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Tested on SemiAnalysis’ InferenceX benchmark, Jalapeño registered both more tokens per user and more throughput per kilowatt than the currently available state-of-the art.

Now exiting stealth mode with a $26 million seed round, Keenable has been building a vast web search index for AI agents.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How to encourage smarter AI use in the classroom Chatbots took schools by surprise. Suddenly, students carried an app in their phones that could magically answer almost any homework question or…

Humanoid robots are having a moment in China. The popular machines are part of the country’s strategy to bring artificial intelligence into daily life. Embedding the technology into physical systems - an idea called embodied AI - was a key facet of China’s latest five-year plan, and companies here are already world leaders in humanoids. Nearly 90% of the…

arXiv:2608.21362v1 Announce Type: new Abstract: Transformer-based large language models (LLMs) incur high prefill latency because key-value (KV) tensors must be recomputed for each request. Existing prefix-caching systems reduce this cost but require prompts to share a leading contiguous prefix, limiting effectiveness when shared content appears at arbitrary positions. We present KVBoost, a chunk-level KV cache reuse system for HuggingFace-compatible decoder models that enables reuse regardless of content position. KVBoost introduces a dual-hash keying scheme that separates positional identity (prefix hash) from content identity (content hash), supporting both exact and approximate cache matches. To address attention boundary errors from independently cached chunks, KVBoost employs two repair strategies: SelectiveRecompute, which re-encodes boundary regions, and CacheBlendRecompute, which identifies and recomputes high-deviation tokens after a probe pass. The system further incorporates asymmetric KV quantization (int8/int4), adaptive chunk boundary splitting, and importance-weighted eviction under a fixed memory budget. Evaluated on Qwen/Qwen2.5-3B over 1,000 bug-localization samp

84 Reddit threads entered the retrieval pool. Zero got cited. The new tool-call format shows what ChatGPT fetches before it answers. The post ChatGPT Rebuilt Its Search Tool, I Read The New Language It Speaks appeared first on Search Engine Journal .

Google has brought its developing-topic link carousels to AI Mode, putting timely article links and Preferred Sources prominently inside AI responses. The post Google Brings Developing-Topic Link Carousels To AI Mode appeared first on Search Engine Journal .

AI can flatten decades of localized expertise into one generic brand impression, meaning global brands must translate credentials into evidence machines actually recognize. The post Why International SEO Needs Machine-Recognizable E-E-A-T appeared first on Search Engine Journal .