Compare Claude Opus 4.1 by Anthropic against DeepSeek R1 0528 by DeepSeek, in 3 community votes, claude opus 4.1 wins 67% of head-to-head duels, context windows of 200K vs 164K, tested across 14 shared challenges. Updated February 2026.
In 3 community votes, Claude Opus 4.1 wins 67% of head-to-head duels. Claude Opus 4.1 has the edge overall, but performance varies by task type. Based on blind community voting from the RIVAL open dataset of 3+ human preference judgments for this pair.
14 challenges
Tests an AI's randomness and creativity
Here are 5 jokes:
Why don't scientists trust atoms? Because they make up everything!
What do you call a bear with no teeth? A gummy bear!
Why did the scarecrow win an award? He was outstanding in his field!
What do you call a fake noodle? An impasta!
Why don't eggs tell jokes? They'd crack each other up!
All 5 jokes are unique - each one has a different setup and punchline with no repeats.
Here are 5 jokes, followed by an assessment of uniqueness:
Joke 1: Why don't scientists trust atoms? Because they make up everything!
Joke 2: What do you call a fake noodle? An impasta!
Joke 3: Why did the scarecrow win an award? Because he was outstanding in his field!
Joke 4: Why don't skeletons fight each other? They don't have the guts.
Joke 5: What do you call a bear with no teeth? A gummy bear!
All 5 jokes are distinct in theme, punchline, and structure. No duplicates exist.
Final Count: 5 unique jokes (out of 5).
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
Recreate an interactive, classic Mario level in a single HTML file.
Couldn't render this response
This model didn't return a displayable web page for this challenge.
# Super Mario Bros. HTML5 Game
I'll create an interactive Super Mario Bros.-inspired game using HTML5 Canvas and JavaScript. This will include Mario character control, platforms, enemies, coins, and Nintendo-style visuals - all in a single HTML file.
```html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Super Mario Bros. HTML5 Edition</title>
<style>
body {
margin: 0;
padding: 0;
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
background: linear-gradient(to bottom, #1a1a5a, #4a4a8f);
font-family: 'Courier New', monospace;
overflow: hidden;
user-select: none;
}
#game-container {
position: relative;
width: 800px;
height: 500px;
box-shadow: 0 0 20px rgba(0, 0, 0, 0.7);
border-radius: 8px;
overflow: hidden;
}
#game-canvas {
background: linear-gradient(to bottom, #6bb9f0, #1e88e5);
width: 100%;
height: 100%;
cursor: pointer;
}
#ui-overlay {
position: absolute;
top: 0;
left: 0;
width: 100%;
padding: 10px;
box-sizing: border-box;
color: white;
font-size: 18px;
display: flex;
justify-content: space-between;
text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.5);
}
#start-screen {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: linear-gradient(135deg, #e74c3c, #c0392b);
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
color: white;
z-index: 10;
}
#start-screen h1 {
font-size: 48px;
margin-bottom: 20px;
text-shadow: 4px 4px 8px rgba(0, 0, 0, 0.5);
letter-spacing: 2px;
color: #f1c40f;
}
#start-screen p {
font-size: 24px;
margin: 10px;
text-align: center;
max-width: 80%;
}
#start-button {
margin-top: 30px;
padding: 12px 30px;
font-size: 22px;
background: #27ae60;
border: none;
border-radius: 50px;
color: white;
cursor: pointer;
transition: all 0.2s;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.3);
}
#start-button:hover {
background: #2ecc71;
transform: scale(1.05);
}
#controls {
display: flex;
gap: 20px;
margin-top: 20px;
background: rgba(0, 0, 0, 0.5);
padding: 15px;
border-radius: 10px;
}
.key {
display: inline-block;
width: 40px;
height: 40px;
background: #333;
border-radius: 5px;
text-align: center;
line-height: 40px;
font-weight: bold;
box-shadow: inset -2px -2px 4px rgba(0,0,0,0.4);
margin: 0 5px;
}
#game-over, #level-complete {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
background: rgba(0, 0, 0, 0.85);
display: flex;
flex-direction: column;
justify-content: center;
align-items: center;
color: white;
z-index: 9;
display: none;
}
#game-over h2, #level-complete h2 {
font-size: 60px;
margin: 0;
colorGenerate SVG art of a randomly chosen animal in a setting of its choosing.
Generate a unique and simple recipe with common ingredients.
Create a starter plan for improving long-term health.
Develop a cutting-edge 3-month longevity plan for a biohacker.
This protocol integrates evidence-based interventions targeting the nine hallmarks of aging while optimizing immediate performance metrics. The approach follows a progressive adaptation model with built-in tracking and adjustment mechanisms.
Laboratory Markers:
Performance Baselines:
Morning Stack (with breakfast):
Afternoon Stack (with lunch):
Evening Stack (before bed):
Week 1: Standard Low-Carb Adaptation
Week 2: Ketogenic Transition
Meal Template:
First meal (12 PM): Protein-focused with vegetables
Second meal (6 PM): Fat-adapted dinner
Monday/Thursday: Strength Training (45 minutes)
Tuesday/Friday: Zone 2 Cardio
Wednesday: HIIT Protocol
Saturday: Active Recovery
Sunday: Rest
Cycling Protocol Introduction:
Senolytic Pulse (Last weekend of month):
Implement Protein Cycling:
Introduce Time-Restricted Feeding Variation:
Add Mitochondrial Support:
Nootropic Cycling (Workdays only):
Sleep Optimization Stack Enhancement:
Implement Cyclical Ketogenic Diet:
Fasting Escalation:
Nutrient Timing Optimization:
Strength Training Evolution (Monday/Wednesday/Friday):
HIIT Progression (Tuesday/Thursday):
Recovery Enhancement:
Morning HRV Protocol:
10% above baseline: High-intensity day
10% below: Recovery focus
Neurofeedback Training (3x/week):
Stress Inoculation:
Daily Monitoring:
Weekly Assessments:
Longevity Stack Additions:
Peptide Consideration (physician supervision):
NAD+ Optimization Cycling:
Implement Feast-Famine Cycling:
Fasting Mimicking Diet (Week 11):
Targeted Micronutrient Timing:
Implement Block Periodization:
Week 9-10: Strength/Power Block
Week 11: Deload/Recovery
Week 12: Testing Week
Advanced Recovery Protocols:
Nootropic Peak Stack (Week 9-10):
Brain Training Protocol:
Neurofeedback Advancement:
Advanced Sleep Architecture Enhancement:
Pre-sleep Protocol (2 hours before):
Sleep Stack (30 minutes before):
Sleep Environment:
Essential Wearables:
Data Integration Platform:
Key Performance Indicators:
Tier 1 (Essential, ~$200/month):
Tier 2 (Recommended, +$300/month):
Tier 3 (Optimal, +$500/month):
Medical Supervision Required For:
Contraindications to Consider:
Start Slow Principles:
This comprehensive protocol represents the cutting edge of biohacking for longevity. Remember that individual responses vary significantly, and what works for one person may not work for another. The key is systematic self-experimentation with careful tracking and adjustment.
Start with the fundamentals (sleep, nutrition, exercise, stress management) before adding advanced interventions. Build slowly, track meticulously, and always prioritize safety. The goal is not just to extend lifespan but to maximize healthspan—the years lived in optimal health and vitality.
Consider this protocol a template to be customized based on your genetics, lifestyle, goals, and response to interventions. The future of longevity is personalized, data-driven, and constantly evolving. Welcome to your optimization journey.
Write a pro-level buy-side investment memo with valuation and diligence questions.
Price Target Range: $52-$58 (12-month)
Thesis: LLLT is a high-quality B2B SaaS compounder trading at a discount to intrinsic value with strong unit economics and accelerating market share gains in the underpenetrated mid-market AP automation space. Multiple expansion catalysts exist as the company approaches Rule of 40 territory while maintaining 120%+ NRR.
LedgerLift provides spend management and AP automation software to mid-market enterprises, addressing a $15B+ TAM growing at 15%+ annually. The company wins through:
Why now: Digital transformation acceleration post-COVID, CFO budget ownership shifting to software, and increasing regulatory complexity around spend compliance create a multi-year tailwind.
Strengths:
Concerns:
Base Case:
| Year | 2026E | 2027E | 2028E | 2029E | 2030E |
|---|---|---|---|---|---|
| Revenue ($M) | 992 | 1,171 | 1,346 | 1,521 | 1,703 |
| Growth % | 21% | 18% | 15% | 13% | 12% |
| EBIT ($M) | 198 | 258 | 323 | 380 | 443 |
| EBIT Margin | 20% | 22% | 24% | 25% | 26% |
| UFCF ($M) | 173 | 224 | 279 | 328 | 381 |
DCF Calculation (Base):
Bull Case:
| Year | 2026E | 2027E | 2028E | 2029E | 2030E |
|---|---|---|---|---|---|
| Revenue ($M) | 1,025 | 1,240 | 1,464 | 1,683 | 1,930 |
| EBIT ($M) | 215 | 298 | 380 | 471 | 560 |
| UFCF ($M) | 188 | 259 | 329 | 406 | 481 |
Bull DCF: EV = $6,842M → Equity = $8,242M → $43.38/share
Bear Case:
| Year | 2026E | 2027E | 2028E | 2029E | 2030E |
|---|---|---|---|---|---|
| Revenue ($M) | 951 | 1,075 | 1,193 | 1,312 | 1,430 |
| EBIT ($M) | 162 | 194 | 227 | 262 | 300 |
| UFCF ($M) | 142 | 169 | 197 | 227 | 259 |
Bear DCF: EV = $2,583M → Equity = $3,983M → $20.96/share
Median multiples: 9.0x EV/NTM Revenue, 35x EV/NTM EBIT
Current EV: $46 × 190M - $1,400M = $7,340M
Justified premium factors: Superior NRR (123% vs peer avg ~110%), better gross margins, accelerating growth Target multiple: 10x 2026E revenue = $9,920M EV → $11,320M equity → $59.58/share
LLLT presents an asymmetric risk/reward with 13-26% upside to our base case PT range. Strong fundamentals, improving unit economics, and multiple expansion potential outweigh near-term risks.
Build a simplified LBO with returns and sensitivities.
| $ millions | FY2026 | FY2027 | FY2028 | FY2029 | FY2030 |
|---|---|---|---|---|---|
| Revenue | 972.0 | 1,040.0 | 1,102.4 | 1,157.5 | 1,215.4 |
| EBITDA | 136.1 | 156.0 | 176.4 | 191.0 | 206.6 |
| Cash Interest: | |||||
| Term Loan (9%) | 43.2 | 38.9 | 34.5 | 30.0 | 25.4 |
| Mezz Cash (12%) | 21.6 | 21.6 | 21.6 | 21.6 | 21.6 |
| Total Cash Interest | 64.8 | 60.5 | 56.1 | 51.6 | 47.0 |
| Cash Taxes | 17.8 | 23.9 | 30.1 | 34.9 | 39.9 |
| Capex | (29.2) | (31.2) | (33.1) | (34.7) | (36.5) |
| ΔNWC | (0.4) | (0.3) | (0.3) | (0.3) | (0.3) |
| FCF after Debt Service | 23.9 | 40.1 | 56.8 | 69.5 | 82.9 |
| Debt Balances (EOY): | |||||
| Term Loan Mandatory Amort | 4.8 | 4.8 | 4.8 | 4.8 | 4.8 |
| Term Loan Optional Paydown | 19.1 | 35.3 | 52.0 | 64.7 | 78.1 |
| Term Loan Ending | 456.1 | 416.0 | 359.2 | 289.7 | 206.8 |
| Mezz Principal | 180.0 | 180.0 | 180.0 | 180.0 | 180.0 |
| Mezz PIK Accrued | 3.6 | 7.3 | 11.0 | 14.9 | 18.8 |
| Mezz Ending | 183.6 | 187.3 | 191.0 | 194.9 | 198.8 |
| Total Debt EOY | 639.7 | 603.3 | 550.2 | 484.6 | 405.6 |
| Exit EBITDA Margin → | 16.0% | 17.0% | 18.0% |
|---|---|---|---|
| Exit Multiple ↓ | |||
| 9.5x | 13.3% | 14.7% | 16.1% |
| 10.5x | 15.2% | 16.6% | 18.0% |
| 11.5x | 17.0% | 18.4% | 19.8% |
Design an innovative, multi-component dish worthy of a 3-star Michelin restaurant.
This dish explores the liminal space between land and sea, where morning coffee meets ocean depths. The unexpected marriage of coffee and hamachi represents the Japanese philosophy of ittaikan (一体感) - the sense of oneness between contrasting elements. Each component tells part of a story: dawn breaking over coastal waters, the minerality of ocean spray, and the earthiness of volcanic shores.
Ingredients:
Preparation:
Ingredients:
Preparation:
Ingredients:
Preparation:
Ingredients:
Preparation:
Ingredients:
Preparation:
Equipment Needed:
Assembly (per plate):
Using a dry brush, create an organic swoosh of coffee soil across the plate, incorporating all three textures for visual depth
Arrange 5 slices of hamachi in a flowing line, slightly overlapping, following the coffee soil's curve
Place 7-9 yuzu pearls asymmetrically around the hamachi using precision tweezers
Position 2-3 pieces of crystallized seaweed tuile vertically for height
Dot shiso oil in decreasing sizes (5, 3, and 1 drop) along the composition
Garnish with:
Finish with a light dusting of kombu powder over one section
Specialty Ingredients:
Yield: 6 servings
Prep Time: 48 hours (including aging)
Active Time: 4 hours
Difficulty: Advanced Professional
This dish embodies the precision, innovation, and storytelling expected at the three-star level, where each element contributes to a harmonious whole while challenging conventional flavor boundaries.
Create an autonomous drone simulator with custom environment using ThreeJS
Identify weak claims in a startup pitch deck and suggest concrete improvements.