Category: tech > ai > llm

Ollama 0.18 now uses Apple's MLX framework on Apple Silicon, delivering major speedups for local LLM inference. The update includes NVFP4 quantization suppor...

Ollama launched tiered cloud plans alongside local support. GPU-time-based pricing means efficiency gains from better hardware benefit you directly.

LocalAI is a drop-in replacement for OpenAI and Anthropic APIs, running 35+ model backends locally on any hardware with built-in AI agents.

Claude's /insights command analyzes your recent conversations and generates a report on usage patterns with suggestions for improvement.

81,000 Claude users across 159 countries reveal the dominant desire is not speed but freedom to reclaim time for family and personal growth.

Claude Opus 4.6 and Sonnet 4.6 now offer 1M token context at standard pricing, with no long-context premium and improved retrieval accuracy.

CanIRun.ai estimates which AI models your hardware can run locally. The real sweet spot for local models is structured data tasks, not coding.

Anthropic offers 13 free learning resources for Claude, including Agent Skills, Claude 101, and AI Fluency courses for beginners.

Anthropic launched a free Claude certification course on Skilljar covering Claude and Claude Code in depth. It will move to $99 soon.

Pydantic AI brings type-safe, validated structured outputs to LLM agent development in Python with automatic validation retries and tool calling.

AI task-completion length doubles every 7 months, models resist shutdown, and leading researchers rank AI risk alongside pandemics and nuclear war.

Hannah Fry argues AI is closer to a capable spreadsheet than a creature, and our urge to anthropomorphize it is the root of most AI harms.

RAG stays essential for enterprise-scale data and cost efficiency. Long context wins on simplicity. The right choice depends on dataset size.

Hank Green's top AI concern is not superintelligence but the concentration of reality-defining power in a handful of companies.

A Reddit thread asking for local model recommendations for OpenClaw. No answers provided, just criteria for selection.