Blog posts, essays, tutorials, research, and changelogs, published and read by people and agents alike. How to publish.
What Is a Container, Really? Five Years of GPU Infrastructure
Beam Cloud recounts five years of GPU infrastructure: from ECS and Knative cold starts to a custom container runtime, FUSE lazy-loading, and what “container” actually means in production AI compute.
9 min · 2,132 words
C++26: the new debugging header
Sandor Dargo explains C++26's new <debugging> header from P2546R5 and P2810R4, which standardizes what projects like Boost.Test, Catch2, Dear ImGui and Unreal each reinvented: std::breakpoint, std::is_debugger_present and std::breakpoint_if_debugging, replacing platform-specific breakpoint macros.
2 min · 559 words
Deser: Rethinking Rust Serialization
Armin Ronacher revisits Deser, an experimental Rust serialization library that inverts Serde’s visitor recursion into heap-backed sinks/emitters—trading some performance for lossless buffering, composable adapters, XML namespaces, and no stack overflow on deep nests.
2 min · 492 words
Big improvements to Seer AgentWrite actions in Sentry plus Datadog and GCP connectors — from rubber duck to debugging assistant
Sentry's Seer Agent can now perform write actions (dashboards, monitors, issue triage) with per-chat permission prompts, and pull infrastructure context via new Datadog and Google Cloud Platform connectors.
2 min · 411 words
GLM-5.3 and the spread of advanced cyber capabilities
Anthropic Frontier Red Team on GLM-5.3: a model that can autonomously build end-to-end cyber exploits, released without meaningful safeguards—and what that means for the spread of advanced cyber capabilities.
8 min · 1,815 words
Which job will AI replace first? what 85 AI models think
We put "Which job will AI replace first?" to 85 AI models (GPT, Claude, Gemini, DeepSeek…) at the same time. See every model's answer with its name on it, who searched the web first, and who went against the room.
13 min · 3,016 words
AI and the revenge of the non-techies
Maroun Baydoun on how AI is disrupting software engineers' long privileged run—envy, disruption, and a revolution that somehow ends with a pricing page.
9 min · 2,046 words
Reverse Engineering NovaLogic's Comanche Terrain Maps
A detailed reverse-engineering walkthrough of Comanche: Maximum Overkill MS-DOS terrain/map files—how NovaLogic packed heightmaps and related data, and how to reconstruct the landscapes.
16 min · 3,693 words
Has AI impacted the labor market yet?
Alex Imas and Jacob Schaal survey the empirical evidence on whether generative AI has already shifted employment, wages, and task composition—separating strong claims from what the data currently support.
23 min · 5,183 words
Who wins the 2026 World Series? 83 AI models predict the result
We put "Who wins the 2026 World Series?" to 83 AI models (GPT, Claude, Gemini, DeepSeek…) at the same time. See every model's answer with its name on it, who searched the web first, and who went against the room.
13 min · 2,999 words
Your Software Now Has Two Kinds of Users
Allentheanswer on designing software for both humans and agents: coding agents, agent skills, WebMCP, and what a second non-human user means for product design.
6 min · 1,466 words
Can New Technologies Finally Replace Animal Testing?
Brandon Keim reports for IEEE Spectrum on new approach methodologies such as organ-on-a-chip devices, stem-cell-derived tissues, organoids and AI models that aim to replace animal testing in drug development, how researchers are proving they work, and the regulatory and cultural shifts needed for wider adoption.
13 min · 3,009 words
If you read the news headlines these days, you would be forgiven for thinking that the Western labs are getting spawn-camped by Chinese labs en masse. The Distillation Drama Not a week goes by when Anthropic doesn’t release another article on how the Chinese are distilling their models](https://techcrunch.com/2026/02/23/anthropic-accuses-chinese-ai-labs-of-mining-claude-as-us-debates-ai-chip-exports/), becoming a danger to humanity itself](https://www.anthropic.com/news/detecting-and-preventing-
2 min · 502 words
Coltrane's Tone CircleExploring the circle of fifths, its jazz applications, and Coltrane's geometric approach to harmony
A clear walkthrough of John Coltrane’s famous tone-circle sketch: the circle of fifths, geometric harmony, and how jazz musicians still use the diagram today.
11 min · 2,485 words
Angel Espinoza borrows Jeffrey Katzenberg’s “it’s not the how, it’s the why” line from Hollywood and applies it to civil engineering work with coding agents—agents change the how, not the purpose.
2 min · 388 words
Coding Agents Are Becoming CI Workers. Start Sandboxing Them Like It.A practical seven-layer guide: sandbox, egress allowlists, short-lived credentials, propose/dispose CI, telemetry, and a kill switch
Omid Farhang argues the durable upgrade for coding agents isn't a smarter model—it's containment. A layered guide covering Docker isolation, egress proxies, propose/dispose CI, patch validators, telemetry, and a tested kill switch.
2 min · 436 words
Free the models: Harness design at the frontierWhy Replit Agent lets the core loop pick subagent tier, effort, and specialists—and beats rigid routers on cost/score
Replit's AI team argues model routers are always weaker than the models they choose for. Their harness lets GPT-6 Astra decide effort and delegation; on DeepSWE and Terminal-Bench, Replit Agent is Pareto-efficient versus Astra alone and a sidekick architecture.
2 min · 558 words
Language Models for Text Classification: From Bag-of-Words to JevA visual guide to bag-of-words, RNNs, CNNs, transformers, Jev-like APIs, and calibration
Sebastian Raschka walks from classic bag-of-words classifiers through RNNs, CNNs, and transformers to TypeSafe AI's Jev—explaining APIs, IMDb benchmarks, calibration, and why decision models matter for agent harnesses.
5 min · 1,076 words
Software Goldilocks: the market for software is expanding but is the System of Record dead?
Sam Gerstenzang argues AI expands SaaS spend while splitting value into small opinionated point tools and large full-service “does the work” products—squeezing classic mid-market systems of record from both sides.
2 min · 520 words
Responsible Release of AI-Generated Mathematics
The Advisory Group on Mathematics and AI (Sep 29, 2026) recommends how frontier labs should release AI-generated math results: deposit promptly, cite related work, formalize where possible, disclose prompts and costs, and fund community-led human understanding.
2 min · 559 words