Публичный реестр каждого изменения — чтобы любой мог проверить, что редакционный firewall работает.
Список — это продукт; здесь — чек о том, как он меняется.
xmr.club
{
"field": "fees_page",
"summary": "New Team plan launched at $25/seat/mo (5-seat minimum) plus Enterprise plan with custom pricing. Previously 'Team' was 'Coming soon'. New team billing/usage model with shared balance. Material change ",
"url_source": "discovered_conventional"
}{
"field": "fees_page",
"summary": "New Max plan sign-ups paused due to capacity constraints. Added 'Plans' FAQ explaining pause and new 'Accounts' FAQ stating one-account-per-person policy. Material change affecting service availabilit",
"url_source": "discovered_conventional"
}{
"field": "fees_page",
"summary": "New Team plan tier added between Max and FAQ — 'Coming soon' enterprise offering with SSO, centralized billing, model access controls, MDM installer, and dedicated Slack support. Pricing not yet publi",
"url_source": "discovered_conventional"
}{"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights