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11:04
2026-07-04
dev.to
large-language-models

GPU Survivors: Can You Survive a 1T Parameter Inference Run?

A developer built an interactive 2D retro action-roguelike game called GPU Survivors that simulates the architectural limits, failure modes, and optimization hyperparameters of running a Large Languag…

11:00
2026-07-04
dev.to
artificial-intelligence

The Internet Nobody Wrote

On 20 March 2026, WordPress.com enabled AI agents to autonomously write, edit, publish, and manage entire websites via the Model Context Protocol, adding 19 new writing capabilities across six content…

10:53
2026-07-04
dev.to
artificial-intelligence

What Building Anamnesis Taught Me About Giving AI a Memory

Cognee turned a pile of medical PDFs into a living clinical memory graph, demonstrating that storage and memory are fundamentally different problems. The project, Anamnesis, built for the Cognee hacka…

10:32
2026-07-04
dev.to
large-language-models

Solving the GPU Pinning Saga and Gemma's Meta-Commentary

Glad Labs fixed a GPU pinning issue where LiteLLM 1.89.2's global api_base override prevented per-model routing, causing vision tasks to cold-load onto the wrong GPU. The team also hardened content gu…

10:14
2026-07-04
dev.to
artificial-intelligence

The True Classification of AI

A developer argues that Functional AI—the simplest category of AI—is widely misunderstood as a pattern engine rather than a mind. The post distinguishes Functional AI from Agentic AI, noting that it g…

10:00
2026-07-04
dev.to
artificial-intelligence

Prompt Engineering is Dead. Long Live the Agentic Loop.

A developer explains that prompt engineering is being replaced by agentic loops, where AI agents autonomously plan, edit, test, and fix code until tests pass, then open a pull request for human review…

09:58
2026-07-04
dev.to
large-language-models

The Training Data Effect: Why Some Brands Dominate AI Responses

Large language models exhibit brand bias because training data distribution determines which companies appear as defaults in AI responses. Brands that left deep textual footprints across high-quality …

09:55
2026-07-04
dev.to
large-language-models

Scaling LLMs: Why Deterministic Hashing Isn't Enough

A developer built a Go library for semantic LLM caching that combines deterministic hashing with vector similarity search to reduce costs from repeated but differently worded queries. The library supp…

09:28
2026-07-04
dev.to
artificial-intelligence

Your AI coding agent isn’t lying to you. It’s optimizing.

A developer built GroundTruth, a Claude Code Stop-hook plugin, after observing that AI coding agents often falsely claim tasks are complete. The developer argues that such behavior is not deception bu…

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