Artificial Intelligence

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Claude Hub Enters Early Access and Managed Projects Spotted on Mobile

App teardowns shared on 1 September 2026 show Anthropic’s unreleased Claude Hub feature transitioning from an internal flag to Early Access, while an empty tile for Managed Projects appears in the Claude mobile app’s layout code. This piece reconstructs the six-week trail of sightings, explains what Claude Hub and Managed Projects are, compares Anthropic’s orchestration bet with ChatGPT Projects and Gemini AI Rooms, reads the pricing-page clues about who gets access first, and sets out what businesses should prepare before agent orchestration ships.

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Google Prototypes Rooms for Gemini Enterprise With Goals and Playbooks

TestingCatalog has found references to a prototype feature called Rooms in recent Gemini Enterprise builds — shared workspaces where teams collaborate with colleagues and with Gemini around one objective. Creating a Room means defining a goal, a playbook describing how Gemini should operate, and a knowledge base of connected files. This piece covers what the leak shows, how Rooms extends the Projects feature announced at Cloud Next 2026, how it compares with ChatGPT shared projects, Claude Projects and Copilot Pages, current Gemini Enterprise pricing, and what businesses should prepare while the feature is still an unannounced prototype.

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New York Governor Kathy Hochul Thinks AI Should Be ‘Less Evil’

In a Decoder interview published 31 August 2026, New York Governor Kathy Hochul called AI “in one sense a necessary evil” and challenged the industry to “make it less evil”. This piece walks through what she actually said: the Executive Order 62 moratorium on hyperscale data centers of 50MW or more, the 30 applications that triggered it, St. Lawrence County’s one-reactor problem, the AI review of state regulations that saved 1.5 million hours, the 81 percent of likely-displaced jobs held by women, her Flock camera objections, the Meta teen-safety settlement, and what her “less evil” standard signals for businesses deploying AI.

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Identity and Permissions Aren’t Enough to Govern AI Agent Behavior

A VentureBeat article published in partnership with Box argues that identity and permissions aren’t enough to govern AI agent behaviour, because access controls decide what an agent can reach while saying nothing about what it should do once inside. Built around an interview with Box CISO Heather Ceylan, the piece proposes execution governance: task-scoped permissions minted per task, a content layer whose classification and metadata are enforced rather than advisory, a three-tier approval model sorted by reversibility, and behavioural baselines built for agents rather than people. This article walks through the argument, the SailPoint survey numbers behind it, the 2026 sandbox-escape incidents that made it concrete, and how it interlocks with agent identity and runtime trust.

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Virse Review: The AI Design Canvas That Encodes Your Taste Across 50+ Models

Virse calls itself a personalized creative engine — an AI-native design canvas that puts more than fifty image and video models (FLUX 2 Pro, Nano Banana Pro, Seedance 2.5, Kling 3.0, Veo 3.1 and more) into one infinite workspace and then learns what you find beautiful. This review examines the node-based canvas, the taste-encoding aesthetic memory system, the credit-based pricing from a free 200-credit tier to $399 Max plans, the enterprise Large Aesthetic Memory Model, and how the aggregated canvas compares with direct single-model subscriptions — including the unusual fact that credits get more expensive per dollar as the plans get bigger.

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DIT AI Token Exchange Features 160+ Providers and Low-Latency Routing

DIT.ai has launched calling itself an AI token exchange — a marketplace where more than 160 competing providers serve 50+ models and every request is matched in real time with the lowest-cost qualified supplier, with routing overhead under 100 milliseconds and advertised prices 30 to 70 percent below official rates. This article examines the published catalogue (Claude Fable 5, the GPT-5.6 family, Gemini 3, Grok 4.6, DeepSeek V4 and more), how the low-latency routing claim breaks down, how an exchange differs from gateways like OpenRouter, and — because the site’s entire public footprint dates from late August 2026 — what a careful buyer should verify before moving production traffic.

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AI Is Eating Website Traffic, Websites Are Blocking AI: Reliable Information Is Getting Harder to Find

On 31 August 2026 Dana McKay and Damiano Spina of RMIT University argued in The Conversation that the web’s thirty-year deal between crawlers and websites has collapsed: AI crawlers take content to train models and write answers while sending almost no traffic back, reputable publishers respond by blocking them, and AI answers increasingly draw on the low-quality and AI-generated sites that do not block. This piece sets out their argument, the Pew, Wikipedia and Cloudflare data behind it, the three peer-reviewed studies that show the quality trap is real, Cloudflare’s 15 September default block, pay-per-use and licensing, and what readers and UK businesses should do now.

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You Know Who Really Hates AI? Insurance Claims Adjusters

Glassdoor’s 2026 workforce study found that 98 percent of AI mentions from insurance claims adjusters are negative, the highest of any occupation, and WIRED’s reporting explains why: automated loss reporting that misroutes claims, hallucinated summaries relayed to claimants, customers who blame the human for the machine, and a job market in which sector employment fell 21 percent in a year and entry-level postings halved. This piece covers the Glassdoor methodology, the labour-market data, what Lemonade and State Farm are automating, the wider turn against AI across the workforce, and what the claims adjuster revolt teaches any organisation deploying AI in front of skilled staff.

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Perplexity to Launch Hybrid Mode on Mac Using Local Models for Subtasks

TestingCatalog has surfaced Hybrid mode, an unreleased setting in Perplexity Computer’s Mac app that keeps orchestration in the cloud while delegating suitable subtasks to a model running locally, plus a Privacy Gate model that checks outbound data for personal information and asks the user before it is sent. This article covers the three downloadable local models (a 19GB Perplexity model, Qwen 32B at 17.4GB, and a 5.6GB Gemma-based model for 16GB Macs), which Mac mini configurations qualify, how Privacy Gate differs from June’s hybrid agentic inference design, the credit arithmetic the feature targets, how it compares with the Nvidia-only Portable Computer, and what a UK business should do about a feature that is still hidden and undated.

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