What Is RAG? How It Stops AI Hallucinations
RAG lets an LLM retrieve external documents before answering, grounding its response in real sources rather than guesswork. Read more »
RAG lets an LLM retrieve external documents before answering, grounding its response in real sources rather than guesswork. Read more »
Anthropic’s first profitable quarter rides on a SpaceX compute discount that ends in June. Q3 profitability is unlikely per the company’s own investor framing. Read more »
DeepSeek V4 preview launched on April 24, 2026, with V4-Pro output priced at $3.48 per million tokens — roughly 7x cheaper than Claude Opus 4.6’s $25. The model posts 93.5% on LiveCodeBench and a Codeforces rating of 3,206, edging past both Claude and GPT-5.4 on coding while using just 10% of V3.2’s KV cache at 1M-token context. That same week, Tencent and Alibaba opened discussions to invest at a $20 billion-plus valuation, the first outside capital in DeepSeek’s history. Read more »
$30 billion. Four months ago, that number belonged to OpenAI alone. On April 7, 2026, Anthropic revenue on an annualized run-rate basis (ARR, a standard SaaS gauge that multiplies monthly revenue by twelve) crossed $30B — and the company became the first AI startup to pass the chief rival that dominated the sector for three straight years. Read more »
One billion dollars. That was the price tag on OpenAI’s licensing deal with Disney. In April 2026, OpenAI walked away from it — all for a model codenamed GPT-5.5 ‘Spud.’ Read more »
“What’s the difference between an AI agent and a chatbot?” It is now the most common question in product meetings across the enterprise stack. Add LLM to the mix and the confusion doubles. Read more »
One thousand five hundred three. That is Anthropic’s Arena Elo as of March 2026, and it is the number Stanford HAI chose to open its annual AI Index with. When the institute released the 2026 AI Index Report on April 13, it did not bury the lede — the league table at the top of the global AI industry has a new name in first place. Read more »
58.4. That single number just rewrote the leaderboard. The score that now sits atop SWE-Bench Pro — the benchmark that measures whether AI can actually fix real-world software bugs — doesn’t belong to OpenAI, Anthropic, or Google. Read more »
$10 million to $450 million. That is a 45x revenue expansion in two years. Perplexity AI just delivered one of the most dramatic growth sprints in the history of AI startups. Read more »
$5.6 million. That is what it reportedly cost to train a trillion-parameter AI model capable of competing with GPT-5 and Claude Opus. The claim comes from DeepSeek, a Chinese AI startup that has turned efficiency into a geopolitical weapon. Read more »