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Black Box: episode 6 – Shut it down? – podcast

Revisited: Guardian journalist Michael Safi looks into the world of artificial intelligence, exploring the dangers and promises it holds for societyToday in Focus is on a summer break and will be back with new episodes from 1 September. In the meantime, we are bringing you season one of Black Box, before the launch of season […]

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Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark

Time to first token (TTFT) is the metric teams use to pick an inference API for voice. It is also the metric that misleads them. TTFT marks when generation starts; a text-to-speech model cannot speak until a full clause arrives. Between those two points sits the difference between an agent that feels conversational and one

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Google AI Introduces EnvHarness: A Programmable Layer That Turns Static Agent Environments Into Adaptive Training Worlds

A team of researchers from Google Cloud AI Research, Washington University in St. Louis and UNC Chapel Hill has released EnvHarness, a programmable layer that turns a static agent benchmark into one that adapts to the policy training on it. LLM agents now learn less from curated text and more from interactive environments, but those

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AI’s worst disasters will arrive unannounced | Letters

Dr Simon Nieder on the global efforts needed to curb the threats posed by AI. Plus letters from Dr Anthony Harris and David KylerTimothy Garton Ash is right that serious artificial intelligence risks demand international action, but “AI Hiroshima” may be the wrong picture (Would even an AI disaster on the scale of Hiroshima be

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Big business has shown small firms what to do – and what not to do – with AI | Gene Marks

Small business owners have watched large companies fumble – and sometimes succeed – with AI, and then use what worksOne thing I’ve learned about corporate America is that what it succeeds at ultimately trickles down to benefit small businesses. Bleeding-edge technologies such as the internet, mobile transactions and the cloud were first perfected by large

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The datacenter fight could permanently transform US politics. Which party will seize advantage?

The movement against datacenters are uniting Americans because they perfectly illustrate how a few individuals hold all the power to control decisions that impact our livesBryce Gustafson has been knocking on doors in Indiana for more than a decade. The lead organizer with Citizens Action Coalition (CAC), a consumer and environmental organization, he usually encounters

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ProCook outdoor pizza oven review: a budget-friendly model that brings the pizzeria home

This no-frills pizza oven gets the basics right and is more than good enough for most people• The best pizza ovens – tested • Ooni Koda 2 reviewThe market for pizza ovens tends to be dominated by a handful of specialist brands, so it can feel like a gamble to buy from a lesser-known manufacturer

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Anthropic Opens a Research Preview of the Model Hardware Standard (MHS): A Shared Specification for AI Agents to Safely Operate Physical Devices

Anthropic has opened a research preview of the Model Hardware Standard (MHS), a shared specification that lets AI agents discover and operate physical devices. The problem it targets is plumbing. A lab bench or factory cell is assembled from vendors that never planned to interoperate, so every instrument ships its own interface and specialists hand-write

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Meet ‘Code-as-World’: An Agentic Loop That Rewrites Real Videos Into Executable MuJoCo Physics Programs

MirroS released Code-as-World: a paradigm that represents physical worlds through executable world representations. The argument is narrow and testable: pixels are evidence of a physical scene, not its ontology. A video model can predict plausible frames without ever representing mass, contact, or gravity. So instead of pixels, latents, or captions, Code-as-World represents a scene as

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Building Custom Batched Ensemble Weather Forecasting with NVIDIA Earth2Studio

In this tutorial, we build an ensemble weather forecasting workflow with NVIDIA Earth2Studio. We install the required Earth2Studio components while preserving Colab’s existing CUDA-enabled PyTorch environment, load the FCN prognostic model, and retrieve atmospheric initial conditions from GFS. We then implement a custom wind-power diagnostic that converts 10-meter wind components into turbine capacity factors, along

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