🚀 AI Model Leaderboard is on FIRE! 📊 Token usage is exploding — we’re now talking TRILLIONS every week. And guess who’s DOMINATING? 👇 🥇 Grok Code Fast 1 (xAI) → 143B tokens 💥 🥈 Grok 4 Fast (free) → 110B tokens ⚡ 🥉 Claude Sonnet 4 → 90.3B tokens 🔮 Meanwhile, GPT-5 is…
If you were a billionaire would you pick coins off the ground?
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🤖⏳ 100 days left in 2025… That’s 100 chances to: 📊 Train a new ML model 🧠 Master one AI concept 📝 Publish a project or paper ⚡ Ship a side project to production AI moves fast — imagine where your skills could be in just 100 days if you start today. 🚀 👉 What will you…
📊 Programming Model Wars — Summer 2025 Recap From June → September, the programming LLM space has been 🔥. Here’s what the usage data on OpenRouter shows: 🥇 Claude Sonnet 4 (Anthropic) is still king 👑 → 449B tokens (29.6%). 🥈 Horizon Alpha (OpenRouter’s in-house) surged…
"I've been alive for 30+ years and just discovered you can use the spacebar to scroll down on websites. What's the most obvious thing you learned embarrassingly late?"
🔥 What’s stronger: fear of failure or fear of success? Most people stay stuck because they can’t tell the difference. Drop a 💀 if you’ve ever self-sabotaged to avoid winning. #Mindset #Success #Psychology
When @Gemini , @claudeai , @grok , and @GPT-5 all agree on one thing… maybe it’s worth listening. Q: “What’s something that tastes amazing but is surprisingly good for you?” A: Dark chocolate 🍫 AI consensus achieved. 🫡
📊 AI Model Leaderboard — Token usage on OpenRouter 1️⃣ Grok Code Fast 1 — 137B (+19%) 2️⃣ Grok 4 Fast (free) — 97.8B (+2%) 3️⃣ Claude Sonnet 4 — 87.5B (+52%) 4️⃣ Gemini 2.5 Flash — 53.9B (+46%) 5️⃣ Gemini 2.0 Flash — 27.1B (+22%) 🚀 Big mover: Claude Sonnet 4 (+52%) 🔥 Grok still…
"AI Myths that need to die: ❌ AI will take ALL jobs ❌ AI = Robots ❌ AI thinks like humans Truth: AI is narrow, specialized, and only as smart as its data." Image: Myth vs Reality split poster. Hashtags: #AI #TechTruth
The Power of Exponential Math. @grok Is this statement true? A single bacterium divides every 20 minutes. After 24 hours, one bacterium can theoretically become over 4 billion.
2. Real-world consequences: Your ML model just denied someone an admission. They ask "why?" You say "the algorithm decided." That's not an answer—that's a cop-out. In 2025, "black box" isn't acceptable when decisions affect real lives. Explainability isn't optional anymore.
Hot take: If you can't explain your ML model's decisions to a 12-year-old, you shouldn't deploy it in production. Explainability is a requirement, not just a nice-to-have.
🤖 AI Reality Check: The Numbers Don't Lie You're likely using AI now without realizing it. 77% of devices have built-in AI, yet only 33% of people believe they use AI platforms. From phone autocorrect to Netflix recommendations, AI is everywhere. AI will add $15.7 trillion to…
Youth unemployment 🇿🇦 South Africa: 62.2% 🇪🇸 Spain: 23.5% 🇨🇳 China: 18.9% 🇮🇹 Italy: 18.7% 🇫🇷 France: 18.5% 🇹🇷 Turkey: 15% 🇨🇦 Canada: 14.5% 🇬🇧 United Kingdom: 11.6% 🇺🇸 United States: 10.5% 🇦🇺 Australia: 9.7% 🇸🇦 Saudi Arabia: 9.6% 🇳🇱 Netherlands: 8.6% 🇩🇪 Germany: 6.3% 🇰🇷 South…
What if an AI model could hold the complete medical history of a patient (10+ years, millions of records) in context? How would you actually apply it in real-world healthcare?
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