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Research, models, agents, and the people building the AI-powered future.
Copilot leads on IDE support, Cursor on sustained professional editing, Claude Code on autonomous refactors with an 80.8% SWE-bench score. An honest comparison, including costs.
Anthropic told investors preliminary Q2 revenue exceeded $11.5 billion, against $787 million a year earlier, with positive adjusted operating income ahead of a confidential IPO filing.
Gemini confirmed a billion monthly users; ChatGPT is reported near a billion weekly. Those are very different achievements — and neither tells you which product is winning.
Hiring data contradicts the doom narrative: more employers expect AI to increase entry-level hiring than cut it. The real problem is that 31% have raised the experience bar.
OpenAI released machine-checkable Lean proofs for ten open problems, including a question unsolved since 1999. The verifiability, not the result, is what makes this different.
Claude Opus 5 arrived on 24 July 2026 at the same price as the previous generation — $5 and $25 per million tokens. Why holding prices flat is the real story behind the launch.
Hundreds of billions are flowing into AI, but profits concentrate in surprising places. A layer-by-layer look at the AI economy — and the honest uncertainty underneath it.
Open models now match closed ones on most tasks at a fraction of the cost — but not on the hardest ones. A practical guide to choosing, with the trade-offs stated plainly.
Most people get weak results from AI because they ask vaguely. This practical guide covers the prompting techniques that actually work — and the myths worth ignoring.
AI-designed drugs are reaching late-stage human trials in 2026 — the stage where most candidates fail. A clear look at what AI really does in drug discovery, and what the results will prove.
GPT-5.6 reached general availability on 9 July 2026 — not as one flagship but as three tiers tuned for capability, speed, and cost. Here is what Sol, Terra, and Luna each do and what it signals.
In mid-2026 the price of capable AI models collapsed. The competitive axis has shifted from raw capability to fit — price, speed, and access. Here's what changed and how smart teams are adapting.