What Does “Local-First” Mean Here?

Local-first means your Trace data is stored in your browser using local storage. No account is required, and your personal saves and Views stay on your device unless you export or move them yourself.

What’s The Difference Between Intelligence And Trace?

Intelligence is the public reference layer: structured events, browsing views, and analytics. Trace is the personal layer: save events and Stats, then build tag-based Views to monitor specific themes over time.

Do I Need An Account?

No. Latentmachine is designed to work without accounts. Trace uses local storage, so your saved items and Views are kept on your device.

Is The Dataset Curated Or Fully Automated?

The dataset is curated and maintained as structured entries. AI is used as a companion for drafting, consistency checks, and refinement, but the goal is a readable, verifiable record rather than an automated firehose.

Privacy-first • No Account Required • Local Storage

The Machine Intelligence Ledger: Mapping the Evolution of the AI Frontier

Latentmachine is a local-first AI market intelligence system for tracking model releases, benchmarks, partnerships, and policy across the LLM landscape. Browse Intelligence to explore the dataset and analytics. Use Trace to monitor specific themes with saved tag Views.

Explore Intelligence Open Trace

Latentmachine AI events and analytics interface placeholder visual

Unified Tracking for the LLM Landscape

A structured AI events database with tags, benchmark tables, and analytics summaries.

Events are organized by company and category, and each entry carries a timestamp, source link, and tag set.

AI Milestone Archive

Curated milestones across model releases, products, hardware, policy, partnerships, and physical AI.

Semantic Tagging & Logic

Tags organize events for filtering, Stats summaries, and Trace Tag Matching.

AI Benchmarks Tracking

Frontier model benchmark tables and comparisons, including GPQA Diamond and SWE-Bench Verified.

AI Analytics Dashboard

Stats summarizes change over time with event counts, dominant tags, category shifts, and response lag by capability tag.

Trace

Custom Dashboard & Tag-Based Event Monitoring

Trace saves selected events and Stats cards, and enables Tag Matching to monitor the dataset through structured queries.

Tag-Match Filtering

Browse and filter events using include and exclude tags. Matching results highlight the tags that triggered each card.

Curated Event Views

Save tag queries as Views with ANY or ALL matching. Rename Views, move them up or down, and sort results by date or relevance.

Local Storage & Zero-Cloud Persistence

Saved items and Views are stored locally using localStorage. No account required.

Open Trace

Intelligence Layer

Browse AI Milestones, Latest Events & Analytics

Intelligence renders a bundled dataset from data.js into Timeline, Feed, Grid, and Stats views. It is not a live feed.

Events follow consistent company, category, timestamp, and tag structures for fast scanning and pattern detection.

Explore Intelligence

Chronological Timeline

A chronological view of events with filtering by company, category, and time range.

AI News Feed

A reading view for event analysis, with consistent sections and source links.

High-Density Event Grids

A dense scanning view for browsing the AI events database quickly.

Comparative Capability Stats & Market Analysis

Benchmark comparisons plus event analytics such as tag frequency and response lag windows.

Signal Over Noise: Why Latentmachine?

Practical outcomes for structured AI industry monitoring.

Eliminate Information Overload

Structured events and tags make it easier to focus on material changes.

Vertical Theme Trackings

Use tag-based Views to follow themes like agents, benchmarks, pricing, and tool use.

Compare Changes Over Time

Stats summarizes shifts over time so events are easier to compare across labs and categories.