CAIA
@CAIA_UK
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Welcome to Construction AI Assistant (CAIA) The first AI powered software built for the Construction Industry Improving efficiency in your Construction Business
Joined October 2023
The line between human and machine journalism is blurring. Oxford University’s 2025 Digital News Report found readers increasingly struggle to distinguish AI-generated from human-written stories, though credibility ratings drop by 12% when AI authorship is disclosed. #AIEthics
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Is AI writing your morning headlines? Possibly. Associated Press and Bloomberg have long used AI for financial reports, but 2025 surveys show a rise in AI-generated local news and sports coverage, especially through tools like ChatGPT and Grok. Oversight remains key to trust.
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AI-written news is no longer futuristic — it’s mainstream. Studies by Reuters Institute (2025) show that over 30% of global newsrooms now use generative AI tools for drafting articles, headlines, or data summaries. Human editors remain essential for credibility and ethics. #AI
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Social and Ethical Impact AI’s influence extends beyond business—it’s redefining society. From healthcare diagnostics to smart city infrastructure, AI improves quality of life while raising questions of ethics, fairness, and accountability. Building a responsible AI future
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Workforce and Skills Revolution AI isn’t just reshaping jobs—it’s reshaping skills. The World Economic Forum forecasts 40% of core job skills will change by 2027 due to AI and automation. The future of work demands lifelong learning, adaptability, and collaboration
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Economic Transformation AI is redefining global productivity. McKinsey estimates AI could add up to $4.4 trillion annually to the world economy, equivalent to the GDP of Japan. From automating workflows to powering predictive analytics, AI is driving efficiency and
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Generative AI Generative AI creates new content — text, images, music, or video — by learning from patterns in existing data. It works through deep learning models that generate original results from prompts, turning data into creativity. #GenerativeAI #AIFuture #Innovation
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Multimodal AI Multimodal AI can understand and connect multiple data types — like text, images, audio, or video — to form unified insights. It works by fusing outputs from several neural networks, letting it ‘see,’ ‘hear,’ and ‘read’ like humans do. #MultimodalAI
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What is multimodal, LLM and generative AI? Simply explained. A thread 🧵 #AI #Multimodal #LLM #Generative
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2025’s entrepreneurial data speaks volumes: ~2,000+ new AI startups per year — one every 4 hours. This surge mirrors a structural shift where AI firms absorb over half of all VC flows, reshaping innovation ecosystems. AI’s startup boom isn’t slowing—it’s scaling towards
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AI startup formation has reached a new daily rhythm: nearly 6 born every 24 hours. Fueled by record $310B in venture funding through Q3 2025, the AI sector now dominates investor priorities. From robotics to healthcare, these startups define next-generation transformation—and
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Every day, around 6 new AI startups emerge globally—injecting innovation into nearly every sector. 2025 marks a historic year: AI firms now attract 51% of total venture funding, a first in startup history. The global count surpasses 33,000 companies—proof that AI
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Agentic, Multimodal, and Everyday AI From Claude 4.5 Sonnet to Google Gemini 2.5 Pro and Microsoft Copilot Studio Wave 2, AI is now unified across text, visuals, and workflow automation. Example: Gemini 2.5 processes legal cases, spreadsheets, and research papers
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AI in Medicine — Accuracy and Early Detection October 2025 marks a leap for healthcare AI. Tools like AI‑powered echocardiography now detect disease signs faster and more consistently than humans, while Delphi‑2M predicts over 1,200 medical conditions across a person’s
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Beyond Language Models — Specialised AI Flourishes AI in 2025 has expanded far beyond chatbots. From DeepMind’s AlphaEvolve, which discovers new theorems, to DeepSeek’s R1 model trained at 70% lower cost, innovation now spans science and scale. Example: In mathematics,
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