Latent Space Newsletter
12m ago
Open-source eval frameworks are converging on the same primitives
Consensus is forming around dataset versioning, grader quality, and reproducible runs.
More signal. Less noise. Better thinking.
Filter helps active learners aggregate, triage, and turn fragmented information streams into durable knowledge without rabbit holes.
Example filter view
24 matchesNew eval harness comparison for production LLM workflows
94Applied AI Weekly
Retrieval tuning checklist from recent RAG incident postmortems
91Builder Feed
Practical taxonomy design for long-term research tracking
88Knowledge Systems Podcast
Why learners trust Filter
Canonical links preserved on every item
Noise suppression tuned to your engagement
Export-ready notes, highlights, and metadata
Quick start
Import your first sources and generate a starter feed in under two minutes.
Product preview
This section mirrors the feed-first workspace pattern with dummy data so we can align on structure, copy, and hierarchy before wiring live app state.
Desktop shell
Filter Workspace
Sources
Source health
41 healthy, 2 need reconnect
Latent Space Newsletter
12m ago
Open-source eval frameworks are converging on the same primitives
Consensus is forming around dataset versioning, grader quality, and reproducible runs.
r/MachineLearning
38m ago
RAG performance drops came from indexing strategy, not the model swap
Thread highlights practical chunking and retrieval settings that outperformed architecture changes.
Focused Builder RSS
1h ago
How to build weekly research loops that actually produce writing output
A repeatable cadence for reading, tagging, and turning notes into publishable drafts.
Reader preview
In flow“Most teams over-focus on model swaps and under-invest in retrieval evaluation.”
Captured note
Benchmark indexing and chunk strategies before evaluating architecture-level changes.
Your feed is heavy on retrieval and eval tooling today. Start with 3 high-signal reads.
3 items worth reading first
Directly matches your active themes: evals, retrieval, and writing systems.
5 items can be batch-archived
Duplicate framing or low-depth takes already covered in stronger sources.
Morning Triage
18 items
Unread + High signal + Last 24h
Build Inputs
24 items
Tooling + Product + AI infra
Weekly Synthesis
11 items
Saved + Tagged + Needs notes
Notion
Push selected notes as a digest page
Obsidian
Export markdown with source links + tags
CSV / JSON
Full item data for custom workflows
Messaging pillars
One place for all your sources
Unified inputs across RSS, newsletters, video, and social so triage happens in one feed.
Attention protection by design
Calm, high-signal interfaces and ranking controls that suppress distraction and repetition.
Knowledge, not just consumption
Save, tag, annotate, and resurface what matters so reading compounds over time.
Your workflow, your data
Export-friendly architecture with handoff points for PKM tools and downstream systems.
Product flow
1. Aggregate
Bring all sources into one normalized stream.
43 connected sources
2 sources need reconnect
2. Triage
Process items quickly with quality and priority signals.
126 unread items scored
Top 18 surfaced as high-signal
3. Synthesize
Turn sessions into durable notes, tags, and reusable output.
12 highlights captured this week
6 notes ready for export
Start focused sessions
Replace scattered tabs with one feed that gets smarter every day.
Start with connected sources, triage the queue, and export your strongest insights into your existing workflow.