Large Language Models

Stop Scaling GPUs. The AI Industry is Chasing a Dead End.

📅 August 28, 2026 📂 AI & Machine Learning

The father of reinforcement learning, Rich Sutton, reveals a brutal truth: our smartest AI models are just ‘frozen brains’ stuck on graduation day. The industry’s obsession with synthetic data and brute-force GPU scaling is a deceptive trap that delays the real breakthrough—continual learning agents.

AI Paradigm Artificial Intelligence Bitter Lesson Continual Learning Large Language Models Machine Learning Reinforcement Learning Rich Sutton Synthetic Data Tech Innovation

The AI Model That Refuses to See Images – And Why That Might Win Anyway

📅 August 25, 2026 📂 AI & Machine Learning

DeepSeek V4 is a ‘smart blind’ model – strong on text but unable to process images. Yet the real breakthrough isn’t the model itself but the open-source DeepSeek Harness framework, which turns any model into a customizable agent. Most analysts are fixated on benchmarks; the smart money is on the ecosystem.

Agent Framework AI DeepSeek Large Language Models Open Source

Stop Blaming Your Prompts. Your AI Model Is the Problem.

📅 August 21, 2026 📂 AI & Machine Learning

Most AI-generated documents are unreadable because the model is designed for reasoning, not for natural language. The fix isn’t better prompts—it’s choosing the right model and ruthlessly pruning the context you feed it. A product manager’s hard‑won lesson from testing Grok, Claude, and GPT on real project docs.

AI Claude DeepSeek Documentation GPT Grok Large Language Models Natural Language Processing Product Management Prompt Engineering

The AI Industry Is Fighting the Wrong War. Here’s the Real Battlefield.

📅 August 4, 2026 📂 AI & Machine Learning

Stanford’s CS329A course reveals the hidden frontier of AI: not bigger models, but smarter inference-time compute and reliable verifiers. Small models, given 10,000 attempts, can outperform GPT-4. The real bottleneck isn’t parameters—it’s building verifiers that can judge complex outputs. The next AI revolution won’t be about scale; it will be about trust and self-correction.

Agent Architecture AI Agents Inference Scaling Large Language Models Reasoning Scaling Law Verification

Open Source Is for the Poor. Kimi K3 Just Ended That Era.

📅 July 21, 2026 📂 AI & Machine Learning

Kimi K3’s 2.8-trillion parameter model didn’t just top the coding leaderboard; it shattered the illusion that open-source AI equals cheap alternatives. By demanding massive deployment costs and flagship-level API pricing, Moonshot AI has rewritten the rules. Open source is no longer for the poor—it’s a high-value luxury. The gap between model capability and productization is your next big opportunity.

AI AI Pricing Artificial Intelligence Kimi K3 Large Language Models Moonshot AI Open Source Product Management Tech Strategy