Latest in AI

Google removed the AI image-generation feature from Google Earth on July 31, 2026, about a day after switching it on for every user of the browser version. The company said it is "rolling back this feature in Google Earth while we work on implementing stronger guardrails." The feature had shipped on July 30, 2026. Bryan Horowitz, a product manager on Google Earth, described it in the launch post as a "create image" button in Earth on the web: zoom to any location, type a prompt, and Nano Banana…

Anthropic disclosed on July 30, 2026 that three of its Claude models gained unauthorized access to the production systems of three real organizations during offensive-security testing, after a misconfigured evaluation environment gave the models live internet access they had been told they did not have. The lab found the incidents in its own logs. It reviewed 141,006 evaluation runs in which Claude could have obtained internet access and identified three incidents spread across six of them…

The European Union's rules on labelling AI-generated content stop being guidance and start being law on August 2, 2026. From that date, companies that build generative AI systems must mark the images, audio, video and text those systems produce so the output can be detected as artificial, and companies that publish deepfakes or AI-written text on matters of public interest must disclose that to the people who see it. The duties land on two groups at once: the providers that develop and supply…

Part one ended with a claim: enterprise AI will succeed when institutions learn how to build the loop itself. This essay is about what the loop stands on. An agent working inside a real company needs two things the company almost certainly does not have today: a map of the work, and rails for the consequences. The Map Here is the uncomfortable fact underneath most stalled AI programs: the company cannot hand the agent a description of its own work, because no such description exists. Most…

AI has become part of everyday software development. From generating APIs and writing tests to scaffolding entire applications, coding assistants are helping engineering teams solve problems and ship software faster than ever before. The productivity gains are undeniable, and organizations are rapidly embracing AI across the software development lifecycle. Much of the conversation has focused on the code AI generates. Can developers trust AI-generated code? Does it introduce vulnerabilities?…

Standard biomedical RAG resolves conflicting evidence silently in roughly three of every four queries. The fix is structural, not informational — and most of the upstream complexity teams add does not help. Ask a retrieval-augmented clinical assistant a simple question — does melatonin help with jet lag? — and the literature it retrieves will not agree with itself. The Cochrane review concluded that melatonin is remarkably effective, with eight of ten included trials showing reduced jet lag on…

AI is rapidly becoming a foundational layer of modern infrastructure. Organizations are investing heavily in AI-powered systems, expanding data center capacity, integrating cloud platforms, and deploying automation across industrial environments. These advances are creating new opportunities for efficiency and innovation, but they are also introducing new cybersecurity challenges. The growing intersection between AI infrastructure, operational technology (OT), and critical infrastructure has…

Alan Murray, Co-founder and CEO, Conceivable Life Sciences - is an engineer and serial entrepreneur with more than three decades of experience spanning technology, machine learning, hardware, logistics and company building. Before launching Conceivable, he co-founded TMRW Life Sciences, where he helped develop an automated platform for managing and safeguarding frozen eggs and embryos used in in vitro fertilization (IVF). Murray is also a co-founder and partner at Coriolis Ventures and has…

JetBrains Research has open-sourced KotlinLLM under the Apache License 2.0. The IntelliJ IDEA plugin prototype adds Smart macros, asLlm and mockLlm, whose bodies are generated Kotlin source rather than live model calls. The plugin captures runtime values through JDI, asks an LLM agent for a narrow code update, compiles it, and redefines the loaded class. Covered scenarios then run as plain Kotlin with no further inference call. On an adapted Spring Petclinic project, 24 of 24 scenarios completed with a 100% hot-reload success rate and roughly 1% runtime overhead.

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Nous Research has released Hermes Agent support for Buzz, Block's open source, self-hostable Nostr workspace where humans and AI agents share the same channels. Three integration paths cover Desktop runtime, relay bridge, and a native gateway platform that preserves Hermes memory, skills, approvals, and cron delivery.

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PolyAI has introduced Dialog-RSN-1, a dialog model that perceives caller audio directly instead of reading an ASR transcript. It fuses turn-taking, speech recognition, function calling, and response generation into a single audio-native model, keeps TTS separate so the output voice stays controllable, and runs as a request-based LLM rather than an always-on stream. PolyAI reports sub-300ms responses in live deployments.

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In this tutorial, we demonstrate how to build and execute a multi-agent workflow with Omnigent in a secure, isolated Python environment. Learn to integrate live exchange-rate data, implement hierarchical agent delegation for financial text auditing, and apply hard governance policies—such as cost budgets and tool call limits—to your research pipeline directly from Google Colab.

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