Pulse
Radar
01 / ACTION QUEUE
[AI-RANKED · 3 PRIORITY ITEMS · GENERATED 2026-05-12 06:00 CDT]Evaluate Brush v0.3.0 against current splat pipeline.
WHYApple Silicon native unblocks CorbeauSplat. Removes our biggest current bottleneck (CPU-only stage 2 training).
DO1-2h spike on Acme Food Truck dataset. Compare wall-clock + visual quality. Document in CorbeauSplat note.
Stage Pixal3D evaluation against Polycam for next client deliverable.
WHYPixel-aligned image-to-3D could 5× our capture throughput and remove the photogrammetry stage entirely for medium-scale jobs.
DOSubscribe to the repo, set a watch alert. Day of code drop: 4h on a Building C subset, compare to existing photogrammetry mesh.
Extract methodology from the alligator survey FB post into Cameron Parish proposal.
WHYDirect field-methods reference from a comparable LA survey. Will materially improve our LSU subaward writeup quality.
DO30-min read + extract relevant paragraphs into Obsidian under Cameron Parish project. Cite source.
02 / FINDINGS
[22 ITEMS · ACROSS 6 STREAMS]chevron_right MAY 12 R3 PAPERS Pixal3D: Pixel-Aligned 3D Generation from Images arXiv flag
New methodology for high-fidelity 3D reconstruction using pixel-aligned features. Significant performance uplift in zero-shot tasks vs. existing photogrammetry pipelines. Paper authors confirm code drop scheduled for end-of-month.
If results hold on real-world capture, this collapses our 3-stage photogrammetry pipeline into one model pass. Could 5× capture throughput for medium-scale jobs and eliminate the cubemap-split workaround we built for splat training.
Owner: Ian · Window: day code drops · Effort: ~4h eval
Watch the arXiv project page + GitHub repo. Day of code release: 4h evaluation on Building C subset (~200 images). Compare visual fidelity + wall-clock against current photogrammetry mesh. Document in CorbeauSplat note.
- Building CCould replace stage-1 photogrammetry entirely for the interior viewer track.
- CorbeauSplatRemoves cubemap-split workaround required for current vocab-tree SfM path.
- Acme Food TruckRe-process existing 630 A7III ARW set with new method, compare to X5 sparse pass.
chevron_right MAY 12 R3 RELEASES claude-code v2.1.139 anthropics/claude-code flag
Major release with new MCP debugging tools, stream-json improvements, and the long-awaited subagent isolation flag. Affects every project we run through Claude Code.
Upgrade across Mac Studio + Mac Pro + Mac Mini + MacBook Pro this week. Use `~/.claude/scripts/network-sync` to keep configs in lockstep.
chevron_right MAY 11 R3 RELEASES Brush v0.3.0 — Apple Silicon native brush-rs/brush flag
Stage-2 splat training now runs natively on Apple Silicon. Removes the single biggest current bottleneck (CPU-only training was ~6× slower than CUDA-on-rental).
Unblocks the CorbeauSplat workflow that was bottlenecked on TensorDock/Vagon rentals. We can train splats locally on Mac Studio overnight instead of paying $40/training run.
Today, ~2h: smoke-test on Acme Food Truck dataset. Compare wall-clock + visual quality vs. last TensorDock run. Document in CorbeauSplat note.
- CorbeauSplatLocal-first stage-2 training, no more rental compute.
- Building C 360 ViewerFaster interior viewer iteration loop.
- Acme Food TruckReprocess locked X5 + A7III sets without re-renting GPU time.
chevron_right MAY 10 R3 RELEASES vectorbt v1.0.0 — stable polakowo/vectorbt flag
Backtesting framework hits 1.0 stable. API surface is now locked — safe to build on without expecting breaking changes.
Trade Lab integration: scaffold a `backtests/` module + write 1 reference backtest against the existing Alpaca paper strategy. ~3h.
chevron_right MAY 12 R2 TIKTOK Waymo Style — robotaxi soundtrack remix @cavumedia favs flag
Sound design direction reference for MixMatrix v3 brand video.
chevron_right MAY 12 R3 FACEBOOK Drone surveyor's full Cameron-style alligator protocol post Saved · 6h ago flag
Direct field-methods reference for Cameron Parish alligator nesting survey. Save methodology section verbatim.
chevron_right MAY 11 R3 SOCIAL Mjøssykehuset 1km² gaussian splat reconstruction r/NeuralRadianceFields flag
Real-world 1km² hospital-campus splat with full capture-to-render pipeline notes posted publicly. ~12,000 images, COLMAP + Brush, total processing ~8h.
Direct reference for Cameron Parish 17.5 km² planning. Their image-count → area ratio gives us a defensible estimate for the LSU subaward budget.
Extract their pipeline timing into the Cameron Parish proposal. Cite as comparable. ~30m.