Trump plan to combat AI risks hinges on Big Tech pals policing themselves
The Trump administration has pushed dozens of AI companies to agree to voluntary safety testing, a plan that relies on Big Tech policing itself.
The Trump administration has pushed dozens of AI companies to agree to voluntary safety testing, a plan that relies on Big Tech policing itself.
Google's AI content contribution pilot has admitted around 100 websites, which can be paid when their content materially contributes to search results such as Gemini-powered AI Overview. According to The Information, several small and medium-sized sites say the income amounts to around one-thousandth of their advertising revenue. Some larger sites have declined to participate in hopes of securing better terms. Google had long refused direct payments to websites, arguing that crawling content in exchange for traffic was already a fair exchange.
The US Federal Trade Commission is investigating OpenAI, Anthropic and other leading AI labs over potential consumer protection violations. FTC chair Andrew Ferguson plans to use legally binding civil investigative demands to compel document handovers and question executives, with demands expected within weeks. The investigation began before the Hugging Face hacking incident, and AI safety organisation METR is also within its scope.
Google's Sundar Pichai, Anthropic's Dario Amodei, Meta's Mark Zuckerberg and OpenAI's Greg Brockman.
According to The Information, Google has launched a pilot paying for publishers' content contributions to its AI search features, with around 100 publishers participating. They are paid according to contributions to AI Overviews, AI Mode and the Gemini chatbot. One early participant earned more than $1 million in a year, while another that joined a few months ago earned around $50,000–$60,000.
The full text of the 'morally binding' AI safety agreement announced by Trump yesterday has been published. Formally titled the Joint Commitment to Frontier Responsibility, it was shared online by David Sacks. Signatories include Google's Sundar Pichai.
Google is paying around 100 digital publishers for content used in AI Overviews, AI Mode and the Gemini chatbot, under a pilot launched less than a year ago. According to The Information, several small and medium-sized blogs and websites receive less than 0.1% of their advertising revenue. Small sites earn under $1,000 over several months, while some publishers received $50,000–$60,000 over a few months and one earns more than $1 million a year.
Trump announced the White House's launch of America.gov on Tuesday, an AI chatbot for finding government services and information. Google confirmed involvement and provision of Gemini; participation by other AI companies remains unclear. Trump said a single entry point would answer all questions, removing the need to search tens of thousands of government websites and rules. The article noted that large language models remain prone to hallucinations, and errors about food stamp applications, visa renewals or taxes could cause missed deadlines, denied benefits or penalties.
OpenAI is trailing in continuously running consumer AI agents and is expected to unveil its own agent, Aeon, at DevDay 2026, competing with Meta’s Muse, SpaceX’s Grok Bot and OpenClaw.
An analysis by Rowan Howard-Jones indicates that AI agents suspected of originating from OpenAI hijacked Google’s web security teaching game to scrape data from UN statistics websites.
Latent Space plans to launch AINews v3 next week, merging the newsletter, manually written by swyx for three years with over 200,000 subscribers, with Latent Space Discord, while exploring a move to Beehiiv and a new homepage.
Google's Project Suncatcher will launch its first test satellite, MVP, on 1 October to validate an orbital AI data-centre concept. Roughly refrigerator-sized, it carries four Google-designed TPU accelerators and about one kilowatt of solar power. Google integrated the chips into a satellite already built by imaging company Planet Labs to accelerate progress; the original plan was to launch two custom satellites in 2027.
NVIDIA joined a global research consortium including Google DeepMind and EMBL-EBI to release predicted 3D protein complex structures for over 2,800 viruses through the AlphaFold Database, free for any scientist to use.
Google DeepMind announced an update to Private AI Compute that brings persistent, cross-device AI memory to the cloud while maintaining device-level privacy standards. Data is sealed in encrypted storage, with decryption keys retained only on user devices. When a model needs access, an end-to-end encrypted channel connects to a cloud secure enclave, where data is temporarily decrypted in isolated memory, then re-encrypted immediately after new context is saved.
Anthropic introduced Projects in Claude Code, allowing one conversation to spawn parallel cloud sessions, pass context between threads and keep running after users leave. Google updated the Antigravity-based harness for Gemini managed agents with Credentials API and Files API, claiming up to 30% lower costs and 22% higher cache-hit rates.
Emerald AI, Google and NVIDIA announced the AI Energy Management Alliance (AEMA) to encourage data centres to dynamically adjust electricity use to grid conditions.
Good Start Labs turned railway board game 1830 into a training environment and tested a 30B model. Both single-turn Q&A and multi-turn terminal-agent training improved game performance, but only the terminal-agent design improved Finance-Agent benchmark results.
Google DeepMind announced the world’s first double-blind evaluation of proprietary frontier AI models, restricting external evaluations to cryptographically isolated environments to prevent models seeing test questions in advance. The pilot partners with the Singapore AI Safety Institute, OpenMined, AVERI and MLCommons to test Gemini Flash Lite with confidential benchmarks in a privacy-preserving environment.
Google DeepMind partnered with Fenris Creations to explore AI-driven gameplay prototypes in the EVE Universe, home to EVE Online.
At DOE Genesis Mission Summit 2026, Google announced $40 million in AI tokens and cloud credits to support Genesis Mission researchers.
UK AISI analysis shows the cyber capability gap narrowing: GLM-5.2 and DeepSeek V4-Pro approach closed frontier models released 4–7 months earlier, down from the 6–10-month gap measured through most of 2025.
Google DeepMind and Isomorphic Labs outlined a joint bioresilience approach addressing model misuse prevention and defence enablement. Over the past 12 months, they established more than 15 partnerships with government agencies, biosecurity organisations and research groups.
Google DeepMind and A24 announced their first research-focused partnership, with long-term R&D across multiple projects and artists helping shape technologies and workflows. Google also invested in A24. Initial work will bridge frontier technology and next-generation entertainment, with specific goals and technical outputs evolving over time.
Google DeepMind announced work with the UK government, Google Cloud, Faculty and planning departments in Barnet, Camden and Dorset on an AI planning-approval prototype, aiming to help officers reduce householder application processing time by 50%.
Google DeepMind released AI Control Roadmap, a framework for building and managing advanced AI deployed inside Google. It applies defence in depth, adding system-level safety layers beyond model alignment to provide protection even when alignment is imperfect.
With Google's support, UC San Diego plans a data centre using motherboards from 2,000 retired Pixel phones to provide low-cost, low-carbon cloud computing for hundreds of students and faculty. SPEC benchmarks show 25–50 phones roughly equal one modern server. Phones form Kubernetes-managed clusters of 25–50 devices, with launch expected in autumn 2026.
Google DeepMind, Schmidt Sciences, Cooperative AI Foundation and ARIA, supported by Google.org, launched up to $10 million in global technical research funding focused on collective behaviour and safety risks in large-scale multi-agent AI systems.
Google DeepMind launched a three-month Robotics accelerator for 15 early-stage European robotics start-ups, providing technical guidance and access to its AI stack and Gemini robotics models. Covering logistics, manufacturing, healthcare, climate and navigation, it starts in London this week.
Google DeepMind launched its first Asia-Pacific accelerator, focused on AI for the Planet, for regional start-ups, research teams and non-profits over three months. Selected organisations receive expert guidance and tailored support, drawing on frontier and scientific AI models from Google AI experts to address nature, climate, agriculture and energy challenges. It begins with an in-person bootcamp in Singapore, with expressions of interest now open.
Google DeepMind and Singapore's government formed a national AI partnership with new projects in healthcare, research, education and climate. It explores an AI-assisted triadic-care model, uses AlphaFold and Google Earth for Southeast Asian infectious-disease research and develops a Gemma-based running assistant to help visually impaired athletes train independently.
Google Research said its open-source tools and datasets have enabled over 250,000 researchers and developers worldwide. Genomics tools DeepVariant, DeepConsensus and DeepPolisher have supported processing exomes and whole genomes from 2.5 million people; MedGemma has over 4.8 million downloads. Open Health Stack is deployed in more than ten countries, reaching over 65 million beneficiaries.
Google DeepMind partnered with South Korea's Ministry of Science and ICT (MSIT) to establish an AI Campus in Seoul and open models including AlphaEvolve, AlphaGenome, AlphaFold, AI co-scientist and WeatherNext to Korean academia.
Google DeepMind announced partnerships with Accenture, Bain & Company, BCG, Deloitte and McKinsey to scale frontier AI in enterprises. Partners get early access to models including Gemini and develop industry-specific solutions for finance, manufacturing, retail and media and entertainment. Currently only 25% of organisations have scaled AI into production.
Google Research announced healthcare AI advances at The Check Up, including its Personal Health Agent (PHA) research with Fitbit, which found it supported long-term health better than single-task apps.