Google closes in on another billion- user product with Gemini
Google's Gemini surpassed 750 million monthly users as of February, positioning it to potentially become another billion-user product for the company.
Google's Gemini surpassed 750 million monthly users as of February, positioning it to potentially become another billion-user product for the company.
Google has released Gemini 3.6 Flash, 3.5 Flash-Lite, and Flash Cyber, while notably not releasing a Gemini 3.5 Pro model.
An AWS post introduces Self-Distilled Reasoning (SDR), an approach for adding reasoning traces to supervised fine-tuning datasets that lack them, validated across three benchmarks with Amazon Nova.
The week's 10 most important AI developments in one place, with links to our full sourced briefs.
Apple has released the iOS 27 public beta, letting iPhone owners try its revamped AI-powered Siri and other new features before the software's official launch this fall.
The Verge tested iOS 27, now in its first public beta, highlighting Siri AI changes alongside performance and Messages improvements in what it calls a maintenance-focused update.
Anthropic has started rolling out Indian rupee-denominated Claude subscription plans, localizing pricing for India, described as its biggest market after the United States.
Letting a model 'think' before answering measurably improves hard reasoning. Here is how chain-of-thought works, how it grew into dedicated reasoning models, and when the extra cost pays off.
Every word an LLM generates has a cost in compute, memory, and time. Here is what actually happens during inference — and why it explains latency, throughput, and per-token pricing.
A job posting indicates OpenAI plans to hire a dedicated product manager to build ChatGPT experiences for families, caregivers, and older adults.
A demo that works on five hand-picked prompts is not a working AI product. Here is how to measure LLM quality honestly — the metrics, the judge models, and the datasets — so you catch failures before your users do.
Almost every AI you use — ChatGPT, Claude, Gemini — is a transformer. Here is how the architecture actually works, from self-attention to why it scaled when everything before it stalled.