AI Agent Benchmarks Are Breaking in 2026
Why soaring AI agent benchmark scores mislead — Berkeley’s exploit of 8 benchmarks, OpenAI’s SWE-bench retirement, and the pass@1 reliability gap. Read more »
Latest on generative AI, model launches, enterprise rollouts, and AI policy shifts worldwide.
Why soaring AI agent benchmark scores mislead — Berkeley’s exploit of 8 benchmarks, OpenAI’s SWE-bench retirement, and the pass@1 reliability gap. Read more »
How do giant AI models stay fast despite huge parameter counts? A walk through Mixture of Experts: routers, active vs total parameters, and the VRAM trade-off. Read more »
Frontier training costs head toward a $1B run by 2027, while running the same capability fell 1,000x in three years — the great AI compute divergence. Read more »
A plain-English guide to reasoning models: how chain-of-thought and test-time compute let AI think before answering, from o1 to the real cost of overthinking. Read more »
OpenAI’s Dreaming V3 swaps ChatGPT’s saved-memory list for a background process that reads past chats and refreshes itself over time, hitting 82.8% recall. Read more »
Small language models run on 1-7B parameters and execute offline on phones, cutting cloud costs up to 90% while nearing the quality of far larger cloud models. Read more »
SoftBank will invest up to €75 billion to build 5GW of AI data center capacity in France, with a 3.1 GW first phase targeted for 2031. Read more »
RAG lets an LLM retrieve external documents before answering, grounding its response in real sources rather than guesswork. 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 »
Mira Murati’s $12B AI startup Thinking Machines Lab signed a single-digit billion dollar AI infrastructure deal with Google Cloud on April 22, 2026, at Google Cloud Next 2026. The agreement bundles Nvidia’s latest GB300 chips inside A4X Max virtual machines with Kubernetes Engine, Spanner, and storage services. It is the lab’s first cloud provider contract and operates as a bridge to the separate 1-gigawatt NVIDIA Vera Rubin partnership slated for early 2027. Read more »