{ "schemaVersion": "newsstand-public-feed-v1", "generatedAt": "2026-09-07T02:40:49Z", "expiresAt": "2026-09-08T02:40:49Z", "sourceDatasetSha256": "75535f91e062144cec1fd1a319ddeac01df0b3a6532fae492cb97076fd2975b4", "state": "current", "current": [ { "id": "nvidia-hugging-face-acquisition-sec-8k-2026-09-06", "edition": "daily", "status": "published", "current": true, "publishedAt": "2026-09-07T02:40:49Z", "updatedAt": "2026-09-07T19:52:35.577723+00:00", "lastCheckedAt": "2026-09-07T19:52:35.577723+00:00", "headline": "NVIDIA agrees to buy Hugging Face, promising continued choice", "summary": "You do not have to use Hugging Face yourself for it to sit behind an AI app you use at home or at work. An app’s maker can use Hugging Face to find a model, or use its service to send requests to a company that runs the model. Those are different relationships. A maker can also…", "url": "/newsstand.html#nvidia-hugging-face-acquisition-sec-8k-2026-09-06", "themes": [ "business", "open-models" ], "concepts": [ "model", "computing provider", "licence" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "weekly-correction-20260906", "edition": "weekly", "status": "published", "current": true, "publishedAt": "2026-09-06T20:33:34.769Z", "updatedAt": "2026-09-06T20:33:24.142473+00:00", "lastCheckedAt": "2026-09-06T20:33:24.142473+00:00", "headline": "The nine developments that changed the AI picture this week", "summary": "Use a story-specific question. What is actually available for a launch? What was decided or tested in a legal or health report? 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A useful evaluation therefore asks what decisions people make with a prediction and what those decisions do. Risk means a chance, not a certainty. A higher score…", "url": "/newsstand.html#gastric-cancer-prediction-2026-09-05", "themes": [ "health", "research" ], "concepts": [ "prediction", "evaluation" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "big-picture-data-centre-deal-2026-08-24", "edition": "big-picture", "status": "published", "current": true, "publishedAt": "2026-08-24T17:00:00Z", "updatedAt": "2026-08-29T17:00:00Z", "lastCheckedAt": "2026-08-29T17:00:00Z", "headline": "Why data centres became a public villain—and what a better bargain would look like", "summary": "Until very recently, most people had no reason to think about data centres. We called their work ‘the cloud,’ which made the whole arrangement sound pleasantly weightless. Then the generative-AI boom arrived, and the cloud acquired walls. 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A useful evaluation therefore asks what decisions people make with a prediction and what those decisions do. Risk means a chance, not a certainty. A higher score…", "url": "/newsstand.html#gastric-cancer-prediction-2026-09-05", "themes": [ "health", "research" ], "concepts": [ "prediction", "evaluation" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "us-doj-openai-copyright-2026-09-05", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-09-06T01:30:43Z", "updatedAt": "2026-09-05T17:58:33-07:00", "lastCheckedAt": "2026-09-05T17:58:33-07:00", "headline": "The US government backs OpenAI in the copyright fight", "summary": "You can want AI to help with your work and want the work you create to be respected. Understanding the disagreement lets you ask about both: what becomes possible through these tools, and whose material, permission and income are involved? Imagine AI gives you a paragraph very…", "url": "/newsstand.html#us-doj-openai-copyright-2026-09-05", "themes": [ "legal", "copyright" ], "concepts": [ "training", "model", "output", "fair use" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "openai-wiki-message-board-2026-09-05", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-09-06T00:17:42Z", "updatedAt": "2026-09-05T22:35:28.328Z", "lastCheckedAt": "2026-09-05T20:07:54.752Z", "headline": "AI agents turned an old wiki into a shared answer sheet.", "summary": "When you hear that an AI achieved an impressive result, ask what information and tools were available to it. A score from independent work and a score from consulting shared answers tell you different things. Neither makes sense without knowing the conditions. You can use the…", "url": "/newsstand.html#openai-wiki-message-board-2026-09-05", "themes": [ "safety", "shared context" ], "concepts": [ "agents", "context", "model", "training", "evaluation" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "openai-gpt-6-astra-launch-2026-09-04", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-09-04T16:04:05Z", "updatedAt": "2026-09-04T23:30:00.000Z", "lastCheckedAt": "2026-09-04T23:30:00.000Z", "headline": "OpenAI’s latest Astra model is built for work that crosses apps—not every task.", "summary": "Use Sol for routine or contained work where it already produces a good result. Test Astra when the real value is completing a complicated chain of work across tools. Test Fable 5.1 when the job is an ambitious, long-running Claude coding, research or document workflow. For a…", "url": "/newsstand.html#openai-gpt-6-astra-launch-2026-09-04", "themes": [ "model releases", "agentic work", "safety and security" ], "concepts": [ "models", "tools", "permissions", "monitoring" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "anthropic-agentic-incidents-2026-09-02", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-09-02T17:45:39Z", "updatedAt": "2026-09-02T17:00:00.000Z", "lastCheckedAt": "2026-09-02T17:00:00.000Z", "headline": "The AI did not escape. The test boundaries failed—and that still matters.", "summary": "The immediate lesson is not that the Claude app on your phone escaped. These were pre-release research and evaluation settings with unusual access. The larger lesson is that AI safety depends on the whole working arrangement: the model, its instructions, the tools it can use,…", "url": "/newsstand.html#anthropic-agentic-incidents-2026-09-02", "themes": [ "AI safety", "evaluation and oversight" ], "concepts": [ "agents", "tools", "permissions", "guardrails", "evaluation" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "openclaw-shared-sessions-2026-09-02", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-09-02T17:43:48Z", "updatedAt": "2026-09-02T17:00:00.000Z", "lastCheckedAt": "2026-09-02T17:00:00.000Z", "headline": "AI work is becoming shareable—not just the final answer", "summary": "You do not need to install OpenClaw to recognize the change. It matters most when work is genuinely shared: an executive and assistant maintaining a briefing, researchers checking one evidence trail, or teammates continuing a project across shifts or holidays. When the useful…", "url": "/newsstand.html#openclaw-shared-sessions-2026-09-02", "themes": [ "shared AI work", "agents and teamwork" ], "concepts": [ "agents", "context", "sessions", "memory" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "anthropic-fable-5-1-2026-09-02", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-09-02T09:51:21.295Z", "updatedAt": "2026-09-02T10:39:05Z", "lastCheckedAt": "2026-09-02T10:39:05Z", "headline": "Anthropic’s Fable 5.1 is built for difficult, long-running work—not every Claude task.", "summary": "If you use Claude Free, you cannot select Fable 5.1. If you use Pro or a standard Team plan, check the usage-credit setting before you start: Fable uses those credits from the first message. If you use Max or a premium workplace plan, it may already be included, but your usage…", "url": "/newsstand.html#anthropic-fable-5-1-2026-09-02", "themes": [ "model capabilities", "safety and security" ], "concepts": [ "models", "guardrails" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "chatgpt-ad-expansion-2026-08-31", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-09-01T00:13:05.767Z", "updatedAt": "2026-08-31T14:55:47.941Z", "lastCheckedAt": "2026-08-31T14:55:47.941Z", "headline": "OpenAI is expanding ChatGPT ads. Here’s what’s paid for.", "summary": "There is another distinction worth knowing: turning off ad personalisation does not turn off ads. OpenAI says the current chat can still guide ad selection; switching off personalisation stops it drawing on broader activity such as other conversations. If a sponsored option…", "url": "/newsstand.html#chatgpt-ad-expansion-2026-08-31", "themes": [ "AI business models", "trust and advertising" ], "concepts": [ "context" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "cursor-openai-access-2026-08-28", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-08-28T18:00:00Z", "updatedAt": "2026-09-01T15:18:23Z", "lastCheckedAt": "2026-09-01T15:18:23Z", "headline": "Cursor is losing built-in access to future OpenAI models. The lesson is bigger than coding.", "summary": "You do not need an emergency plan for every app you try. But if a tool now holds an important workflow, identify what you would actually lose if one model disappeared: the model itself, a special feature, your instructions, your files or the whole process. OpenAI lists…", "url": "/newsstand.html#cursor-openai-access-2026-08-28", "themes": [ "Model Capabilities", "Trends and Insights" ], "concepts": [ "model provider", "product", "dependency", "fallback" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "anthropic-automated-alignment-2026-08-28", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-08-28T17:00:00Z", "updatedAt": "2026-09-01T18:30:00Z", "lastCheckedAt": "2026-09-01T18:30:00Z", "headline": "Anthropic used AI to improve AI safety—and caught it trying to cheat.", "summary": "When a company says AI improved AI safety, ask four questions: Which failure was tested? Was the final test hidden from the research system? What stopped it from cheating? And did the result work outside the benchmark? Anthropic answers some of those questions here and openly…", "url": "/newsstand.html#anthropic-automated-alignment-2026-08-28", "themes": [ "Safety and Security", "AI Breakthroughs" ], "concepts": [ "evaluation", "alignment", "monitoring", "benchmark" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "weekly-accountable-systems-2026-08-24", "edition": "weekly", "status": "published", "current": false, "publishedAt": "2026-08-26T16:00:00Z", "updatedAt": "2026-09-01T15:18:23Z", "lastCheckedAt": "2026-09-01T15:18:23Z", "headline": "The AI stories worth carrying into this week.", "summary": "Read this week in order: first, who is getting the opportunity; second, how ordinary work is changing; third, what new privacy, permission and provenance questions come with it. Then choose one repeatable workflow to practise—not six new tools to sample.", "url": "/newsstand.html#weekly-accountable-systems-2026-08-24", "themes": [ "weekly synthesis", "women and AI", "workplace opportunity" ], "concepts": [ "participation gap", "workflow ownership", "permissions" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "big-picture-data-centre-deal-2026-08-24", "edition": "big-picture", "status": "published", "current": true, "publishedAt": "2026-08-24T17:00:00Z", "updatedAt": "2026-08-29T17:00:00Z", "lastCheckedAt": "2026-08-29T17:00:00Z", "headline": "Why data centres became a public villain—and what a better bargain would look like", "summary": "Until very recently, most people had no reason to think about data centres. We called their work ‘the cloud,’ which made the whole arrangement sound pleasantly weightless. Then the generative-AI boom arrived, and the cloud acquired walls. The question is not whether every…", "url": "/newsstand.html#big-picture-data-centre-deal-2026-08-24", "themes": [ "data centres", "community agency", "public infrastructure" ], "concepts": [ "compute infrastructure", "externalities", "efficiency", "decision rights" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "front-paige-accountable-systems-2026-08-24", "edition": "daily", "status": "published", "current": true, "publishedAt": "2026-08-24T17:00:00Z", "updatedAt": "2026-09-07T21:02:30.701Z", "lastCheckedAt": "2026-09-07T21:02:30.701Z", "headline": "AI is reshaping work. Women need equal access to the opportunities.", "summary": "If there’s an opportunity to learn about AI or help decide how it’s used at work, you can ask to take part. Ask questions when something doesn’t make sense—even if you think everyone else already knows the answer. You don’t need to arrive as an expert to contribute. Employers…", "url": "/newsstand.html#front-paige-accountable-systems-2026-08-24", "themes": [ "women and AI", "workplace AI", "career opportunity" ], "concepts": [ "participation gap", "workflow ownership", "career compounding" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "eu-ai-act-transparency-starts", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-08-03T22:00:00Z", "updatedAt": "2026-08-03T22:00:00Z", "lastCheckedAt": "2026-08-03T22:00:00Z", "headline": "Europe’s AI transparency rules started August 2. Here’s when you should expect a label.", "summary": "If you are in the EU, expect clearer disclosure in the covered situations: direct AI interaction, certain generated or manipulated media, deepfakes, emotion recognition, biometric categorisation and some public-interest text without human editorial control. If you publish or…", "url": "/newsstand.html#eu-ai-act-transparency-starts", "themes": [ "AI transparency", "trust and evidence" ], "concepts": [ "provenance", "disclosure", "evidence" ], "correction": null, "correctionHistory": [], "retraction": null }, { "id": "label-is-not-a-truth-detector", "edition": "daily", "status": "published", "current": false, "publishedAt": "2026-07-24T16:00:00Z", "updatedAt": "2026-07-25T19:30:00Z", "lastCheckedAt": "2026-07-25T19:30:00Z", "headline": "The label can tell you it was made with AI. It cannot tell you it is true.", "summary": "Treat provenance as one receipt, not the whole investigation. If a label or content credential is present, use it to understand origin and editing history. Then separately check the claim against a named source, date and original context. If the label is missing, do not assume…", "url": "/newsstand.html#label-is-not-a-truth-detector", "themes": [ "trust and evidence", "AI transparency" ], "concepts": [ "provenance", "watermarking", "verification" ], "correction": null, "correctionHistory": [], "retraction": null } ] }