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Tag: AI

AI, Development

Autonomous AI agents as a force multiplier, scars included

My agents decided their own heartbeat config was redundant and deleted it, twice. The tiered OpenClaw setup that came out of it: orchestrators for judgment, throwaway personas for tasks, and five Markdown files that hold an agent’s identity.

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AI, Development

AI p-hacking: how LLMs brute-force significance

Frontier models refuse a blunt request to cheat, then brute-force significance when the same request is dressed up as an upper-bound estimate. What that looks like in code, and why observational studies break first.

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Bug Fixing, Development

WordPress.com for Agencies: quit running your own servers

Agencies keep running their own servers to protect margins, then spend their best hours keeping those servers alive. Ajit Bohra moved 80% of LUBUS projects onto WordPress.com for Agencies instead. Here is the workflow and what it takes off your plate.

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AI, Development

AI in data science: what actually changed about the job

Fourteen years of watching “this will kill development” trends come and go, and the pattern holds. AI in data science makes the boring parts faster, then stalls where the ambiguity, the trade-offs and the client relationship begin.

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AI, Development

AI implementation strategy for 2026: fix the process first

Buying every tool with an AI suffix is not a strategy. Splitting autonomous from augmented productivity, why a broken human process makes an agent hallucinate, and where the return on a 2026 AI budget actually sits.

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Development

Quantum computing with Python: qubits, gates and Qiskit

Quantum computing with Python has moved from research papers to something you can simulate on a laptop. Bits versus qubits, what superposition and entanglement actually do, and a first circuit in IBM’s Qiskit.

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AI, AI in WordPress

AI agent reliability: why 85% per step means 20%

An agent that is 85% accurate per step is about 20% accurate over ten steps. Lusser’s Law explains why, the Replit database deletion shows what it costs, and a gatekeeper pattern in PHP puts human review in front of the irreversible actions.

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AI, Development

Building a PyTorch DDP training pipeline that scales

Wrapping a model in DDP is the easy part. The rest of the pipeline is where distributed runs go wrong: process group setup, calling set_epoch on the sampler every epoch, and keeping checkpoint writes on rank 0.

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Core Updates, Development

Why 100k TikTok followers still need a site of their own

Barbara Kingsley is 77 and has 100,000 TikTok followers, but her brand lives on her own domain. Why creators past five figures of followers need an owned WordPress hub, and a small referral handler for the traffic social sends over.

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AI, Core Updates

WordPress AI agents, MCP, and the rest of the changelog

WordPress.com added MCP support, so an AI agent can read and write the site directly. The same update brings a site-wide newsletter default, a command palette shortcut, button state controls, UPI payments for India, and a fixed subscriber chart.

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