---
title: Tech, AI, Cloud, GPU, and Developer Reading Sources
created: 2026-05-29
type: resource
status: review
source_task: t_b7bb9920
parent_task: t_2be850f1
tags:
  - resources
  - reading-list
  - ai
  - cloud
  - gpu
  - developer-tools
---

# Tech, AI, Cloud, GPU, and Developer Reading Sources

This note is a curated review list for Will: high-signal sources across practical AI, infrastructure, cloud/platform operations, GPU/hardware, developer practice, and observability. The selection lens favors deeply technical material, useful operational detail, agent/platform engineering, self-hosted/cloud-native relevance, and sources that can be checked manually or fetched later.

Parent research task `t_2be850f1` reported 42 curated sources, 82 URLs checked, and 74 fetchable URLs. The scratch artifact path recorded by the parent task was no longer present in this worker's filesystem, so this Obsidian report preserves the parent selection intent and provides a reconstructed, verified source list for later review.

Related: [[Resources Home]]

## Fast-start mix

Daily / frequent scan:

- Hacker News — broad early signal across systems, AI, startups, and infrastructure.
- Simon Willison's Weblog — practical LLM, agents, tooling, and implementation notes.
- Hugging Face Blog — applied model, dataset, serving, and open-source AI updates.
- NVIDIA Technical Blog — GPU, CUDA, inference, and performance engineering.
- Kubernetes Blog — upstream platform changes and operational patterns.
- Cloudflare Blog — edge infrastructure, networking, security, and systems writeups.
- Grafana Blog / OpenTelemetry Blog — observability patterns relevant to self-hosted systems.

Weekly / deep review:

- The Pragmatic Engineer — engineering leadership, architecture, and developer industry context.
- Latent Space — AI engineer ecosystem, agents, infrastructure, and model/product trends.
- arXiv cs.AI / cs.CL / cs.LG — primary research feed; skim abstracts and save only actionable papers.
- SemiAnalysis — GPU, datacenter, model economics, and frontier AI infrastructure.
- ServeTheHome / Chips and Cheese — hardware, homelab, servers, CPU/GPU/system-level analysis.
- Google SRE Books — evergreen reliability and operational reference material.

## Curated source table

| # | Source | URL | Category | Why it fits Will |
|---:|---|---|---|---|
| 1 | Hacker News | https://news.ycombinator.com/ | Broad tech discovery | Efficient early-warning feed for software, systems, AI, startups, infra incidents, and technical debates. |
| 2 | Lobsters | https://lobste.rs/ | Broad tech discovery | Smaller technical community with strong signal for programming languages, systems, security, and engineering craft. |
| 3 | The Pragmatic Engineer | https://blog.pragmaticengineer.com/ | Engineering practice | Deep but readable coverage of software engineering organizations, architecture decisions, and industry shifts. |
| 4 | InfoQ | https://www.infoq.com/ | Engineering practice | Broad architecture, DevOps, cloud, and language coverage; useful for tracking mainstream engineering adoption. |
| 5 | High Scalability | https://highscalability.com/ | Engineering practice | Architecture and scaling case studies for distributed systems and high-traffic platforms. |
| 6 | Martin Fowler | https://martinfowler.com/ | Engineering practice | Evergreen design, refactoring, architecture, and delivery writing from a reliable senior engineering perspective. |
| 7 | GitHub Engineering Blog | https://github.blog/engineering/ | Developer practice | Real-world developer platform, scale, security, and productivity engineering from a major dev-tool operator. |
| 8 | Stack Overflow Blog | https://stackoverflow.blog/ | Developer practice | Developer ecosystem trends, surveys, tooling discussion, and practical engineering culture context. |
| 9 | Simon Willison's Weblog | https://simonwillison.net/ | AI and developer tooling | Especially relevant for hands-on LLM/agent experiments, prompting, local tooling, and reproducible demos. |
| 10 | Latent Space | https://www.latent.space/ | AI frontier / AI engineering | Strong AI engineer focus: models, agents, infrastructure, evals, and productized LLM systems. |
| 11 | OpenAI News | https://openai.com/news/ | AI frontier | Primary source for OpenAI model, product, safety, and platform announcements. |
| 12 | Anthropic News | https://www.anthropic.com/news | AI frontier | Primary source for Claude, MCP-adjacent ecosystem, safety, and model/platform announcements. |
| 13 | Google DeepMind Blog | https://deepmind.google/discover/blog/ | AI frontier / research | Frontier research and applied model work from Google DeepMind, useful for deeper context beyond product posts. |
| 14 | Meta AI Blog | https://ai.meta.com/blog/ | AI frontier / open models | Important for Llama/open-model releases, research translation, inference, and ecosystem direction. |
| 15 | Mistral AI News | https://mistral.ai/news | AI frontier / open-weight models | High-signal source for efficient models, open-weight releases, inference products, and European AI infrastructure. |
| 16 | Hugging Face Blog | https://huggingface.co/blog | AI tooling / open source | Practical posts on models, datasets, transformers, serving, agents, and open-source AI tooling. |
| 17 | Cohere Blog | https://cohere.com/blog | Enterprise AI / RAG | Useful for retrieval, enterprise LLM patterns, embeddings, rerankers, and applied model deployment ideas. |
| 18 | arXiv cs.AI recent | https://arxiv.org/list/cs.AI/recent | AI research | Primary feed for artificial intelligence research; best used with abstract triage and paper-saving filters. |
| 19 | arXiv cs.CL recent | https://arxiv.org/list/cs.CL/recent | AI research / NLP | Primary feed for language model, NLP, evaluation, and agent research. |
| 20 | arXiv cs.LG recent | https://arxiv.org/list/cs.LG/recent | ML research | Primary feed for machine learning methods, training, optimization, and evaluation research. |
| 21 | Papers with Code | https://paperswithcode.com/ | AI research tracking | Tracks papers, code, benchmarks, and trending research; useful bridge between papers and runnable artifacts. |
| 22 | BAIR Blog | https://bair.berkeley.edu/blog/ | AI research | Berkeley AI research explainers, robotics, learning systems, agents, and applied research context. |
| 23 | Stanford HAI News | https://hai.stanford.edu/news | AI research / policy context | Research and institutional AI context; useful for broader implications without being purely policy-focused. |
| 24 | EleutherAI Blog | https://blog.eleuther.ai/ | Open AI research | Open research, interpretability, evaluation, dataset, and model-training content from the open LLM community. |
| 25 | NVIDIA Technical Blog | https://developer.nvidia.com/blog/ | GPU / AI infrastructure | Practical GPU acceleration, CUDA, inference, model serving, and performance engineering. |
| 26 | NVIDIA CUDA Zone | https://developer.nvidia.com/cuda-zone | GPU / CUDA reference | Canonical CUDA entry point for GPU programming, libraries, docs, and tooling. |
| 27 | AMD ROCm Blog | https://rocm.blogs.amd.com/ | GPU / ROCm | Tracks AMD GPU software stack, ROCm, performance, and non-NVIDIA acceleration options. |
| 28 | Chips and Cheese | https://chipsandcheese.com/ | Hardware architecture | Deep CPU/GPU/memory/cache architecture analysis for understanding hardware performance tradeoffs. |
| 29 | SemiAnalysis | https://semianalysis.com/ | GPU / AI infrastructure economics | Datacenter, GPU supply chain, model economics, and AI infrastructure analysis; high signal but often partly paywalled. |
| 30 | ServeTheHome | https://www.servethehome.com/ | Hardware / homelab / servers | Server, networking, storage, mini-PC, accelerator, and homelab hardware coverage. |
| 31 | Puget Systems Labs | https://www.pugetsystems.com/labs/ | Workstation / performance | Applied workstation, GPU, content creation, AI, and benchmark-driven hardware guidance. |
| 32 | Kubernetes Blog | https://kubernetes.io/blog/ | Cloud native / platform | Upstream Kubernetes releases, features, SIG updates, and practical platform operations. |
| 33 | CNCF Blog | https://www.cncf.io/blog/ | Cloud native ecosystem | Cloud-native project updates, platform operations, observability, security, and ecosystem trends. |
| 34 | Cloudflare Blog | https://blog.cloudflare.com/ | Edge / networking / security | Strong technical writeups on edge systems, networking, DDoS, security, Workers, and Internet operations. |
| 35 | Tailscale Blog | https://tailscale.com/blog | Networking / self-hosting | Practical mesh networking, WireGuard, identity-aware networking, and self-hosted access patterns. |
| 36 | Fly.io Blog | https://fly.io/blog/ | Platform / distributed apps | Developer-friendly posts on distributed systems, lightweight deployment, regions, databases, and ops. |
| 37 | Google SRE Books | https://sre.google/books/ | Reliability / operations | Evergreen reference for SRE, incident response, SLIs/SLOs, toil reduction, and production operations. |
| 38 | Honeycomb Blog | https://www.honeycomb.io/blog | Observability | Strong writing on production debugging, tracing, observability practice, and sociotechnical ops. |
| 39 | Grafana Blog | https://grafana.com/blog/ | Observability / dashboards | Practical monitoring, metrics, logs, traces, dashboards, and OSS observability ecosystem updates. |
| 40 | OpenTelemetry Blog | https://opentelemetry.io/blog/ | Observability standards | Canonical project feed for telemetry instrumentation, tracing, metrics, semantic conventions, and releases. |
| 41 | Datadog Engineering | https://www.datadoghq.com/blog/engineering/ | Observability / infra engineering | Production-scale engineering posts on observability, security, infrastructure, and reliability. |
| 42 | Oxide Computer Blog | https://oxide.computer/blog | Systems / hardware / cloud | Deep systems, hardware/software co-design, rack-scale computing, and infrastructure engineering. |

## Notes on use

- Prefer RSS or feed-reader subscriptions where available, then promote only the best articles into durable Obsidian notes.
- Keep the daily list small; use the weekly list for deeper review so this does not become another noisy feed pile.
- For arXiv, avoid reading the raw firehose. Filter by topics relevant to agents, inference, evals, RAG, model serving, and systems.
- SemiAnalysis is valuable for infrastructure strategy but can be paywalled; keep it as a manual review source rather than relying on automated fetching.
- AWS Bedrock-specific content is intentionally not emphasized because Will does not currently use Bedrock with Hermes.

## Verification summary

I checked the 42 listed home/list URLs from this worker run. All returned HTTP 200 via a direct GET check. A few sources redirect to canonical URLs, notably Google DeepMind Blog, Papers with Code, NVIDIA CUDA Zone, Puget Systems Labs, and Mistral AI News; the listed URLs remain usable entry points.

## Potential next steps

- Add RSS/feed URLs for each source.
- Turn the fast-start mix into a weekly review checklist.
- Create separate notes for `AI frontier feeds`, `GPU and hardware feeds`, and `Cloud native feeds` if this list gets too large.
