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Scan Information
Last checked:March 23, 2026 18:48:30
Target URL:https://kyl-rabbit-hole.pages.dev/
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Page Information
Target URL
https://kyl-rabbit-hole.pages.dev/
Page Title
Down the Rabbit Hole — KYL Solutions
Status
Active
Host Information
Domain
kyl-rabbit-hole.pages.dev
Server
cloudflare
Country
United States
IP Address
172.66.44.240
ASN Information
13335
CLOUDFLARENET
Technologies
HSTS
Security
Cloudflare
CDN
HTTP/3
Miscellaneous
SSL Certificate
HTTPS Enabled
Secure
Certificate Issuer
N/A
Valid From
2026-03-22 18:48:34
Valid Until
2027-03-23 18:48:34
Subject Name
kyl-rabbit-hole.pages.dev
Performance Statistics
5
Total Requests
3
Domains
3
IP Addresses
462.95 KB
Transfer Size
Content Size649.17 KB
HTTP Headers
Access-Control-Allow-Origin
*
CF-RAY
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Cache-Control
public, max-age=0, must-revalidate
Connection
keep-alive
Content-Encoding
br
Content-Type
text/html; charset=utf-8
Date
Mon, 23 Mar 2026 18:48:34 GMT
ETag
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Nel
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Report-To
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Server
cloudflare
Transfer-Encoding
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referrer-policy
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x-content-type-options
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15 headers detected
Technology Stack Analysis
HSTS
Security
HTTP Strict Transport Security (HSTS) informs browsers that the site should only be accessed using HTTPS.
Cloudflare
CDN
Cloudflare is a web-infrastructure and website-security company, providing content-delivery-network services, DDoS mitigation, Internet security, and distributed domain-name-server services.
HTTP/3
Miscellaneous
HTTP/3 is the third major version of the Hypertext Transfer Protocol used to exchange information on the World Wide Web.
External Links 10
VideoKTG Analysis~15 minBitNet: Run 100B AI Models on Your CPU — No GPU Needed1-bit quantisation: model weights represented as {-1, 0, 1} instead of floating point. If this scales, CPUs become viable for AI inference. The entire cost model changes.
www.youtube.com
Target URL
https://www.youtube.com/watch?v=A9t7C8e3nss&t=615s
VideoFireship~5 minBig Tech in Panic Mode… Did DeepSeek R1 Just Pop the AI Bubble?DeepSeek trained for $5.6M what OpenAI spent $100M+ on, and wiped $600B off NVIDIA's market cap in a day. The Jevons Paradox angle is the real mind-bender: cheaper AI doesn't reduce demand — it explodes it.
www.youtube.com
Target URL
https://www.youtube.com/watch?v=Nl7aCUsWykg
VideoYouTube~12 minApple's M5 Max Changes the Local AI StoryReal benchmarks: M5 Max running LLMs 2.4-4x faster than M4 Max via MLX. Apple is quietly building unified-memory machines that run 670B-parameter models locally. No other consumer hardware comes close.
www.youtube.com
Target URL
https://www.youtube.com/watch?v=XGe7ldwFLSE
Deep CutAI Bites~10 minLLaDA: Large Language Diffusion ModelsWhat if the entire "predict next token" paradigm that powers every LLM is the wrong architecture? LLaDA generates text via diffusion — denoising all tokens simultaneously — and matches LLaMA3 8B. Early, but genuinely paradigm-questioning.
www.classcentral.com
Target URL
https://www.classcentral.com/course/youtube-llada-large-language-diffusion-models-paper-explained-434411
ResearchGoogle Research10 min readLooking Back at Speculative DecodingFrom the inventors. Small model drafts tokens, big model verifies — 3x faster inference, identical output quality. Google already ships this in Search AI Overviews. The hybrid thesis isn't theoretical.
research.google
Target URL
https://research.google/blog/looking-back-at-speculative-decoding/
ArticleNVIDIA Developer Blog12 min readIntroduction to Speculative DecodingNVIDIA's own explanation of why small + big beats just big. The counterintuitive insight: GPUs sit idle 98% of the time waiting for memory. Running two models is faster than running one.
developer.nvidia.com
Target URL
https://developer.nvidia.com/blog/an-introduction-to-speculative-decoding-for-reducing-latency-in-ai-inference/
VideoNetworkChuck~20 minHost ALL Your AI LocallyThe practical version: setting up a local AI server with open-source models, running inference on your own hardware. No API keys, no monthly fees, no data leaving your network. This is what "ownable AI" looks like in practice.
www.youtube.com
Target URL
https://www.youtube.com/watch?v=Wjrdr0NU4Sk
ResearcharXivAcademic paperNative LLM and MLLM Inference at Scale on Apple SiliconAcademic paper showing MLX on Apple Silicon isn't a toy. M-series Macs running 70B+ parameter models with serious throughput. The hardware thesis behind the Apple story — written by researchers, not marketing.
arxiv.org
Target URL
https://arxiv.org/html/2601.19139v1
Deep CutHugging Face / MicrosoftModel cardBitNet b1.58 2B4T — First Natively Trained 1-Bit LLMWhere BitNet stops being a research paper and starts being a deployable model. MIT licensed. 4 trillion training tokens. 2 billion parameters in ternary weights. Download it, run it, own it.
huggingface.co
Target URL
https://huggingface.co/microsoft/bitnet-b1.58-2B4T
ArticleStratechery (Ben Thompson)15 min readThe Benefits of BubblesBen Thompson's thesis: AI bubble spending on physical infrastructure — power, fabs, data centres — has lasting value even if the bubble pops. The value is shifting from software back to physical things. If AI commoditises intelligence, the bottlenecks become copper and cooling systems.
stratechery.com
Target URL
https://stratechery.com/2025/the-benefits-of-bubbles/
Requested Domains 3
fonts.googleapis.com
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fonts.gstatic.com
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kyl-rabbit-hole.pages.dev
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