems that build on artificial intelligence frameworks are increasingly ubiquitous and embedded into search engines, Web browsers, and operating systems, or are available on websites and apps. Researcher efforts have sought to understand the limitations and potential for harm of generative AI, which we contribute to here. Conducting a systematic review of six AI-powered chat systems (ChatGPT 3.5; ChatGPT 4 Mini; Microsoft Copilot in Bing; Google Search AI; Perplexity; and Grok in Twitter/X), this study examines how these leading products respond to questions related to conspiracy theories. This follows the platform policy implementation audit approach established by Glazunova et al. (2023). We select five well-known and comprehensively debunked conspiracy theories and four emerging conspiracy theories that relate to breaking news events at the time of data collection. Our findings demonstrate that the extent of safety guardrails against conspiratorial ideation in generative AI chatbots differs markedly, depending on chatbot model and conspiracy theory. Our observations indicate that safety guardrails in AI chatbots are often very selectively designed: generative AI companies appear to focus especially on ensuring that their products are not seen to be racist; they also appear to pay particular attention to conspiracy theories that address topics of substantial national trauma such as 9/11 or relate to well-established political issues. Future work should include an ongoing effort extended to further platforms, multiple languages, and a range of conspiracy theories extending well beyond the United States.

Just Asking Questions: Doing Our Own Research on Conspiratorial Ideation by Generative AI Chatbots
Interactive chat systems that build on artificial intelligence frameworks are increasingly ubiquitous and embedded into search engines, Web browsers, and operating systems, or are available on websites and apps. Researcher efforts have sought to understand the limitations and potential for harm of generative AI, which we contribute to here. Conducting a systematic review of six AI-powered chat systems (ChatGPT 3.5; ChatGPT 4 Mini; Microsoft Copilot in Bing; Google Search AI; Perplexity; and Grok in Twitter/X), this study examines how these leading products respond to questions related to conspiracy theories. This follows the platform policy implementation audit approach established by Glazunova et al. (2023). We select five well-known and comprehensively debunked conspiracy theories and four emerging conspiracy theories that relate to breaking news events at the time of data collection. Our findings demonstrate that the extent of safety guardrails against conspiratorial ideation in generative AI chatbots differs markedly, depending on chatbot model and conspiracy theory. Our observations indicate that safety guardrails in AI chatbots are often very selectively designed: generative AI companies appear to focus especially on ensuring that their products are not seen to be racist; they also appear to pay particular attention to conspiracy theories that address topics of substantial national trauma such as 9/11 or relate to well-established political issues. Future work should include an ongoing effort extended to further platforms, multiple languages, and a range of conspiracy theories extending well beyond the United States.

Google Is Building an A.I. Fence Around the Internet It Once Championed
As Google incorporates more artificial intelligence into search, people are spending more time on Google. Some website operators are crying foul.

Google Is Building an A.I. Fence Around the Internet It Once Championed
As Google incorporates more artificial intelligence into search, people are spending more time on Google. Some website operators are crying foul.

Dark Web Informer on Twitter / X
‼️🇺🇸 LAPSUS$ Group is allegedly selling a massive dataset of https://t.co/Q6UlD72i8v, an AI recruiting platform with $500M+ revenue, is being auctioned on a popular cybercrime forum, TG, and their website.▪️Total Size: ~4TB▪️Data Includes: 211GB of database▪️939GB of source… pic.twitter.com/hEvp244uNO— Dark Web Informer (@DarkWebInformer) March 30, 2026
