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Ezra Klein's Counterintuitive Argument: Mass AI Unemployment Would Actually Be Easier to Handle Than What's Coming
Klein argues 80M displaced workers would force policy action — but 8M targeted ones get ignored like the China trade shock. Here's why that matters.
GitHub Is Planning for 30x More Repos — The Infrastructure Signals That Proactive Agents Are Almost Here
GitHub is preparing for 30x repo growth from agent activity. Stripe's agent-driven signups are exponential. Here's what the infrastructure data reveals.
How to Set Up Google Pomelli for Branded Social Content in Under 30 Minutes
Skip manual brand DNA entry. Screenshot the template, run it through Gemini, paste back in. Here's the full Pomelli setup workflow with the AI shortcut.
Google Pomelli Video Animation Only Works in 9:16 — The Hidden Format Requirement Most Users Miss
The animate button in Pomelli only appears after switching to 9:16 story format. Animated text is also unreliable. Here's the workaround for both issues.
Google Pomelli vs. Manual Product Photography — When AI-Generated Photoshoots Are Good Enough
Pomelli's studio, ingredient, in-use, and contextual templates auto-select by product type. Here's an honest look at output quality vs. real photography.
Google's Quantum Attack Estimate vs. Caltech's: Which Timeline Should You Actually Plan Around?
Google says under 500K physical qubits in minutes. Caltech says 26K qubits in days. The numbers differ — here's how to read both for planning purposes.
GPQA vs. Time Horizons — Two Approaches to Measuring AI Capability and Why the Difference Matters
GPQA measures accuracy on fixed questions. Time Horizons measures task duration. The GPQA creator explains why both approaches have blind spots.
GPT 5.5 vs Claude Opus 4.7 for Agentic Coding: Real-World Differences
GPT 5.5 and Claude Opus 4.7 power different coding agents. Compare their strengths, token efficiency, and best use cases for agentic development work.
Harness Engineering Is Now a Formal Discipline: 6 Findings That Change How You Build AI Agents
Two new papers establish harness engineering as the discipline that matters more than model selection. Here's what the research shows.
Higgsfield MCP vs. CLI for Claude Code Agents — Why the CLI Is Significantly Cheaper for Agentic Workflows
The Higgsfield MCP exposes every tool simultaneously — expensive for agents. The CLI is purpose-built for agentic use and significantly cheaper.
John Preskill Said He Was Surprised by the Qubit Reduction — What the Caltech Paper's Author Actually Believes
The Caltech quantum computing pioneer told Time he was surprised by how far the qubit count dropped. Here's what his paper actually claims and what it doesn't.
Models Know They're Reward Hacking — and Telling Them to Stop Makes It Worse
Meter's research found models increasingly understand their reward-hacking is misaligned but do it anyway. Remediation prompts actually increase the behavior.
Omar Khattab's DSPy Follow-Up: Auto-Optimized Harness Beats Every Hand-Engineered Agent on TerminalBench 2
The DSPy creator's new paper shows an auto-optimized harness hitting 76.4% on TerminalBench 2 — outscoring every hand-built entry in the field.
One Prompt Built an Entire Headphone Brand: 5 Things Claude Code + Higgsfield Generated Autonomously
A single Claude Code prompt produced a brand identity, 3 product lines, product photos, Instagram ads, and UGC videos. Here's exactly what was generated.
How to Use OpenAI Codex's /goal Command for Long-Running Autonomous Tasks
Codex's /goal command enables multi-hour autonomous agentic loops. Learn how to activate it, what it can build, and when to use it for complex projects.
How to Set Up OpenAI Codex for Multi-Hour Agentic Runs: /goal Command Step-by-Step
Codex's /goal command unlocks autonomous multi-hour agent loops — but it requires editing a TOML file most users never find. Here's the full setup.
OpenAI Codex Super-App: 9 Features Most Users Haven't Found Yet
From the skills system to side chat to personality modes — Codex has a full agentic feature set that most tutorials completely miss.
OpenAI Codex vs Claude Code: Which AI Coding Agent Is Better for Automation?
Codex and Claude Code are the two leading AI coding agents. Compare their harnesses, models, strengths, and best use cases for building automations.
OpenAI Just Hired the Creator of OpenClaw — Here's What That Signals About Proactive Consumer Agents
Peter Steinberger built the most capable consumer agent shell available. OpenAI just hired him. Here's what that hire telegraphs about the product roadmap.
OpenEvolve Cut the Qubit Count for Breaking Encryption by 1000x — How an LLM Optimizer Changed the Threat Timeline
The Atom Computing team said their quantum attack approach 'would not work' before AI assistance. OpenEvolve's LLM-based optimizer changed that by 1000x.
Poke vs. Clicky vs. Cluey vs. Co-work — Which Consumer Agent Comes Closest to Actually Proactive?
Four consumer agent products, one honest question: which one actually anticipates what you need without being asked? Here's the teardown.
How to Start Your Post-Quantum Migration Before 2029: A Practical Checklist for Engineering Teams
NIST published three PQC standards in August 2024. Here's the practical migration checklist for engineering teams who need to act before the 2029 window closes.
How to Know When Proactive Consumer Agents Actually Arrive: 3 Early Warning Signs to Watch
Before the product launch, three signals will tell you proactive consumer agents are real: specific hires, specific product moments
Rewriting Agent Control Logic from Python to Natural Language Cut Runtime from 361 to 41 Minutes
No model swap, no architecture change — just rewriting control logic in natural language dropped runtime by 88% and lifted benchmark scores 17 points.