Copilot Terms Claim Microsoft's AI Is for 'Entertainment Purposes Only' - PCMag
Copilot Terms Claim Microsoft's AI Is for 'Entertainment Purposes Only' PCMag
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'Copilot is for entertainment purposes only': Even Microsoft's official terms and conditions say you really shouldn't be using its AI at work - TechRadar
'Copilot is for entertainment purposes only': Even Microsoft's official terms and conditions say you really shouldn't be using its AI at work TechRadar
Show HN: EU Compliance SaaS for Sale ($4K Each) – CBAM, AI Act, Public Tenders
I built 4 SaaS products targeting mandatory EU regulations. Each for $4,000. 1. CBAM OS (cbam-os.com) - EU Carbon Border Tax compliance for importers 2. AIA Proof (aiaproof.com) - AI Act compliance & AI detection 3. AO France (ao-france.fr) - AI-powered public tender responses (FR) 4. AO Copilot (ao-copilot.fr) - BTP tender analysis, 20 modules, 1900+ tests All mandatory regulations = guaranteed market. Modern stack (Next.js, Supabase). Production-ready. Contact: [email protected] Comments URL: https://news.ycombinator.com/item?id=47632626 Points: 1 # Comments: 0
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'Copilot is for entertainment purposes only': Even Microsoft's official terms and conditions say you really shouldn't be using its AI at work - TechRadar
'Copilot is for entertainment purposes only': Even Microsoft's official terms and conditions say you really shouldn't be using its AI at work TechRadar
How I Replaced 6 Paid AI Subscriptions With One Free Tool (Saved $86/Month)
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GR4AD: Kuaishou's Production-Ready Generative Recommender for Ads Delivers 4.2% Revenue Lift
Researchers from Kuaishou present GR4AD, a generative recommendation system designed for high-throughput ad serving. It introduces innovations in tokenization (UA-SID), decoding (LazyAR), and optimization (RSPO) to balance performance with cost. Online A/B tests on 400M users show a 4.2% ad revenue improvement. The Innovation — What the Source Reports A new technical paper on arXiv, "Generative Recommendation for Large-Scale Advertising," details a production-deployed system named GR4AD (Generative Recommendation for ADdvertising) from Kuaishou. The work addresses the core challenge of deploying generative recommendation—which uses sequence-to-sequence models to generate candidate items—in a real-time, large-scale advertising environment where latency and compute budgets are rigid constrai
Why AI Pilots Fail — And the 5 Patterns That Actually Get to Production
If your AI pilot stalled, you’re in the majority. Not a slim majority. An overwhelming one. The numbers across multiple independent studies all point the same direction: most AI pilots never reach production. The problem usually isn’t the technology. It’s five predictable patterns in how organizations plan, resource, and execute these projects. All five are fixable once you can identify which one you’re dealing with. I gave a presentation on this topic at the NEDME conference in Hillsboro, Oregon. The video covers a lot of the ground we’ll dig into here, including the validate-first framework and practical examples of how to break down large AI initiatives into projects that actually deliver ROI. The Numbers: AI Pilot Failure Is the Norm Four independent studies, different methodologies, s
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