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Target URL
https://john-dixon-briefing.pages.dev/
Page Title
The KYL Thesis — A Quick Briefing for John Dixon
Status
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john-dixon-briefing.pages.dev
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cloudflare
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United States
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CLOUDFLARENET
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Valid Until
2027-03-23 17:03:53
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john-dixon-briefing.pages.dev
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Technology Stack Analysis
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Cloudflare
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Cloudflare is a web-infrastructure and website-security company, providing content-delivery-network services, DDoS mitigation, Internet security, and distributed domain-name-server services.
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External Links 15
MoneyCIO Magazine5 min readAI Agent Platforms Could Push Down SaaS License CostsCIO Magazine on how agentic AI is giving enterprises real leverage against bloated SaaS pricing. The negotiation window is open — and the alternative (building your own) just got dramatically more viable.The takeaway → Ownable AI isn't just smarter — it's dramatically cheaper.
www.cio.com
Target URL
https://www.cio.com/article/4136820/ai-agent-platforms-could-push-down-saas-license-costs-report-argues.html
ArticleMyGo Consulting6 min readEnterprise Software in 2026: AI Hype, SaaS Hangovers, and What Actually Matters NowSobering look at how vendors quietly added "AI uplift" to pricing models. SaaS costs going up annually "in ways that are almost as bad as healthcare." Customers are pushing back, and building custom is winning.The takeaway → That renewal-cycle pain? There's a real alternative now.
mygoconsulting.com
Target URL
https://mygoconsulting.com/blog/sap-garage/enterprise-software-in-2026-ai-hype-saas-hangovers-and-what-actually-matters-now
ResearchSwfte AI7 min readOpen Source LLMs: How Enterprises Save 86% on AI Costs in 2026The economics laid bare. Open-source models hit 80% of proprietary feature parity at a fraction of the cost. Organizations processing 10M+ tokens monthly reach cost parity with self-hosted infrastructure within 18 months. After that, it's pure savings.The takeaway → The ROI case is already proven. This isn't speculative.
www.swfte.com
Target URL
https://www.swfte.com/blog/open-source-llm-cost-savings-guide
ArticleIT Pro5 min readOpen Source AI Models Are Cheaper and Perform on Par — So Why Aren't Enterprises Flocking to Them?Linux Foundation data showing open-source AI matching proprietary on performance at dramatically lower cost. The gap isn't capability anymore — it's awareness and integration expertise. That's exactly where KYL lives.The takeaway → The gap isn't capability anymore — it's integration expertise.
www.itpro.com
Target URL
https://www.itpro.com/software/open-source/open-source-ai-performance-cost-savings-proprietary-models-linux-foundation
VideoApple Developer~25 min watchMeet the Foundation Models Framework — WWDC25The big one. Apple gave every app developer free access to the on-device LLM that powers Apple Intelligence. Three lines of code and your app has AI — running locally, offline, zero cloud cost. Skip the code parts; the first 10 minutes paint the picture beautifully.The takeaway → Apple made on-device AI a free platform feature. No licence. No API fees.
developer.apple.com
Target URL
https://developer.apple.com/videos/play/wwdc2025/286/
VideoAppleSkim the AI bitsWWDC25 Keynote — Apple Intelligence SectionHow Apple is layering local AI into everything — translation, Visual Intelligence, automation across apps. The on-device model handles the everyday. The cloud only kicks in for heavy reasoning. That's the hybrid architecture.The takeaway → Local model handles the everyday. Cloud only for heavy reasoning. That's the hybrid architecture.
developer.apple.com
Target URL
https://developer.apple.com/videos/play/wwdc2025/101/
ResearchApple ML Research10 min read (skim-friendly)Updates to Apple's On-Device and Server Foundation ModelsFrom Apple's ML team: a ~3B parameter model running on your phone handles summarization, text understanding, and dialog. The server model only engages for complex reasoning. Not a chatbot — an automation engine with a hybrid fallback.The takeaway → Technical proof that local + cloud hybrid is Apple's core architecture.
machinelearning.apple.com
Target URL
https://machinelearning.apple.com/research/apple-foundation-models-2025-updates
ArticleWebProNews6 min readMicrosoft's Next Windows Overhaul: AI Agents and the End of Windows as You Know ItMicrosoft is restructuring Windows to be an AI platform. Not adding AI — rebuilding around it. Agents in the taskbar, on-device processing via Copilot+ PCs, open-source models running on local hardware through Windows AI Foundry.The takeaway → Microsoft sees the OS as the AI delivery layer. Not a SaaS login page.
www.webpronews.com
Target URL
https://www.webpronews.com/microsofts-next-windows-overhaul-ai-agents-a-redesigned-start-menu-and-the-end-of-windows-as-you-know-it/
Keynote RecapCreative Strategies5 min readMicrosoft Build 2025: Satya Nadella Unveils the "Open Agentic Web"Nadella's vision: AI that doesn't just answer — it completes tasks across platforms. Windows AI Foundry as a unified platform for running open-source AI models on your own hardware. "Open" is the operative word.The takeaway → Even Microsoft is saying "run open models locally." The disruption is coming from the top.
creativestrategies.com
Target URL
https://creativestrategies.com/research/microsoft-build-2025-satya-nadella-unveils-the-open-agentic-web-and-redefines-ai-development/
SessionGoogle I/O 2025Session recordingGoogle I/O 2025: Small Language Models with Google AI EdgeGoogle's Gemma 3n: a multimodal on-device model — text, image, video, audio — at 529MB. Runs at 2,585 tokens/second on a phone GPU. Google is going all-in on small, free, local models.The takeaway → Apple, Microsoft, Google. Three for three. All building local-first.
io.google
Target URL
https://io.google/2025/explore/technical-session-4/
ArticleInfoWorld8 min readEdge AI: The Future of AI Inference Is Smarter Local ComputeClear-eyed overview of why AI inference is moving to the edge. Latency, privacy, cost, and architecture — the case for local compute is overwhelming. The hybrid model: local handles real-time, cloud handles heavy reasoning.The takeaway → This is the architectural blueprint worth understanding.
www.infoworld.com
Target URL
https://www.infoworld.com/article/4117620/edge-ai-the-future-of-ai-inference-is-smarter-local-compute.html
MoneyEquinix6 min readEdge AI Inference Isn't All at the EdgeThe killer stat: hybrid edge-cloud AI workloads deliver energy savings of up to 75% and cost reductions exceeding 80% compared to cloud-only. The economics of ownable infrastructure are already proven at scale.The takeaway → 80% cost reduction. That's not an optimisation — it's a different business model.
blog.equinix.com
Target URL
https://blog.equinix.com/blog/2025/12/03/edge-ai-inference-isnt-all-at-the-edge/
ResearchIEEE Spectrum5 min readSmall Language Models: Edge AI InnovationIEEE Spectrum on why smaller, specialized models beat massive cloud models for specific tasks. An NVIDIA research paper argues "Small Language Models are the Future of Agentic AI." When NVIDIA says small is the future, listen.The takeaway → NVIDIA is saying you don't need the biggest model — you need the right one, running locally.
spectrum.ieee.org
Target URL
https://spectrum.ieee.org/small-language-models
ResearchGoldman Sachs8 min readWhat to Expect From AI in 2026: Personal Agents, Mega Alliances, and the Gigawatt CeilingGoldman's CIO (former AWS VP): "AI models are becoming operating systems that independently access tools to perform tasks." Not chat windows. Not SaaS dashboards. Operating systems. This is Wall Street validating the thesis.The takeaway → When Goldman Sachs frames AI as infrastructure, not software licences, the market is turning.
www.goldmansachs.com
Target URL
https://www.goldmansachs.com/insights/articles/what-to-expect-from-ai-in-2026-personal-agents-mega-alliances
Counter-betOsaurus AIWorking productOsaurus: "Inference Is All You Need. Everything Else Can Be Owned By You."A macOS-native app built on Apple Silicon that runs open models locally — Llama, Qwen, Gemma — with full privacy and offline capability. Their thesis: AI models are commoditising, but your context, your memory, and your tools are irreplaceable. They're betting against the cloud-platform-owns-everything model. Built in Swift. No Electron. Cryptographic identity. Interesting people making an interesting bet.Why it matters → Someone is actually shipping the local-first, user-owned AI thesis as a product right now.
osaurus.ai
Target URL
https://osaurus.ai/
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