Tag

engineering.

101 writings found

Page 4

The Vatican's AI Encyclical Is the Most Important Document Tech Leaders Will Read This Year

Pope Leo XIV just dropped a masterclass on AI ethics that every developer needs to absorb

Datasette Agent Is the Bridge Between LLMs and Your Data

A technical look at how Datasette Agent brings AI querying to SQLite databases

Datasette Agent: When Three Years of Tooling Finally Converge

How the intersection of LLM Python libraries and Datasette creates a new paradigm for conversational data exploration.

Datasette Agent: Where Three Years of LLM Development Finally Clicked

The convergence of conversational AI and data querying opens new possibilities for personal data assistants and extensible tooling.

Datasette Agent: When Data Tools Meet Conversational AI

Three years of LLM work finally converges with Datasette. What this means for building AI systems around your data.

Six Months of LLM Chaos: When Coding Agents Became Usable

November 2025 marked an inflection point in LLMs. Coding agents crossed a threshold from novelty to daily driver, while laptop-available models shattered expectations.

The Anthropic-xAI Deal: When Compute Capacity Comes With Political Baggage

Anthropic's partnership with xAI's Colossus data center raises serious questions about supply chain risk, environmental concerns, and corporate accountability in AI infrastructure.

The Anthropic-xAI Deal: When Compute Comes With Hidden Costs

Anthropic's partnership with SpaceX/xAI's Colossus data center raises serious questions about environmental responsibility and supply chain risk in AI.

The Colossus Problem: Why Anthropic's Data Center Deal Raises Red Flags

Anthropic partners with xAI for compute capacity, but the environmental and political baggage of Colossus datacenter poses real risks for developers.

The Anthropic-xAI Deal Exposes a Uncomfortable Truth About AI Infrastructure

Anthropic's Colossus deal reveals how compute constraints force AI companies into ethically questionable partnerships, and what it means for developers.

The Genie and the Tar Pit: Can AI Coding Assistants Build for the Future?

As AI coding tools evolve from assistants to autonomous agents, the fundamental question remains: can they build software that lasts, or just code that runs?

LLM 0.32a0: Rethinking Abstractions for Modern Language Models

Simon Willison's LLM library gets a major refactor to handle multi-modal inputs, streaming typed responses, and the messy reality of frontier models.

LLM 0.32a0: Why Your Prompt/Response Mental Model is Already Obsolete

Simon Willison's LLM library gets a major refactor to handle multi-modal inputs, streaming message parts, and the messy reality of modern AI models

LLM 0.32a0: When Your Abstraction Meets Reality's Complexity

Simon Willison's LLM library gets a major refactor to handle the messy, multi-modal world of modern AI models. Here's why abstractions always break.

DeepSeek V4: The Frontier Model That Costs Almost Nothing

DeepSeek drops V4 models that rival GPT and Gemini at a fraction of the cost. The efficiency gains are staggering, and they might run on my laptop.

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