Why AI companies are signing content deals with publishers
News archives, forums and media libraries are being licensed to AI developers. What these deals include, why they happen and how they relate to copyright fights.
AI Desk3 min read
Section A
Breaking AI news, model releases, big tech moves, funding and the business of AI.
News archives, forums and media libraries are being licensed to AI developers. What these deals include, why they happen and how they relate to copyright fights.
AI Desk3 min read
Where to find reliable data on AI progress, investment, energy and policy: a guide to the most useful annual reports and what each one is best for.
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The 2023 LLaVA paper connected a vision encoder to an open language model and trained it on AI-generated visual instructions, creating an open multimodal assistant.
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EleutherAI's 825 GB Pile combined 22 diverse text sources into an open training set. What it contained, why diversity mattered and the copyright questions it raised.
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Free and open-source options for chat, image generation, transcription, automation and coding assistance — what they are, what you need to run them, and the trade-offs.
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A step-by-step plan to compare a new AI tool with the one you use today: define success, run a side-by-side trial, check data migration, costs and exit options.
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Install Ollama, download an open model, chat in the terminal or a web interface, pick a model that fits your memory and use the local API from your own code.
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From Hugging Face Transformers to llama.cpp, vLLM, Ollama, LangChain and ComfyUI: the open-source projects that form the backbone of today's AI development.
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NVIDIA's lead in AI rests on more than fast GPUs: the CUDA software ecosystem, networking, full systems and developer habits. How the moat formed and its limits.
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A step-by-step approach to assessing whether an AI system treats people fairly: scoping, data review, disaggregated testing, documentation and ongoing monitoring.
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Can AI companies train on copyrighted books, news and images? The key lawsuits, the fair use and text-and-data-mining debates, and how licensing deals fit in.
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Clerical work, writing, coding and customer service rank high for AI exposure — but exposure is not replacement. What the ILO and economists find about jobs and AI.
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Open-weight models bring transparency, competition and access; closed models offer control and safety layers. Why framing it as a binary fight serves no one.
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Fraud detection, credit decisions, customer service, trading, compliance and wealth management: where banks and fintechs use AI, and the rules that constrain it.
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Where generative AI helps insurance teams today — claims summaries, policy Q&A, correspondence, underwriting research — and the guardrails needed for regulated work.
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How to review contracts faster and safely with AI: build a clause playbook, choose tools, test accuracy, protect confidentiality and keep lawyers in control.
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Generative design, building information modeling, site monitoring, energy optimization and safety: where AI helps architects and builders design and build better.
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Automated valuations, AI listing descriptions, virtual staging, property search and tenant screening: how AI is used in real estate and the fair housing concerns.
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