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Compare values across categories with grouped bars. This example tracks monthly active users across two platforms.
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Project Update: Q1 2026
Last edited 2 minutes ago
The migration to the new API is 95% complete. All critical endpoints have been tested and validated against the staging environment.
Key Milestones
- Authentication service rewritten in Rust
- Database latency reduced from 120ms to 8ms
- Zero-downtime deployment pipeline live
| Task | Status | Owner |
|---|---|---|
| API migration | Complete | @chen |
| Load testing | In Progress | @park |
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62 professionally designed templates. Customize fonts, colors, and spacing. Or build your own.
Emergent Behavior in Multi-Agent Reinforcement Learning Systems
Department of Computer Science, Stanford University. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Abstract
We investigate emergent cooperative strategies in multi-agent reinforcement learning (MARL) environments with partial observability. Our framework, CoopNet, introduces a shared latent communication channel that enables agents to develop implicit coordination protocols without explicit reward shaping.
Note
All experiments were conducted on a cluster of 128 A100 GPUs over 14 days. Total compute cost: approximately $48,000.
Key Results
| Environment | Baseline | CoopNet | Improvement |
|---|---|---|---|
| Predator-Prey (10v10) | 62.4% | 89.1% | +26.7pp |
| Resource Gathering | 0.71 | 0.93 | +31% |
| Traffic Control | 847 avg wait | 312 avg wait | -63% |
Methodology
We extend the centralized training, decentralized execution (CTDE) paradigm with a variational communication bottleneck. During training, agents share a compressed latent vector z ~ q(z|o_i) of dimension d=64. During execution, each agent conditions its policy on both local observations and received messages.
The most sophisticated coordination we observed was not designed. It emerged from the pressure to succeed together.
Thesis
Academic
The Neon Renaissance
How digital artists are reclaiming the aesthetic of 1980s Tokyo, Miami Vice, and Blade Runner to create a visual language for the AI era. The glow is back, and it is intentional.
Color Theory in the Dark
Neon works because it exploits simultaneous contrast. A hot pink against deep navy creates a vibration that flat design cannot replicate. The eye is drawn to light sources instinctively.
Darkness is not the absence of design. It is the canvas that makes light meaningful.
Key Movements
| Movement | Signature | Origin |
|---|---|---|
| Synthwave | Grid horizons, chrome type | Music culture |
| Cyberpunk | Glitch effects, data overflow | Dystopian fiction |
| Vaporwave | Marble busts, palm trees | Internet irony |
| Neo-Tokyo | Dense vertical cityscapes | Anime, architecture |
Tip
When designing with neon, never use more than 3 glow colors. One primary, one accent, one highlight. More than that becomes noise.
The Palette
- Electric pink:
#FF2D9Bfor primary glow - Cyan:
#00F0FFfor secondary highlights - Deep navy:
#0A0E27for backgrounds - Purple haze:
#7B2FBEfor atmospheric gradients
Neon Nights
Creative
Getting Started with Markdown Publishing
Write in markdown, publish beautifully. Unmarkdown™ transforms raw markdown into polished, professional documents with one click.
Tip
Paste any AI-generated markdown and pick a template. Your document is ready to share instantly.
How It Works
- Write or paste your markdown content
- Choose a template from 62 professional designs
- Publish to a shareable URL, or copy to Google Docs, Word, Slack, and more
Supported Destinations
| Destination | Format | Preserves |
|---|---|---|
| Google Docs | Rich text | Headings, tables, images |
| Microsoft Word | Rich text | Full formatting |
| Slack | Slack markdown | Bold, code, links |
| Inline CSS | All visual styles |
The best formatting tool is the one that disappears into your workflow.
What You Can Format
- Headings with proper hierarchy and spacing
- Code blocks with syntax highlighting
- Tables with clean borders and alignment
- Task lists with interactive checkboxes
- Callouts for notes, warnings, and tips
Swiss
Free
Building a Real-Time Event Pipeline
This guide walks through designing a high-throughput event pipeline using Kafka, Flink, and ClickHouse. We process 2M events/second with sub-100ms latency.
Architecture Overview
Producer → Kafka → Flink → ClickHouse
↓ ↓
Dead Letter Grafana
Queue DashboardWarning
Always set replication: 3 for production topics. Single-replica topics risk data loss during broker failures.
Configuration
kafka:
brokers: ["kafka-01:9092", "kafka-02:9092"]
topic: events.raw
partitions: 32
replication: 3
flink:
parallelism: 16
checkpoint_interval: 30s
state_backend: rocksdbPerformance Benchmarks
| Component | Throughput | Latency (p99) |
|---|---|---|
| Kafka Ingestion | 2.1M/s | 12ms |
| Flink Processing | 1.8M/s | 45ms |
| ClickHouse Write | 1.6M/s | 89ms |
Dracula
Developer
Board of Directors: Q1 2026 Summary
This executive summary presents quarterly performance, strategic initiatives, and forward guidance for shareholder review.
Financial Performance
| Indicator | Target | Actual | Variance |
|---|---|---|---|
| Revenue | $14.2M | $15.8M | +11.3% |
| EBITDA | $3.1M | $3.4M | +9.7% |
| Customer Count | 2,400 | 2,680 | +11.7% |
| Net Retention | 115% | 122% | +7pp |
Tip
Net retention above 120% indicates strong product-market fit. Expansion revenue is outpacing churn by a healthy margin.
Strategic Priorities
- Enterprise expansion: Close 8 deals in pipeline worth $4.2M ARR
- Product differentiation: Launch AI features ahead of competitors
- International: Open London office by end of Q2
We are well positioned to accelerate growth while maintaining disciplined unit economics.
Risk Assessment
| Risk | Likelihood | Impact | Mitigation |
|---|---|---|---|
| Competitor pricing pressure | Medium | High | Accelerate feature roadmap |
| Key hire delays | High | Medium | Engage executive recruiters |
| FX headwinds (APAC) | Low | Low | Hedge quarterly |
Executive
Business
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12 AI actions. One click each.
Fix grammar, adjust tone, add structure, translate. No prompting required.
Input
so basically the new auth system is way faster and we fixed alot of the bugs that were causing issues for ppl. the team did great work on this tbh and we should be good to ship it by friday
Output
The new authentication system delivers significantly faster performance. We resolved the key bugs that were impacting users. The team executed exceptionally well, and we are on track to ship by Friday.
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- 10,000 API calls/month
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