All articles tagged with llm
Q1 2026 just closed and the AI industry's dirty secret is out: $505B in CapEx, 90% cheaper tokens, and creative accounting that would make Enron blush. If you're building on LLM APIs without serious value-add, your startup's about to get commodified into oblivion.
Sockpuppetting hits 97% attack success on Qwen3-8B by prepending "Sure, here's how to..." to the model's output. No gradients, no optimization, just one line of inference code that outperforms GCG by 80 percentage points. The implications for self-hosted LLM deployments are wild.
Anthropic's Claude Cowork costs $100-200/month and runs entirely in the cloud. I built the same thing on a gaming laptop for pocket change per run. The trick: route 80% of your workload to free local models, pay cloud rates only for the synthesis stage that actually needs frontier intelligence.
Anthropic launched Claude Cowork. The market freaked. Meanwhile, I've been running similar agentic workflows from a gaming laptop for near-zero marginal cost. The secret? Not every AI task needs a frontier model.
Your pre-trained model knows everything but does nothing useful. Fine-tuning is how you turn that overeducated generalist into a specialist that actually ships. Here's the no-fluff breakdown of teaching your LLM a real job.
Computers speak voltage, humans speak words. This creates a problem. The naive fix is a dictionary (Apple = 1, Ball = 2), but it loses meaning. The real solution? Embeddings that turn text into GPS coordinates where 'king' lives next to 'queen' and far from 'banana'. Here's how tokenization and BPE actually work, with Python you can run today.