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@devopslinks shared an update, 1 week, 3 days ago
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Microsoft Project Silica: Your Data, Stored in a Pyrex Dish, for 10,000 Years

Microsoft's Project Silica encodes data in borosilicate glass using femtosecond lasers, offering long-term storage for up to 10,000 years. This method overcomes traditional storage limitations and is cost-effective, though write speed remains a challenge. The research phase is complete, but no product release has been announced.

Microsoft Project Silica: Your Data, Stored in a Pyrex Dish, for 10,000 Years
News FAUN.dev() Team Trending
@varbear shared an update, 1 week, 3 days ago
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Operating Systems as Age Gatekeepers: The Law That Could Reshape the Internet

California's Digital Age Assurance Act mandates operating systems to share users' age data with app developers via a real-time API by 2027. The law faces criticism for depending on self-reported ages, potentially affecting its efficacy.

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@varbear shared a link, 1 week, 5 days ago
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The Great Developer Divide: How AI Is Reshaping the Software Job Market Into Three Tiers

AI hiring has split dev work into three camps:Apex Tier,Hybrid Middle, and a shrinkingAutomatable Tail. Demand now favorsAI orchestration,prompt engineering, fastcode reading, and platform roles likeplatform engineer,fleet supervisor, andAI QA. System shift:Organizations must rework career ladders, .. read more  

The Great Developer Divide: How AI Is Reshaping the Software Job Market Into Three Tiers
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@varbear shared a link, 1 week, 5 days ago
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We Might All Be AI Engineers Now

The author supervises AI agents that orchestrate concurrent graph traversal, multi-layer hashing, AST parsing, and file system watchers. The agents run traversal, hashing, and watcher loops. The engineer architects system behavior, verifies outputs, and probes agents in parallel to debug... read more  

We Might All Be AI Engineers Now
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@varbear shared a link, 1 week, 5 days ago
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Build agents that run automatically

Agents trigger from schedules, Slack, Linear, GitHub, PagerDuty events, or customwebhooks. They spin upcloud sandboxes. They run configuredMCPsand models. They verify outputs. They use amemorytool. Cursor automates security audits on pushes. Scores PR risk and auto-approves low-risk changes. Runs Pa.. read more  

Build agents that run automatically
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@varbear shared a link, 1 week, 5 days ago
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I deleted my laptop from my dev workflow. My iPhone does the job now

A developer ditches the laptop and SSHs from an iPhone into an always-onMac Mini. The phone becomes a terminal and browser. The remote runs the dev server, theClaude Code/CodexCLI, hot reload, file watching, and pushes viaTailscale. Persistent sessions (tmux) keep AI agents and services alive across.. read more  

I deleted my laptop from my dev workflow. My iPhone does the job now
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@varbear shared a link, 1 week, 5 days ago
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Zen: A Minimalist HTTP Library for Go

Unkey builtZen- a thin HTTP framework on Go'snet/http. It restores precise middleware ordering and lets middleware run after errors to capture the final response. Zen poolsSessionobjects to cut allocations. It emits RFC7807problem+jsonfor tagged domain errors. It runs OpenAPI validation before handl.. read more  

Zen: A Minimalist HTTP Library for Go
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@kaptain shared a link, 1 week, 5 days ago
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It's Not Kubernetes. It Never Was

The complexity in managing Kubernetes clusters is a reflection of the organizational decisions and lack of processes within the teams operating them. The move towards multi-cloud environments without sufficient planning or resources has exacerbated these issues. Platform engineering solutions offer .. read more  

It's Not Kubernetes. It Never Was
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@kaptain shared a link, 1 week, 5 days ago
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How WebAssembly plugins simplify Kubernetes extensibility

Helm 4runsWebAssembly (Wasm)plugins to executeWASImodules insideOCIcontainers and VMs.Helmtemplates standardize module lifecycle. The Wasm plugin adds instruction-level sandboxing and Kubernetes segmentation.Helm 4preserves portability acrossx86/ARM. Compared withHelm 3plugins, it shows up to a 40% .. read more  

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@kaptain shared a link, 1 week, 5 days ago
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pg_plan_alternatives: Tracing PostgreSQL’s Query Plan Alternatives using eBPF

The tracer hooks PostgreSQL's optimizer via eBPF. It captures every alternative plan path with cost estimates and flags the chosen plan. A kernel-space eBPF program reads planner structs using DWARF-derived offsets. A user-space collector gathers the data and a visualizer renders plan graphs. eBPF p.. read more  

INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.