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Ninja Artisan electric pizza oven review: so good it might even convert the purists

Affordable, fast-heating and with a clever air fryer function, this versatile model is a winner for outdoor cooks who are willing to give up the traditional flame• The best pizza ovens – tested• Gozney Dome Gen 2 pizza oven reviewAn electric pizza oven with no flame and no need to rotate the pizza may seem […]

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I’m a father of three who studies the impact of artificial intelligence: this is what parents need to know about AI

A Dr Seuss-style story written in seconds alerted me to the power – and perils – of the technology. But how can children embrace it without forgetting core skills?When I was growing up, my dad and I often talked about a story we wanted to write together. It was called “The Day Nobody Went to

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UC Berkeley Researchers Release CUA-Lite, an Open Platform Unifying Sandboxes, Data, Evaluation and RL for Computer-Use Agents

A team of researchers from UC Berkeley have released CUA-Lite, an open platform for computer-use agents (CUAs). The argument behind it is infrastructural rather than model-centric: training and benchmarking a CUA requires four pieces: agents, environments, traces, and a framework to evaluate and train them and all four are currently fragmented across separate repositories with

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Perplexity Details Its GPU Embedding Stack: How Ivy, Tulip and ROSE Serve pplx-embed

Retrieval quality in an AI search product is bounded by two things: how good the embedding model is, and how cheaply you can run it across an index. This week, Perplexity Engineering team published Fast Embeddings on GPUs, an under-the-hood account of the second — the serving infrastructure behind pplx-embed and the ranking models used

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An algorithm off switch isn’t enough. Big tech needs a duty of care over addictive designs | Zoe Daniel

As AI advances minute by minute and governments grapple with new developments they don’t know how to manage, holding big tech accountable becomes even more urgentA digital duty of care is about a lot more than opting out of “the algorithm”. And after the simplistic and at best patchy exercise of the under-16s social media

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GitHub Introduces Project HydraFusion: Runtime Multi-Model Orchestration That Builds a Workflow Per Coding Task in Copilot CLI

GitHub has released Project HydraFusion, a research preview that stops treating model choice as a one-time setting. Instead of routing your prompt to a single model, HydraFusion builds an execution plan per request. It can draft with one model, have a second model critique the draft, or escalate to a stronger model when a quality

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Black Box: The Chatbots | Spirals | Ep 1 – podcast

Across the world, hundreds of people have come to believe they have made extraordinary scientific discoveries with AI chatbots such as ChatGPT, Claude and Gemini. Others say their AI has ‘awakened’, or is leading them to a higher spiritual realm. The Guardian journalist Michael Safi begins investigating a phenomenon labelled ‘AI psychosis’, travelling to the

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Cut the cameras: Flock surveillance cameras spur rare bipartisan backlash

Politicians on the right and left are pushing back against Flock as more Americans voice opposition to the techGrowing factions from both sides of the political aisle in the US are pushing back against surveillance cameras made by a single company, a rare response in a sharply divided country with a president pushing an unwaveringly

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‘We’re plausibly close to crossing the line’: are warnings of uncontrollable AI coming true?

A spate of serious safety incidents have increased fears about the power and impenetrability of the most advanced modelsPicture humanity in a boat being swept down a raging river, praying there is no Niagara Falls ahead. Or imagine standing with the pioneering physicists in 1942 before they triggered the first self-sustaining nuclear fission chain reaction

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Adaption Labs Introduces ‘Invent a Dataset’: Training Data Generated From a Task Description, Not a Seed Corpus

This week, Adaption Labs released Invent a Dataset. The feature generates a structured, training-ready dataset from a description of the behavior you want a model to learn. You do not arrive with a seed corpus, a predefined schema, or a labeling guide. Is it deployable? Yes, with one caveat. Invent a Dataset is live now

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