Google DeepMind published a paper in 2025 outlining four pathways from artificial general intelligence (AGI) to artificial superintelligence (ASI): scaling, algorithmic innovation, recursive self-impr…
Meta employees in at least five US offices posted flyers on May 12 to protest the company's Model Capability Initiative, which collects employee computer use data to train AI models, with over 1,600 w…
Inception Labs' Mercury 2 diffusion language model outperforms Google DeepMind's DiffusionGemma on reasoning benchmarks while achieving parallel text generation speeds of over 1,000 tokens per second.…
G7 leaders met with CEOs from OpenAI, Anthropic, and Google DeepMind at the summit in Evian-les-Bains to discuss creating an international forum for setting standards on advanced AI models, an idea fl…
Google DeepMind warns that multi-agent AI systems are at a critical juncture where security must be embedded from the start, as retrofitting protocols after global scaling is nearly impossible. The te…
Google DeepMind published an AI Control Roadmap on June 18 that treats its own AI agents as potential insider threats, borrowing cybersecurity frameworks like MITRE ATT&CK to detect, prevent, and resp…
Sonar+D's 2026 exhibition at Barcelona's Llotja de Mar features 38 works combining AI, robotics, and immersive art, including Volvox Labs' Astral Twin robotic arms and Superbe's from0 sound installati…
Anthropic published research showing frontier AI models achieved as low as 16.9% accuracy on identical viral sequence queries due to broken data infrastructure, not model limitations. A deterministic …
A 1977 Little Golden Books story about Cookie Monster and a cursed cookie tree is used as an allegory to explain AI safety concepts, including AGI, misuse risks, preparedness frameworks, reward misspe…
Google DeepMind released Gemma 4 12B, an encoder-free multimodal model that processes visual and audio inputs directly through a single decoder-only transformer, enabling local agentic workflows on st…
Google DeepMind researchers audited DiffusionGemma, a text diffusion model, and found it is not significantly less transparent than Gemma in terms of variable interpretability, but algorithmic transpa…
CEOs of OpenAI, Anthropic, and Google DeepMind participated as equals in a working lunch at the G7 summit in France, discussing AI deployment, international standards, and technology sovereignty. The …
A developer argues that relying on a single AI model for all tasks is suboptimal, comparing it to using a hammer for a screw. The piece profiles seven major AI models—ChatGPT, Claude, Gemini, DeepSeek…
An engineer building with AI daily reveals that even the creators of large language models at Anthropic, Google DeepMind, and OpenAI do not fully understand why their models work. The post explains th…
Anthropic launched Live Artifacts for Claude Code on June 18, 2026, enabling real-time, shareable web pages from coding sessions. OpenAI's GPT-5.6 is nearing a June launch, with its chief scientist ca…
Nobel Prize-winning chemist John Jumper is leaving Google DeepMind for Anthropic, as reported by Reuters on June 19, 2026. Jumper, known for leading the AlphaFold project that predicted protein struct…
Both U.S. and Chinese AI firms are expanding in Singapore, positioning the city-state as a potential neutral AI hub. OpenAI, Google DeepMind, Anthropic, and Tencent have established operations there, …
Nobel laureate John Jumper, who won the 2024 Nobel Prize in Chemistry for creating AlphaFold, is leaving Google DeepMind after nearly nine years to join Anthropic. The departure follows Gemini co-lead…
John Jumper, a Nobel Prize-winning scientist who co-led the development of AlphaFold at Google DeepMind, announced he is leaving the company to join Anthropic. The move highlights a broader trend of s…
John Jumper, the Google DeepMind vice president and Nobel Prize-winning scientist behind AlphaFold, is leaving the company to join Anthropic, the maker of the Claude AI assistant. His departure signal…